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  • Announcing General Availability of the E-Business Suite Plug-in

    - by Kenneth E.
    Oracle E-Business Suite Application Technology Group (ATG) is pleased to announce the General Availability of Oracle E-Business Suite Plug-in 12.1.0.1.0, an integral part of Application Management Suite for Oracle E-Business Suite.The combination of Enterprise Manager 12c Cloud Control and the Application Management Suite combines functionality that was available in the standalone Application Management Pack for Oracle E-Business Suite and Application Change Management Pack for Oracle E-Business Suite with Oracle’s Real User Experience Insight product and the Configuration & Compliance capabilities to provide the most complete solution for managing Oracle E-Business Suite applications. The features that were available in the standalone management packs are now packaged into the Oracle E-Business Suite Plug-in, which is now fully certified with Oracle Enterprise Manager 12c Cloud Control. This latest plug-in extends Cloud Control with E-Business Suite specific system management capabilities and features enhanced change management support.Here is all the information you need to get started:EBS Plug-in 12.1.0.1.0 info -Full Announcement•    E-Business Suite Plug-in 12.1.0.1 for Enterprise Manager 12c Now Available MOS -•    Getting Started with Oracle E-Business Suite Plug-in, Release 12.1.0.1.0 (Doc ID 1434392.1)Documentation -•    Oracle Application Management Pack for Oracle E-Business Suite Guide, Release 12.1.0.1.0Certification•    Platforms and OS Release certification information is available from My Oracle Support via the Certification page. •    Search using the official trademark name Oracle Application Management Pack for Oracle E-Business Suite and Release 12.1.0.1.0

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  • Reference Data Management and Master Data: Are Relation ?

