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  • VMWare - Writing files to virtual hard drive performance

    - by Ardman
    We have just moved our infrastructure from physical servers to virtual machines. Everything is running great and we are happy with the result of the move. We have identified one problem, and that is reading/writing performance. We have an application that compiles files and writes to disk. This is considerably slower on the new virtual machines compared to the physical machines. Is there a performance bottleneck when writing to a virtual hard drive compared to a physical hard drive?

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  • Optimize windows 2008 performance

    - by Giorgi
    Hello, I have windows server 2008 sp2 installed as virtual machine on my personal laptop. I use it only for source control (visual svn) and continuous integration (teamcity). As the virtual machine resources are limited I'd like to optimize it's performance by disabling services and features that are not necessary for my purposes. Can anyone recommend where to start or provide with tips for getting better performance. Thanks.

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  • Linux RAID-0 performance doesn't scale up over 1 GB/s

    - by wazoox
    I have trouble getting the max throughput out of my setup. The hardware is as follow : dual Quad-Core AMD Opteron(tm) Processor 2376 16 GB DDR2 ECC RAM dual Adaptec 52245 RAID controllers 48 1 TB SATA drives set up as 2 RAID-6 arrays (256KB stripe) + spares. Software : Plain vanilla 2.6.32.25 kernel, compiled for AMD-64, optimized for NUMA; Debian Lenny userland. benchmarks run : disktest, bonnie++, dd, etc. All give the same results. No discrepancy here. io scheduler used : noop. Yeah, no trick here. Up until now I basically assumed that striping (RAID 0) several physical devices should augment performance roughly linearly. However this is not the case here : each RAID array achieves about 780 MB/s write, sustained, and 1 GB/s read, sustained. writing to both RAID arrays simultaneously with two different processes gives 750 + 750 MB/s, and reading from both gives 1 + 1 GB/s. however when I stripe both arrays together, using either mdadm or lvm, the performance is about 850 MB/s writing and 1.4 GB/s reading. at least 30% less than expected! running two parallel writer or reader processes against the striped arrays doesn't enhance the figures, in fact it degrades performance even further. So what's happening here? Basically I ruled out bus or memory contention, because when I run dd on both drives simultaneously, aggregate write speed actually reach 1.5 GB/s and reading speed tops 2 GB/s. So it's not the PCIe bus. I suppose it's not the RAM. It's not the filesystem, because I get exactly the same numbers benchmarking against the raw device or using XFS. And I also get exactly the same performance using either LVM striping and md striping. What's wrong? What's preventing a process from going up to the max possible throughput? Is Linux striping defective? What other tests could I run?

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  • Randomly poor 2D performance in Linux Mint 11 when using nvidia driver

    - by SDD
    I am using: - Linux Mint 11 - Geforce 560ti - nVidia driver (installed via helper programm, not from nvidia page) The third party nvidia drivers radomly cause very poor 2D performance. Radomly because the performance can be very great, but after the next reboot or login become very poor. After another reboot or login, this might change again to better or worse. I have no idea why and how and I need your help. Thank you.

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  • Automated Controls Monitoring for PeopleSoft

    When building GRC programs to meet regulatory requirements, monitoring program "effectiveness" cannot be overlooked. This includes monitoring the effectiveness of the business processes and applications that are critical to reliable financial reporting and overall compliance. Tune into this conversation with Michele Shannon, Senior Director, GRC Product Strategy to hear about Oracle's GRC solution for its PeopleSoft applications. You will learn how a comprehensive approach to continuously monitoring controls can help organizations honor their compliance obligations,develop a strong baseline of key controls,minimize risks and inefficiencies,and streamline internal and external audits.

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  • How to measure disk-performance under Windows?

    - by Alphager
    I'm trying to find out why my application is very slow on a certain machine (runs fine everywhere else). I think i have traced the performance-problems to hard-disk reads and writes and i think it's simply the very slow disk. What tool could i use to measure hd read and write performance under Windows 2003 in a non-destructive way (the partitions on the drives have to remain intact)?

