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  • Which version management design methodology to be used in a Dependent System nodes?

    - by actiononmail
    This is my first question so please indicate if my question is too vague and not understandable. My question is more related to High Level Design. We have a system (specifically an ATCA Chassis) configured in a Star Topology, having Master Node (MN) and other sub-ordinate nodes(SN). All nodes are connected via Ethernet and shall run on Linux OS with other proprietary applications. I have to build a recovery Framework Design so that any software entity, whether its Linux, Ramdisk or application can be rollback to previous good versions if something bad happens. Thus I think of maintaining a State Version Matrix over MN, where each State(1,2....n) represents Good Kernel, Ramdisk and application versions for each SN. It may happen that one SN version can dependent on other SN's version. Please see following diagram:- So I am in dilemma whether to use Package Management Methodology used by Debian Distributions (Like Ubuntu) or GIT repository methodology; in order to do a Rollback to previous good versions on either one SN or on all the dependent SNs. The method should also be easier for upgrading SNs along with MNs. Some of the features which I am trying to achieve:- 1) Upgrade of even single software entity is achievable without hindering others. 2) Dependency checks must be done before applying rollback or upgrade on each of the SN 3) User Prompt should be given in case dependency fails.If User still go for rollback, all the SNs should get notification to rollback there own releases (if required). 4) The binaries should be distributed on SNs accordingly so that recovery process is faster; rather fetching every time from MN. 5) Release Patches from developer for bug fixes, feature enhancement can be applied on running system. 6) Each version can be easily tracked and distinguishable. Thanks

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  • How do I prevent a tar pipe from causing swapping?

    - by Jeff Shattock
    I have a rather large filesystem that I need to transfer from one Linux server to another. I figured the best way to do this was via a tar/netcat pipe arrangment, something like tar c . | pv | nc blah blah blah And it works great, the network stays fairly saturated, life is good. Until the source machine starts swapping. The files are on a raid on the source system, so the read speed is much faster than the write speed on the other end. Since the dest machine hasnt picked up the data yet, the source machine needs to stick it somewhere, so into RAM it goes, until there is no more free RAM. It then starts swapping, which is horribly painful since that machine has its OS installed on a somewhat slow CF card. Both machines have 4GB of physical ram, 64 bit Ubuntu 9.04 server. GigE link between them. How do I prevent this swapping? Can I put a "speed-limit" on the tar or netcat process so that the transfer speed doesn't overwhelm the write throughput on the destination end? The man pages didn't list anything, but there might be something I'm overlooking.

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  • Using Hidden Markov Model for designing AI mp3 player

    - by Casper Slynge
    Hey guys. Im working on an assignment, where I want to design an AI for a mp3 player. The AI must be trained and designed with the use of a HMM method. The mp3 player shall have the functionality of adapting to its user, by analyzing incoming biological sensor data, and from this data the mp3 player will choose a genre for the next song. Given in the assignment is 14 samples of data: One sample consist of Heart Rate, Respiration, Skin Conductivity, Activity and finally the output genre. Below is the 14 samples of data, just for you to get an impression of what im talking about. Sample HR RSP SC Activity Genre S1 Medium Low High Low Rock S2 High Low Medium High Rock S3 High High Medium Low Classic S4 High Medium Low Medium Classic S5 Medium Medium Low Low Classic S6 Medium Low High High Rock S7 Medium High Medium Low Classic S8 High Medium High Low Rock S9 High High Low Low Classic S10 Medium Medium Medium Low Classic S11 Medium Medium High High Rock S12 Low Medium Medium High Classic S13 Medium High Low Low Classic S14 High Low Medium High Rock My time of work regarding HMM is quite low, so my question to you is if I got the right angle on the assignment. I have three different states for each sensor: Low, Medium, High. Two observations/output symbols: Rock, Classic In my own opinion I see my start probabilities as the weightened factors for either a Low, Medium or High state in the Heart Rate. So the ideal solution for the AI is that it will learn these 14 sets of samples. And when a users sensor input is received, the AI will compare the combination of states for all four sensors, with the already memorized samples. If there exist a matching combination, the AI will choose the genre, and if not it will choose a genre according to the weightened transition probabilities, while simultaniously updating the transition probabilities with the new data. Is this a right approach to take, or am I missing something ? Is there another way to determine the output probability (read about Maximum likelihood estimation by EM, but dont understand the concept)? Best regards, Casper

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  • SQL SERVER – Integrate Your Data with Skyvia – Cloud ETL Solution