    - by Mala Narasimharajan
    Submitted By:  Rahul Kamath  Oracle Data Relationship Management (DRM) has always been extremely powerful as an Enterprise Master Data Management (MDM) solution that can help manage changes to master data in a way that influences enterprise structure, whether it be mastering chart of accounts to enable financial transformation, or revamping organization structures to drive business transformation and operational efficiencies, or restructuring sales territories to enable equitable distribution of leads to sales teams following the acquisition of new products, or adding additional cost centers to enable fine grain control over expenses. Increasingly, DRM is also being utilized by Oracle customers for reference data management, an emerging solution space that deserves some explanation. What is reference data? How does it relate to Master Data? Reference data is a close cousin of master data. While master data is challenged with problems of unique identification, may be more rapidly changing, requires consensus building across stakeholders and lends structure to business transactions, reference data is simpler, more slowly changing, but has semantic content that is used to categorize or group other information assets – including master data – and gives them contextual value. In fact, the creation of a new master data element may require new reference data to be created. For example, when a European company acquires a US business, chances are that they will now need to adapt their product line taxonomy to include a new category to describe the newly acquired US product line. Further, the cross-border transaction will also result in a revised geo hierarchy. The addition of new products represents changes to master data while changes to product categories and geo hierarchy are examples of reference data changes.1 The following table contains an illustrative list of examples of reference data by type. Reference data types may include types and codes, business taxonomies, complex relationships & cross-domain mappings or standards. Types & Codes Taxonomies Relationships / Mappings Standards Transaction Codes Industry Classification Categories and Codes, e.g., North America Industry Classification System (NAICS) Product / Segment; Product / Geo Calendars (e.g., Gregorian, Fiscal, Manufacturing, Retail, ISO8601) Lookup Tables (e.g., Gender, Marital Status, etc.) Product Categories City à State à Postal Codes Currency Codes (e.g., ISO) Status Codes Sales Territories (e.g., Geo, Industry Verticals, Named Accounts, Federal/State/Local/Defense) Customer / Market Segment; Business Unit / Channel Country Codes (e.g., ISO 3166, UN) Role Codes Market Segments Country Codes / Currency Codes / Financial Accounts Date/Time, Time Zones (e.g., ISO 8601) Domain Values Universal Standard Products and Services Classification (UNSPSC), eCl@ss International Classification of Diseases (ICD) e.g., ICD9 à IC10 mappings Tax Rates Why manage reference data? Reference data carries contextual value and meaning and therefore its use can drive business logic that helps execute a business process, create a desired application behavior or provide meaningful segmentation to analyze transaction data. Further, mapping reference data often requires human judgment. Sample Use Cases of Reference Data Management Healthcare: Diagnostic Codes The reference data challenges in the healthcare industry offer a case in point. Part of being HIPAA compliant requires medical practitioners to transition diagnosis codes from ICD-9 to ICD-10, a medical coding scheme used to classify diseases, signs and symptoms, causes, etc. The transition to ICD-10 has a significant impact on business processes, procedures, contracts, and IT systems. Since both code sets ICD-9 and ICD-10 offer diagnosis codes of very different levels of granularity, human judgment is required to map ICD-9 codes to ICD-10. The process requires collaboration and consensus building among stakeholders much in the same way as does master data management. Moreover, to build reports to understand utilization, frequency and quality of diagnoses, medical practitioners may need to “cross-walk” mappings -- either forward to ICD-10 or backwards to ICD-9 depending upon the reporting time horizon. Spend Management: Product, Service & Supplier Codes Similarly, as an enterprise looks to rationalize suppliers and leverage their spend, conforming supplier codes, as well as product and service codes requires supporting multiple classification schemes that may include industry standards (e.g., UNSPSC, eCl@ss) or enterprise taxonomies. Aberdeen Group estimates that 90% of companies rely on spreadsheets and manual reviews to aggregate, classify and analyze spend data, and that data management activities account for 12-15% of the sourcing cycle and consume 30-50% of a commodity manager’s time. Creating a common map across the extended enterprise to rationalize codes across procurement, accounts payable, general ledger, credit card, procurement card (P-card) as well as ACH and bank systems can cut sourcing costs, improve compliance, lower inventory stock, and free up talent to focus on value added tasks. Change Management: Point of Sales Transaction Codes and Product Codes In the specialty finance industry, enterprises are confronted with usury laws – governed at the state and local level – that regulate financial product innovation as it relates to consumer loans, check cashing and pawn lending. To comply, it is important to demonstrate that transactions booked at the point of sale are posted against valid product codes that were on offer at the time of booking the sale. Since new products are being released at a steady stream, it is important to ensure timely and accurate mapping of point-of-sale transaction codes with the appropriate product and GL codes to comply with the changing regulations. Multi-National Companies: Industry Classification Schemes As companies grow and expand across geographies, a typical challenge they encounter with reference data represents reconciling various versions of industry classification schemes in use across nations. While the United States, Mexico and Canada conform to the North American Industry Classification System (NAICS) standard, European Union countries choose different variants of the NACE industry classification scheme. Multi-national companies must manage the individual national NACE schemes and reconcile the differences across countries. Enterprises must invest in a reference data change management application to address the challenge of distributing reference data changes to downstream applications and assess which applications were impacted by a given change. References 1 Master Data versus Reference Data, Malcolm Chisholm, April 1, 2006.

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  • How to decide on going into management?

    - by Rob Wells
    I read the transcript of a speech by Richard Hamming included as a part of this SO question and the speech had a quote that got me thinking about when someone should move into development. When your vision of what you want to do is what you can do single-handedly, then you should pursue it. The day your vision, what you think needs to be done, is bigger than what you can do single-handedly, then you have to move toward management. And the bigger the vision is, the farther in management you have to go. Any other suggestions as to how you can decide if you want to move away from the coal face and into management?