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  • monitoring TCP/IP performance on Solaris

    - by Andy Faibishenko
    I am trying to tune a high message traffic system running on Solaris. The architecture is a large number (600) of clients which connect via TCP to a big Solaris server and then send/receive relatively small messages (.5 to 1K payload) at high rates. The goal is to minimize the latency of each message processed. I suspect that the TCP stack of the server is getting overwhelmed by all the traffic. What are some commands/metrics that I can use to confirm this, and in case this is true, what is the best way to alleviate this bottleneck?

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  • IIS/ASP.NET performance incident - Perfmon Current Annonymous Users going through roof but Requests/sec low

    - by Laurence
    Setup: ASP.NET 4.0 website on IIS 6.0 on Win 2003 64 bit, 8xCPUs, 16GB memory, separate SQL 2005 DB server. Had a serious slowdown today with any otherwise fairly well performing ASP.NET site. For a period of a couple of hours all page requests were taking a very long time to be served - e.g. 30-60s compared to usual 2s. The w3wp.exe's CPU and memory usage on the webserver was not much higher than normal. The application pool was not in the middle of recycling (and it hadn't recycled for several hours). Bottlenecks in the database were ruled out - no blocks occurring and query results were being returned quickly. I couldn't make any sense of it and set up the following Perfmon counters: Current Anonymous Users (for site in question) Get requests/sec (ditto) Requests/sec for the ASP.NET application running the site Get requests/sec was averaging 100-150. Requests/sec for ASP.NET was averaging 5-10. However Current Anonymous Users was around 200. And then as I was watching, the Current Anonymous Users began to climb steeply going up to about 500 within a few minutes. All this time Get requests/sec & Requests/sec for ASP.NET was if anything going down. I did a whole load of things (in a panic!) to try to get the site working, like shutting it down, recycling the app pool, and adding another worker process to the pool. I also extended the expiration time for content (in IIS under HTTP Headers) in an attempt to lower the number of requests for static files (there are a lot of images on the site). The site is now back to normal, and the counters are fairly steady and reading (added Current Connections counter): Current Anonymous Users : average 30 Get requests/sec : average 100 Requests/sec for ASP.NET : 5 Current Connections : average 300 I have also observed an inverse relationship between Get requests/sec & Current Anonymous Users. Usually both are fairly steady but there will be short periods when Get requests/sec will go down dramatically and Current Anonymous Users will go up in a perfect mirror image. Then they will flip back to their usual levels. So, my questions are: Thinking of the original performance issue - if w3wp.exe CPU, memory usage were normal and there was no DB bottleneck, what could explain page requests taking 20 times longer to be served than usual? What other counters should I be looking at if this happens again? What explains the inverse relationship between Get requests/sec & Current Anonymous Users? What could explain Current Anonymous Users going from 200 to 500 within a few minutes? Many thanks for any insight into this.

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  • Baseline / Benchmark Physical and virtual server performance

