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  • Is it better to use preprocessor directive or if(constant) statement?

    - by MByD
    Let's say we have a codebase that is used for many different costumer, and we have some code in it that relevant only for costumers of type X. Is it better to use preprocessor directives to include this code only in costumer of type X, or to use if statement, to be more clear: // some code #if TYPE_X_COSTUMER = 1 // do some things #endif // rest of the code or if(TYPE_X_COSTUMER) { // do some things } The arguments I can think about are: Preprocessor directive results in smaller code footprint and less branches (on non-optimizing compilers) If statements results with code that always compiles, e.g. if someone will make a mistake that will harm the irrelevant code for the project he works on, the error will still appear, and he will not corrupt the code base. Otherwise he will not be aware of the corruption. I was always been told to prefer the usage of the processor over the usage of the preprocessor (If this is an argument at all...) What is preferable - when talking about a code base for many different costumers?

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  • Are we queueing and serializing properly?

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

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  • Is Google Analytics safe for websites that deal with sensitive information?

    - by guanome
    I work for a company that writes several webapps that deal with a lot of sensitive information, such as full name, date of birth, address, and SSNs. Currently we don't have anything to measure site usage, but I would like to use Google Analytics to track usage and statistics about our users. What data is sent to Google when you use Analytics? If I put this on a page that contains any of the above information, will that data be sent to Google? Or are they just getting the necessary information like user agent and IP address?

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  • Run two shell file with thread

    - by user1149157
    How i can run two file shell in parallel and do not shared the same jvm. may be i use thread but how i run two file shell bu two thread ? File 1: #!/bin/bash # # Script for running several experimentations one the same JVM # Usage : TRACE_DIR NB_EXPE Factories... # param="parameter1" another="parameter2" for ((i = 10; i >= 0; i -= 1)) do echo "run my file with param another " done File 2 : #!/bin/bash # # Script for running several experimentations one the same JVM # Usage : TRACE_DIR NB_EXPE Factories... # a="101" b="400" c="500" echo "run my programme with a b c "

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  • Memory leak in Google Chrome

    - by jasondavis
    As a developer it is very common for me to have 2-3 different IDE's open, 10-15 google chrome windows which can hold up to 200 open tabs (I know I get out of hand some times), Photoshop, couple twitter bots for promo, and a few other programs but my system still runs fast and smooth. I have an i7 processor with 12gb ram. Now with all my usual stuff running my Physical memory is usually running around 50-60% however over the course of the day or much less even, I will gradually grow to 98% The highest Memory usage processes will be from Google Chrome, if I sort in the task manager by highest memory usage and end the 1 highest process which will be a google chrome one, my memory usage will jump back down to about 60%. Also by ending that 1 process, all my Chrome windows will remain open and in use, so it doesn't affect me at all by ending that process. Based on this research I am assuming that that 1 runaway process is likely the Adobe Flash as I also can say that it gets up to the 98% much faster when I am using flash items like video or music player. But even without using any of them it will still climb up to that high number eventually. Has anyone else experienced similar results?

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  • Max. Bandwidth Cannot be Reached

    - by Poyraz Sagtekin
    I have a question regarding the bandwidth usage. I don't think it's a very technical question but I really want to know the reason behind the problem. I'm having my education in one of my university's campuses. There is a 200mbps bandwidth availability for approx. 2100 students. Our main campus has 25,000 students and 2gbps bandwidth and there is no problem with the internet connection speed in main campus. However, in my campus, we are having difficulties with the internet connection speed. I went to IT department of my university and they've showed me some graphics about the bandwidth usage. The usage of the bandwidth has never reached 200mbps and it generally is around 130-140mbps. According to this information, maximum bandwidth is never made by the users but the browsing speed is not very convincing. What can be the problem? Maybe this is a silly question but I really want to know the reason. They told me that they've reached 180mbps before.

