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  • Cause of slow download speed on a particular EC2 instance?

    - by James
    I have a networking issue I'm trying to solve. I have two EC2 instances, same zone, same type. On one of the two EC2 instances (the 'bad' instance), the download speed is really poor (200k/s), while on the other (the 'good' instance), the download speed is fine, comfortable at 30M/s +). To clarify, I'm talking about downloading files to the EC2 instance while ssh'd into the server, e.g running wget with a large file. I've tried different files, including S3 objects and a large linux ISO from elsewhere. Running ethtool eth0 only returns 'Link detected: yes' for both. When running ifconfig, both return the same for most part, aside from how the good instance shows no error packets yet the bad instance shows many: UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:168372370 errors:5075643 dropped:0 overruns:0 frame:0 TX packets:122116480 errors:0 dropped:0 overruns:0 carrier:0 Both servers are configured the same, at least were supposed to be. How can I go about diagnosing the cause for the slow download speed? Is there anything particular to EC2 instances that could cause this? Having trouble knowing where to start. Thanks for any help!

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  • Best 2x 4GB RAM for a Thinkpad X200s

    - by Tommy Jakobsen
    Hi, I need 2x 4GB RAM, a total of 8GB, in my upcoming Thinkpad X200s laptop. Before buying, I would like your advice on which modules to choose. I've been looking at Corsair's Value Select (P/N: CM3X4GSD1066) RAM, because in my experience they produce good RAM modules. However, Corsair lists 7 clock cycles for their modules while Lenovo lists 5 clock cycles. What do you think? Is Lenovo modules the best choice? Are they the fastest/most stable, or is it the Corsair modules? Or modules from a third vendor? Thanks in advance!

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  • Big project layout : adding new feature on multiple sub-projects

    - by Shiplu
    I want to know how to manage a big project with many components with version control management system. In my current project there are 4 major parts. Web Server Admin console Platform. The web and server part uses 2 libraries that I wrote. In total there are 5 git repositories and 1 mercurial repository. The project build script is in Platform repository. It automates the whole building process. The problem is when I add a new feature that affects multiple components I have to create branch for each of the affected repo. Implement the feature. Merge it back. My gut feeling is "something is wrong". So should I create a single repo and put all the components there? I think branching will be easier in that case. Or I just do what I am doing right now. In that case how do I solve this problem of creating branch on each repository?

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  • One network, two macbooks, one is fast and the other is slow

    - by Brendan
    I really need help for my friend. I know next to nothing about computers. My roommate and I both have macbook pros from the same year running OS X, are both connecting wirelessly to the same xfinity wifi, and while mine runs perfectly fine, my roommate complains that his works very slowly and times out every few seconds. I can't seem to figure out why this is. He is trying to get me to switch internet providers because he is convinced that it is their problem, but this cannot possibly be the issue since it works great on mine. He has an xbox hooked up to the wifi that he says also works poorly. I really can't see switching providers given that I am experiencing absolutely zero problems. How can I help my friend?

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  • Extracting one file from archive: 7-zip requires decompressing entire archive?

    - by siikamiika
    I've noticed that when browsing an archive containing multiple files with 7-zip 9.20 Windows GUI, extracting one file for previewing takes significantly longer with .7z than .rar archives. With .7zips it also cycles through the filenames in the archive. To me it looks like decompressing the entire archive and keeping just one file. Is there a setting in 7-zip (current or beta/alpha versions) that allows RAR-like behavior?

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  • Samba PDC share slow with LDAP backend

    - by hmart
    The scenario I have a SUSE SLES 11.1 SP1 machine as Samba master PDC with LDAP backend. In one share there are Database files for a Client-Server application. I log XP and Windows 7 machines to the local domain (example.local), the login is a little slow but works. In the client computers have an executable which opens, reads and writes the database files from the server share. The Problem When running Samba with LDAP password backend the client application runs VERY SLOW with a maximum transfer rate of 2500 MBit per second. If disable LDAP the client app speed increases 20x, with transfer rate of 50Mbit/sec and running smoothly. I'm doing test with just two users and two machines, so concurrency, or LDAP size shouldn't be the problem here. The suspect LDAP, Smb.conf [global] section configuration. The Question What can I do? I've googled a lot, but still have no answer. Slow smb.conf WITH LDAP [global] workgroup = zmartsoft.local passdb backend = ldapsam:ldap://127.0.0.1 printing = cups printcap name = cups printcap cache time = 750 cups options = raw map to guest = Bad User logon path = \\%L\profiles\.msprofile logon home = \\%L\%U\.9xprofile logon drive = P: usershare allow guests = Yes add machine script = /usr/sbin/useradd -c Machine -d /var/lib/nobody -s /bin/false %m$ domain logons = Yes domain master = Yes local master = Yes netbios name = server os level = 65 preferred master = Yes security = user wins support = Yes idmap backend = ldap:ldap://127.0.0.1 ldap admin dn = cn=Administrator,dc=zmartsoft,dc=local ldap group suffix = ou=Groups ldap idmap suffix = ou=Idmap ldap machine suffix = ou=Machines ldap passwd sync = Yes ldap ssl = Off ldap suffix = dc=zmartsoft,dc=local ldap user suffix = ou=Users

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  • Use a template to get alternate behaviour?