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  • Five Key Strategies in Master Data Management

    - by david.butler(at)oracle.com
    Here is a very interesting Profit Magazine article on MDM: A recent customer survey reveals the deleterious effects of data fragmentation. by Trevor Naidoo, December 2010   Across industries and geographies, IT organizations have grown in complexity, whether due to mergers and acquisitions, or decentralized systems supporting functional or departmental requirements. With systems architected over time to support unique, one-off process needs, they are becoming costly to maintain, and the Internet has only further added to the complexity. Data fragmentation has become a key inhibitor in delivering flexible, user-friendly systems. The Oracle Insight team conducted a survey assessing customers' master data management (MDM) capabilities over the past two years to get a sense of where they are in terms of their capabilities. The responses, by 27 respondents from six different industries, reveal five key areas in which customers need to improve their data management in order to get better financial results. 1. Less than 15 percent of organizations surveyed understand the sources and quality of their master data, and have a roadmap to address missing data domains. Examples of the types of master data domains referred to are customer, supplier, product, financial and site. Many organizations have multiple sources of master data with varying degrees of data quality in each source -- customer data stored in the customer relationship management system is inconsistent with customer data stored in the order management system. Imagine not knowing how many places you stored your customer information, and whether a customer's address was the most up to date in each source. In fact, more than 55 percent of the respondents in the survey manage their data quality on an ad-hoc basis. It is important for organizations to document their inventory of data sources and then profile these data sources to ensure that there is a consistent definition of key data entities throughout the organization. Some questions to ask are: How do we define a customer? What is a product? How do we define a site? The goal is to strive for one common repository for master data that acts as a cross reference for all other sources and ensures consistent, high-quality master data throughout the organization. 2. Only 18 percent of respondents have an enterprise data management strategy to ensure that data is treated as an asset to the organization. Most respondents handle data at the department or functional level and do not have an enterprise view of their master data. The sales department may track all their interactions with customers as they move through the sales cycle, the service department is tracking their interactions with the same customers independently, and the finance department also has a different perspective on the same customer. The salesperson may not be aware that the customer she is trying to sell to is experiencing issues with existing products purchased, or that the customer is behind on previous invoices. The lack of a data strategy makes it difficult for business users to turn data into information via reports. Without the key building blocks in place, it is difficult to create key linkages between customer, product, site, supplier and financial data. These linkages make it possible to understand patterns. A well-defined data management strategy is aligned to the business strategy and helps create the governance needed to ensure that data stewardship is in place and data integrity is intact. 3. Almost 60 percent of respondents have no strategy to integrate data across operational applications. Many respondents have several disparate sources of data with no strategy to keep them in sync with each other. Even though there is no clear strategy to integrate the data (see #2 above), the data needs to be synced and cross-referenced to keep the business processes running. About 55 percent of respondents said they perform this integration on an ad hoc basis, and in many cases, it is done manually with the help of Microsoft Excel spreadsheets. For example, a salesperson needs a report on global sales for a specific product, but the product has different product numbers in different countries. Typically, an analyst will pull all the data into Excel, manually create a cross reference for that product, and then aggregate the sales. The exact same procedure has to be followed if the same report is needed the following month. A well-defined consolidation strategy will ensure that a central cross-reference is maintained with updates in any one application being propagated to all the other systems, so that data is synchronized and up to date. This can be done in real time or in batch mode using integration technology. 4. Approximately 50 percent of respondents spend manual efforts cleansing and normalizing data. Information stored in various systems usually follows different standards and formats, making it difficult to match the data. A customer's address can be stored in different ways using a variety of abbreviations -- for example, "av" or "ave" for avenue. Similarly, a product's attributes can be stored in a number of different ways; for example, a size attribute can be stored in inches and can also be entered as "'' ". These types of variations make it difficult to match up data from different sources. Today, most customers rely on manual, heroic efforts to match, cleanse, and de-duplicate data -- clearly not a scalable, sustainable model. To solve this challenge, organizations need the ability to standardize data for customers, products, sites, suppliers and financial accounts; however, less than 10 percent of respondents have technology in place to automatically resolve duplicates. It is no wonder, therefore, that we get communications about products we don't own, at addresses we don't reside, and using channels (like direct mail) we don't like. An all-too-common example of a potential challenge follows: Customers end up receiving duplicate communications, which not only impacts customer satisfaction, but also incurs additional mailing costs. Cleansing, normalizing, and standardizing data will help address most of these issues. 5. Only 10 percent of respondents have the ability to share data that was mastered in a master data hub. Close to 60 percent of respondents have efforts in place that profile, standardize and cleanse data manually, and the output of these efforts are stored in spreadsheets in various parts of the organization. This valuable information is not easily shared with the rest of the organization and, more importantly, this enriched information cannot be sent back to the source systems so that the data is fixed at the source. A key benefit of a master data management strategy is not only to clean the data, but to also share the data back to the source systems as well as other systems that need the information. Aside from the source systems, another key beneficiary of this data is the business intelligence system. Having clean master data as input to business intelligence systems provides more accurate and enhanced reporting.  Characteristics of Stellar MDM When deciding on the right master data management technology, organizations should look for solutions that have four main characteristics: enterprise-grade MDM performance complete technology that can be rapidly deployed and addresses multiple business issues end-to-end MDM process management with data quality monitoring and assurance pre-built MDM business relevant applications with data stores and workflows These master data management capabilities will aid in moving closer to a best-practice maturity level, delivering tremendous efficiencies and savings as well as revenue growth opportunities as a result of better understanding your customers.  Trevor Naidoo is a senior director in Industry Strategy and Insight at Oracle. 