    - by Pinal Dave
    In our days data integration often becomes a key aspect of business success. For business analysts it’s very important to get integrated data from various sources, such as relational databases, cloud CRMs, etc. to make correct and successful decisions. There are various data integration solutions on market, and today I will tell about one of them – Skyvia. Skyvia is a cloud data integration service, which allows integrating data in cloud CRMs and different relational databases. It is a completely online solution and does not require anything except for a browser. Skyvia provides powerful etl tools for data import, export, replication, and synchronization for SQL Server and other databases and cloud CRMs. You can use Skyvia data import tools to load data from various sources to SQL Server (and SQL Azure). Skyvia supports such cloud CRMs as Salesforce and Microsoft Dynamics CRM and such databases as MySQL and PostgreSQL. You even can migrate data from SQL Server to SQL Server, or from SQL Server to other databases and cloud CRMs. Additionally Skyvia supports import of CSV files, either uploaded manually or stored on cloud file storage services, such as Dropbox, Box, Google Drive, or FTP servers. When data import is not enough, Skyvia offers bidirectional data synchronization. With this tool, you can synchronize SQL Server data with other databases and cloud CRMs. After performing the first synchronization, Skyvia tracks data changes in the synchronized data storages. In SQL Server databases (and other relational databases) it creates additional tracking tables and triggers. This allows synchronizing only the changed data. Skyvia also maps records by their primary key values to each other, so it does not require different sources to have the same primary key structure. It still can match the corresponding records without having to add any additional columns or changing data structure. The only requirement for synchronization is that primary keys must be autogenerated. With Skyvia it’s not necessary for data to have the same structure in integrated data storages. Skyvia supports powerful mapping mechanisms that allow synchronizing data with completely different structure. It provides support for complex mathematical and string expressions when mapping data, using lookups, etc. You may use data splitting – loading data from a single CSV file or source table to multiple related target tables. Or you may load data from several source CSV files or tables to several related target tables. In each case Skyvia preserves data relations. It builds corresponding relations between the target data automatically. When you often work with cloud CRM data, native CRM data reporting and analysis tools may be not enough for you. And there is a vast set of professional data analysis and reporting tools available for SQL Server. With Skyvia you can quickly copy your cloud CRM data to an SQL Server database and apply corresponding SQL Server tools to the data. In such case you can use Skyvia data replication tools. It allows you to quickly copy cloud CRM data to SQL Server or other databases without customizing any mapping. You need just to specify columns to copy data from. Target database tables will be created automatically. Skyvia offers powerful filtering settings to replicate only the records you need. Skyvia also provides capability to export data from SQL Server (including SQL Azure) and other databases and cloud CRMs to CSV files. These files can be either downloadable manually or loaded to cloud file storages or FTP server. You can use export, for example, to backup SQL Azure data to Dropbox. Any data integration operation can be scheduled for automatic execution. Thus, you can automate your SQL Azure data backup or data synchronization – just configure it once, then schedule it, and benefit from automatic data integration with Skyvia. Currently registration and using Skyvia is completely free, so you can try it yourself and find out whether its data migration and integration tools suits for you. Visit this link to register on Skyvia: https://app.skyvia.com/register Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Cloud Computing

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  • Nginx php-fpm high cpu usage

    - by Piotr Kaluza
    I have a problem with a high traffic wordpress, super high CPU load under nginx php-fpm, I am caching with apc, and memcached, spent 2-3 days tweaking configs and looking for answers it seems to me that php-fpm takes up all the cpu available no matter how many max_children i set if i set 5 then the load is 20% each, if i set 20 then the load adds up till 90% i tried static and dynamic server is 2x3.0Ghz 6GB Ram SSD in raid 10 on ubuntu 12.04 x64 utpime: 17:27:51 up 2:19, 1 user, load average: 29.79, 28.08, 26.29 what can be the issue?

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  • Computing Number of Bits in Public Key

    - by eb80
    I am working with DKIM and trying to compute the public key size of some DKIM signatures. I know from tools that Gmail's is now 2048, but how could I have figured this out myself (i.e., what exact Linux commands and why)? user@host$ dig txt 20120113._domainkey.gmail.com ; <<>> DiG 9.8.3-P1 <<>> txt 20120113._domainkey.gmail.com ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 52228 ;; flags: qr rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;20120113._domainkey.gmail.com. IN TXT ;; ANSWER SECTION: 20120113._domainkey.gmail.com. 300 IN TXT "k=rsa\; p=MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA1Kd87/UeJjenpabgbFwh+eBCsSTrqmwIYYvywlbhbqoo2DymndFkbjOVIPIldNs/m40KF+yzMn1skyoxcTUGCQs8g3FgD2Ap3ZB5DekAo5wMmk4wimDO+U8QzI3SD0" "7y2+07wlNWwIt8svnxgdxGkVbbhzY8i+RQ9DpSVpPbF7ykQxtKXkv/ahW3KjViiAH+ghvvIhkx4xYSIc9oSwVmAl5OctMEeWUwg8Istjqz8BZeTWbf41fbNhte7Y+YqZOwq1Sd0DbvYAD9NOZK9vlfuac0598HY+vtSBczUiKERHv1yRbcaQtZFh5wtiRrN04BLUTD21MycBX5jYchHjPY/wIDAQAB" ;; Query time: 262 msec ;; SERVER: 8.8.8.8#53(8.8.8.8) ;; WHEN: Mon Nov 19 10:52:06 2012 ;; MSG SIZE rcvd: 462