    - by EyeonTech
    I am setting up a new server and there are some options. I want to perform some benchmarks and I need your help in determining the best tools and if possible run pre-configured benchmarks designed for SQL servers on Windows Server 2008/2012. Step 1. Run a performance monitor on the current Live SQL server (Windows Server 2008 Virtual machine running on ESXi. New server Hardware rundown: Intel® Server System R1304BTLSHBN - 1U Rack, LGA1155 http://ark.intel.com/products/53559/Intel-Server-System-R1304BTLSHBN Intel Xeon E3-1270V2 2x Intel SSD 330 Series 240GB 2.5in SATA 6Gb/s 25nm 1x WD 2TB WD2002FAEX 2TB 64M SATA3 CAVIAR BLACK 4x 8GB 1333MHz DDR3 ECC CL9 DIMM There are several options for configurations and I want to benchmark some of them and share the results. Option 1. Configure 2x SSDs at RAID 0. Install Windows Server 2008 directly to the 2TB WD Caviar HDD. Store Database files on the RAID 0 Volume. Benchmark the OS direct on the hardware as an SQL Server. Store SQL Backup databases on the 2TB WD Caviar HDD. Option 2. Configure 2x SSDs at RAID 0. Install Windows Server 2012 directly to the 2TB WD Caviar HDD. Install Hyper-V. Install the SQL Server (Server 2008) as a virtual machine. Store the Virtual Hard Disks on the SSDs. Option 3. Configure 2x SSDs at RAID 0. Install VMWare ESXi on a partition of the 2TB WD Caviar HDD. Install the SQL Server (Server 2008) as a virtual machine. Store the Virtual Hard Disks on the SSDs. I have a few tools in mind from http://technet.microsoft.com/en-us/library/cc768530(v=bts.10).aspx. Any tools with pre-configured test would be fantastic. Specifically if there are pre-configured perfmon sets avaliable. Any opinions on the setup to gain the best results is welcome. Thanks in advance.

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  • JBOSS Monitoring tool on UNIX

    - by The Machine
    I have a web application deployed on a jboss server running on a unix machine. I want to be able to monitor threads, CPU times ,requests, etc. , for gauging application performance on the server. What might be the best way to do this?

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  • Remote application monitoring through Visual GC

    - by Poole
    I am trying to monitor an application available on remote machine using VisualVM & Visual GC. I have enabled the jmxremote on the remote side as follows: -Dcom.sun.management.jmxremote, -Dcom.sun.management.jmxremote.port=8888, -Dcom.sun.management.jmxremote.ssl=false, -Dcom.sun.management.jmxremote.authenticate=false While monitoring through VisualVM, everything runs fine but VisualGC doesn't displays any stats (getting Not Supported for this JVM error). While tried to monitor one local application, VisualGC runs fine... Got success with the remote app once started jstad on the remote jvm. Is this a known issue with VisualGC...? Remote JVM - 1.5 Local JVM - 1.6

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  • monitoring TCP/IP performance on Solaris

    - by Andy Faibishenko
    I am trying to tune a high message traffic system running on Solaris. The architecture is a large number (600) of clients which connect via TCP to a big Solaris server and then send/receive relatively small messages (.5 to 1K payload) at high rates. The goal is to minimize the latency of each message processed. I suspect that the TCP stack of the server is getting overwhelmed by all the traffic. What are some commands/metrics that I can use to confirm this, and in case this is true, what is the best way to alleviate this bottleneck?

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  • performance monitoring

    - by Sunny
    I want to monitor CPU usage, disk read/write usage for a particular process, say ./myprocess. To monitor CPU top command seems to be a nice option and for read and write iotop seems to be a handy one. For example to monitor read/write for every second i use the command iotop -tbod1 | grep "myprocess". My difficulty is I just want only three variables to store, namely read/sec, write/sec, cpu usage/sec. Could you help me with a script that combines the outputs the above said three variables from top and iotop to be stored into a log file? Thanks!

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  • Database Mirroring Performance Monitoring

    Many people deploy performance monitoring solutions in a "one-size-fits-all" manner. That is, they tend to build a solution that can be easily deployed to multiple servers and capture basic information from each server. The trouble is that not every server is identical, not even within the same shop. For example, not every server may have database mirroring deployed, which means your performance monitoring solution may be missing some critical pieces of information with regards to monitoring database mirroring.

