Search Results

Search found 13151 results on 527 pages for 'performance counters'.

Page 187/527 | < Previous Page | 183 184 185 186 187 188 189 190 191 192 193 194  | Next Page >

• ArchBeat Link-o-Rama for August 1, 2013

  - by OTN ArchBeat

  Performance Tuning – Systems Running BPEL Processes | Ravi Saraswathi and Jaswant Sing Ravi Saraswathi and Jaswant Singh, the authors of "Oracle SOA BPEL Process Manager 11gR1 - A Hands-on Tutorial" explain performance tuning of SOA composite applications for optimal performance and scalability. Steps to configure SAML 2.0 with Weblogic Server | Puneeth The blogger known only as Punteeth shares an illustrated technical post that will be of interest to those working with Oracle WebLogic and the Security Assertion Markup Language (SAML). Video: Planning and Getting Started - Developer PCs | Chris Muir Tune in to the latest episode of ADF Architecture TV to see Chris Muir explain why you don't have to buy the most expensive PCs in order to run JDeveloper. Key User Experience Design Principles for working with Big Data | John Fuller User Experience Designer John Fuller shares 6 core design principles for working with big data that focus on "helping people bring together a variety of data types in a fast and flexible way." Event: OTN Developer Day: ADF Mobile - Burlington, MA - Aug 28 Through six sessions, including a hands-on workshop, you'll learn a simpler way to leverage your existing skills to develop enterprise mobile applications using Oracle ADF Mobile. Registration is free, but seating is limited. Optimizing WebCenter Portal Mobile Delivery | Jeevan Joseph FMW solution architect Jeevan Joseph "walks you through identifying and analyzing some common WebCenter Portal performance bottlenecks related to page weight and describes a generic approach that can streamline your portal while improving the performance and response times." Customizing specific instances of a WebCenter task flow | Jeevan Joseph Fusion Middleware A-Team solution architect Jeevan Joseph strikes again with this article that explains "how to set up parameters on MDS customization so that it is applied only under certain conditions...making it possible to customize individual instances of task flows." Exalogic Virtual Tea Break Snippets – Modifying Memory, CPU and Storage on a vServer | Andrew Hopkinson FMW solution architect Andrew Hopkinson walks you through "the simple process of resizing the resources associated with an already existing Exalogic vServer." Oracle ADF Mobile Virtual Developer Day - Next Week | Shay Shmeltzer JDeveloper product team lead Shay Schmeltzer shares agenda information for the OTN Virtual Developer Day event covering Mobile Application Development for iOS and Android, coming up one week from today, on August 7, 2013, 9am PT/Noon ET/1pm BRT. What's New In Oracle Enterprise Pack for Eclipse 12.1.2.1.0? New features and updates on the newly-released Oracle Enterprise Pack for Eclipse 12.1.2.1.0, now available for download from OTN. IOUG Cloud Builders Unite | Jeff Erickson Check out this great Oracle Magazine article by Jeff Erickson about IOUG members organizing around their common interest in building private clouds. Thought for the Day "Stuff that's hidden and murky and ambiguous is scary because you don't know what it does." — Jerry Garcia (August 1, 1942 – August 9, 1995) Source: brainyquote.com

  Read the article

• It's called College.

  - by jeffreyabecker

  Today I saw yet another 'GUID vs int as your primary key' article. Like most of the ones I've read this was filled with technical misrepresentations and out-right fallices. Chef's famous line that "There's a time and a place for everything children" applies here. GUIDs have distinct advantages and disadvantages which should be considered when choosing a data type for the primary key. Fallacy 1: "Its easier" An integer data type(tinyint, smallint, int, bigint) is a better artifical key than a GUID because its easier to remember. I'm a firm believer that your artifical primary keys should be opaque gibberish. PK's are an implementation detail which should never be exposed to the user or relied on for business logic. If you want things to come back in an order, add and ORDER BY clause and SortOrder fields. If you want a human-usable look-up add a business key with a unique constraint. If you want to know what order things were inserted into a table add a timestamp. Fallacy 2: "Size Matters" For many applications, the size of the artifical primary key is going to be irrelevant. The particular article which kicked this post off stated repeatedly that joining against an int has better performance than joining against a GUID. In computer science the performance of your algorithm is always a function of the number of data points. This still holds true for databases. Unless your table is very large, the performance difference between an int and a guid probably isnt going to be mesurable let alone noticeable. My personal experience is that the performance becomes an issue when you start having billions of rows in the table. At this point, you should probably start looking to move from int to bigint so the effective space/performance gain isnt as much as you'd think. GUID Advantages: Insert-ability / Mergeability: You can reliably insert guids into tables without key collisions. Database Independence: Saving entities to the database often requires knowing ids. With identity based ids the id must be selected back after every insert. GUIDs can be generated application-side allowing much faster inserts. GUID Disadvantages: Generatability: You can calculate the next id for an integer pk pretty easily in your head but will need a program to generate GUIDs. Solution: "Select top 100 newid() from sysobjects" Fragmentation: most GUID generation algorithms generate pseudo random GUIDs. This can cause inserts into the middle of your clustered index. Solutions: add a default of newsequentialid() or use GuidComb in NHibernate.

  Read the article

• Missing Indexes DMV Report, 3 billion Impact!

  - by Tara Kizer

  We’ve been having some major performance issues with one of the applications that I support.  The database is on SQL Server 2005 and is about 150GB in size.  We’ve identified a couple of issues already on the database side.  The first issue is that some query (or maybe several queries) is getting a bad execution plan at some point in time during the day.  When it occurs, database performance comes to a grinding halt.  We know it’s a bad execution plan as running DBCC FREEPROCCACHE immediately resolves the problem system-wide.  As we have not yet identified the problematic query, we’ve put a temporary solution in place that frees the procedure cache on an hourly basis via a SQL Agent job.  This is not ideal, but it is getting us through the day without a major problem.  We are actively working on identifying the problematic query and hope to disable the SQL Agent job soon. Earlier this week, we had a major slowdown for one of the processes of this application.  I was unable to find any database performance issues, but I continued to investigate it.  One of things that I typically do when investigating database performance issues is run the “Missing Indexes DMV Report” (that’s what I call it at least).  When analyzing the output of that report, I immediately dismiss anything under 1 million “Impact” as I want to target the “low-hanging fruit” initially.  When I ran the report earlier this week, I was shocked to find a suggested index with an impact of over 3 billion! Do I win a prize for the highest impact?  Has anyone seen a value higher than mine?  My exact value was 3154284120.67765. The performance issue from earlier this week ended up being an application problem, but it also brought to light a much needed index.  I had previously seen this index come up in that report but always with a much lower impact.  I had never considered it as the index’s selectivity is very low.  It’s a composite index with three columns.  The first column is not selective, the first two columns are not selective, and the three columns together are not selective.  In fact, no matter how I order it, the index will not be selective at all.  I briefly discussed this with Kimberly Tripp, and she said that this was okay for covering indexes.  Selectivity is irrelevant for a covering index.  She indicated that she’s even created indexes with gender as the first column in the index.  I’ve got lots to learn still!

  Read the article

• Oracle Service Cloud May 2014 Release – Focus on your driving by JP Saunders

  - by Tuula Fai

  The next time you’re twiddling dials on your car’s dashboard to get the air to blow in the right direction, and the right song to play on the stereo, while pulling on the wires to charge your phone and punching in passwords to re-sync your hands-free headset to take a call, consider this… Does having a better dashboard UI in your car improve your driving performance? The Tesla car has one of the most modern and intuitive dashboards in any commercial car today. It is actually based on the design of a smart phone, which can download apps and updates directly from the cloud.  The 17” touchscreen, Lynx-based dashboard totally integrates all channels and devices, allowing the driver to focus on the smooth driving and power of this luxury (toy) car.  What the folks at Tesla didn't do was avoid the complexity of our needs. Instead, they streamlined them. And, while we might not all be able to afford a Tesla, their approach demonstrates that a modern UI approach can ultimately make a positive difference in our lives and businesses.  This is why the productivity and effectiveness of a Modern Contact Center is many times greater than that of a traditional contact center. Agents in a Modern Contact Center get to focus on the task at hand, the customer engagement, rather than stumbling their way through Lego blocks of complexity.  The Oracle Service Cloud is a modern approach to customer service that empowers your agents to achieve greater focus on improving your operational and strategic success through streamlined business processes.  Here are some of the recent May 2014 release highlights to the Oracle Service Cloud: Performance Enhanced Desktop UI A modern agent desktop interface that optimizes clumsy tasks, logins, screens and workflows and is optimized for agent and system performance. Improvements include performance for drag-and-drop configurable views, saved searches, and improved caching for high-speed performance even during disconnected or slow internet access.  Customer Experience Routing A streamlined automatic way to connect the right customer need to the best agent skills, based on multidimensional variables such as product skills, language skills, workload, call volume to optimize the connection and resolution experience. On-The-Go Mobile Improvements to the Agent mobile app that extend connectivity to websites, and customer surveys that are mobile-ready and rendered for any device, and ensure the customer’s voice is captured while the insight is still top of mind.  Infused Social Engagement Enhancements to infused social capabilities allow agents to respond in social threads directly from within the agent desktop, with the information becoming part of the incident record for automatic actions (such as replay or escalate) triggered off the response. Front-End Siebel Contact Center The market leading online Web Customer Self-Service interface from the Oracle Service Cloud, is now out-of-the-box ready for Oracle Siebel customers. Deploy a new online web self-service interface in a matter of weeks to have customers self-serve and self-solve answers, with escalated incidents routed directly into the Oracle Siebel Contact Center. For more information on the latest enhancements for the Oracle Service Cloud, please see the Oracle Service Cloud May 2014 Capabilities and Benefits. Related blogs: Oracle Service Cloud Feb 2014

  Read the article

• Why is the server performance so poor? What can be done to improve the speed of the server?

