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  • HP DL185 - very slow disk read speed

    - by fistameeny
    Hi, I have a HP DL185 G6 Server (12 disk model) with the following spec: Quad Core Xeon 2.27GHz 6GB RAM HP P212 RAID controller with battery backup 2 x 128GB 15K SAS 3.5" (RAID-1 for the operating system) 4 x 750GB 7.5K SAS 3.5" (RAID-5 for the data, 2TB usable space) The operating system is Ubuntu Server 9.10. Both drives have been formatted as EXT4. We are finding that read speed of the RAID-5 array is poor. Disk test results below: sudo hdparm -tT /dev/cciss/c0d1p1 /dev/cciss/c0d1p1: Timing cached reads: 15284 MB in 2.00 seconds = 7650.18 MB/sec Timing buffered disk reads: 74 MB in 3.02 seconds = 24.53 MB/sec For info, the RAID-1 array performs as follows: sudo hdparm -tT /dev/cciss/c0d0p1 /dev/cciss/c0d0p1: Timing cached reads: 15652 MB in 2.00 seconds = 7834.26 MB/sec Timing buffered disk reads: 492 MB in 3.01 seconds = 163.46 MB/sec We thought this was because with no battery, read/write cache is disabled. We have bought and installed the battery backup and have used the HP bootable CD to change the cache settings to 50% read / 50% write and check cache is enabled on the drives and the controller. Is there something I'm missing?

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  • Justifying a memory upgrade, take 2

    - by AngryHacker
    Previously I asked a question on what metrics I should measure (e.g. before and after) to justify a memory upgrade. Perfmon was suggested. I'd like to know which specific perfmon counters I should be measuring. So far I got: PhysicalDisk/Avg. Disk Queue Length (for each drive) PhysicalDisk/Avg. Disk Write Queue Length (for each drive) PhysicalDisk/Avg. Disk Read Queue Length (for each drive) Processor/Processor Time% SQLServer:BufferManager/Buffer cache hit ratio What other ones should I use?

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  • IIS7 ASP.NET application - 2 identical apps in 2 identical app pools, 1 is responsive and 1 is not

    - by Ben
    I have an ASP.NET (v4.0) web app that is installed in a virtual directory (as an application) and is hosted in it's own app pool. This is repeated for each instance of the app (i.e. per customer). The app pools are integrated (not classic) mode and LoadUserProfile is set to true. Otherwise, default settings. Each instance currently has it's own copy of the code/config, and it's own data folder (basic file read/writes). 1 instance of this app runs well (operation used for comparison takes ~4 seconds). Every other instance runs slowly (from 10-25 seconds for the same operation). If I move the slower instance to the "fastest" app pool that instance springs to life. If I move the faster instance into the slower app pool that instance slows to a crawl. The app pools were created in the same way initially - manually. I later used the powershell copy routine to ensure an exact copy of the faster app pool and still the same behaviour. Comparing the apppool.config files shows they are identical barring the virtual directory assignments. There are no shared resources that are being blocked, so far as I can tell, and I tested that by shutting down the performant app pool and restarting... slow is still slow, and then when I restart that app pool (so it's loaded last) it's still faster...

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  • Spiceworks SQL Monitor cant authenticate

    - by user11457
    I have SpiceWorks 4.7, installed and added the sql monitor extension to monitor our SQL servers. It does identify our sql servers correctly, but when I put the login information in it can't authenticate, with the following error message. Authentication failed. Check the login and password, and ensure that the server is configured for remote connections. I get the same result trying to use windows authentication. WE do use an alternate port# could this be the problem?

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  • Why can't get more speed on iperf on windows xp

    - by SledgehammerPL
    I test my bandwith and throughput using iperf (jperf) on desktop PC with WinXP. I can't get more than 3Mbit/s outside until I change TCP Window size - about 84Kb is ok. but I can't force XP to use this value by default.. I try very many magic spells on Registry, use many TCP Optimisers - but nothing works. I will accept that that everything is ok, when I reboot the PC, run iperf and will see 18.1Mbit - like my Linux box standing very near my Windows XP Box. Is it possible?

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  • Why is a single thread spread across CPU's?

    - by Marcus Lindblom
    I'm just curious why the scheduler constantly moves an app between CPUs, rather than keeping it on one. It looks a bit silly to have 4 cores at 25% rather than one at 100%. Does it has to do with heat, or is it more efficient somehow? Do other OS's do it differently? Insights or links to in-depth stuff would be nice. (Couldn't find much myself.) Update: By "spread out" I don't mean that it executes on several cpu's at once, but is being moved from one to the other several times per second, making the effect that it looks spread out.