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  • More CPU cores may not always lead to better performance – MAXDOP and query memory distribution in spotlight

    - by sqlworkshops
    More hardware normally delivers better performance, but there are exceptions where it can hinder performance. Understanding these exceptions and working around it is a major part of SQL Server performance tuning.   When a memory allocating query executes in parallel, SQL Server distributes memory to each task that is executing part of the query in parallel. In our example the sort operator that executes in parallel divides the memory across all tasks assuming even distribution of rows. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union.   In reality, how often are column values evenly distributed, think about an example; are employees working for your company distributed evenly across all the Zip codes or mainly concentrated in the headquarters? What happens when you sort result set based on Zip codes? Do all products in the catalog sell equally or are few products hot selling items?   One of my customers tested the below example on a 24 core server with various MAXDOP settings and here are the results:MAXDOP 1: CPU time = 1185 ms, elapsed time = 1188 msMAXDOP 4: CPU time = 1981 ms, elapsed time = 1568 msMAXDOP 8: CPU time = 1918 ms, elapsed time = 1619 msMAXDOP 12: CPU time = 2367 ms, elapsed time = 2258 msMAXDOP 16: CPU time = 2540 ms, elapsed time = 2579 msMAXDOP 20: CPU time = 2470 ms, elapsed time = 2534 msMAXDOP 0: CPU time = 2809 ms, elapsed time = 2721 ms - all 24 cores.In the above test, when the data was evenly distributed, the elapsed time of parallel query was always lower than serial query.   Why does the query get slower and slower with more CPU cores / higher MAXDOP? Maybe you can answer this question after reading the article; let me know: [email protected].   Well you get the point, let’s see an example.   The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script.   Let’s update the Employees table with 49 out of 50 employees located in Zip code 2001. update Employees set Zip = EmployeeID / 400 + 1 where EmployeeID % 50 = 1 update Employees set Zip = 2001 where EmployeeID % 50 != 1 go update statistics Employees with fullscan go   Let’s create the temporary table #FireDrill with all possible Zip codes. drop table #FireDrill go create table #FireDrill (Zip int primary key) insert into #FireDrill select distinct Zip from Employees update statistics #FireDrill with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --First serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) goThe query took 1011 ms to complete.   The execution plan shows the 77816 KB of memory was granted while the estimated rows were 799624.  No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 1912 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 799624.  The estimated number of rows between serial and parallel plan are the same. The parallel plan has slightly more memory granted due to additional overhead. Sort properties shows the rows are unevenly distributed over the 4 threads.   Sort Warnings in SQL Server Profiler.   Intermediate Summary: The reason for the higher duration with parallel plan was sort spill. This is due to uneven distribution of employees over Zip codes, especially concentration of 49 out of 50 employees in Zip code 2001. Now let’s update the Employees table and distribute employees evenly across all Zip codes.   update Employees set Zip = EmployeeID / 400 + 1 go update statistics Employees with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go   The query took 751 ms to complete.  The execution plan shows the 77816 KB of memory was granted while the estimated rows were 784707.  No Sort Warnings in SQL Server Profiler.   Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 661 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 784707.  Sort properties shows the rows are evenly distributed over the 4 threads. No Sort Warnings in SQL Server Profiler.    Intermediate Summary: When employees were distributed unevenly, concentrated on 1 Zip code, parallel sort spilled while serial sort performed well without spilling to tempdb. When the employees were distributed evenly across all Zip codes, parallel sort and serial sort did not spill to tempdb. This shows uneven data distribution may affect the performance of some parallel queries negatively. For detailed discussion of memory allocation, refer to webcasts available at www.sqlworkshops.com/webcasts.     Some of you might conclude from the above execution times that parallel query is not faster even when there is no spill. Below you can see when we are joining limited amount of Zip codes, parallel query will be fasted since it can use Bitmap Filtering.   Let’s update the Employees table with 49 out of 50 employees located in Zip code 2001. update Employees set Zip = EmployeeID / 400 + 1 where EmployeeID % 50 = 1 update Employees set Zip = 2001 where EmployeeID % 50 != 1 go update statistics Employees with fullscan go  Let’s create the temporary table #FireDrill with limited Zip codes. drop table #FireDrill go create table #FireDrill (Zip int primary key) insert into #FireDrill select distinct Zip       from Employees where Zip between 1800 and 2001 update statistics #FireDrill with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go The query took 989 ms to complete.  The execution plan shows the 77816 KB of memory was granted while the estimated rows were 785594. No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 1799 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 785594.  Sort Warnings in SQL Server Profiler.    The estimated number of rows between serial and parallel plan are the same. The parallel plan has slightly more memory granted due to additional overhead.  Intermediate Summary: The reason for the higher duration with parallel plan even with limited amount of Zip codes was sort spill. This is due to uneven distribution of employees over Zip codes, especially concentration of 49 out of 50 employees in Zip code 2001.   Now let’s update the Employees table and distribute employees evenly across all Zip codes. update Employees set Zip = EmployeeID / 400 + 1 go update statistics Employees with fullscan go Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go The query took 250  ms to complete.  The execution plan shows the 9016 KB of memory was granted while the estimated rows were 79973.8.  No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0.  --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 85 ms to complete.  The execution plan shows the 13152 KB of memory was granted while the estimated rows were 784707.  No Sort Warnings in SQL Server Profiler.    Here you see, parallel query is much faster than serial query since SQL Server is using Bitmap Filtering to eliminate rows before the hash join.   Parallel queries are very good for performance, but in some cases it can hinder performance. If one identifies the reason for these hindrances, then it is possible to get the best out of parallelism. I covered many aspects of monitoring and tuning parallel queries in webcasts (www.sqlworkshops.com/webcasts) and articles (www.sqlworkshops.com/articles). I suggest you to watch the webcasts and read the articles to better understand how to identify and tune parallel query performance issues.   Summary: One has to avoid sort spill over tempdb and the chances of spills are higher when a query executes in parallel with uneven data distribution. Parallel query brings its own advantage, reduced elapsed time and reduced work with Bitmap Filtering. So it is important to understand how to avoid spills over tempdb and when to execute a query in parallel.   I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts.   Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.   Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk.   Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.   R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan  