  - by fslsyed

  Very slow processing using Windows Server2008 R2 Standard with Service Pack One. Situation: Read a text file using the text data to populate a series of MS Sql tables. The converted data is used to generate monthly PDF invoice files; the PDF files are saved directly to the hard drive. The application is multi-threading with one thread used for the text conversion and three threads for PDF invoice generation. The text conversion is occurring concurrently with the invoice generation. Application Software: C# using Microsoft Visual Studio 2010 Ultimate. Crystal Report Writer 2011 with runtime 13_0_3 64 bit version. Targeted platform is x64; also tested as x86, and Any CPU with similar results. Microsoft .NET Framework 4.0. Microsoft Sql 2008 Issue: The software is running very slowly. The conversion of the text file is approximately six hundred fifty records per second and generation of the PDF files is approximately twelve invoices per minute. The text file to be converted is six hundred Meg with seven thousand invoices to be generated. The software was installed on three different machines from the same distribution files. The same text file was converted on each machine. The user executing the application was an administrator on each machine. The only variances were the machine and operating system. The configurations are as follows: Server: Operating System: Windows Server2008 R2 Standard 64-bit (6.1, Build7601) SP1 Service Pack: System Manufacturer: IBM System Model: System x3550 M3-[7944AC1]- BIOS: Default System BIOS Processor: Intel® Xeon® CPU E5620@ 2.4GHz (16 CPUs) Memory: 16384MB Notebook: Operating System: Windows 7 Home Premium Standard 64-bit (6.1, Build7601) System Manufacturer: Hewlett-Packard System Model: HP Pavilion dv7 Notebook PC BIOS: Default System BIOS Processor: AMD Phenom II N640 Dual-Core Processor 2.9GHz (2 CPUs) Memory: 6144MB Desktop: Operating System: Windows 7 Professional 64-bit (6.1, Build7601) SP1 System Manufacturer: Dell Inc. System Model: OptiPlex 960 BIOS: Phoenix ROM BIOS PLUS Version 1.10 A11 Processor: Intel Core™2 Quad CPU Q9650 @3.00GHZ (4 CPUs) Memory: 16384MB Processing results per machine: The applications were executed seven times with the averages being displayed below. Machine Text Records Invoices Generated Converted Per Minute Per Minute Server (1) 650 12 Notebook 980 17 Desktop 2,100 45 (1) The server is dedicated to execution of this application; no additional applications are being executed. Question: Why is the server performance so poor? What can be done to improve the speed of the server?

  Read the article

• Enterprise Manager 12c: New DSS Demos Available

  - by Javier Puerta

  Enterprise Manager Cloud Control 12c Application Replay Demo Now Available! User Experience Monitoring with Enterprise Manager Cloud Control 12c and Real User Experience Insight 12R1 Now Available! Oracle Enterprise Manager Cloud Control 12c: Database Management Packs demo upgrade     Enterprise Manager Cloud Control 12c Application Replay Demo Now Available! We are pleased to announce the availability of the Oracle Application Replay demo that showcases some of the key capabilities of performing realistic, production scale testing of your web and packaged Oracle applications. This demo specifically focuses on capturing production web traffic from an E-Business Suite application and replaying the captured workload on a test E-Business Suite application to assess the impact of an application infrastructure change on the workload. The target audiences are application developers, quality assurance teams, IT managers and production control staff that deal in day-to-day change management activities and trouble shooting of production environments. Demo Highlights: Enterprise Manager 12c workflows for capturing application workload Seamless integration of Application Replay with Real User Experience Insight for application workload capture Enterprise Manager 12c centralized workflows for replaying captured application workloads in a test environment Demonstrates how to minimize risk when deploying a complex EBusiness Suite application infrastructure change. Rich reporting capability for performance analysis and problem detection User Experience Monitoring with Enterprise Manager Cloud Control 12c and Real User Experience Insight 12R1 Now Available! We are pleased to announce the availability of the Oracle Real User Experience Insight demo that showcases some of the key capabilities of user experience monitoring. This demo specifically focuses on business reporting, integrated performance diagnostics, tracking of customer journey’s through RUEI’s userflow tracking capabilities and it’s Key Performance Indicators tracking and configuration. Demo Highlights: Application-centric dashboard Integration with Oracle Enterprise Manager 12c – JVMD, ADP and BTM Session diagnostics and user session replay Monitoring through “Key Performance Indicators” (KPI) --- create alerts/incidents FUSION Application centric dashboards & integrated BI Oracle Enterprise Manager Cloud Control 12c: Database Management Packs demo upgrade DSS is pleased to announce an upgrade to the Oracle Enterprise Manager Cloud Control 12c: Database Management Packs demo. While retaining the content from the initial release of the demo—Diagnostic and Tuning Packs, Test Data Management and Data Masking, and Real Application Testing—the demo now includes a new Data Masking for Real Application Testing scenario. Demo Features: Diagnostic and Tuning Packs SQL Performance Analyzer Database Replay Data Masking Masking Real Application Testing workloads Testing pending Optimizer statistics Test Data Management

  Read the article

• Software Tuned to Humanity

  - by Phil Factor

  I learned a great deal from a cynical old programmer who once told me that the ideal length of time for a compiler to do its work was the same time it took to roll a cigarette. For development work, this is oh so true. After intently looking at the editing window for an hour or so, it was a relief to look up, stretch, focus the eyes on something else, and roll the possibly-metaphorical cigarette. This was software tuned to humanity. Likewise, a user’s perception of the “ideal” time that an application will take to move from frame to frame, to retrieve information, or to process their input has remained remarkably static for about thirty years, at around 200 ms. Anything else appears, and always has, to be either fast or slow. This could explain why commercial applications, unlike games, simulations and communications, aren’t noticeably faster now than they were when I started programming in the Seventies. Sure, they do a great deal more, but the SLAs that I negotiated in the 1980s for application performance are very similar to what they are nowadays. To prove to myself that this wasn’t just some rose-tinted misperception on my part, I cranked up a Z80-based Jonos CP/M machine (1985) in the roof-space. Within 20 seconds from cold, it had loaded Wordstar and I was ready to write. OK, I got it wrong: some things were faster 30 years ago. Sure, I’d now have had all sorts of animations, wizzy graphics, and other comforting features, but it seems a pity that we have used all that extra CPU and memory to increase the scope of what we develop, and the graphical prettiness, but not to speed the processes needed to complete a business procedure. Never mind the weight, the response time’s great! To achieve 200 ms response times on a Z80, or similar, performance considerations influenced everything one did as a developer. If it meant writing an entire application in assembly code, applying every smart algorithm, and shortcut imaginable to get the application to perform to spec, then so be it. As a result, I’m a dyed-in-the-wool performance freak and find it difficult to change my habits. Conversely, many developers now seem to feel quite differently. While all will acknowledge that performance is important, it’s no longer the virtue is once was, and other factors such as user-experience now take precedence. Am I wrong? If not, then perhaps we need a new school of development technique to rival Agile, dedicated once again to producing applications that smoke the rear wheels rather than pootle elegantly to the shops; that forgo skeuomorphism, cute animation, or architectural elegance in favor of the smell of hot rubber. I struggle to name an application I use that is truly notable for its blistering performance, and would dearly love one to do my everyday work – just as long as it doesn’t go faster than my brain.

  Read the article

• Are we queueing and serializing properly?

  - by insta

  We process messages through a variety of services (one message will touch probably 9 services before it's done, each doing a specific IO-related function). Right now we have a combination of the worst-case (XML data contract serialization) and best-case (in-memory MSMQ) for performance. The nature of the message means that our serialized data ends up about 12-15 kilobytes, and we process about 4 million messages per week. Persistent messages in MSMQ were too slow for us, and as the data grows we are feeling the pressure from MSMQ's memory-mapped files. The server is at 16GB of memory usage and growing, just for queueing. Performance also suffers when the memory usage is high, as the machine starts swapping. We're already doing the MSMQ self-cleanup behavior. I feel like there's a part we're doing wrong here. I tried using RavenDB to persist the messages and just queueing an identifier, but the performance there was very slow (1000 messages per minute, at best). I'm not sure if that's a result of using the development version or what, but we definitely need a higher throughput[1]. The concept worked very well in theory but performance was not up to the task. The usage pattern has one service acting as a router, which does all reads. The other services will attach information based on their 3rd party hook, and forward back to the router. Most objects are touched 9-12 times, although about 10% are forced to loop around in this system for awhile until the 3rd parties respond appropriately. The services right now account for this and have appropriate sleeping behaviors, as we utilize the priority field of the message for this reason. So, my question, is what is an ideal stack for message passing between discrete-but-LAN'ed machines in a C#/Windows environment? I would normally start with BinaryFormatter instead of XML serialization, but that's a rabbit hole if a better way is to offload serialization to a document store. Hence, my question. [1]: The nature of our business means the sooner we process messages, the more money we make. We've empirically proven that processing a message later in the week means we are less likely to make that money. While performance of "1000 per minute" sounds plenty fast, we really need that number upwards of 10k/minute. Just because I'm giving numbers in messages per week doesn't mean we have a whole week to process those messages.