    - by Serge
    Is this a bad practice? const int sId(int const id); // true/false it doesn't matter template<bool i> const int sId(int const id) { return this->id = id; } const int MCard::sId(int const id){ MCard card = *this; this->id = id; this->onChange.fire(EventArgs<MCard&, MCard&>(*this, card)); return this->id; } myCard.sId(9); myCard.sId<true>(8); As you can see, my goal is to be able to have an alternative behaviour for sId. I know I could use a second parameter to the function and use a if, but this feels more fun (imo) and might prevent branch prediction (I'm no expert in that field). So, is it a valid practice, and/or is there a better approach?

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  • Apache is spawning more and more processes!!

    - by erotsppa
    We have a LAMP setup that is working prety good for half a year. All of a sudden today the apache server (mysql servers are not on this box) started to die. It seems to have started to spawn more and more processes over time. Eventually it will consume all the memory and the server would just die. We are using prefork. In the mean time what we are doing is just added more ram and increased the MaxClients and ServerLimit parameter to 512. We're just prolonging the crash. The number still goes up slowly. Maybe in a day, it would reach that limit. What is going on? We only have around 15-20 request per second. We have 1Gb memory and it's not half used, there's no swapping going on. Why is apache creating more and more processes? It's almost like theres a leak somewhere! The database boxes are fine, they are not causing a delay to requests. We tested some queries everything is quick!

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  • dd oflag=direct 5x fast

    - by César
    I have Centos 6.2 in server with this specs: 2xCPU 16 Core AMD Opteron 6282 SE 64GB RAM Raid controller H700 1GB cache NV - 2HD 74GB SAS 15Krpm RAID1 stripe 16k (OS Centos 6.2) sda - 4HD 146GB SAS 15Krpm RAID10 stripe 16k (ext4 bs 4096, no barriers) sdb -> /vol01 Raid controller H800 1GB cache nv - MD1200 12HD 300GB SAS 15Krpm RAID10 stripe 256k (For DB Postgres 8.3.18) (ext4 bs 4096, stride 64, stripe-width 384, no barriers) sdc -> /vol02 I'm benchmarking IO speed with dd, and view thah if in RAID10 12 disk exec: dd if=/dev/zero of=DD bs=8M count=10000 oflag=direct 10000+0 records in 10000+0 records out 83886080000 bytes (84 GB) copied, 126,03 s, 666 MB/s but if I remove "oflag=direct" option obtain about 80 MB/s. In read benchmark, results are similar: dd of=/dev/null if=DD bs=8M count=10000 iflag=direct 10000+0 records in 10000+0 records out 83886080000 bytes (84 GB) copied, 79,5918 s, 1,1 GB/s If remove iflag=direct obtain 150MB/s... I don't understand this huge differences, on other machines y don't have this behavior. Can I have some kernel parameter misconfigured? Thanks!

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  • Download ASP.NET MVC Source Code

    - by Editor
    From Scott Guthrie’s blog: Last month I blogged about our ASP.NET MVC Roadmap. Two weeks ago we shipped the ASP.NET Preview 2 Release. Phil Haack from the ASP.NET team published a good blog post about the release here. Scott Hanselman has created a bunch of great ASP.NET MVC tutorial videos [...]

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  • How to mirror filesystems with millions of hardlinks?

    - by Thomas Berger
    We have one big problem at the moment: We need to mirror a filesystem for one of our customers. Thats usual not really a problem, but here it is: On this filesystem there is one folder with millions of hardlinks (yes! MILLIONS!). rsync requires more then 4 days to just build the filelist. We use the following rsync options: rsync -Havz --progress serverA:/data/cms /data/ Has anyone a idea how to speed up this rsync, or use alternatives? We could not use dd as the target disk is smaller then the source.

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  • Is there a variable width font that does not change width when adding effects like bold, italic?