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  • Benchmarking a file server

    - by Joel Coel
    I'm working on building a new file server... a simple Windows Server box with a few terabytes of disk space to share on the LAN. Pain for current hard drive prices aside :( -- I would like to get some benchmarks for this device under load compared to our old server. The old server was installed in 2005 and had 5 136GB 10K disks in RAID 5. The new server has 8 1TB disks in two RAID 10 volumes (plus a hot spare for each volume), but they're only 7.2K rpm, and of course with a much larger cache size. I'd like to get an idea of the performance expectations of the new server relative to the old. Where do I get started? I'd like to know both raw potential under different kinds of load for each server, as well an idea of what our real-world load looks like and how it will translate. Will disk load even matter, or will performance be more driven by the network connection? I could probably fumble through some disk i/o and wait counters in performance monitor, but I don't really know what to look for, which counters to watch, or for how long and when. FWIW, I'm expecting a nice improvement because of the benefits of having two different volumes and the better RAID 10 performance vs RAID 5, in spite of using slower disks... but I'd like to get an idea of how much.

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  • How can dev teams prevent slow performance in consumer apps?

    - by Crashworks
    When I previously asked what's responsible for slow software, a few answers I've received suggested it was a social and management problem: This isn't a technical problem, it's a marketing and management problem.... Utimately, the product mangers are responsible to write the specs for what the user is supposed to get. Lots of things can go wrong: The product manager fails to put button response in the spec ... The QA folks do a mediocre job of testing against the spec ... if the product management and QA staff are all asleep at the wheel, we programmers can't make up for that. —Bob Murphy People work on good-size apps. As they work, performance problems creep in, just like bugs. The difference is - bugs are "bad" - they cry out "find me, and fix me". Performance problems just sit there and get worse. Programmers often think "Well, my code wouldn't have a performance problem. Rather, management needs to buy me a newer/bigger/faster machine." The fact is, if developers periodically just hunt for performance problems (which is actually very easy) they could simply clean them out. —Mike Dunlavey So, if this is a social problem, what social mechanisms can an organization put into place to avoid shipping slow software to its customers?