  Read the article

• Selling Federal Enterprise Architecture (EA)

  - by TedMcLaughlan

  Selling Federal Enterprise Architecture A taxonomy of subject areas, from which to develop a prioritized marketing and communications plan to evangelize EA activities within and among US Federal Government organizations and constituents. Any and all feedback is appreciated, particularly in developing and extending this discussion as a tool for use – more information and details are also available. "Selling" the discipline of Enterprise Architecture (EA) in the Federal Government (particularly in non-DoD agencies) is difficult, notwithstanding the general availability and use of the Federal Enterprise Architecture Framework (FEAF) for some time now, and the relatively mature use of the reference models in the OMB Capital Planning and Investment (CPIC) cycles. EA in the Federal Government also tends to be a very esoteric and hard to decipher conversation – early apologies to those who agree to continue reading this somewhat lengthy article. Alignment to the FEAF and OMB compliance mandates is long underway across the Federal Departments and Agencies (and visible via tools like PortfolioStat and ITDashboard.gov – but there is still a gap between the top-down compliance directives and enablement programs, and the bottom-up awareness and effective use of EA for either IT investment management or actual mission effectiveness. "EA isn't getting deep enough penetration into programs, components, sub-agencies, etc.", verified a panelist at the most recent EA Government Conference in DC. Newer guidance from OMB may be especially difficult to handle, where bottom-up input can't be accurately aligned, analyzed and reported via standardized EA discipline at the Agency level – for example in addressing the new (for FY13) Exhibit 53D "Agency IT Reductions and Reinvestments" and the information required for "Cloud Computing Alternatives Evaluation" (supporting the new Exhibit 53C, "Agency Cloud Computing Portfolio"). Therefore, EA must be "sold" directly to the communities that matter, from a coordinated, proactive messaging perspective that takes BOTH the Program-level value drivers AND the broader Agency mission and IT maturity context into consideration. Selling EA means persuading others to take additional time and possibly assign additional resources, for a mix of direct and indirect benefits – many of which aren't likely to be realized in the short-term. This means there's probably little current, allocated budget to work with; ergo the challenge of trying to sell an "unfunded mandate". Also, the concept of "Enterprise" in large Departments like Homeland Security tends to cross all kinds of organizational boundaries – as Richard Spires recently indicated by commenting that "...organizational boundaries still trump functional similarities. Most people understand what we're trying to do internally, and at a high level they get it. The problem, of course, is when you get down to them and their system and the fact that you're going to be touching them...there's always that fear factor," Spires said. It is quite clear to the Federal IT Investment community that for EA to meet its objective, understandable, relevant value must be measured and reported using a repeatable method – as described by GAO's recent report "Enterprise Architecture Value Needs To Be Measured and Reported". What's not clear is the method or guidance to sell this value. In fact, the current GAO "Framework for Assessing and Improving Enterprise Architecture Management (Version 2.0)", a.k.a. the "EAMMF", does not include words like "sell", "persuade", "market", etc., except in reference ("within Core Element 19: Organization business owner and CXO representatives are actively engaged in architecture development") to a brief section in the CIO Council's 2001 "Practical Guide to Federal Enterprise Architecture", entitled "3.3.1. Develop an EA Marketing Strategy and Communications Plan." Furthermore, Core Element 19 of the EAMMF is advised to be applied in "Stage 3: Developing Initial EA Versions". This kind of EA sales campaign truly should start much earlier in the maturity progress, i.e. in Stages 0 or 1. So, what are the understandable, relevant benefits (or value) to sell, that can find an agreeable, participatory audience, and can pave the way towards success of a longer-term, funded set of EA mechanisms that can be methodically measured and reported? Pragmatic benefits from a useful EA that can help overcome the fear of change? And how should they be sold? Following is a brief taxonomy (it's a taxonomy, to help organize SME support) of benefit-related subjects that might make the most sense, in creating the messages and organizing an initial "engagement plan" for evangelizing EA "from within". An EA "Sales Taxonomy" of sorts. We're not boiling the ocean here; the subjects that are included are ones that currently appear to be urgently relevant to the current Federal IT Investment landscape. Note that successful dialogue in these topics is directly usable as input or guidance for actually developing early-stage, "Fit-for-Purpose" (a DoDAF term) Enterprise Architecture artifacts, as prescribed by common methods found in most EA methodologies, including FEAF, TOGAF, DoDAF and our own Oracle Enterprise Architecture Framework (OEAF). The taxonomy below is organized by (1) Target Community, (2) Benefit or Value, and (3) EA Program Facet - as in: "Let's talk to (1: Community Member) about how and why (3: EA Facet) the EA program can help with (2: Benefit/Value)". Once the initial discussion targets and subjects are approved (that can be measured and reported), a "marketing and communications plan" can be created. A working example follows the Taxonomy. Enterprise Architecture Sales Taxonomy Draft, Summary Version 1. Community 1.1. Budgeted Programs or Portfolios Communities of Purpose (CoPR) 1.1.1. Program/System Owners (Senior Execs) Creating or Executing Acquisition Plans 1.1.2. Program/System Owners Facing Strategic Change 1.1.2.1. Mandated 1.1.2.2. Expected/Anticipated 1.1.3. Program Managers - Creating Employee Performance Plans 1.1.4. CO/COTRs – Creating Contractor Performance Plans, or evaluating Value Engineering Change Proposals (VECP) 1.2. Governance & Communications Communities of Practice (CoP) 1.2.1. Policy Owners 1.2.1.1. OCFO 1.2.1.1.1. Budget/Procurement Office 1.2.1.1.2. Strategic Planning 1.2.1.2. OCIO 1.2.1.2.1. IT Management 1.2.1.2.2. IT Operations 1.2.1.2.3. Information Assurance (Cyber Security) 1.2.1.2.4. IT Innovation 1.2.1.3. Information-Sharing/ Process Collaboration (i.e. policies and procedures regarding Partners, Agreements) 1.2.2. Governing IT Council/SME Peers (i.e. an "Architects Council") 1.2.2.1. Enterprise Architects (assumes others exist; also assumes EA participants aren't buried solely within the CIO shop) 1.2.2.2. Domain, Enclave, Segment Architects – i.e. the right affinity group for a "shared services" EA structure (per the EAMMF), which may be classified as Federated, Segmented, Service-Oriented, or Extended 1.2.2.3. External Oversight/Constraints 1.2.2.3.1. GAO/OIG & Legal 1.2.2.3.2. Industry Standards 1.2.2.3.3. Official public notification, response 1.2.3. Mission Constituents Participant & Analyst Community of Interest (CoI) 1.2.3.1. Mission Operators/Users 1.2.3.2. Public Constituents 1.2.3.3. Industry Advisory Groups, Stakeholders 1.2.3.4. Media 2. Benefit/Value (Note the actual benefits may not be discretely attributable to EA alone; EA is a very collaborative, cross-cutting discipline.) 2.1. Program Costs – EA enables sound decisions regarding... 2.1.1. Cost Avoidance – a TCO theme 2.1.2. Sequencing – alignment of capability delivery 2.1.3. Budget Instability – a Federal reality 2.2. Investment Capital – EA illuminates new investment resources via... 2.2.1. Value Engineering – contractor-driven cost savings on existing budgets, direct or collateral 2.2.2. Reuse – reuse of investments between programs can result in savings, chargeback models; avoiding duplication 2.2.3. License Refactoring – IT license & support models may not reflect actual or intended usage 2.3. Contextual Knowledge – EA enables informed decisions by revealing... 2.3.1. Common Operating Picture (COP) – i.e. cross-program impacts and synergy, relative to context 2.3.2. Expertise & Skill – who truly should be involved in architectural decisions, both business and IT 2.3.3. Influence – the impact of politics and relationships can be examined 2.3.4. Disruptive Technologies – new technologies may reduce costs or mitigate risk in unanticipated ways 2.3.5. What-If Scenarios – can become much more refined, current, verifiable; basis for Target Architectures 2.4. Mission Performance – EA enables beneficial decision results regarding... 2.4.1. IT Performance and Optimization – towards 100% effective, available resource utilization 2.4.2. IT Stability – towards 100%, real-time uptime 2.4.3. Agility – responding to rapid changes in mission 2.4.4. Outcomes –measures of mission success, KPIs – vs. only "Outputs" 2.4.5. Constraints – appropriate response to constraints 2.4.6. Personnel Performance – better line-of-sight through performance plans to mission outcome 2.5. Mission Risk Mitigation – EA mitigates decision risks in terms of... 2.5.1. Compliance – all the right boxes are checked 2.5.2. Dependencies –cross-agency, segment, government 2.5.3. Transparency – risks, impact and resource utilization are illuminated quickly, comprehensively 2.5.4. Threats and Vulnerabilities – current, realistic awareness and profiles 2.5.5. Consequences – realization of risk can be mapped as a series of consequences, from earlier decisions or new decisions required for current issues 2.5.5.1. Unanticipated – illuminating signals of future or non-symmetric risk; helping to "future-proof" 2.5.5.2. Anticipated – discovering the level of impact that matters 3. EA Program Facet (What parts of the EA can and should be communicated, using business or mission terms?) 3.1. Architecture Models – the visual tools to be created and used 3.1.1. Operating Architecture – the Business Operating Model/Architecture elements of the EA truly drive all other elements, plus expose communication channels 3.1.2. Use Of – how can the EA models be used, and how are they populated, from a reasonable, pragmatic yet compliant perspective? What are the core/minimal models required? What's the relationship of these models, with existing system models? 3.1.3. Scope – what level of granularity within the models, and what level of abstraction across the models, is likely to be most effective and useful? 3.2. Traceability – the maturity, status, completeness of the tools 3.2.1. Status – what in fact is the degree of maturity across the integrated EA model and other relevant governance models, and who may already be benefiting from it? 3.2.2. Visibility – how does the EA visibly and effectively prove IT investment performance goals are being reached, with positive mission outcome? 3.3. Governance – what's the interaction, participation method; how are the tools used? 3.3.1. Contributions – how is the EA program informed, accept submissions, collect data? Who are the experts? 3.3.2. Review – how is the EA validated, against what criteria?  Taxonomy Usage Example:   1. To speak with: a. ...a particular set of System Owners Facing Strategic Change, via mandate (like the "Cloud First" mandate); about... b. ...how the EA program's visible and easily accessible Infrastructure Reference Model (i.e. "IRM" or "TRM"), if updated more completely with current system data, can... c. ...help shed light on ways to mitigate risks and avoid future costs associated with NOT leveraging potentially-available shared services across the enterprise... 2. ....the following Marketing & Communications (Sales) Plan can be constructed: a. Create an easy-to-read "Consequence Model" that illustrates how adoption of a cloud capability (like elastic operational storage) can enable rapid and durable compliance with the mandate – using EA traceability. Traceability might be from the IRM to the ARM (that identifies reusable services invoking the elastic storage), and then to the PRM with performance measures (such as % utilization of purchased storage allocation) included in the OMB Exhibits; and b. Schedule a meeting with the Program Owners, timed during their Acquisition Strategy meetings in response to the mandate, to use the "Consequence Model" for advising them to organize a rapid and relevant RFI solicitation for this cloud capability (regarding alternatives for sourcing elastic operational storage); and c. Schedule a series of short "Discovery" meetings with the system architecture leads (as agreed by the Program Owners), to further populate/validate the "As-Is" models and frame the "To Be" models (via scenarios), to better inform the RFI, obtain the best feedback from the vendor community, and provide potential value for and avoid impact to all other programs and systems. --end example -- Note that communications with the intended audience should take a page out of the standard "Search Engine Optimization" (SEO) playbook, using keywords and phrases relating to "value" and "outcome" vs. "compliance" and "output". Searches in email boxes, internal and external search engines for phrases like "cost avoidance strategies", "mission performance metrics" and "innovation funding" should yield messages and content from the EA team. This targeted, informed, practical sales approach should result in additional buy-in and participation, additional EA information contribution and model validation, development of more SMEs and quick "proof points" (with real-life testing) to bolster the case for EA. The proof point here is a successful, timely procurement that satisfies not only the external mandate and external oversight review, but also meets internal EA compliance/conformance goals and therefore is more transparently useful across the community. In short, if sold effectively, the EA will perform and be recognized. EA won’t therefore be used only for compliance, but also (according to a validated, stated purpose) to directly influence decisions and outcomes. The opinions, views and analysis expressed in this document are those of the author and do not necessarily reflect the views of Oracle.