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  • SQLS Timeouts - High Reads in Profiler

    - by lb01
    I've audited a SQLS2008 server with Profiler for one day.. the overhead didn't seem to trouble this new client my company has. They are using a legacy VB6 application as a front-end. They're experiencing timeouts once SQLS RAM usage is high. The server is currently running x64 sqls2008 on a VM with nearly 9 GB of RAM. SQL Server's 'max server memory option' is currently set to 6GB. I've put the results of the trace in a table and queried them using this query. SELECT TextData, ApplicationName, Reads FROM [TraceWednesday] WHERE textdata is not null and EventClass = 12 GROUP BY TextData, ApplicationName, Reads ORDER BY Reads DESC As I expected, some values are very high. Top Reads, in pages. 2504188 1965910 1445636 1252433 1239108 1210153 1088580 1072725 Am I correct in thinking that the top one (2504188 pages) is 20033504 KB, which then is roughly ~20'000 MB, 20GB? These queries are often executed and can take quite some time to run. Eventually RAM is used up because of the cache fattening, and timeouts occur once SQL cannot 'splash' pages in the buffer pool as much. Costs go up. Am I correct in my understanding? I've read that I should tune the associated T-SQL and create appropriate indices. Obviously cutting down the I/O would make SQL Server use less RAM. OR, maybe it might just slow down the process of chewing up the whole RAM. If a lot less pages are read, maybe it'll all run much better even when usage is high? (less time swapping, etc.) Currently, our only option is to restart SQL once a week when RAM usage is high, suddenly the timeouts disappear. SQL breathes again. I'm sure lots of DBAs have been in this situation.. I'm asking before I start digging out all of the bad T-SQL and put indices here and there, is there is something else I can do? Any advice except from what I know (not much yet..) Much appreciated. Leo.

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  • SQLS Timeouts - High Reads in Profiler

    - by lb01
    Hi I've audited a SQLS2008 server with Profiler for one day.. the overhead didn't seem to trouble this new client my company has. They are using a legacy VB6 application as a front-end. They're experiencing timeouts once SQLS RAM usage is high. The server is currently running x64 sqls2008 on a VM with nearly 9 GB of RAM. SQL Server's 'max server memory option' is currently set to 6GB. I've put the results of the trace in a table and queried them using this query. SELECT TextData, ApplicationName, Reads FROM [TraceWednesday] WHERE textdata is not null and EventClass = 12 GROUP BY TextData, ApplicationName, Reads ORDER BY Reads DESC As I expected, some values are very high. Top Reads, in pages. 2504188 1965910 1445636 1252433 1239108 1210153 1088580 1072725 Am I correct in thinking that the top one (2504188 pages) is 20033504 KB, which then is roughly ~20'000 MB, 20GB? These queries are often executed and can take quite some time to run. Eventually RAM is used up because of the cache fattening, and timeouts occur once SQL cannot 'splash' pages in the buffer pool as much. Costs go up. Am I correct in my understanding? I've read that I should tune the associated T-SQL and create appropriate indices. Obviously cutting down the I/O would make SQL Server use less RAM. OR, maybe it might just slow down the process of chewing up the whole RAM. If a lot less pages are read, maybe it'll all run much better even when usage is high? (less time swapping, etc.) Currently, our only option is to restart SQL once a week when RAM usage is high, suddenly the timeouts disappear. SQL breathes again. I'm sure lots of DBAs have been in this situation.. I'm asking before I start digging out all of the bad T-SQL and put indices here and there, is there is something else I can do? Any advice except from what I know (not much yet..) Much appreciated. Leo.

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  • Does cloud computing offer this? [closed]

    - by TheBlackBenzKid
    I have some newb questions I want answering please about cloud hosting - we are currently looking at Rackspace and getting a windows box. This is the situation: We have 15 computers in our office. We have 3 printers, some wifi and some network plugged. We have a standard router and the office share things via dropbox. The computers are not on Windows SBS or something similar. We want a cloud hosting solution that will offer User can login on any machine in the office and see the machine software User can login on any machine in the office and open Outlook and their emails and signature will be on exchange automatically A shared company folder on the network All printers automatically installed on the network Users can login remotely to access emails via the web At the moment we have a network company saying we need Xeon server in house with backup and psu and Windows SBS with license for each machine and also we need cabinets and cabling setup and also load balancers and modification of our DNS for emails. My question is this. Can cloud offer this? Can we have a server in the cloud that does this? Is it possible I mean the computers would be wireless connected to this cloud and you turn the machine on and its hosted?