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  • Wierd Results A/B Test in Google Website Optimizer

    - by Yisroel
    I set up a test in Google Website Optimizer that has a 3 variations - original (A), B, and C. In order to further validate the results of the test, I added a variation C that is exactly the same as the original. And thats where the results get weird. 6 days in to the test, the best performing variation is C. It outperforms the original by 18.4%! How is that possible? Do I now discount the results of this test entirely?

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  • Wierd Results A/B Test in Google Website Optimizer

    - by Yisroel
    I set up a test in Google Website Optimizer that has a 3 variations - original (A), B, and C. In order to further validate the results of the test, I added a variation C that is exactly the same as the original. And thats where the results get weird. 6 days in to the test, the best performing variation is C. It outperforms the original by 18.4%! How is that possible? Do I now discount the results of this test entirely?

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  • Weird Results A/B Test in Google Website Optimizer

    - by Yisroel
    I set up a test in Google Website Optimizer that has a 3 variations - original (A), B, and C. In order to further validate the results of the test, I added a variation C that is exactly the same as the original. And thats where the results get weird. 6 days into the test, the best performing variation is C. It outperforms the original by 18.4%! How is that possible? Do I now discount the results of this test entirely?

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  • How to test controllers with CodeIgniter PART 2?

    - by Jeff
    I am having difficulties testing Controllers in Codeigniter: I use Toast but when I invoke my Home Controller class I get an exception that "db" is not defined. Has anybody an idea how to test this 1-1? Thanks class Home_tests extends Toast { function __construct() { parent::__construct(__FILE__); // Load any models, libraries etc. you need here } function test_select_user() { $controller = new Home(); $controller->getDbUser('[email protected]','password'); assert($query->num_rows() == 0 ); } }

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  • create an english test

    - by thienthai
    hi everyone, i want to create an english test software using window form and C# something like bellow: Hi David, Thanks for your e-mail. I hope things get easier for you before the weekend. You’ve been (be) really busy this week! 1 _______ (you / make) your vacation plans yet? Last May, I 2 _________(go) to Japan with my family again. We 3 _______ (be) there three times now! But this time, we 4 _______ (not stay) with my aunt in Tokyo. Instead, we 5 ______(drive) around to different places. Then in July, my friend Angie and I 6 ________ (travel) to Peru. 7 _______ (you / ever / be) there? It’s one of the most interesting places I 8 _______ (ever / visit). The ruins of Machu Picchu are amazing. Write soon! Mariko how can i display it in window form that we can fill the brackets (____) directly everyone help me thanks.