  Read the article

• Add a small RAID card? Will it help overall stability and performance of my nine hard drives?

  - by Ray

  Hi, Will I get any extra genuine added performance and RAID stability if I insert a basic RAID card into a PCI-E x1 slot? I am considering the Adaptec 1220SA - 2 port SATA , pci-express (1x) , raid 0/1. Ok it only supports two SATA drives. Purpose is to help support the eight internal hard drives (1TB each), a DVD drive and an external e-SATA connected 2TB hard drive - by dealing with two of the internal hard drives. My current configuration of eight internal 1TB Barracuda (7200.12) SATA hard drives, one external 2TB SATA Western Digital Green Drive (e-SATA) and one DVD drive can already be supported by the Intel P55 & JMicron controllers on the ASUS motherboard : the Intel P55 (controls six HDD; configured as three x RAID 1), and the JMicron (controls two HDD as one RAID 1, as well as the DVD drive and the external SATA drive via the motherboard's e-SATA port (controlled by the JMicron)). Bigger picture details : I have an ASUS motherboard designed for the LGA1156 type processor and it includes the Intel P55 Express Chipset and JMicron. I am using the Intel Core i7-870 processor, and have 8GB DDR3 (1333) memory (four x 2GB Corsair DIMMs). Enough overall power. The power supply is more than sufficicient for the system. Corsair AX850. The system will never need the full 850 watts (future : second graphics card). The RAID card would provide hardware RAID 1 for two of the eight intrnal drives. It would either reduce the load on : the Intel P55 firmware RAID support, or replace the JMicron controller's RAID 1 set. I am busy installing the above configuration using Windows 7 Ultimate 64-bit as the OS. The RAID card is a last minute addition to the plan. Is it worth spending the extra R700 - R900 on the Adaptec 1220SA, or equivalent RAID card? I cannot afford to spend yet another R2000 - R3000 on a RAID card that would support many SATA2 hard drives, with a better RAID, example the RAID 5. My Issue & assumption : I am trusting that the Intel P55 chipset can properly handle six drives, configured as three * RAID 1. I am assuming that the JMicron can handle, using its RED SATA ports, one RAID-1 (two HDDs). The DVD drive connects to the JMicron optical SATA port 1 (white port 1). White port 2 is not used. The e-SATA connection is from the JMicron straight to, and through the motherboard - to an on-board (rear panel) e-SATA port. Am I being a little hopeful in only using the on-board Intel P55 and the JMicron? Is it a waste of money to install a RAID card that handles two SATA2 drives? OR Is it wisdom to take the pressure a little off the Intel P55? Obviously I am interested in data security, hence RAID 1, not RAID Zero. RAID 5 would be nice. The CPU, Intel Core i7-870 will provide the clout. Context to nine drives : I am using virtualisation with Windows 7 Ultimate. Bootable VMs. The operating system gets a mirror. Loaded apps gets a mirror. The current design data is kept in another mirror and Another mirror is back-up one and / or VM territory. Then the external 2TB drive (via e-SATA) is the next layer of data security and then finally, I use off-site data security. Thanks.

  Read the article

• WMI permissions: Select CommandLine, ProcessId FROM Win32_Process returns no data for CommandLine

  - by user57935

  Hi all, I am gathering performance data via WMI and would like to avoid having to use an account in the Administrators group for this purpose. The target machine is running Windows Server 2003 with the latest SP/updates. I've done what I believe to be the appropriate configuration to allow our user access to WMI (similar to what is described here: http://msdn.microsoft.com/en-us/library/aa393266.aspx). Here are the specific steps that were followed: Open Administrative Tools - Computer Management: Under Computer Management (Local) Expand Services and Applications, right click WMI Control and select properties. In the Security tab, expand Root, highlight CIMV2, click Security (near bottom of window); add Performance Monitor Users and enable the options : Enable Account and Remote Enable. ­Open Administrative Tools - Component Services: Under Console Root go to Component Services- Computers - Right click My Computer and select properties, select the COM security tab, in “Access Permissions” click "Edit Default" select(or add then select) “Performance Monitor Users” group and allow local access and remote access and click ok. In “Launch and Activation Permissions” click “Edit Default” select(or add then select) “Performance Monitor Users” group and allow Local and Remote Launch and Activation Permissions. ­Open Administrative Tools - Component Services: Under Console Root go to Component Services- Computers - My Computer - DCOM Config - highlight “Windows Management and Instrumentation” right click and select properties, Select the Security tab, Under “Launch and Activation Permissions” select Customize, then click edit, add the “Performance Users Group” and allow local and remote Remote Launch and Remote Activation privileges. I am able to connect remotely via WMI Explorer but when I perform this query: Select CommandLine, ProcessId FROM Win32_Process I get a valid result but every row has an empty CommandLine. If I add the user to the Administrators group and re-run the query, the CommandLine column contains the expected data. It seems there is a permission I am missing somewhere but I am not having much luck tracking it down. Many thanks in advance.