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  • Our Oracle Recruitment Team is Growing - Multiple Job Opportunities in Bangalore, India

    - by david.talamelli
    DON"T GET STUCK IN THE MATRIXSEE YOUR FUTUREVISIT THE ORACLE The position(s): CORPORATE RECRUITING RESEARCH ANALYST(S) ABOUT ORACLE Oracle's business is information--how to manage it, use it, share it, protect it. For three decades, Oracle, the world's largest enterprise software company, has provided the software and services that allow organizations to get the most up-to-date and accurate information from their business systems. Only Oracle powers the information-driven enterprise by offering a complete, integrated solution for every segment of the process industry. When you run Oracle applications on Oracle technology, you speed implementation, optimize performance, and maximize ROI. Great hiring doesn't happen by accident; it's the culmination of a series of thoughtfully planned and well executed events. At the core of any hiring process is a sourcing strategy. This is where you come in... Do you want to be a part of a world-class recruiting organization that's on the cutting edge of technology? Would you like to experience a rewarding work environment that allows you to further develop your skills, while giving you the opportunity to develop new skills? If you answered yes, you've taken your first step towards a future with Oracle. We are building a Research Team to support our North America Recruitment Team, and we need creative, smart, and ambitious individuals to help us drive our research department forward. Oracle has a track record for employing and developing the very best in the industry. We invest generously in employee development, training and resources. Be a part of the most progressive internal recruiting team in the industry. For more information about Oracle, please visit our Web site at http://www.oracle.com Escape the hum drum job world matrix, visit the Oracle and be a part of a winning team, apply today. POSITION: Corporate Recruiting Research Analyst LOCATION: Bangalore, India RESPONSIBILITIES: •Develop candidate pipeline using Web 2.0 sourcing strategies and advanced Boolean Search techniques to support U.S. Recruiting Team for various job functions and levels. •Engage with assigned recruiters to understand the supported business as well as the recruiting requirements; partner with recruiters to meet expectations and deliver a qualified pipeline of candidates. •Source candidates to include both active and passive job seekers to provide a strong pipeline of qualified candidates for each recruiter; exercise creativity to find candidates using Oracle's advanced sourcing tools/techniques. •Fully evaluate candidate's background against the requirements provided by recruiter, and process leads using ATS (Applicant Tracking System). •Manage your efforts efficiently; maintain the highest levels of client satisfaction as well as strong operations and reporting of research activities. PREFERRED QUALIFICATIONS: •Fluent in English, with excellent written and oral communication skills. •Undergraduate degree required, MBA or Masters preferred. •Proficiency with Boolean Search techniques desired. •Ability to learn new software applications quickly. •Must be able to accommodate some U.S. evening hours. •Strong organization and attention to detail skills. •Prior HR or corporate in-house recruiting experiences a plus. •The fire in the belly to learn new ideas and succeed. •Ability to work in team and individual environments. This is an excellent opportunity to join Oracle in our Bangalore Offices. Interested applicants can send their resume to [email protected] or contact David on +61 3 8616 3364

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  • Slow Browsing/Direct Download, but Fast Bittorrent Download

    - by Dr Haisook
    I'm using Windows XP SP2. I have a 1 MB connection via a SpeedTouch 585, and my internet speed registers at 0.3 MB, with a maximum download of 30kbps. Not to mention a terrible ping at 500-1500. On the other hand, I get full speed in uTorrent - a bittorrent program - reaching up to 100 kbps; the way it should be. I haven't made any changes to anything. And it has been functioning well until the last month. I waited in hope that it could be an ISP issue and that it would be resolved, but their support crew did not help me with this problem either. I've tried disabling all firewalls, and all wireless connections, using different browsers, and disabling QoS. But it did not work. Me thinks it's an ISP issue, but if so, how am I getting full speed in uTorrent? Could somebody help me out with this? Thanks.

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  • Why do I need two Instances in Windows Azure?