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  • Black box test cases for insertion procedure

    - by AJ
    insertion_procedure (int a[], int p [], int N) { int i,j,k; for (i=0; i<=N; i++) p[i] = i; for (i=2; i<=N; i++) { k = p[i]; j = 1; while (a[p[j-1]] > a[k]) {p[j] = p[j-1]; j--} p[j] = k; } } What would be few good test cases for this particular insertion procedure?

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  • Timeout Considerations for Solicit Response – Part 2

    - by Michael Stephenson
    To follow up a previous article about timeouts and how they can affect your application I have extended the sample we were using to include WCF. I will execute some test scenarios and discuss the results. The sample We begin by consuming exactly the same web service which is sitting on a remote server. This time I have created a .net 3.5 application which will consume the web service using the basichttp binding. To show you the configuration for the consumption of this web service please refer to the below diagram. You can see like before we also have the connectionManagement element in the configuration file. I have added a WCF service reference (also using the asynchronous proxy methods) and have the below code sample in the application which will asynchronously make the web service calls and handle the responses on a call back method invoked by a delegate. If you have read the previous article you will notice that the code is almost the same.   Sample 1 – WCF with Default Timeouts In this test I set about recreating the same scenario as previous where we would run the test but this time using WCF as the messaging component. For the first test I would use the default configuration settings which WCF had setup when we added a reference to the web service. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:01:00"   The Test We simulated 21 calls to the web service Test Results The client-side trace is as follows:   The server-side trace is as follows: Some observations on the results are as follows: The timeouts happened quicker than in the previous tests because some calls were timing out before they attempted to connect to the server The first few calls that timed out did actually connect to the server and did execute successfully on the server   Test 2 – Increase Open Connection Timeout & Send Timeout In this test I wanted to increase both the send and open timeout values to try and give everything a chance to go through. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:10:00" receiveTimeout="00:10:00" sendTimeout="00:10:00"   The Test We simulated 21 calls to the web service   Test Results The client side trace for this test was   The server-side trace for this test was: Some observations on this test are: This test proved if the timeouts are high enough everything will just go through   Test 3 – Increase just the Send Timeout In this test we wanted to increase just the send timeout. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:10:00"   The Test We simulated 21 calls to the web service   Test Results The below is the client side trace The below is the server side trace Some observations on this test are: In this test from both the client and server perspective everything ran through fine The open connection timeout did not seem to have any effect   Test 4 – Increase Just the Open Connection Timeout In this test I wanted to validate the change to the open connection setting by increasing just this on its own. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:10:00" receiveTimeout="00:10:00" sendTimeout="00:01:00"   The Test We simulated 21 calls to the web service Test Results The client side trace was The server side trace was Some observations on this test are: In this test you can see that the open connection which relates to opening the channel timeout increase was not the thing which stopped the calls timing out It's the send of data which is timing out On the server you can see that the successful few calls were fine but there were also a few calls which hit the server but timed out on the client You can see that not all calls hit the server which was one of the problems with the WSE and ASMX options   Test 5 – Smaller Increase in Send Timeout In this test I wanted to make a smaller increase to the send timeout than previous just to prove that it was the key setting which was controlling what was timing out. The timeout values for this test are: openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:02:30"   The Test We simulated 21 calls to the web service Test Results The client side trace was   The server side trace was Some observations on this test are: You can see that most of the calls got through fine On the client you can see that call 20 timed out but still hit the server and executed fine.   Summary At this point between the two articles we have quite a lot of scenarios showing the different way the timeout setting have played into our original performance issue, and now we can see how WCF could offer an improved way to handle the problem. To summarise the differences in the timeout properties for the three technology stacks: ASMX The timeout value only applies to the execution time of your request on the server. The timeout does not consider how long your code might be waiting client side to get a connection. WSE The timeout value includes both the time to obtain a connection and also the time to execute the request. A timeout will not be thrown as an error until an attempt to connect to the server is made. This means a 40 second timeout setting may not throw the error until 60 seconds when the connection to the server is made. If the connection to the server is made you should be aware that your message will be processed and you should design for this. WCF The WCF send timeout is the setting most equivalent to the settings we were looking at previously. Like WSE this setting the counter includes the time to get a connection as well as the time to execute on a server. Unlike WSE and ASMX an error will be thrown as soon as the send timeout from making your call from user code has elapsed regardless of whether we are waiting for a connection or have an open connection to the server. This may to a user appear to have better latency in getting an error response compared to WSE or ASMX.