  Read the article

• WMI permissions: Select CommandLine, ProcessId FROM Win32_Process returns no data for CommandLine

  - by user57935

  I am gathering performance data via WMI and would like to avoid having to use an account in the Administrators group for this purpose. The target machine is running Windows Server 2003 with the latest SP/updates. I've done what I believe to be the appropriate configuration to allow our user access to WMI (similar to what is described here: http://msdn.microsoft.com/en-us/library/aa393266.aspx). Here are the specific steps that were followed: Open Administrative Tools - Computer Management: Under Computer Management (Local) Expand Services and Applications, right click WMI Control and select properties. In the Security tab, expand Root, highlight CIMV2, click Security (near bottom of window); add Performance Monitor Users and enable the options : Enable Account and Remote Enable. ­Open Administrative Tools - Component Services: Under Console Root go to Component Services- Computers - Right click My Computer and select properties, select the COM security tab, in “Access Permissions” click "Edit Default" select(or add then select) “Performance Monitor Users” group and allow local access and remote access and click ok. In “Launch and Activation Permissions” click “Edit Default” select(or add then select) “Performance Monitor Users” group and allow Local and Remote Launch and Activation Permissions. ­Open Administrative Tools - Component Services: Under Console Root go to Component Services- Computers - My Computer - DCOM Config - highlight “Windows Management and Instrumentation” right click and select properties, Select the Security tab, Under “Launch and Activation Permissions” select Customize, then click edit, add the “Performance Users Group” and allow local and remote Remote Launch and Remote Activation privileges. I am able to connect remotely via WMI Explorer but when I perform this query: Select CommandLine, ProcessId FROM Win32_Process I get a valid result but every row has an empty CommandLine. If I add the user to the Administrators group and re-run the query, the CommandLine column contains the expected data. It seems there is a permission I am missing somewhere but I am not having much luck tracking it down. Many thanks in advance.

  Read the article

• How to change cpufreq settings in Kubuntu

  - by Mr Woody

  I have been using Kubuntu, and I would like to change the cpufreq settings. My understanding is that there is no applet for that, and I would have to do it with a script. So I run a command like this: sudo cpufreq-set -g userspace -c 0 -d 800Mhz -u 1200Mhz and when I type cpufreq-info, I get cpufrequtils 007: cpufreq-info (C) Dominik Brodowski 2004-2009 Report errors and bugs to [email protected], please. analyzing CPU 0: driver: acpi-cpufreq CPUs which run at the same hardware frequency: 0 1 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: 10.0 us. hardware limits: 800 MHz - 2.50 GHz available frequency steps: 2.50 GHz, 2.50 GHz, 2.00 GHz, 1.60 GHz, 1.20 GHz, 800 MHz available cpufreq governors: conservative, ondemand, userspace, powersave, performance current policy: frequency should be within 800 MHz and 1.20 GHz. The governor "userspace" may decide which speed to use within this range. current CPU frequency is 1.20 GHz. cpufreq stats: 2.50 GHz:70.06%, 2.50 GHz:0.97%, 2.00 GHz:4.85%, 1.60 GHz:0.35%, 1.20 GHz:2.89%, 800 MHz:20.88% (193873) analyzing CPU 1: driver: acpi-cpufreq CPUs which run at the same hardware frequency: 0 1 CPUs which need to have their frequency coordinated by software: 1 maximum transition latency: 10.0 us. hardware limits: 800 MHz - 2.50 GHz available frequency steps: 2.50 GHz, 2.50 GHz, 2.00 GHz, 1.60 GHz, 1.20 GHz, 800 MHz available cpufreq governors: conservative, ondemand, userspace, powersave, performance current policy: frequency should be within 2.00 GHz and 2.00 GHz. The governor "performance" may decide which speed to use within this range. current CPU frequency is 2.00 GHz. cpufreq stats: 2.50 GHz:83.43%, 2.50 GHz:1.03%, 2.00 GHz:4.28%, 1.60 GHz:0.01%, 1.20 GHz:1.74%, 800 MHz:9.50% (3208) which shows that everything worked well (on cpu 0). The problem is that if I run cpufreq-info again after few minutes I get cpufrequtils 007: cpufreq-info (C) Dominik Brodowski 2004-2009 Report errors and bugs to [email protected], please. analyzing CPU 0: driver: acpi-cpufreq CPUs which run at the same hardware frequency: 0 1 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: 10.0 us. hardware limits: 800 MHz - 2.50 GHz available frequency steps: 2.50 GHz, 2.50 GHz, 2.00 GHz, 1.60 GHz, 1.20 GHz, 800 MHz available cpufreq governors: conservative, ondemand, userspace, powersave, performance current policy: frequency should be within 800 MHz and 800 MHz. The governor "performance" may decide which speed to use within this range. current CPU frequency is 800 MHz. cpufreq stats: 2.50 GHz:69.73%, 2.50 GHz:0.97%, 2.00 GHz:4.83%, 1.60 GHz:0.35%, 1.20 GHz:2.92%, 800 MHz:21.20% (193880) analyzing CPU 1: driver: acpi-cpufreq CPUs which run at the same hardware frequency: 0 1 CPUs which need to have their frequency coordinated by software: 1 maximum transition latency: 10.0 us. hardware limits: 800 MHz - 2.50 GHz available frequency steps: 2.50 GHz, 2.50 GHz, 2.00 GHz, 1.60 GHz, 1.20 GHz, 800 MHz available cpufreq governors: conservative, ondemand, userspace, powersave, performance current policy: frequency should be within 800 MHz and 800 MHz. The governor "performance" may decide which speed to use within this range. current CPU frequency is 800 MHz. cpufreq stats: 2.50 GHz:82.94%, 2.50 GHz:1.03%, 2.00 GHz:4.33%, 1.60 GHz:0.01%, 1.20 GHz:1.73%, 800 MHz:9.96% (3215) so it looks like some other process changed the settings. Does anyone know how to fix this? I also tried many different settings, but I get similar behavior.

  Read the article

• ubuntu hardrive repartition without uninstalling ubuntu or windows 7 and losing data of hardrive

  - by user141692

  I have and asus r500v with 750 gb gpt system uefi motherboard core i7 3610qm, nvidia geforce gt, with ubuntu and w7 dual boot, I had problems installing ubuntu because of the grub but I fix it with https://bugs.launchpad.net/ubuntu/+source/grub2/+bug/807801, but I still have the problem of "warning: the partition is misaligned by 3072 bytes. this may result iin very poor performance. Repartitioning is suggested" in every linux partitioin I made and my 750 gb is not being used at the maximun capacity it only uses 698 gb. I want to make partitions so that the warning doesnt show up and I can use the maximum capacity of the HDD, as I did with another dual boot laptop (compaq presario cq40). I have the following partitions: unknown 1.0Mb: partition type: lynux Basic DAta partition, device: /dev/sda2 Usage: --, Partition flags: --, partition label:-- warning: the partition is misaligned by 3072 bytes. this may result in very poor performance. repartitioning is suggested. -system 210 Mb FAt, usage: Filesystem, partition type: EFI system Partition, Partition Flags:--, Label: system, Device: /dev/sda1, partition label: EFI system partition, Capacity 210MB, avilable:--, Mount Point: mounted at /boot/efi -134 Mb NTFS, usage: filesystem, partition type: linux basic data partition, partition flags:.--, device: /dev/sda7, partition label: --, capacity: 134MB,available:--, mount point: not mounted -OS 250 GB NTFS, usage: file system, partititon type: linux basic data partition, partition flags: --, type: NTFS, label: OS, device: /dev/sda3, partition label: basic data partition, capacity: 250 GB, available:-, mount point: not mounted -10GB FAT 32, usage: filesystem, partition type: EFI system partition, partition flags:--, type: FAT 32, label: --, device: /dev/sda4, partition label: --, capacity: 10GB, available:--, mount point: not mounted warning: the partition is misaligned by 3072 bytes. this may result in very poor performance. repartitioning is suggested. -10gb ext 4, usage: file system, partition type: linux basic data partition, partition flags:--, type: EXT4(version1) label:--, device: /dev/sda9, partition label:--, capacity: 10 GB, available:--, mount point at / warning: the partition is misaligned by 1536 bytes. this may result in very poor performance. repartitioning is suggested. -478GB ext4, usage: filesystem, partition type: linux basic data partition, partition flags:--, type: EXT4, label:--, device: /dev/sda5, partition label:--, capacity: 478gb, available:--, mount point: mounted at /home warning: the partition is misaligned by 512 bytes. this may result in very poor performance. repartitioning is suggested. -2.0gb Swap 2.0Gb, usage: swap space, partition type: linux swap partitioin, partition flags:-, device: /dev/sda6, partition label: capacity: 2.0gb warning: the partition is misaligned by 512 bytes. this may result in very poor performance. repartitioning is suggested. and as you can see it is not well organized so please help me to organize the partitions witahout uninstalling the w7, and if possible the grub2

  Read the article

• Implications of using many USB web cameras

  - by Martin

  I'm looking into connecting multiple low resolution USB webcams to a single computer. What implications might this have on performance? How does, for example, four 320x240 cameras fare against a single 640x480 camera? I'm not well versed in the architecture of the USB interface, what are the performance caveats? By performance I mean how would it affect the time to read the image data from multiple cameras compared to a single one.