    - by BuckWoody
    Windows Azure as a Platform as a Service (PaaS) means that there are various components you can use in it to solve a problem: Compute “Roles” - Computers running an OS and optionally IIS - you can have more than one "Instance" of a given Role Storage - Blobs, Tables and Queues for Storage Other Services - Things like the Service Bus, Azure Connection Services, SQL Azure and Caching It’s important to understand that some of these services are Stateless and others maintain State. Stateless means (at least in this case) that a system might disappear from one physical location and appear elsewhere. You can think of this as a cashier at the front of a store. If you’re in line, a cashier might take his break, and another person might replace him. As long as the order proceeds, you as the customer aren’t really affected except for the few seconds it takes to change them out. The cashier function in this example is stateless. The Compute Role Instances in Windows Azure are Stateless. To upgrade hardware, because of a fault or many other reasons, a Compute Role's Instance might stop on one physical server, and another will pick it up. This is done through the controlling fabric that Windows Azure uses to manage the systems. It’s important to note that storage in Azure does maintain State. Your data will not simply disappear - it is maintained - in fact, it’s maintained three times in a single datacenter and all those copies are replicated to another for safety. Going back to our example, storage is similar to the cash register itself. Even though a cashier leaves, the record of your payment is maintained. So if a Compute Role Instance can disappear and re-appear, the things running on that first Instance would stop working. If you wrote your code in a Stateless way, then another Role Instance simply re-starts that transaction and keeps working, just like the other cashier in the example. But if you only have one Instance of a Role, then when the Role Instance is re-started, or when you need to upgrade your own code, you can face downtime, since there’s only one. That means you should deploy at least two of each Role Instance not only for scale to handle load, but so that the first “cashier” has someone to replace them when they disappear. It’s not just a good idea - to gain the Service Level Agreement (SLA) for our uptime in Azure it’s a requirement. We point this out right in the Management Portal when you deploy the application: (Click to enlarge) When you deploy a Role Instance you can also set the “Upgrade Domain”. Placing Roles on separate Upgrade Domains means that you have a continuous service whenever you upgrade (more on upgrades in another post) - the process looks like this for two Roles. This example covers the scenario for upgrade, so you have four roles total - One Web and one Worker running the "older" code, and one of each running the new code. In all those Roles you want at least two instances, and this example shows that you're covered for High Availability and upgrade paths: The take-away is this - always plan for forward-facing Roles to have at least two copies. For Worker Roles that do background processing, there are ways to architect around this number, but it does affect the SLA if you have only one.

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  • High CPU usage by 'svchost.exe' and 'coreServiceShell.exe'

    - by kush.impetus
    I am having a laptop running on Windows 7 Ultimate 32-bit. Since past few days, my laptop is facing a serious problem. Whenever I connect to Internet, either svchost.exe or coreServiceShell.exe or both hog the CPU. The coreServiceShell.exe consumes a lot of RAM also. Going into the details, I found that high CPU usage of svchost.exe is caused by Network Location Awareness service. And the high CPU usage of coreServiceShell.exe is caused by Trend Micro Titanium Internet Security 2012. That kind'a makes me think that Trend Micro may be the root of the problem. After further testing, I found that if I use IE or Firefox to browse the Internet, immediately after connecting to Internet, things are normal. See and But if I use Google Chrome, the coreServiceShell.exe hogs both CPU and RAM. At this point, if I disconnect the Internet, the CPU and RAM usage by coreServiceShell.exe continues to be high till I close the Chrome. Also, when I close the Chrome, while Internet is connected, svchost.exe continues to hog CPU but coreServiceShell.exe leaves the race. That makes think that Chrome is the root of the problem, but again, tracing coreServiceShell.exe takes me back to Trend Micro Internet Security. Stopping the Protection by the Trend Micro Internet Security doesn't help either (I am not able to stop its services though). I have updated the Chrome, but no help. I just can't figure out who is the culprit. I can't do without the Google Chrome (of course, by not using it) because of its immensely useful and indispensable features both during browsing and development. Secondly, I can't uninstall the Trend Micro Internet security Suite since it still has few months before it expires and is proving me reliable protection. What could be the cause of the problem and what can I do to resolve this? Thanks in advance

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  • Book Review - Programming Windows Azure by Siriram Krishnan