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  • Very slow write performance on Debian 6.0 (AMD64) with DMCRYPT/LVM/RAID1

    - by jdelic
    I'm seeing very strange performance characteristics on one of my servers. This server is running a simple two-disk software-RAID1 setup with LVM spanning /dev/md0. One of the logical volumes /dev/vg0/secure is encrypted using dmcrypt with LUKS and mounted with the sync and noatimes flag. Writing to that volume is incredibly slow at 1.8 MB/s and the CPU usage stays near 0%. There are 8 crpyto/1-8 processes running (it's a Intel Quadcore CPU). I hope that someone on serverfault has seen this before :-(. uname -a 2.6.32-5-xen-amd64 #1 SMP Tue Mar 8 00:01:30 UTC 2011 x86_64 GNU/Linux Interestingly, when I read from the device I get good performance numbers: reading without encryption: $ dd if=/dev/vg0/secure of=/dev/null bs=64k count=100000 100000+0 records in 100000+0 records out 6553600000 bytes (6.6 GB) copied, 68.8951 s, 95.1 MB/s reading with encryption: $ dd if=/dev/mapper/secure of=/dev/null bs=64k count=100000 100000+0 records in 100000+0 records out 6553600000 bytes (6.6 GB) copied, 69.7116 s, 94.0 MB/s However, when I try to write to the device: $ dd if=/dev/zero of=./test bs=64k 8809+0 records in 8809+0 records out 577306624 bytes (577 MB) copied, 321.861 s, 1.8 MB/s Also, when I read I see CPU usage, when I write, the CPU stays at almost 0% usage. Here is output of cryptsetup luksDump: LUKS header information for /dev/vg0/secure Version: 1 Cipher name: aes Cipher mode: cbc-essiv:sha256 Hash spec: sha1 Payload offset: 2056 MK bits: 256 MK digest: dd 62 b9 a5 bf 6c ec 23 36 22 92 4c 39 f8 d6 5d c1 3a b7 37 MK salt: cc 2e b3 d9 fb e3 86 a1 bb ab eb 9d 65 df b3 dd d9 6b f4 49 de 8f 85 7d 3b 1c 90 83 5d b2 87 e2 MK iterations: 44500 UUID: a7c9af61-d9f0-4d3f-b422-dddf16250c33 Key Slot 0: ENABLED Iterations: 178282 Salt: 60 24 cb be 5c 51 9f b4 85 64 3d f8 07 22 54 d4 1a 5f 4c bc 4b 82 76 48 d8 a2 d2 6a ee 13 d7 5d Key material offset: 8 AF stripes: 4000 Key Slot 1: DISABLED Key Slot 2: DISABLED Key Slot 3: DISABLED Key Slot 4: DISABLED Key Slot 5: DISABLED Key Slot 6: DISABLED Key Slot 7: DISABLED

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  • Automatically Kill/Restart Process(es) When Memory is Critically Low

    - by nemesisfixx
    I have a Debian Wheezy VPS box where am running a couple of Django apps in production. Ideally, would have tried addressed my current memory footprint issues by optimizing the apps, adding more RAM or augmenting with Swap. But the problem is that I doubt there's much memory optimization I'd milk from optimizing the Django apps (the stack being open-source and robust), and adding RAM is a cost constraint for me (this is a remote VPS), also, the host doesn't offer options to use Swap! So, in the meantime (as I wait to secure more resources to afford more RAM), I wish to mitigate the scenarios where the server runs out memory so that I just have to request a VPS restart (as in, at that point, I can't even SSH into the box!). So, what I would love in a solution is the ability to detect when a process (or generally, total system memory usage) exceeds a certain critical amount (for now, example the FREE RAM falls to say 10%) - which I've noticed occurs after the VPS's been up for long, and when also traffic is suddenly much to some of the heavy apps (most are just staging apps anyway). So, I wish to be able to kill/restart the offending process(es) - most likely Apache. Which solution when done manually in these situations has restored sane memory usage levels - a hint that possibly one or more of the Django apps has a memory leak? In brief: Monitor overall system RAM usage When FREE RAM falls below a given critical threshold (say below 10%), kill/restart the offending process(es) - or simpler, if we assume from my current log analysis (using linux-dash) that Apache is often the offender, then kill/restart it. Rinse and repeat...