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  • Monitor file selection in explorer (like clipboard monitoring) in C#

    - by Christian
    Hi, I am trying to create a little helper application, one scenario is "file duplication finder". What I want to do is this: I start my C# .NET app, it gives me an empty list. Start the normal windows explorer, select a file in some folder The C# app tells me stuff about this file (e.g. duplicates) How can I monitor the currently selected file in the "normal" windows explorer instance. Do I have to start the instance using .NET to have a handle of the process. Do I need a handle, or is there some "global hook" I can monitor inside C#. Its a little bit like monitoring the clipboard, but not exactly the same... Any help is appreciated (if you don't have code, just point me to the right interops, dlls or help pages :-) Thanks, Chris EDIT 1 (current source, thanks to Mattias) using SHDocVw; using Shell32; public static void ListExplorerWindows() { foreach (InternetExplorer ie in new ShellWindowsClass()) DebugExplorerInstance(ie); } public static void DebugExplorerInstance(InternetExplorer instance) { Debug.WriteLine("DebugExplorerInstance ".PadRight(30, '=')); Debug.WriteLine("FullName " + instance.FullName); Debug.WriteLine("AdressBar " + instance.AddressBar); var doc = instance.Document as IShellFolderViewDual ; if (doc != null) { Debug.WriteLine(doc.Folder.Title); foreach (FolderItem item in doc.SelectedItems()) { Debug.WriteLine(item.Path); } } }

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  • Openfiler iSCSI performance

    - by Justin
    Hoping someone can point me in the right direction with some iSCSI performance issues I'm having. I'm running Openfiler 2.99 on an older ProLiant DL360 G5. Dual Xeon processor, 6GB ECC RAM, Intel Gigabit Server NIC, SAS controller with and 3 10K SAS drives in a RAID 5. When I run a simple write test from the box directly the performance is very good: [root@localhost ~]# dd if=/dev/zero of=tmpfile bs=1M count=1000 1000+0 records in 1000+0 records out 1048576000 bytes (1.0 GB) copied, 4.64468 s, 226 MB/s So I created a LUN, attached it to another box I have running ESXi 5.1 (Core i7 2600k, 16GB RAM, Intel Gigabit Server NIC) and created a new datastore. Once I created the datastore I was able to create and start a VM running CentOS with 2GB of RAM and 16GB of disk space. The OS installed fine and I'm able to use it but when I ran the same test inside the VM I get dramatically different results: [root@localhost ~]# dd if=/dev/zero of=tmpfile bs=1M count=1000 1000+0 records in 1000+0 records out 1048576000 bytes (1.0 GB) copied, 26.8786 s, 39.0 MB/s [root@localhost ~]# Both servers have brand new Intel Server NIC's and I have Jumbo Frames enabled on the switch, the openfiler box as well as the VMKernel adapter on the ESXi box. I can confirm this is set up properly by using the vmkping command from the ESXi host: ~ # vmkping 10.0.0.1 -s 9000 PING 10.0.0.1 (10.0.0.1): 9000 data bytes 9008 bytes from 10.0.0.1: icmp_seq=0 ttl=64 time=0.533 ms 9008 bytes from 10.0.0.1: icmp_seq=1 ttl=64 time=0.736 ms 9008 bytes from 10.0.0.1: icmp_seq=2 ttl=64 time=0.570 ms The only thing I haven't tried as far as networking goes is bonding two interfaces together. I'm open to trying that down the road but for now I am trying to keep things simple. I know this is a pretty modest setup and I'm not expecting top notch performance but I would like to see 90-100MB/s. Any ideas?