    - by BuckWoody
    As part of my professional development, I’ve created a list of books to read throughout the year, starting in June of 2011. This a review of the first one, called Programming Windows Azure by Siriram Krishnan. You can find my entire list of books I’m reading for my career here: http://blogs.msdn.com/b/buckwoody/archive/2011/06/07/head-in-the-clouds-eyes-on-the-books.aspx  Why I Chose This Book: As part of my learning style, I try to read multiple books about a single subject. I’ve found that at least 3 books are necessary to get the right amount of information to me. This is a “technical” work, meaning that it deals with technology and not business, writing or other facets of my career. I’ll have a mix of all of those as I read along. I chose this work in addition to others I’ve read since it covers everything from an introduction to more advanced topics in a single book. It also has some practical examples of actually working with the product, particularly on storage. Although it’s dated, many examples normally translate. I also saw that it had pretty good reviews. What I learned: I learned a great deal about storage, and many useful code snippets. I do think that there could have been more of a focus on the application fabric - but of course that wasn’t as mature a feature when this book was written. I learned some great architecture examples, and in one section I learned more about encryption. In that example, however, I would rather have seen the examples go the other way - the book focused on moving data from on-premise to Azure storage in an encrypted fashion. Using the Application Fabric I would rather see sensitive data left in a hybrid fashion on premise, and connect to for the Azure application. Even so, the examples were very useful. If you’re looking for a good “starter” Azure book, this is a good choice. I also recommend the last chapter as a quick read for a DBA, or Database Administrator. It’s not very long, but useful. Note that the limits described are incorrect - which is one of the dangers of reading a book about any cloud offering. The services offered are updated so quickly that the information is in constant danger of being “stale”. Even so, I found this a useful book, which I believe will help me work with Azure better. Raw Notes: I take notes as I read, calling that process “reading with a pencil”. I find that when I do that I pay attention better, and record some things that I need to know later. I’ll take these notes, categorize them into a OneNote notebook that I synchronize in my Live.com account, and that way I can search them from anywhere. I can even read them on the web, since the Live.com has a OneNote program built in. Note that these are the raw notes, so they might not make a lot of sense out of context - I include them here so you can watch my though process. Programming Windows Azure by Siriram Krishnan: Learning about how to select applications suitable for Distributed Technology. Application Fabric gets the least attention; probably because it was newer at the time. Very clear (Chapter One) Good foundation Background and history, but not too much I normally arrange my descriptions differently, starting with the use-cases and moving to physicality, but this difference helps me. Interesting that I am reading this using Safari Books Online, which uses many of these concepts. Taught me some new aspects of a Hypervisor – very low-level information about the Azure Fabric (not to be confused with the Application Fabric feature) (Chapter Two) Good detail of what is included in the SDK. Even more is available now. CS = Cloud Service (Chapter 3) Place Storage info in the configuration file, since it can be streamed in-line with a running app. Ditto for logging, and keep separated configs for staging and testing. Easy-switch in and switch out.  (Chapter 4) There are two Runtime API’s, one of external and one for internal. Realizing how powerful this paradigm really is. Some places seem light, and to drop off but perhaps that’s best. Managing API is not charged, which is nice. I don’t often think about the price, until it comes to an actual deployment (Chapter 5) Csmanage is something I want to dig into deeper. API requires package moves to Blob storage first, so it needs a URL. Csmanage equivalent can be written in Unix scripting using openssl. Upgrades are possible, and you use the upgradeDomainCount attribute in the Service-Definition.csdef file  Always use a low-privileged account to test on the dev fabric, since Windows Azure runs in partial trust. Full trust is available, but can be dangerous and must be well-thought out. (Chapter 6) Learned how to run full CMD commands in a web window – not that you would ever do that, but it was an interesting view into those links. This leads to a discussion on hosting other runtimes (such as Java or PHP) in Windows Azure. I got an expanded view on this process, although this is where the book shows its age a little. Books can be a problem for Cloud Computing for this reason – things just change too quickly. Windows Azure storage is not eventually consistent – it is instantly consistent with multi-phase commit. Plumbing for this is internal, not required to code that. (Chapter 7) REST API makes the service interoperable, hybrid, and consistent across code architectures. Nicely done. Use affinity groups to keep data and code together. Side note: e-book readers need a common “notes” feature. There’s a decent quick description of REST in this chapter. Learned about CloudDrive code – PowerShell sample that mounts Blob storage as a local provider. Works against Dev fabric by default, can be switched to Account. Good treatment in the storage chapters on the differences between using Dev storage and Azure storage. These can be mitigated. No, blobs are not of any size or number. Not a good statement (Chapter 8) Blob storage is probably Azure’s closest play to Infrastructure as a Service (Iaas). Blob change operations must be authenticated, even when public. Chapters on storage are pretty in-depth. Queue Messages are base-64 encoded (Chapter 9) The visibility timeout ensures processing of message in a disconnected system. Order is not guaranteed for a message, so if you need that set an increasing number in the queue mechanism. While Queues are accessible via REST, they are not public and are secured by default. Interesting – the header for a queue request includes an estimated count. This can be useful to create more worker roles in a dynamic system. Each Entity (row) in the Azure Table service is atomic – all or nothing. (Chapter 10) An entity can have up to 255 Properties  Use “ID” for the class to indicate the key value, or use the [DataServiceKey] Attribute.  LINQ makes working with the Azure Table Service much easier, although Interop is certainly possible. Good description on the process of selecting the Partition and Row Key.  When checking for continuation tokens for pagination, include logic that falls out of the check in case you are at the last page.  On deleting a storage object, it is instantly unavailable, however a background process is dispatched to perform the physical deletion. So if you want to re-create a storage object with the same name, add retry logic into the code. Interesting approach to deleting an index entity without having to read it first – create a local entity with the same keys and apply it to the Azure system regardless of change-state.  Although the “Indexes” description is a little vague, it’s interesting to see a Folding and Stemming discussion a-la the Porter Stemming Algorithm. (Chapter 11)  Presents a better discussion of indexes (at least inverted indexes) later in the chapter. Great treatment for DBA’s in Chapter 11. We need to work on getting secondary indexes in Table storage. There is a limited form of transactions called “Entity Group Transactions” that, although they have conditions, makes a transactional system more possible. Concurrency also becomes an issue, but is handled well if you’re using Data Services in .NET. It watches the Etag and allows you to take action appropriately. I do not recommend using Azure as a location for secure backups. In fact, I would rather have seen the examples in (Chapter 12) go the other way, showing how data could be brought back to a local store as a DR or HA strategy. Good information on cryptography and so on even so. Chapter seems out of place, and should be combined with the Blob chapter.  (Chapter 13) on SQL Azure is dated, although the base concepts are OK.  Nice example of simple ADO.NET access to a SQL Azure (or any SQL Server Really) database.  