  Read the article

• How to get Windows Server 2008 VM to use multiple cores

  - by David Fraser

  I have a Windows Server 2008 machine running in VirtualBox. On initial installation, only one processor was made available, but now I want to run it as a multiprocessor machine. I have made all four cores available in the VirtualBox settings (as well as enabling VT-x/AMD-V and Nested Paging), but Task Manager still only shows one CPU. However, the four CPU cores are visible in Device Manager under Processors. In the event log on startup, I can see the following relevant events: EventLog.6009 Microsoft (R) Windows (R) 6.00.6002 Service Pack 2 Multiprocessor Free Kernel-Processor-Power.4 Processor 0 exposes the following: 1 idle state(s), 0 performance state(s), 0 throttle state(s) Kernel-Processor-Power.4 Processor 255 exposes the following: 0 idle state(s), 0 performance state(s), 0 throttle state(s) Kernel-Processor-Power.4 Processor 255 exposes the following: 0 idle state(s), 0 performance state(s), 0 throttle state(s) Kernel-Processor-Power.4 Processor 255 exposes the following: 0 idle state(s), 0 performance state(s), 0 throttle state(s) How can I make this system actually boot up as a multiprocessor machine?

  Read the article

• Will running a site in Integrated Mode (IIS7 application pool) perform better?

  - by Lieven Cardoen

  Will it affect performance?

  Read the article

• How to get Windows Server 2008 VM to use multiple cores

  - by David Fraser

  I have a Windows Server 2008 machine running in VirtualBox. On initial installation, only one processor was made available, but now I want to run it as a multiprocessor machine. I have made all four cores available in the VirtualBox settings (as well as enabling VT-x/AMD-V and Nested Paging), but Task Manager still only shows one CPU. However, the four CPU cores are visible in Device Manager under Processors. In the event log on startup, I can see the following relevant events: EventLog.6009 Microsoft (R) Windows (R) 6.00.6002 Service Pack 2 Multiprocessor Free Kernel-Processor-Power.4 Processor 0 exposes the following: 1 idle state(s), 0 performance state(s), 0 throttle state(s) Kernel-Processor-Power.4 Processor 255 exposes the following: 0 idle state(s), 0 performance state(s), 0 throttle state(s) Kernel-Processor-Power.4 Processor 255 exposes the following: 0 idle state(s), 0 performance state(s), 0 throttle state(s) Kernel-Processor-Power.4 Processor 255 exposes the following: 0 idle state(s), 0 performance state(s), 0 throttle state(s) How can I make this system actually boot up as a multiprocessor machine?

  Read the article

• Network speed between a VM and another machine which is not residing on the same host, is 11MB/s at most

  - by Henno

  Problem Network speed between a VM and another machine which is not residing on the same host, is 11MB/s at most. Topology Facts ESXi5 version is 5.0.0.504890 VM has the latest Vmware Tools installed VM is using E1000 network driver Physical box has Win Srv 2008 R2 as the OS CrystalDiskMark says the drive on physical box can read/write 100MB/s vCenter is another vm on esx both vm and physical box are showing 1Gbps link speed Configuration Networking shows vmnic0 as 1000 Full NTttcp is a client/server tool from Microsoft for measuring pure network throughput Here's what I've done so far: Test1: VM is running Filezilla FTP Server (default settings, one user account made) Physical box is running Filezilla FTP Client (default settings) Physical box is uploading a big file to FTP server Transfer speed (as observed by Windows Task Manager on both machines): ~11MB/s (bad) Physical box is downloading that file from FTP server Transfer speed (as observed by Windows Task Manager on both machines): still ~11MB/s (bad) Could it be disk performance issue? Test2: Physical box is running ntttcpr.exe -a 6 -m 6,0,VM_IP_ADDRESS VM is running ntttcps.exe -a 6 -m 6,0,PHY_BOX_IP_ADDRESS Transfer speed (as observed by Windows Task Manager on both machines): ~11MB/s (bad) Could it be switch performance issue? Test3: physical box is running vSphere Client I open Summary Storage datastore Browse Datastore... from physical box and upload a file to datastore Transfer speed (as observed by Windows Task Manager on physical box): ~26-36MB/s (good) Could it be a vm specific issue? Test4: Installed ntttcp to another vm on the same esx server Measured network performance between vms on the same esx server with NTttcp Transfer speed (as observed by Windows Task Manager on physical box): ~90-120MB/s (excellent :) Test5: I have another esx server on the same site, connecting to the same datastore and same switch. Those two ESX servers have both 2 NICs. One NIC goes to switch while the other goes directly to the other ESX server. vMotioned one of the testing vms off to the other ESX host Measured network performance between vms on different esx servers with NTttcp Transfer speed (as observed by Windows Task Manager on physical box): ~11MB/s (bad) While I'm aware of these: ESXi 4.1 slow file transfer ESXi 5 network performance is slow Debian Etch and ESXi slow network speeds VMWare ESXi slow file copy to guest they did not help (or I must have been missed something)

  Read the article

• Using MRTG's threshold feature to execute a php script

  - by Dan Fried

  I've set up mrtg using the online manual and the only online tutorial I found on the subject of thresholds, and the threshold just isn't firing. In my mrtg.cfg file, the relevant lines are ThreshDir: /path/to/mrtg/thresh ThreshMaxI[performance]: 1 ThreshMaxO[performance]: 1 ThreshProgI[performance]: /path/to/mrtg/scripts/alert.php ThreshProgO[performance]: /path/to/mrtg/scripts/alert.php The paths are right, because if I enter the paths wrong I get an error on executing mrtg. websitePerformance checks how long it takes to download the homepage, in milliseconds, so it should be exceeding the max every time. Alert.php is working fine when invoked directly from the shell, and when I point to a nonexistent script it tells me the script is not executable. No error messages are being generated, that I can find. The thresh directory is always empty. Why isn't the threshold being triggered by results that are greater than 1? Anyone have any suggestions?

  Read the article

• glusterfs mounts get unmounted when 1 of the 2 bricks goes offline

  - by Shiquemano

  I have an odd case where 1 of the 2 replicated glusterfs bricks will go offline and take all of the client mounts down with it. As I understand it, this should not be happening. It should fail over to the brick that is still online, but this hasn't been the case. I suspect that this is due to configuration issue. Here is a description of the system: 2 gluster servers on dedicated hardware (gfs0, gfs1) 8 client servers on vms (client1, client2, client3, ... , client8) Half of the client servers are mounted with gfs0 as the primary, and the other half are pointed at gfs1. Each of the clients are mounted with the following entry in /etc/fstab: /etc/glusterfs/datavol.vol /data glusterfs defaults 0 0 Here is the content of /etc/glusterfs/datavol.vol: volume datavol-client-0 type protocol/client option transport-type tcp option remote-subvolume /data/datavol option remote-host gfs0 end-volume volume datavol-client-1 type protocol/client option transport-type tcp option remote-subvolume /data/datavol option remote-host gfs1 end-volume volume datavol-replicate-0 type cluster/replicate subvolumes datavol-client-0 datavol-client-1 end-volume volume datavol-dht type cluster/distribute subvolumes datavol-replicate-0 end-volume volume datavol-write-behind type performance/write-behind subvolumes datavol-dht end-volume volume datavol-read-ahead type performance/read-ahead subvolumes datavol-write-behind end-volume volume datavol-io-cache type performance/io-cache subvolumes datavol-read-ahead end-volume volume datavol-quick-read type performance/quick-read subvolumes datavol-io-cache end-volume volume datavol-md-cache type performance/md-cache subvolumes datavol-quick-read end-volume volume datavol type debug/io-stats option count-fop-hits on option latency-measurement on subvolumes datavol-md-cache end-volume The config above is the latest attempt at making this behave properly. I have also tried the following entry in /etc/fstab: gfs0:/datavol /data glusterfs defaults,backupvolfile-server=gfs1 0 0 This was the entry for half of the clients, while the other half had: gfs1:/datavol /data glusterfs defaults,backupvolfile-server=gfs0 0 0 The results were exactly the same as the above configuration. Both configs connect everything just fine, they just don't fail over. Any help would be appreciated.