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  • Visual Studio Load Testing using Windows Azure

    - by Tarun Arora
    In my opinion the biggest adoption barrier in performance testing on smaller projects is not the tooling but the high infrastructure and administration cost that comes with this phase of testing. Only if a reusable solution was possible and infrastructure management wasn’t as expensive, adoption would certainly spike. It certainly is possible if you bring Visual Studio and Windows Azure into the equation. It is possible to run your test rig in the cloud without getting tangled in SCVMM or Lab Management. All you need is an active Azure subscription, Windows Azure endpoint enabled developer workstation running visual studio ultimate on premise, windows azure endpoint enabled worker roles on azure compute instances set up to run as test controllers and test agents. My test rig is running SQL server 2012 and Visual Studio 2012 RC agents. The beauty is that the solution is reusable, you can open the azure project, change the subscription and certificate, click publish and *BOOM* in less than 15 minutes you could have your own test rig running in the cloud. In this blog post I intend to show you how you can use the power of Windows Azure to effectively abstract the administration cost of infrastructure management and lower the total cost of Load & Performance Testing. As a bonus, I will share a reusable solution that you can use to automate test rig creation for both VS 2010 agents as well as VS 2012 agents. Introduction The slide show below should help you under the high level details of what we are trying to achive... Leveraging Azure for Performance Testing View more PowerPoint from Avanade Scenario 1 – Running a Test Rig in Windows Azure To start off with the basics, in the first scenario I plan to discuss how to, - Automate deployment & configuration of Windows Azure Worker Roles for Test Controller and Test Agent - Automate deployment & configuration of SQL database on Test Controller on the Test Controller Worker Role - Scaling Test Agents on demand - Creating a Web Performance Test and a simple Load Test - Managing Test Controllers right from Visual Studio on Premise Developer Workstation - Viewing results of the Load Test - Cleaning up - Have the above work in the shape of a reusable solution for both VS2010 and VS2012 Test Rig Scenario 2 – The scaled out Test Rig and sharing data using SQL Azure A scaled out version of this implementation would involve running multiple test rigs running in the cloud, in this scenario I will show you how to sync the load test database from these distributed test rigs into one SQL Azure database using Azure sync. The selling point for this scenario is being able to collate the load test efforts from across the organization into one data store. - Deploy multiple test rigs using the reusable solution from scenario 1 - Set up and configure Windows Azure Sync - Test SQL Azure Load Test result database created as a result of Windows Azure Sync - Cleaning up - Have the above work in the shape of a reusable solution for both VS2010 and VS2012 Test Rig The Ingredients Though with an active MSDN ultimate subscription you would already have access to everything and more, you will essentially need the below to try out the scenarios, 1. Windows Azure Subscription 2. Windows Azure Storage – Blob Storage 3. Windows Azure Compute – Worker Role 4. SQL Azure Database 5. SQL Data Sync 6. Windows Azure Connect – End points 7. SQL 2012 Express or SQL 2008 R2 Express 8. Visual Studio All Agents 2012 or Visual Studio All Agents 2010 9. A developer workstation set up with Visual Studio 2012 – Ultimate or Visual Studio 2010 – Ultimate 10. Visual Studio Load Test Unlimited Virtual User Pack. Walkthrough To set up the test rig in the cloud, the test controller, test agent and SQL express installers need to be available when the worker role set up starts, the easiest and most efficient way is to pre upload the required software into Windows Azure Blob storage. SQL express, test controller and test agent expose various switches which we can take advantage of including the quiet install switch. Once all the 3 have been installed the test controller needs to be registered with the test agents and the SQL database needs to be associated to the test controller. By enabling Windows Azure connect on the machines in the cloud and the developer workstation on premise we successfully create a virtual network amongst the machines enabling 2 way communication. All of the above can be done programmatically, let’s see step by step how… Scenario 1 Video Walkthrough–Leveraging Windows Azure for performance Testing Scenario 2 Work in progress, watch this space for more… Solution If you are still reading and are interested in the solution, drop me an email with your windows live id. I’ll add you to my TFS preview project which has a re-usable solution for both VS 2010 and VS 2012 test rigs as well as guidance and demo performance tests.   Conclusion Other posts and resources available here. Possibilities…. Endless!