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  • High latency issue for web service call from amazon aws ec2 to local server

    - by SibzTer
    We have a legacy web application that is running in our data center on premises located in Houston. We have a developed a new .net 4 based web application in order to provide new features to customers. The new web application is hosted in amazon aws ec2 environment (N. Virginia region us-east-1b zone). In order to get seamlessly integrate with the legacy application the new web application makes web service calls to retrieve data. We are seeing an unusually high latency time in the order of 5+ seconds for these web service calls. The exact same web service call returns in less than a second on our local PCs (which makes sense given physical proximity to the actual server). The weird part is that we have developers in California who also have the same milliseconds response time. We are testing the web service response using third party tools such as SoapUI, Google Chrome extensions such as Advanced REST Client, Postman REST Client, etc. As if this wasnt weird enough, we have noticed the same low latency from certain other ec2 instances while testing which are in the same region and availability zone as well. If we experienced the high latency consistently from all the ec2 instances I could understand. But there is something else going on. Comparing the various stats and results between the low latency and high latency ec2 servers do not show any significant differences: ping (constant 40ms), tracert, winmtr, etc. We have instances that are in the VPC as well. So I tried both the public and private IP address of the web service host server and that didnt make a difference either for the above results. We need to resolve this latency issue as this is causing the resulting web pages to load very slowly (almost 15+ seconds which is simply unacceptable). The ec2 instances have Windows Server Datacenter 64 bit. Let me know if there is any other infor I can provide to help diagnose this.

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  • apache2 + mod_fastcgi + suexec + php5.2 = unstable on high load

    I am hosting several (~30) different sites on one server with apache2+fastcgi+suexec+php5. Sites have different loads and different execution times of their scripts (some of them process request for 5-7 seconds, some <1sek). Sometimes when single site receives very high load (all php instances of this site are created and used) - whole apache server hangs. Apache (worker mpm) creates new processes up to the upper limit. It looks like it is starting to queue ALL new request for EVERY site, not only the one that has high load and quickly achieves process limits... restart of apache solves the problem... config: FastCgiConfig -singleThreshold 1 -multiThreshold 10 -listen-queue-depth 30 -maxProcesses 80 -maxClassProcesses 12 -idle-timeout 30 -pass-header HTTP_AUTHORIZATION -pass-header If-Modified-Since -pass-header If-None-Match (earlier have default -listen-queue-depth = 100, but it didn't change anything...) Any suggestions? Another question - how is implemented this listen queue? is it one queue for whole apache, or unique queue for every defined php apllication (suexec site)? I would like to achieve something like this: when one site receives high load and its queue is full - server bounces next request, but only for this one site.. Other sites should work properly...

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  • High disk I/O activity in CentOS server

    - by triiim
    I have about 16 websites in a CentOS dedicated, and I am having some problems on high traffic hours, it seems to be a high disk I/O activity causing a general slowdown. I've installed atop and this is what I see on the bottom (the server has been restarted thats why the values are so low): *** system and process activity since boot *** PID RDDSK WRDSK WCANCL DSK CMD 1/18 2176 1.7G 7.3G 854.4M 39 mysqld 671 1248K 3.0G 0K 13 flush-8:0 566 0K 1.1G 0K 5 jbd2/sda2-8 2401 124.2M 529.1M 22408K 3 crond 2032 2.2G 502.0M 0K 12 nginx 2360 425.8M 115.3M 4188K 2 httpd flush-8:0 and jbd2/sda2-8 are the processes I see with iotop using 99% on the IO column, and they are the processes that write the most on the hdd (after mysql). From what I saw in google this could be caused by some ext4 related bug, the current kernel is: Linux srvr.com 2.6.32-71.29.1.el6.x86_64 #1 SMP Mon Jun 27 19:49:27 BST 2011 x86_64 x86_64 x86_64 GNU/Linux I asked the hosting support to update the kernel and they tried but they now say that the server wont boot with the new installed kernel and they had to go back to the previous, they are not helping very much. Does someone has any idea how could I solve the high disk usage caused by flush-8:0 and jbd2/sda2-8 processes?