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  • How to set the request start time with HAProxy?

    - by Tupy
    I would like to measure the time of full request stack. The New Relic capture time of the middleware (e.g. java, python, ruby) and request time (See https://newrelic.com/docs/features/tracking-front-end-time). For this, I need to configure the X-Request-Start header as the request pass through the HAProxy load balance. The haproxy.cfg should look like: backend www balance roundrobin mode http reqadd "X-Request-Start" UNKNOWN_TIME_FUNCTION() server servername 192.168.0.1:80 weight 1 check There is a haproxy native function to replace the UNKNOWN_TIME_FUNCTION()?

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  • MongoDB: ReplicaSet slower than a corresponding Master/Slave config

    - by SecondThought
    Is it true that a mongoDB configured as a replicaset (lets say two nodes + an arbiter) will always be slower than the same DB and server specs but configured as a Master? I've run some tests and found out that for a fresh DB, RS is a little quicker than Master/Slave config but when the DB is getting bigger than ~100k records the latter is getting much snappier. am I missing something here? PS: I was testing it with mongoid driver for ruby.

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  • Monitoring tools that can take high rate and high volume?

    - by Jon Watte
    We're using Cacti with RRDTool to monitor and graph about 100,000 counters spread across about 1,000 Linux-based nodes. However, our current setup generally only gives us 5-minute graphs (with some data being minute-based); we often make changes where seeing feedback in "near real time" would be of value. I'd like approximately a week of 5- or 10-second data, a year of 1-minute data, and 5 years of 10-minute data. I have SSD disks and a dual-hexa-core server to spare. I tried setting up a Graphite/carbon/whisper server, and had about 15 nodes pipe to it, but it only has "average" for the retention function when promoting to older buckets. This is almost useless -- I'd like min, max, average, standard deviation, and perhaps "total sum" and "number of samples" or perhaps "95th percentile" available. The developer claims there's a new back-end "in beta" that allows you to write your own function, but this appears to still only do 1:1 retention (when saving older data, you really want the statistics calculated into many streams from a single input. Also, "in beta" seems a little risky for this installation. If I'm wrong about this assumption, I'd be happy to be shown my error! I've heard Zabbix recommended, but it puts data into MySQL or some other SQL database. 100,000 counters on a 5 second interval means 20,000 tps, and while I have an SSD, I don't have an 8-way RAID-6 with battery backup cache, which I think I'd need for that to work out :-) Again, if that's actually something that's not a problem, I'd be happy to be shown the error of my ways. Also, can Zabbix do the single data stream - promote with statistics thing? Finally, Munin claims to have a new 2.0 coming out "in beta" right now, and it boasts custom retention plans. However, again, it's that "in beta" part -- has anyone used that for real, and at scale? How did it perform, if so? I'm almost thinking about using a graphing front-end (such as Graphite) and rolling my own retention backend with a simple layer on top of mmap() and some stats. That wouldn't be particularly hard, and would probably perform very well, letting the kernel figure out the balance between frequency of flushing to disk and process operations. Any other suggestions I should look into? Note: it has to have shown itself able to sustain the kinds of data loads I'm suggesting above; if you can point at the specific implementation you're referencing, so much the better!

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  • setup lowcost image storage server with 24x SSD array to get high IOPS?

    - by Nenad
    I want to build let's name it a lowcost Ra*san which would host for our social site the images (many millions) we have 5 sizes of every photo with 3 KB, 7 KB, 15 KB, 25 KB and 80 KB per Image. My idea is to build a Server with 24x consumer 240 GB SSD's in Raid 6 which will give me some 5 TB Disk space for the photo storage. To have HA I can add a 2nd one and use drdb. I'm looking to get above 150'000 IOPS (4K Random reads). As we mostly have read access only and rarely delete photos i think to go with consumer MLC SSD. I read many endurance reviews and don't see there a problem as long we don't rewrite the cells. What you think about my idea? - I'm not sure between Raid 6 or Raid 10 (more IOPS, cost SSD). - Is ext4 OK for the filesystem - Would you use 1 or 2 Raid controller, with Extender Backplane If anyone has realized something similar i would be happy to get Real World numbers. UPDATE I have buy 12 (plus some spare) OCZ Talos 480GB SAS SSD Drive's they will be placed in a 12-bay DAS and attached to a PERC H800 (1GB NV Cache, manufactured by LSI with fastpath) Controller, I plan to setup Raid 50 with ext4. If someone is wondering about some benchmarks let me know what you would like to see.