  Read the article

• Option Trading: Getting the most out of the event session options

  - by extended_events

  You can control different aspects of how an event session behaves by setting the event session options as part of the CREATE EVENT SESSION DDL. The default settings for the event session options are designed to handle most of the common event collection situations so I generally recommend that you just use the defaults. Like everything in the real world though, there are going to be a handful of “special cases” that require something different. This post focuses on identifying the special cases and the correct use of the options to accommodate those cases. There is a reason it’s called Default The default session options specify a total event buffer size of 4 MB with a 30 second latency. Translating this into human terms; this means that our default behavior is that the system will start processing events from the event buffer when we reach about 1.3 MB of events or after 30 seconds, which ever comes first. Aside: What’s up with the 1.3 MB, I thought you said the buffer was 4 MB?The Extended Events engine takes the total buffer size specified by MAX_MEMORY (4MB by default) and divides it into 3 equally sized buffers. This is done so that a session can be publishing events to one buffer while other buffers are being processed. There are always at least three buffers; how to get more than three is covered later. Using this configuration, the Extended Events engine can “keep up” with most event sessions on standard workloads. Why is this? The fact is that most events are small, really small; on the order of a couple hundred bytes. Even when you start considering events that carry dynamically sized data (eg. binary, text, etc.) or adding actions that collect additional data, the total size of the event is still likely to be pretty small. This means that each buffer can likely hold thousands of events before it has to be processed. When the event buffers are finally processed there is an economy of scale achieved since most targets support bulk processing of the events so they are processed at the buffer level rather than the individual event level. When all this is working together it’s more likely that a full buffer will be processed and put back into the ready queue before the remaining buffers (remember, there are at least three) are full. I know what you’re going to say: “My server is exceptional! My workload is so massive it defies categorization!” OK, maybe you weren’t going to say that exactly, but you were probably thinking it. The point is that there are situations that won’t be covered by the Default, but that’s a good place to start and this post assumes you’ve started there so that you have something to look at in order to determine if you do have a special case that needs different settings. So let’s get to the special cases… What event just fired?! How about now?! Now?! If you believe the commercial adage from Heinz Ketchup (Heinz Slow Good Ketchup ad on You Tube), some things are worth the wait. This is not a belief held by most DBAs, particularly DBAs who are looking for an answer to a troubleshooting question fast. If you’re one of these anxious DBAs, or maybe just a Program Manager doing a demo, then 30 seconds might be longer than you’re comfortable waiting. If you find yourself in this situation then consider changing the MAX_DISPATCH_LATENCY option for your event session. This option will force the event buffers to be processed based on your time schedule. This option only makes sense for the asynchronous targets since those are the ones where we allow events to build up in the event buffer – if you’re using one of the synchronous targets this option isn’t relevant. Avoid forgotten events by increasing your memory Have you ever had one of those days where you keep forgetting things? That can happen in Extended Events too; we call it dropped events. In order to optimizes for server performance and help ensure that the Extended Events doesn’t block the server if to drop events that can’t be published to a buffer because the buffer is full. You can determine if events are being dropped from a session by querying the dm_xe_sessions DMV and looking at the dropped_event_count field. Aside: Should you care if you’re dropping events?Maybe not – think about why you’re collecting data in the first place and whether you’re really going to miss a few dropped events. For example, if you’re collecting query duration stats over thousands of executions of a query it won’t make a huge difference to miss a couple executions. Use your best judgment. If you find that your session is dropping events it means that the event buffer is not large enough to handle the volume of events that are being published. There are two ways to address this problem. First, you could collect fewer events – examine you session to see if you are over collecting. Do you need all the actions you’ve specified? Could you apply a predicate to be more specific about when you fire the event? Assuming the session is defined correctly, the next option is to change the MAX_MEMORY option to a larger number. Picking the right event buffer size might take some trial and error, but a good place to start is with the number of dropped events compared to the number you’ve collected. Aside: There are three different behaviors for dropping events that you specify using the EVENT_RETENTION_MODE option. The default is to allow single event loss and you should stick with this setting since it is the best choice for keeping the impact on server performance low.You’ll be tempted to use the setting to not lose any events (NO_EVENT_LOSS) – resist this urge since it can result in blocking on the server. If you’re worried that you’re losing events you should be increasing your event buffer memory as described in this section. Some events are too big to fail A less common reason for dropping an event is when an event is so large that it can’t fit into the event buffer. Even though most events are going to be small, you might find a condition that occasionally generates a very large event. You can determine if your session is dropping large events by looking at the dm_xe_sessions DMV once again, this time check the largest_event_dropped_size. If this value is larger than the size of your event buffer [remember, the size of your event buffer, by default, is max_memory / 3] then you need a large event buffer. To specify a large event buffer you set the MAX_EVENT_SIZE option to a value large enough to fit the largest event dropped based on data from the DMV. When you set this option the Extended Events engine will create two buffers of this size to accommodate these large events. As an added bonus (no extra charge) the large event buffer will also be used to store normal events in the cases where the normal event buffers are all full and waiting to be processed. (Note: This is just a side-effect, not the intended use. If you’re dropping many normal events then you should increase your normal event buffer size.) Partitioning: moving your events to a sub-division Earlier I alluded to the fact that you can configure your event session to use more than the standard three event buffers – this is called partitioning and is controlled by the MEMORY_PARTITION_MODE option. The result of setting this option is fairly easy to explain, but knowing when to use it is a bit more art than science. First the science… You can configure partitioning in three ways: None, Per NUMA Node & Per CPU. This specifies the location where sets of event buffers are created with fairly obvious implication. There are rules we follow for sub-dividing the total memory (specified by MAX_MEMORY) between all the event buffers that are specific to the mode used: None: 3 buffers (fixed)Node: 3 * number_of_nodesCPU: 2.5 * number_of_cpus Here are some examples of what this means for different Node/CPU counts: Configuration None Node CPU 2 CPUs, 1 Node 3 buffers 3 buffers 5 buffers 6 CPUs, 2 Node 3 buffers 6 buffers 15 buffers 40 CPUs, 5 Nodes 3 buffers 15 buffers 100 buffers   Aside: Buffer size on multi-processor computersAs the number of Nodes or CPUs increases, the size of the event buffer gets smaller because the total memory is sub-divided into more pieces. The defaults will hold up to this for a while since each buffer set is holding events only from the Node or CPU that it is associated with, but at some point the buffers will get too small and you’ll either see events being dropped or you’ll get an error when you create your session because you’re below the minimum buffer size. Increase the MAX_MEMORY setting to an appropriate number for the configuration. The most likely reason to start partitioning is going to be related to performance. If you notice that running an event session is impacting the performance of your server beyond a reasonably expected level [Yes, there is a reasonably expected level of work required to collect events.] then partitioning might be an answer. Before you partition you might want to check a few other things: Is your event retention set to NO_EVENT_LOSS and causing blocking? (I told you not to do this.) Consider changing your event loss mode or increasing memory. Are you over collecting and causing more work than necessary? Consider adding predicates to events or removing unnecessary events and actions from your session. Are you writing the file target to the same slow disk that you use for TempDB and your other high activity databases? <kidding> <not really> It’s always worth considering the end to end picture – if you’re writing events to a file you can be impacted by I/O, network; all the usual stuff. Assuming you’ve ruled out the obvious (and not so obvious) issues, there are performance conditions that will be addressed by partitioning. For example, it’s possible to have a successful event session (eg. no dropped events) but still see a performance impact because you have many CPUs all attempting to write to the same free buffer and having to wait in line to finish their work. This is a case where partitioning would relieve the contention between the different CPUs and likely reduce the performance impact cause by the event session. There is no DMV you can check to find these conditions – sorry – that’s where the art comes in. This is  largely a matter of experimentation. On the bright side you probably won’t need to to worry about this level of detail all that often. The performance impact of Extended Events is significantly lower than what you may be used to with SQL Trace. You will likely only care about the impact if you are trying to set up a long running event session that will be part of your everyday workload – sessions used for short term troubleshooting will likely fall into the “reasonably expected impact” category. Hey buddy – I think you forgot something OK, there are two options I didn’t cover: STARTUP_STATE & TRACK_CAUSALITY. If you want your event sessions to start automatically when the server starts, set the STARTUP_STATE option to ON. (Now there is only one option I didn’t cover.) I’m going to leave causality for another post since it’s not really related to session behavior, it’s more about event analysis. - Mike Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

  Read the article

• Consolidating and Virtualizing with Oracle&rsquo;s Network Fabric

  - by Ferhat Hatay

  Server, storage and operating system virtualization technologies are already widely  deployed within datacenters, and are considered an integral component to drive cost  savings and agility. These technologies are now being combined with network  virtualization to usher in a new era of cloud computing. Oracle provides a networking fabric that delivers cloud-ready network services based on  Ethernet or InfiniBand fabrics that are tightly integrated with application infrastructure. Oracle’s network fabric provides the performance and manageability required for any  Oracle application environment or private cloud infrastructure. Logical architecture of Oracle’s network fabric. Oracle’s unique ability to deliver extreme performance and scale by tightly integrating  network services across application infrastructure is demonstrated in the Oracle Exalogic  Elastic Cloud and the Oracle Exadata Database Machine. These engineered solutions  offer up to 5X and 10X performance gains respectively compared to traditional multivendor architectures where the offerings are not engineered to work together. By integrating advanced networking capabilities across the entire hardware and software  stack, Oracle’s network fabric can help maximize application performance and scale,  reduce the number of network components, and simplify datacenter operations through  integrated network management and orchestration. The resulting business benefits are: Reduced acquisition costs Lower power and cooling costs Reduced management costs Faster deployment Greater agility in meeting changing business needs For more information see the whitepaper: Consolidating and Virtualizing Datacenter Networks with Oracle's Network Fabric.