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  • Server high CPU load issue! ( Cpanel + CentOS 5)

    - by kenby
    Our server cpu load is high todays sometimes reaches to 560! .. We have the lastest Cpanel/whm and the kernel is update!while the load average is : Load Averages: 39.05 75.01 45.33 the apache log is: Current Time: Sunday, 30-Jan-2011 01:50:13 EST Restart Time: Saturday, 29-Jan-2011 21:51:20 EST Parent Server Generation: 2 Server uptime: 3 hours 58 minutes 53 seconds Total accesses: 149493 - Total Traffic: 2.4 GB CPU Usage: u9.17 s10.66 cu42.82 cs0 - .437% CPU load 10.4 requests/sec - 174.6 kB/second - 16.7 kB/request 121 requests currently being processed, 42 idle workers W_WWW.W_..W.W_W_WCWW..W...W.WWW.WWWW.WW.C_W_.W.WW.WC..W.WW.WW .W.W.W...WWWW...WW.CC.C.._W.WC.WW_WW._W....W.WWW.W.WWW.W..W WW.....WW.W_WWWWW..WCRW..WWCW.WWW__.WWWWCW_W._._WW_W...W...W _W..W..WW.W...._W..._WW.W.WWW.._W.WWW.WWW....WW_.C...W._ Scoreboard Key: "_" Waiting for Connection, "S" Starting up, "R" Reading Request, "W" Sending Reply, "K" Keepalive (read), "D" DNS Lookup, "C" Closing connection, "L" Logging, "G" Gracefully finishing, "I" Idle cleanup of worker, "." Open slot with no current process What cause this high cpu load while the apache cpu load is fine? the mysql process is also fine.. the cpu load is still high even if I stop mail-http-mysql services!

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  • Algorithm for computing the inverse of a polynomial

    - by Neville
    I'm looking for an algorithm (or code) to help me compute the inverse a polynomial, I need it for implementing NTRUEncrypt. An algorithm that is easily understandable is what I prefer, there are pseudo-codes for doing this, but they are confusing and difficult to implement, furthermore I can not really understand the procedure from pseudo-code alone. Any algorithms for computing the inverse of a polynomial with respect to a ring of truncated polynomials?

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  • computing hash values, integral types versus struct/class

    - by aaa
    hello I would like to know if there is a difference in speed between computing hash value (for example std::map key) of primitive integral type, such as int64_t and pod type, for example struct { int16_t v[4]; };. I know this is going to implementation specific, so my question ultimately pertains to gnu standard library. Thanks

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  • What does "Computing additional info" mean?

    - by JesperE
    Eclipse Helios periodically starts running a job which displays "Computing additional info". During this time, Eclipse is very sluggish, bordering on unusable. What does this job do? Can I shut it off? I just hope that someone in the JDT team comes to sense and gets rid of it, make it go faster, or at the very least change it to something meaningful.

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  • R: optimal way of computing the "product" of two vectors

    - by Musa
    Hi, Let's assume that I have a vector r <- rnorm(4) and a matrix W of dimension 20000*200 for example: W <- matrix(rnorm(20000*200),20000,200) I want to compute a new matrix M of dimension 5000*200 such that m11 <- r%*%W[1:4,1], m21 <- r%*%W[5:8,1], m12 <- r%*%W[1:4,2] etc. (i.e. grouping rows 4-by-4 and computing the product). What's the optimal (speed,memory) way of doing this? Thanks in advance.

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  • NFS and KVM. Slow Speed

    - by Javier Martinez
    I have a KVM virtualization in Debian with 2 guests (Debian and Windows 2008). I want to have a 'mount point' shared that can be accessed by the 3 system (host and 2 guests) at the same time. So the only thing that I found was a NFS/SMB network storage. I picked NFS Due to my Ethernet network (10/100), the speed average that I get between accessing/transfering files between the 3 system is always 8~10MB/s. The point is if is there any chance of get a boost system for sharing files between 3 system (at the same time) without wasting the speed of my SATA disks. I mean, without the Ethernet limitation of 10 MB/s

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