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  • How does MySQL 5.5 and InnoDB on Linux use RAM?

    - by Loren
    Does MySQL 5.5 InnoDB keep indexes in memory and tables on disk? Does it ever do it's own in-memory caching of part or whole tables? Or does it completely rely on the OS page cache (I'm guessing that it does since Facebook's SSD cache that was built for MySQL was done at the OS-level: https://github.com/facebook/flashcache/)? Does Linux by default use all of the available RAM for the page cache? So if RAM size exceeds table size + memory used by processes, then when MySQL server starts and reads the whole table for the first time it will be from disk, and from that point on the whole table is in RAM? So using Alchemy Database (SQL on top of Redis, everything always in RAM: http://code.google.com/p/alchemydatabase/) shouldn't be much faster than MySQL, given the same size RAM and database?

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  • Large keepalive_requests values are severely slowing-down Nginx

    - by Gil
    When running a bacon (43-byte transparent pixel) load test on Nginx, we have tried several keepalive_requests values (from 10 to 100,000) and the optimal value seems to be 10. Here are the server HTTP headers of this tiny reply: HTTP/1.1 200 OK Server: nginx/1.5.6 Date: Wed, 23 Oct 2013 12:39:45 GMT Content-Type: image/gif Content-Length: 43 Last-Modified: Mon, 28 Sep 1970 06:00:00 GMT Connection: keep-alive Nginx is twice slower with keepalive_requests 100000 than with keepalive_requests 10. Can you help understanding that result? Or tell what we do wrong? For reference, here is the nginx.conf file.

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  • What steps to take in resolving/fixing/optimizing a long boot, with possible looping errors as the culprit

    - by Tchalvak
    So my boot time has been slowing and slowing as time has gone on... I am running a number of services (e.g. apache/mysql, postgresql), but it has seen a drastic slowing lately, while I've only been applying updates as normal. I happened to check out my /var/log/boot.log and it is spammed with many lines of this: init: upstart-udev-bridge main process (2738) terminated with status 1 init: upstart-udev-bridge main process ended, respawning I wasn't able to find any solutions to that issue in google, or much talk of it at all, and I'm not really certain that error is the problem, but it is the only lead that I have. What steps should I go through to diagnose boot problems/a slow bootup?

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  • How To Troubleshoot Excess Time From Connect to First Byte?

    - by Gaia
    I measured load times for a wordpress 2.9.2 install on apache 2.2.3 and I was intrigued by the long periods between connect and first byte for the css and image files. Load Average is 0.0, 0.0, 0.0 and there are 150MB free RAM on the VPS. Pingdom results are at http://imagebin.ca/img/6UaiOU.png How do I gain insight into the possible causes of this problem and how would I troubleshoot it? Thanks

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  • Linux server became extremely slow

    - by Ariel Aharonson
    I have a file sharing website, and my files hosted in a server with those system specifications: 32GB RAM 12x3TB 2x Intel Quad Core E5620 I have files in this server up to 4gb for each file. 446gb is full (/36TB) [root@hosted-by ~]# df -h Filesystem Size Used Avail Use% Mounted on /dev/sda2 50G 2.7G 44G 6% / tmpfs 16G 0 16G 0% /dev/shm /dev/sda1 97M 57M 36M 62% /boot /dev/mapper/VolGroup01-LogVol00 33T 494G 33T 2% /home And take a look at this: Why is the wa% so high? (I think that what makes the server to be so slow)

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  • How to fix audio/game stuttering in Google Chrome's Flash plug-in?

    - by Simon Belmont
    I'm having an issue. Windows XP, running the latest Chrome 23 build. I'm using Flash 11.5 built into Chrome (Pepper Flash). It runs horribly. Chrome 22 did not have this issue as far as I recall. What a shame. YouTube videos stutter badly and after a while, they begin to lag and lose sync with the video. I disabled Pepper Flash and tested HTML5 video in YouTube and it was smooth as glass. Additionally, certain Flash based games are almost unusable now. The plug-in is using 100% CPU and it lags horribly in these games. Google/Adobe, please fix this. I shouldn't have to disable the built-in Flash plug-in (with added sandboxing security) and use regular Flash to resolve this. Short of waiting for an update to Chrome, does anyone have a better solution to fixing this? I am all ears.