  Read the article

• Option Trading: Getting the most out of the event session options

  - by extended_events

  You can control different aspects of how an event session behaves by setting the event session options as part of the CREATE EVENT SESSION DDL. The default settings for the event session options are designed to handle most of the common event collection situations so I generally recommend that you just use the defaults. Like everything in the real world though, there are going to be a handful of “special cases” that require something different. This post focuses on identifying the special cases and the correct use of the options to accommodate those cases. There is a reason it’s called Default The default session options specify a total event buffer size of 4 MB with a 30 second latency. Translating this into human terms; this means that our default behavior is that the system will start processing events from the event buffer when we reach about 1.3 MB of events or after 30 seconds, which ever comes first. Aside: What’s up with the 1.3 MB, I thought you said the buffer was 4 MB?The Extended Events engine takes the total buffer size specified by MAX_MEMORY (4MB by default) and divides it into 3 equally sized buffers. This is done so that a session can be publishing events to one buffer while other buffers are being processed. There are always at least three buffers; how to get more than three is covered later. Using this configuration, the Extended Events engine can “keep up” with most event sessions on standard workloads. Why is this? The fact is that most events are small, really small; on the order of a couple hundred bytes. Even when you start considering events that carry dynamically sized data (eg. binary, text, etc.) or adding actions that collect additional data, the total size of the event is still likely to be pretty small. This means that each buffer can likely hold thousands of events before it has to be processed. When the event buffers are finally processed there is an economy of scale achieved since most targets support bulk processing of the events so they are processed at the buffer level rather than the individual event level. When all this is working together it’s more likely that a full buffer will be processed and put back into the ready queue before the remaining buffers (remember, there are at least three) are full. I know what you’re going to say: “My server is exceptional! My workload is so massive it defies categorization!” OK, maybe you weren’t going to say that exactly, but you were probably thinking it. The point is that there are situations that won’t be covered by the Default, but that’s a good place to start and this post assumes you’ve started there so that you have something to look at in order to determine if you do have a special case that needs different settings. So let’s get to the special cases… What event just fired?! How about now?! Now?! If you believe the commercial adage from Heinz Ketchup (Heinz Slow Good Ketchup ad on You Tube), some things are worth the wait. This is not a belief held by most DBAs, particularly DBAs who are looking for an answer to a troubleshooting question fast. If you’re one of these anxious DBAs, or maybe just a Program Manager doing a demo, then 30 seconds might be longer than you’re comfortable waiting. If you find yourself in this situation then consider changing the MAX_DISPATCH_LATENCY option for your event session. This option will force the event buffers to be processed based on your time schedule. This option only makes sense for the asynchronous targets since those are the ones where we allow events to build up in the event buffer – if you’re using one of the synchronous targets this option isn’t relevant. Avoid forgotten events by increasing your memory Have you ever had one of those days where you keep forgetting things? That can happen in Extended Events too; we call it dropped events. In order to optimizes for server performance and help ensure that the Extended Events doesn’t block the server if to drop events that can’t be published to a buffer because the buffer is full. You can determine if events are being dropped from a session by querying the dm_xe_sessions DMV and looking at the dropped_event_count field. Aside: Should you care if you’re dropping events?Maybe not – think about why you’re collecting data in the first place and whether you’re really going to miss a few dropped events. For example, if you’re collecting query duration stats over thousands of executions of a query it won’t make a huge difference to miss a couple executions. Use your best judgment. If you find that your session is dropping events it means that the event buffer is not large enough to handle the volume of events that are being published. There are two ways to address this problem. First, you could collect fewer events – examine you session to see if you are over collecting. Do you need all the actions you’ve specified? Could you apply a predicate to be more specific about when you fire the event? Assuming the session is defined correctly, the next option is to change the MAX_MEMORY option to a larger number. Picking the right event buffer size might take some trial and error, but a good place to start is with the number of dropped events compared to the number you’ve collected. Aside: There are three different behaviors for dropping events that you specify using the EVENT_RETENTION_MODE option. The default is to allow single event loss and you should stick with this setting since it is the best choice for keeping the impact on server performance low.You’ll be tempted to use the setting to not lose any events (NO_EVENT_LOSS) – resist this urge since it can result in blocking on the server. If you’re worried that you’re losing events you should be increasing your event buffer memory as described in this section. Some events are too big to fail A less common reason for dropping an event is when an event is so large that it can’t fit into the event buffer. Even though most events are going to be small, you might find a condition that occasionally generates a very large event. You can determine if your session is dropping large events by looking at the dm_xe_sessions DMV once again, this time check the largest_event_dropped_size. If this value is larger than the size of your event buffer [remember, the size of your event buffer, by default, is max_memory / 3] then you need a large event buffer. To specify a large event buffer you set the MAX_EVENT_SIZE option to a value large enough to fit the largest event dropped based on data from the DMV. When you set this option the Extended Events engine will create two buffers of this size to accommodate these large events. As an added bonus (no extra charge) the large event buffer will also be used to store normal events in the cases where the normal event buffers are all full and waiting to be processed. (Note: This is just a side-effect, not the intended use. If you’re dropping many normal events then you should increase your normal event buffer size.) Partitioning: moving your events to a sub-division Earlier I alluded to the fact that you can configure your event session to use more than the standard three event buffers – this is called partitioning and is controlled by the MEMORY_PARTITION_MODE option. The result of setting this option is fairly easy to explain, but knowing when to use it is a bit more art than science. First the science… You can configure partitioning in three ways: None, Per NUMA Node & Per CPU. This specifies the location where sets of event buffers are created with fairly obvious implication. There are rules we follow for sub-dividing the total memory (specified by MAX_MEMORY) between all the event buffers that are specific to the mode used: None: 3 buffers (fixed)Node: 3 * number_of_nodesCPU: 2.5 * number_of_cpus Here are some examples of what this means for different Node/CPU counts: Configuration None Node CPU 2 CPUs, 1 Node 3 buffers 3 buffers 5 buffers 6 CPUs, 2 Node 3 buffers 6 buffers 15 buffers 40 CPUs, 5 Nodes 3 buffers 15 buffers 100 buffers   Aside: Buffer size on multi-processor computersAs the number of Nodes or CPUs increases, the size of the event buffer gets smaller because the total memory is sub-divided into more pieces. The defaults will hold up to this for a while since each buffer set is holding events only from the Node or CPU that it is associated with, but at some point the buffers will get too small and you’ll either see events being dropped or you’ll get an error when you create your session because you’re below the minimum buffer size. Increase the MAX_MEMORY setting to an appropriate number for the configuration. The most likely reason to start partitioning is going to be related to performance. If you notice that running an event session is impacting the performance of your server beyond a reasonably expected level [Yes, there is a reasonably expected level of work required to collect events.] then partitioning might be an answer. Before you partition you might want to check a few other things: Is your event retention set to NO_EVENT_LOSS and causing blocking? (I told you not to do this.) Consider changing your event loss mode or increasing memory. Are you over collecting and causing more work than necessary? Consider adding predicates to events or removing unnecessary events and actions from your session. Are you writing the file target to the same slow disk that you use for TempDB and your other high activity databases? <kidding> <not really> It’s always worth considering the end to end picture – if you’re writing events to a file you can be impacted by I/O, network; all the usual stuff. Assuming you’ve ruled out the obvious (and not so obvious) issues, there are performance conditions that will be addressed by partitioning. For example, it’s possible to have a successful event session (eg. no dropped events) but still see a performance impact because you have many CPUs all attempting to write to the same free buffer and having to wait in line to finish their work. This is a case where partitioning would relieve the contention between the different CPUs and likely reduce the performance impact cause by the event session. There is no DMV you can check to find these conditions – sorry – that’s where the art comes in. This is  largely a matter of experimentation. On the bright side you probably won’t need to to worry about this level of detail all that often. The performance impact of Extended Events is significantly lower than what you may be used to with SQL Trace. You will likely only care about the impact if you are trying to set up a long running event session that will be part of your everyday workload – sessions used for short term troubleshooting will likely fall into the “reasonably expected impact” category. Hey buddy – I think you forgot something OK, there are two options I didn’t cover: STARTUP_STATE & TRACK_CAUSALITY. If you want your event sessions to start automatically when the server starts, set the STARTUP_STATE option to ON. (Now there is only one option I didn’t cover.) I’m going to leave causality for another post since it’s not really related to session behavior, it’s more about event analysis. - Mike Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

  Read the article

• The Social Business Thought Leaders - John Hagel

  - by kellsey.ruppel

  While many European economies are on the brink of a recession between increasing taxation and mounting loss of jobs and bankruptcy filing rates, there's an understandable risk of losing sight of the deeper forces at play. Yet instead of surrendering to uncertainty and trying to survive in the short term, many organizations are feeling the urge to be better prepared to thrive in these complex times by developing a more articulated long term understanding of both the opportunities / challenges ahead. For example: What long-term economic, technological and societal changes are rolling out? Which foundational dynamics will affect our companies' performance, productivity, competition, and innovative potential in the upcoming decades? How will digital infrastructure change our business landscape? What kind of capabilities will be key to compete in a market shaped by growing turbulence, unpredictability and volatility? Breaking out from a strictly cyclical thinking, studies such as the Shift Index by John Hagel, Co-Chairman of the Center for the Edge at Deloitte & Touche (See Measuring the forces of long-term change - The 2009 Shift Index), depict a worrying performance challenge that affected every industry in the entire US economy over the last 45 years. Amidst a more than doubled competitive intensity of the market, and even with an improved labor productivity, the actual performance of US firms has consistently fallen to 25% of what it was in 1965. Most of this reported value is shifting from institutions and organizations to individuals, whether they are customers or young creative talent. To thrive in the digital economy and reverse declining performance trends, companies will have to fundamentally rethink their management approach by moving from knowledge stocks to knowledge flows, from scalable efficiency to scalable learning, from push organizations to pull organizations. Based on the outcomes of the Shift Index and on the book The Power of Pull, the first episode of the Social Business Thought-Leaders features John Hagel to provide strategic insights on how companies will succeed in the 21st century.

  Read the article

< Previous Page | 183 184 185 186 187 188 189 190 191 192 193 194  | Next Page >