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  • Tokyo Tyrant ulog / update log management.

    - by Nathan Milford
    I'm testing Tokyo Tyrant in a master-master setup and have found the ulog grows out of control and locks up the disk. At first I found the -ulim option useful and limited the logfile size, however it simply rolls over to a new log, leaving the old ones to clutter up the partition. I suppose I'll write a shell script that will delete ulogs older than X, once I find out how far back Tokyo Tyrant needs in the update log in order to failover. Does anyone have any experience with this Tokyo Tyrant? Do you have a feel (acknowledging that every install is different based on what is being stored) for the optimal ulog size vs how far back a Tokyo Tyrant instance needs to look in the ulog to assume master status? Thanks, nathan

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  • SNMP based network discovery (switches), device (ports on switches) power management

    - by SaM
    In a enterprise network, what would be the right way to generate a list of switches (SNMP managed) Is it reasonable to ask the organization to supply a list such as this: Switch name IP Address of switch Location SNMP community strings Or are there standard ways to run discovery scans - UDP broadcasts? After having generated a repository such as the above; given a single switch, how to query it for the list of all devices attached to it? Finally, how to selectively power down/power up ports? (remotely - using SNMP) Platform is going to be .NET based (C#) and the library being used is SharpSNMP

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  • Network Management Cable Labeling Techniques and their alternatives [closed]

    - by Alex
    Possible Duplicate: What is the most effective solution you used to label cables? Yes i know there are a lot of howtos and already answered questions about this topic, like this one: How do you organise the cables in your racks? Currently i am searching the web for different techniques (alternatives) for labeling the cables at the server racks and/or data centers. Unfortunately i do not have any experience with labeling/documentation of network cables in a large scale. As far as I could lookup by now the current labeling techniques are coloring and a self defined print-labeling technique (numbering, text) maybe also according to a standard which are usually used. I want to know if QR, RFID (ok RFID in a data center would be stupid due to the radio frequency wouldn't it be?), Barcodes or similar (??) have already been used by some administrators or why they did not consider such techniques at all? Too complicated (with QR scanner etc..) if you are in front of the cables and want to get quick feedback for what the cable is? What alternatives are out there? Advantages/Disadvantages? Best-Practice? I would appreciate any help on this topic, thank you! Regards, Alex

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  • Digital Asset Management, iPhoto / Aperture server... alternative