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  • 16TB Volumes and SNMP On Windows

    - by John K
    As volumes larger than 16TB became more common, it was recognized that the 32 bit value used to report disk size and usage within the standard "HOST-RESOURCES" MIB in SNMP was not large enough to report the proper disk size. Net-SNMP seems to have addressed this issue by simply manipulating the value of "AllocationUnits" to maintain a 32 bit value for disk utilization (since total disk size/usage is equal to the 32 bit space value times the allocation unit), to allow for the calculation of a volume larger than 8/16TB. Presuming you don't have any reporting interest in the allocation unit, this seems like a fine solution. https://bugzilla.redhat.com/show_bug.cgi?id=654384 Window's built in SNMP service, however, seems to continue to suffer from this error, simply reporting the modulo of the used/assigned disk space, resulting in inaccurate disk size reporting. Is there a way to enable Windows to correctly report disk usage for volumes over 16TB? We attempted to simply install Net-SNMP 5.5 x64 and disable Windows SNMP service entirely, however this unfortunately did not fix our issue. I've seen people in the Cacti community mention simply scripting out a solution. Unfortunately, we're using Observium for quick and basic systems monitoring. If the issue can't be correct on the Window's side, can Observium be made to report custom MIBs?

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  • Debugging a Drobo that chokes Windows 7x64 When Plugged In

    - by Pridkett
    I've had a love hate relationship with my Drobo for a long time. After two years of using it on a Linux box, I moved it over to a Windows 7 machine where it seemed to work just fine for a long time, but it was under very light usage. Mainly backups that never actually happened. Recently I began using it for additional backup services (through CrashPlan, which is great). This means the Drobo gets a lot more usage. Also it means that something interesting happens, the Drobo can choke my system on startup. Here's what I mean: Start computer without Drobo plugged in, CrashPlan and Drobo Dashboard services disabled: 105s Start computer with Drobo plugged in Crashplan disabled, Drobo Dashboard enabled: 250s (and 1 cpu at 100% for a very long time, drobo churning) Start computer with Drobo plugged in, CrashPlan and Drobo Dashboard disabled: 250s (1 cpu at 100% for a very long time, drobo churning) Start computer with Drobo plugged in, Crashplan and Drobo Dashboard enabled: 300s (1 cpu at 100% for a very long time, drobo churning) If I yank the USB plug on the Drobo the CPU usage goes down to nothing very quickly. The slow startup in the fourth scenario is because CrashPlan is trying desperately to load stuff up on the H: drive before it gives up, so I've disabled it for the time being. So here's my question: What the heck is going on when I plug the drobo in? I've fired up Process Explorer and see that the System process is hogging the CPU, specifically it's an ntoskrnl.exe/KdPollBreakIn thread that's going ape. Is this something that's wrong with Drobo? Windows? Any idea on how to find out? If it matters, here's tech info: Athlon 64x2 4400, 2GB RAM, Win7 Ultimate, Drobo USB (2x1TB, 2x320GB)

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  • Unexplained cache RAM drops on Linux machine

    - by FunkyChicken
    I run a CentOS 5.7 64 machine with 24gb ram and running kernel 2.6.18-274.12.1.el5. This machine runs only Nginx, php-fpm and Xcache as extra applications. Since about 3 weeks my memory behavior on this machine has changed and I cannot explain why. There are no crons running which flush anything like this. There are also no large numbers of files being deleted/changed during these drops. The 'cached' memory gets dropped about every few hours, but it's never a set gap between flushes, this indicates to me that some bottleneck gets reached instead. It also always seems to be when total memory usages gets to about 18GB, but again, not always exactly 18GB. This is a graph of my memory usage: As you can see in the graph the 'buffers' always stay more or less the same, it is mainly the 'cache' that gets dropped. Running vmstat -m I have outputted the memory usage just before and just after a memory drop. The output is here: http://pastebin.com/diff.php?i=hJqZqztm 'old version' being before, 'new version' being after a drop. About 3 weeks ago my server crashed during a heavy DDOS attack, after I rebooted the machine this odd behavior started. I have checked a bunch of logs, restarted the machine again, and cannot find any indication what changed. During these 'cache' memory drops, my iNode usage drops at the same time. Does anyone have any idea what might be causing this behavior? Clearly my RAM isn't full, so I am curious why this could be happening.

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  • Help, my CentOS servers keep going down , No route to host after a random uptime

    - by user249071
    Hello , I have a couple of Centos linux servers, that have a very simple task, they run nginx + fastcgi for php , and some NFS mounts between them, readonly They have some RPC commands to start some downloading processes with wget, nothing fancy , from a main server, but their behavior is very unstable, they simply go down, we tried to monitor ram , processor usage, even network connections, they don't load up so much, max network connections up to... 250 max, 15% processor usage and memory , well, doesn't even fill up, 2.5GB from 8GB max , I have no ideea why can a linux server go down like that, they aren't even public servers, no domain names installed no public serving, for sites. The only thing that I've discovered was that if i didn't restart the network service every couple of hours or so... the servers were becoming very slow, starting apps very slow, but not repoting a high usage of resources...Maybe Centos doesn't free the timeout connections, or something like that...It's based on Red Hat right? I'm not a linux expert , but I'm sure that there are a few guys out there that can easily have an answer to this , or even have some leads to what i can do ... I haven't installed snort, or other things to view if we have some DOS attacks, still the scheduled script that restarts the network each hour should put the system back online, and it doesn't.... Thank you in advance