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  • Client-based program to track response time for online webservice

    - by Søren Haagerup
    I am helping a customer with general IT support, and they have a problem with a hosted web-based system being slow. The provider of the system blames the client's computer, and the client calls me for help. I blame the provider, but it is hard to get them to do something about it without rock-solid evidence. And every time the provider comes around for a TeamViewer session, everything of course runs smoothly. Does there exist a client program or browser plugin that tracks statistics about response time for specific web services?

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  • What should be monitored to troubleshoot file sharing problems?

    - by RyanW
    I'm running into some problems with a file share used by an ASP.NET web application. With this configuration, there are 2 web servers (win2k8 web) that connect to a file server (win2k8 enterprise), reading and writing files using a file share. Recently, one of the web servers has begun encountering an error accessing the file share: IOException: The specified network name is no longer available. There does not appear to be much info on the web for explaining what's causing this and how to best fix it, so I'm looking at what I can monitor in order to get clues. I'm not sure if it's hardware, just a load issue, file size, frequency, etc. With Windows perfmon, what can I monitor on the File Server side? There's the "Files Open" object, any other good ones? What can I monitor on the web server side? EDIT: I'll add that the UNC path uses the IP address of the file server, not a name to resolve. Also the share is a single, flat directory with over 100K files.

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  • Why is MySQL table_cache full but never used

    - by Jeremy Clarke
    I have been using the tuning-primer.sh script to tune my my.cnf settings. I have most things working well but the part about TABLE CACHE makes no sense: TABLE CACHE Current table_cache value = 900 tables. You have a total of 0 tables You have 900 open tables. Current table_cache hit rate is 1% , while 100% of your table cache is in use. You should probably increase your table_cache When I do SHOW STATUS; I get the following table-related numbers: Open_tables = 900 Opened_tables = 0 It seems like something is going wrong. I have some extra memory I could use on increasing the table_cache size, but my sense is that the 900 tables already available aren't doing anything, and increasing it will just waste more energy. Why might this be happening? Are there other settings that could cause all my table_cache slots to be used even though there are no hits to them? I have 150 max connections and probably no more than 4 tables per join, FWIW. Here is the tuner script output for temp tables, which I've also been tuning: TEMP TABLES Current max_heap_table_size = 90 M Current tmp_table_size = 90 M Of 11032358 temp tables, 40% were created on disk Perhaps you should increase your tmp_table_size and/or max_heap_table_size to reduce the number of disk-based temporary tables. Note! BLOB and TEXT columns are not allow in memory tables. If you are using these columns raising these values might not impact your ratio of on disk temp tables.

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  • scp vs netatalk, samba, and/or vsftpd with External USB drive

    - by KitsuneYMG
    I set up a ubuntu server machine to share an ext2 formatted external usb drive. When attempting to copy a single 275MB files from said device through netatalk, I get estimated download rates at around 45 min. With samba and ftp (using vsftpd) I get 1+ hours! Using scp to copy the file results in complete download within 5 minutes. Another option, ssh+cp from external device to ~ and then using netatalk to grab it from there results in a total time of arounf 7 minutes. Does anyone have a clue what is misconfigured? Assuming that nothing is, is there any fs/pseudo-fs that would use the internal hdd as an intermediate location/onion-layer for the external hdd (for reads only)? Details: AppleVolumes.default: /mnt/ext USB allow:username cnidscheme:cdb options:usedots,upriv

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  • On Mac OS X how can I monitor what is using my internet connection?

    - by Jon Hopkins
    I've got a relatively limited broadband connection (I live miles from the nearest exchange) and from time to time net access (but nothing else) slows to a near crawl. I know from a bit of monitoring software that the connection is being fairly heavily used which would explain it but I don't know what's using it. There are certainly plenty of things which might (these days there are dozens of apps that will either regularly or infrequently check data or download updates) but how can I find out? I'm happy to pay (a small amount of) money if needed, though in that case I'd rather it were a recommendation that me just Googling for something.

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  • Multiple columns in a single index versus multiple indexes

    - by Tim Coker
    The short version of my question is what's the difference between three indexes each indexing a single column and one index indexing three columns. Background follows. I'm primarily a programmer but have to do DBA work because we don't have a DBA. I'm evaluating our indexes versus the queries run against a particular table. The table as 3 columns that I'm often filtering against or getting the max value of. Most of the time the queries look like select max(col_a) from table where col_b = 'avalue' or select col_c from table where col_b = 'avalue' and col_a = 'anothervalue' All columns are independently indexed. My question is would I see any difference if I had an index that indexed col_b and col_a together since they can appear in a where clause together?

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