    - by Sisyphus
    Afternoon, Clients, 10 : All Apples running either Leopard or Snow Leopard Server : Snow Leopard server, (and I have a old Dell Poweredge 650 at home running Gentoo 2.6, if anybody as a Linux solution). The situation: I work in small design company with 8 people, at present we are looking to consolidate all our image files onto one location, at present we each use our preferred single user DAM solution, be it, Adobe Bridge, iPhoto/Aperture (some don't bother at all) The filetypes commonly used are .psd, .pdf, .eps, .tiff, .jpg and RAW image files. Ideally what is needed: Centralised on one server, but allows us to search via spotlight (not essential, but would be nice) Include searchable metadata information such as date, location, title Open-source or as low cost as possibly Allow simultaneous users to import files So far, I have looked at a few open source DAM, systems, such as Razuna, Gallery (not strictly DAM), ResourceSpace, Notre-DAM, while these are brilliant and open-source, they don't integrate as smoothly with the Desktop as iPhoto and aperture. For iPhoto and aperture, I have tried creating a Shared library on the server (a tad laggy), and also using a drive with no permissions, put a library and letting each client read from it, however if they want to put images onto the library only, it's only supports one user at a time writing to the library... Any ideas what could fulfill our needs? Or is it time to bite the bullet for FinalCut Server? Thanks in advance.

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  • Change Management Software

    - by Andrew
    I manage an 80,000 user CIS application written in Uniface. Every form in the application, and many of its processes, are represented by .frm files. We have hundreds of these files and 5 instances of the application. Instances include multiple production installations which must be kept sync'd. We do not get MD5 from our vendor for files that are released to us as patches. We have been using a spreadsheet to track changes, but this is far from ideal. Is there a commercial application that can be purchased that will allow us to track changes to the instances? Thank you all! EDIT: Patches are released as zip files with either FRM files in them or SQL files or a mix of both. SQL files will contain statements that need to be run in Oracle. Patches are also assigned unique patch numbers.

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  • Managing a test iSCSI target server

    - by dyasny
    Hi all, I am using a RHEL server with a few hard drives, and tgtd as the iscsi target software. I a looking for a way to allocate and deallocate space and targets with that space, without restarting my system, or harming other LUNs. Currently, all my HDDs are PVs in a single VG, and I lvcreate/lvremove as required, and then export the allocated LVs using a tgt script: usr/sbin/tgtadm --lld iscsi --op new --mode target --tid=1 --targetname iqn.2001-04.com.lab.gss:300gb /usr/sbin/tgtadm --lld iscsi --op new --mode logicalunit --tid 1 --lun 1 -b /dev/mapper/iscsi_vg-iscsi_300Gb /usr/sbin/tgtadm --lld iscsi --op bind --mode target --tid 1 -I ALL /usr/sbin/tgtadm --lld iscsi --op new --mode target --tid=2 --targetname iqn.2001-04.com.lab.gss:200gb /usr/sbin/tgtadm --lld iscsi --op new --mode logicalunit --tid 2 --lun 1 -b /dev/mapper/iscsi_vg-iscsi_200Gb /usr/sbin/tgtadm --lld iscsi --op bind --mode target --tid 2 -I ALL /usr/sbin/tgtadm --lld iscsi --op new --mode target --tid=3 --targetname iqn.2001-04.com.lab.gss:100gb /usr/sbin/tgtadm --lld iscsi --op new --mode logicalunit --tid 3 --lun 1 -b /dev/mapper/iscsi_vg-iscsi_100Gb /usr/sbin/tgtadm --lld iscsi --op bind --mode target --tid 3 -I ALL tgtadm --mode target --op show So in order to remove a LUN, I stop the tgtd service, lvremove the lv, and remove the entry from the iscsi target script When I add a lun, I run lvcreate, and then add an entry to the script and run it. This is not quite optimal, since restarting the service is a bad idea while other LUNs are busy, so I am looking for a more scalable and safer way. Thanks

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  • Unix Password Management Keyring

    - by Phil
    I am looking for a password manager for a command-line Unix environment. So far all I can find are keyring applications for Windows, Linux, and Mac. But no command-line Unix interfaces. My main goal is to be able to access a password keyring through an SSH connection to a machine that has no graphical user interface. If there are no good unix password keyrings out there, what would be a better way to store personal passwords in a central location?

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