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  • Terminal server performance over high latency links

    - by holz
    Our datacenter and head office is currently in Brisbane, Australia, and we have a branch office in the UK. We have a private WAN with a 768k link to our UK office and the latency is at about 350ms. The terminal server performance is reeeeealy bad. Applications that don't have too much animation or any images seem to be okay. But as soon as they do, the session is almost unusable. Powerpoint and internet explorer are good examples of apps that make it run slow. And if there is an image in your email signature, outlook will hang for about 10 seconds each time a new line is inserted, while the image gets moved down a few pixels. We are currently running server 2003. I have tried Server 2008 R2 RDS, and also a third party solution called Blaze by a company called Ericom, but it is still not too much better. We currently have a 5 levels dynamic class of service with the priority in the following order. VoIP Video Terminal Services Printing Everything else When testing the terminal server performance, the link monitored using net-flows, and have plenty we of bandwidth available, so I believe that it is a latency issue rather than bandwidth. Is there anything that can be done to improve performance. Would citrix help at all?

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  • mysql medium int vs. int performance?

    - by aviv
    Hi, I have a simple users table, i guess the maximum users i am going to have is 300,000. Currently i am using: CREATE TABLE users ( id INT UNSIGEND AUTOINCEREMENT PRIMARY KEY, .... Of course i have many other tables that the users(id) is a FOREIGN KEY in them. I read that since the id is not going to use the full maximum of INT it is better to use: MEDIUMINT and it will give better performance. Is it true? (I am using mysql on Windows Server 2008) Thanks.

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  • Monitoring .NET ASP.NET Applications

    - by James Hollingworth
    I have a number of applications running on top of ASP.NET I want to monitor. The main things I care about are: Exceptions: We currently some custom code which will email us when an exception occurs. If the application is failing hard it will crash our outlook... I know (and use) elmah which partly solves the problem however it is still just a big table of exceptions with a pretty(ish) UI. I want something that makes sense of all of these exceptions (e.g. groups exceptions, alerts when new ones occur, tells me what the common ones are that I should fix, etc) Logging: We currently log to files which are then accessible via a shared folder which dev's grep & tail. Does anyone know of better ways of presenting this information. In an ideal world I want to associate it with exceptions. Performance: Request times, memory usage, cpu, etc. whatever stats I can get I'm guessing this is probably going to be solved by a number of tools, has anyone got any suggestions?

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  • SQL Server: One 12-drive RAID-10 array or 2 arrays of 8-drives and 4-drives

    - by ben
    Setting up a box for SQL Server 2008, which would give the best performance (heavy OLTP)? The more drives in a RAID-10 array the better performance, but will losing 4 drives to dedicate them to the transaction logs give us more performance. 12-drives in RAID-10 plus one hot spare. OR 8-drives in RAID-10 for database and 4-drives RAID-10 for transaction logs plus 2 hot spares (one for each array). We have 14-drive slots to work with and it's an older PowerVault that doesn't support global hot spares.

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  • Read only array, deep copy or retrieve copies one by one? (Performance and Memory)

    - by Arthur Wulf White
    In a garbage collection based system, what is the most effective way to handle a read only array if such a structure does not exist natively in the language. Is it better to return a copy of an array or allow other classes to retrieve copies of the objects stored in the array one by one? @JustinSkiles: It is not very broad. It is performance related and can actually be answered specifically for two general cases. You only need very few items: in this situation it's more effective to retrieve copies of the objects one by one. You wish to iterate over 30% or more objects. In this cases it is superior to retrieve all the array at once. This saves on functions calls. Function calls are very expansive when compared to reading directly from an array. A good specific answer could include performance, reading from an array and reading indirectly through a function. It is a simple performance related question.

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  • Performance problems when running Java desktop applications on Citrix Metaframe

    - by demetriusnunes
    We have a desktop Java application running within a Citrix Metaframe server farm and the performance, specially while starting up the app, is very unreliable. Sometimes it takes 15 seconds and sometimes it takes over a minute. It's really unpredicatable. Is there any way to optimize running Java desktop applications within Citrix Metaframe Terminal server sessions to a more reliable performance level? Are there any optimization directed specifically toward Java, such as pre-load JVMs or something like that? Any help would be greatly appreciated.

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