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  • Macros in Excel 2010 hangs

    - by Ahmad
    I have a spreadsheet with several macros. Generally, when previously using Excel 2007, a user clicks a button and everything works as expected (calculations, some email sending & file I/O). Typically, the expected run-time is about 90 seconds. The spreadsheet is a xlsm file created with Excel 2007. With Excel 2010 however, the same user process results in a non-responsive excel and forces us to kill excel from the task manager. Some note that I have gathered so far in trying to debug this issue: When monitoring CPU usage, it seems that Excel does start the macro. CPU usage increases as expected to about 47% for a few seconds. Excel.exe than drops to 0% usage and I now have a non-responsive Excel (even after 1 hour). If I set debug break points across modules and different functions and step through the code (after clicking the button) , the process works as expected albeit much slower. To add, there were no exceptions. I am at a complete loss as to what the issue may be. I initially thought it may be the add in that is being used but that was debunked by point 2. This seems to be a very odd situation. I can provide more information if required, but I'm at wits end about the root cause could be. I need help in diagnosing and resolving this issue.

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  • Server slowdown

    - by Clinton Bosch
    I have a GWT application running on Tomcat on a cloud linux(Ubuntu) server, recently I released a new version of the application and suddenly my server response times have gone from 500ms average to 15s average. I have run every monitoring tool I know. iostat says my disks are 0.03% utilised mysqltuner.pl says I am OK other see below top says my processor is 99% idle and load average: 0.20, 0.31, 0.33 memory usage is 50% (-/+ buffers/cache: 3997 3974) mysqltuner output [OK] Logged in using credentials from debian maintenance account. -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.1.63-0ubuntu0.10.04.1-log [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: +Archive -BDB -Federated +InnoDB -ISAM -NDBCluster [--] Data in MyISAM tables: 370M (Tables: 52) [--] Data in InnoDB tables: 697M (Tables: 1749) [!!] Total fragmented tables: 1754 -------- Security Recommendations ------------------------------------------- [OK] All database users have passwords assigned -------- Performance Metrics ------------------------------------------------- [--] Up for: 19h 25m 41s (1M q [28.122 qps], 1K conn, TX: 2B, RX: 1B) [--] Reads / Writes: 98% / 2% [--] Total buffers: 1.0G global + 2.7M per thread (500 max threads) [OK] Maximum possible memory usage: 2.4G (30% of installed RAM) [OK] Slow queries: 0% (1/1M) [OK] Highest usage of available connections: 34% (173/500) [OK] Key buffer size / total MyISAM indexes: 16.0M/279.0K [OK] Key buffer hit rate: 99.9% (50K cached / 40 reads) [OK] Query cache efficiency: 61.4% (844K cached / 1M selects) [!!] Query cache prunes per day: 553779 [OK] Sorts requiring temporary tables: 0% (0 temp sorts / 34K sorts) [OK] Temporary tables created on disk: 4% (4K on disk / 102K total) [OK] Thread cache hit rate: 84% (185 created / 1K connections) [!!] Table cache hit rate: 0% (256 open / 27K opened) [OK] Open file limit used: 0% (20/2K) [OK] Table locks acquired immediately: 100% (692K immediate / 692K locks) [OK] InnoDB data size / buffer pool: 697.2M/1.0G -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Enable the slow query log to troubleshoot bad queries Increase table_cache gradually to avoid file descriptor limits Variables to adjust: query_cache_size (> 16M) table_cache (> 256)

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  • How to better copy&paste big files over RDP?

    - by WebMAOhist
    Recently I was making a few attempts to copy&paste a big (1.2 GB) file to remote computer over RDP. The remote computer is virtual testing machine with MS Windows Server 2008 Datacenter. First I tried to copy&paste before midnight when the transfer speed was limited by client computer ISP to 100 kB/s. So, it required a few hours and I was forced to cancel transfer since remote desktop became too unresponsive and sluggish (slow). So, I re-started it over midnight when my local transfer speed is over 4 GB/s 4MB/s (sorry for typo). So, my impression is that independently on speed (broadband) of copy&paste transfer the remote computer becomes sluggish while copying over RDP. At the same time downloading from internet doesn't make remote host sluggish. AFAIU, it is because clipboard of remote computer and so its memory becomes overloaded by transfer. How can I control (restrict) the usage of clipboard for specific process (pasting of file)? What are the possible way to control it? Update: After reading that slow speed of transfer is caused by encryption used for copy&pasting over RDP and since I believe I am more interested in overall efficiency: both the time, or rapidness, of getting file as well as possibility to work without waiting, I changed the question title from: How to control the usage of remote desktop clipboard usage for pasting a big file? to How to better copy&paste big files over RDP? For example, is it better to copy&paste one huge (zip) archive or unzip it and copy paste a folder with unzipped files? And more exactly I wanted to ask: What are possible ways to improve overall experience: the speed of transfer (i.e. availability of needed file) responsiveness of remote host (making remote coputer available for work before completion of copy&pasting)?

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  • Ubuntu: Memory Leak

    - by Keener
    I'm having trouble finding from where this memory leak is occurring. I'm running Ubuntu 8.04 LTS on a Dell XPS M1530. I have 3GB of ram and I'm finding after about an hour or so of use top shows me 2GBs+ used. The strange thing is when I add up the memory percentages by PID either from top or ps aux I find that I should only be using about 20-25% of my available ram. What brought this to my attention was I've begun running vmware server again. Now, obviously the ram usage spikes when I load a virtual machine, but the memory VMware is using does not account for the memory usage I'm seeing via top or free. Stopping vmware server releases the memory which was allocated to it, but I'm still unable to find where this RAM is being used. After a complete reboot, of course, the memory is fine, but very quickly it climbs to 60-80% usage with the processes only appearing to account for a third of that. Any ideas where I should look for more information on what this could be?

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  • MysqlTunner and query_cache_size dilemma

    - by wbad
    On a busy mysql server MySQLTuner 1.2.0 always recommends to add query_cache_size no matter how I increase the value (I tried up to 512MB). On the other hand it warns that : Increasing the query_cache size over 128M may reduce performance Here are the last results: >> MySQLTuner 1.2.0 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.5.25-1~dotdeb.0-log [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: +Archive -BDB -Federated +InnoDB -ISAM -NDBCluster [--] Data in InnoDB tables: 6G (Tables: 195) [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17) [!!] Total fragmented tables: 51 -------- Security Recommendations ------------------------------------------- [OK] All database users have passwords assigned -------- Performance Metrics ------------------------------------------------- [--] Up for: 1d 19h 17m 8s (254M q [1K qps], 5M conn, TX: 139B, RX: 32B) [--] Reads / Writes: 89% / 11% [--] Total buffers: 24.2G global + 92.2M per thread (1200 max threads) [!!] Maximum possible memory usage: 132.2G (139% of installed RAM) [OK] Slow queries: 0% (2K/254M) [OK] Highest usage of available connections: 32% (391/1200) [OK] Key buffer size / total MyISAM indexes: 128.0M/92.0K [OK] Key buffer hit rate: 100.0% (8B cached / 0 reads) [OK] Query cache efficiency: 79.9% (181M cached / 226M selects) [!!] Query cache prunes per day: 1033203 [OK] Sorts requiring temporary tables: 0% (341 temp sorts / 4M sorts) [OK] Temporary tables created on disk: 14% (760K on disk / 5M total) [OK] Thread cache hit rate: 99% (676 created / 5M connections) [OK] Table cache hit rate: 22% (1K open / 8K opened) [OK] Open file limit used: 0% (49/13K) [OK] Table locks acquired immediately: 99% (64M immediate / 64M locks) [OK] InnoDB data size / buffer pool: 6.1G/19.5G -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance Reduce your overall MySQL memory footprint for system stability Increasing the query_cache size over 128M may reduce performance Variables to adjust: *** MySQL's maximum memory usage is dangerously high *** *** Add RAM before increasing MySQL buffer variables *** query_cache_size (> 192M) [see warning above] The server has 76GB ram and dual E5-2650. The load is usually below 2. I appreciate your hints to interpret the recommendation and optimize the database configs.

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  • GPG - why am I encrypting with subkey instead of primary key?

    - by khedron
    When encrypting a file to send to a collaborator, I see this message: gpg: using subkey XXXX instead of primary key YYYY Why would that be? I've noticed that when they send me an encrypted file, it also appears to be encrypted towards my subkey instead of my primary key. For me, this doesn't appear to be a problem; gpg (1.4.x, macosx) just handles it & moves on. But for them, with their automated tool setup, this seems to be an issue, and they've requested that I be sure to use their primary key. I've tried to do some reading, and I have the Michael Lucas's "GPG & PGP" book on order, but I'm not seeing why there's this distinction. I have read that the key used for signing and the key used for encryption would be different, but I assumed that was about public vs private keys at first. In case it was a trust/validation issue, I went through the process of comparing fingerprints and verifying, yes, I trust this key. While I was doing that, I noticed the primary & subkeys had different "usage" notes: primary: usage: SCA subkey: usage: E "E" seems likely to mean "Encryption". But, I haven't been able to find any documentation on this. Moreover, my collaborator has been using these tools & techniques for some years now, so why would this only be a problem for me?

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  • Verizon overbilling me ?

    - by bek
    I have verizon air card for my internet. Which is called vz manager. I have had it for about a year. Keeping within my usage allowance the whole time until 3 months ago, when my bill came in my 5,000 g allowance was ran to 18,000. It has continued to do so through the last 3 months. My usage reset itself yesterday for the new month. I got on google for about 5 minutes and chatted for about an hour yesterday online. Mind you that I have never done anything any different then i do everyday. I do not download music or watch videos on my computer, nothing like that. Well since last night a 8 pm my usage sayd 1109.525 gb. ALREADY! For being on the internet for an hour with no downloads. What could be causing this, please thrown me some ideas. Verizon is checking on the problem, but that usually doesnt get me the answer i want. Can someone be hacking my card and using internet through it, has told me that that is not possible, however I think with the internet anytihng is possible.

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  • Growing a small hosting company [closed]

    - by user2353007
    We currently have a few servers, 1 WHM VPS (2GB), 1 MS SQL VPS (2 GB), and 1 IIS VPS (2GB). The VPS servers are doing fine as far as uptime and response times but we would like to add the following features. 1) monitoring with load statistics 2) failover I have looked a Zabbix, Zenoss, Nagios, and a couple of other cloud solutions like monitor.us and watchdog from Zerigo. Ideally for the monitoring solution. Our current hosting company suggested we get a dedicated server or VPS and install load balancing software (not sure I like that idea). I've looked into Rackspace and Amazon load balancers which seem like the most feasible solutions for load balancers. Does anybody have any input on the monitoring and load balancing products I'm looking into? Monitoring should monitor uptime as well as give reports on memory usage, disk usage, processor usage, and which processes/websites/users are responsible for the load. It would be ideal if the load balancer worked with any IP. Not sure if either Rackspace or Amazon load balancers would allow load balancing with servers outside their datacenter. Thank you.

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  • VzAccess Manager.

    - by bek
    I have verizon air card for my internet. Which is called vz manager. I have had it for about a year. Keeping within my usage allowance the whole time until 3 months ago, when my bill came in my 5,000 g allowance was ran to 18,000. It has continued to do so through the last 3 months. My usage reset itself yesterday for the new month. I got on google for about 5 minutes and chatted for about an hour yesterday online. Mind you that I have never done anything any different then i do everyday. I do not download music or watch videos on my computer, nothing like that. Well since last night a 8 pm my usage sayd 1109.525 gb. ALREADY! For being on the internet for an hour with no downloads. What could be causing this, please thrown me some ideas. Verizon is checking on the problem, but that usually doesnt get me the answer i want. Can someone be hacking my card and using internet through it, has told me that that is not possible, however I think with the internet anytihng is possible.

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  • VTD-XML Parsing Performance (speed critical factor). Requesting Feedback/Comments

    - by andreas
    Hello, I am about to use VTD-XML (found at http://vtd-xml.sourceforge.net/) but I am interested in getting real-case usage feedback, by any one that has used the library and has any comments. At the URL (http://vtd-xml.sourceforge.net/) there are benchmarks but if someone has used VTD-XML and has comments FOR it I would like to hear them. Speed is a critical factor in the application and comments after real-case usage, by developers, is what i am looking for. Regards,

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