    - by George Bailey
    NetBeans has a word wrap feature now - but if the font changes width when bold then it gets all jumpy and sometimes hard to work with. Edit: It turns out that even with Courier New that NetBeans word wrap still jumps up and down lines at a time at random. I guess that this question no longer cares for an answer. However,, it seems that there is no answer. (at least nobody has brought one up yet) I am currently using Comic Sans MS which gets wider when bold.

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  • nginx+php-fpm help optimize configs

    - by Dmitro
    I have 3 servers. First server (CPU - model name: 06/17, 2.66GHz, 4 cores, 8GB RAM) have nginx as load balancer with next config upstream lb_mydomain { server mydomain.ru:81 weight=2; server 66.0.0.18 weight=6; } server { listen 80; server_name ~(?!mydomain.ru)(.*); client_max_body_size 20m; location / { proxy_pass http://lb_mydomain; proxy_redirect off; proxy_set_header Connection close; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_pass_header Set-Cookie; proxy_pass_header P3P; proxy_pass_header Content-Type; proxy_pass_header Content-Disposition; proxy_pass_header Content-Length; } } And configs from nginx.conf: user www-data; worker_processes 5; # worker_priority -1; error_log /var/log/nginx/error.log; pid /var/run/nginx.pid; events { worker_connections 5024; # multi_accept on; } http { include /etc/nginx/mime.types; access_log /var/log/nginx/access.log; sendfile on; default_type application/octet-stream; #tcp_nopush on; keepalive_timeout 65; tcp_nodelay on; gzip on; gzip_disable "MSIE [1-6]\.(?!.*SV1)"; # PHP-FPM (backend) upstream php-fpm { server 127.0.0.1:9000; } include /etc/nginx/conf.d/*.conf; include /etc/nginx/sites-enabled/*; } And config php-fpm: listen = 127.0.0.1:9000 ;listen.backlog = -1 ;listen.allowed_clients = 127.0.0.1 ;listen.owner = www-data ;listen.group = www-data ;listen.mode = 0666 user = www-data group = www-data pm = dynamic pm.max_children = 80 ;pm.start_servers = 20 pm.min_spare_servers = 5 pm.max_spare_servers = 35 ;pm.max_requests = 500 pm.status_path = /status ping.path = /ping ;ping.response = pong request_terminate_timeout = 30s request_slowlog_timeout = 10s slowlog = /var/log/php-fpm.log.slow ;rlimit_files = 1024 ;rlimit_core = 0 ;chroot = chdir = /var/www ;catch_workers_output = yes ;env[HOSTNAME] = $HOSTNAME ;env[PATH] = /usr/local/bin:/usr/bin:/bin ;env[TMP] = /tmp ;env[TMPDIR] = /tmp ;env[TEMP] = /tmp ;php_admin_value[sendmail_path] = /usr/sbin/sendmail -t -i -f [email protected] ;php_flag[display_errors] = off ;php_admin_value[error_log] = /var/log/fpm-php.www.log ;php_admin_flag[log_errors] = on ;php_admin_value[memory_limit] = 32M In top I see 20 php-fpm processes which use from 1% - 15% CPU. So it's have high load averadge: top - 15:36:22 up 34 days, 20:54, 1 user, load average: 5.98, 7.75, 8.78 Tasks: 218 total, 1 running, 217 sleeping, 0 stopped, 0 zombie Cpu(s): 34.1%us, 3.2%sy, 0.0%ni, 37.0%id, 24.8%wa, 0.0%hi, 0.9%si, 0.0%st Mem: 8183228k total, 7538584k used, 644644k free, 351136k buffers Swap: 9936892k total, 14636k used, 9922256k free, 990540k cached Second server(CPU - model name: Intel(R) Xeon(R) CPU E5504 @ 2.00GHz, 8 cores, 8GB RAM). Nginx configs from nginx.conf: user www-data; worker_processes 5; # worker_priority -1; error_log /var/log/nginx/error.log; pid /var/run/nginx.pid; events { worker_connections 5024; # multi_accept on; } http { include /etc/nginx/mime.types; access_log /var/log/nginx/access.log; sendfile on; default_type application/octet-stream; #tcp_nopush on; keepalive_timeout 65; tcp_nodelay on; gzip on; gzip_disable "MSIE [1-6]\.(?!.*SV1)"; # PHP-FPM (backend) upstream php-fpm { server 127.0.0.1:9000; } include /etc/nginx/conf.d/*.conf; include /etc/nginx/sites-enabled/*; } And config of php-fpm: listen = 127.0.0.1:9000 ;listen.backlog = -1 ;listen.allowed_clients = 127.0.0.1 ;listen.owner = www-data ;listen.group = www-data ;listen.mode = 0666 user = www-data group = www-data pm = dynamic pm.max_children = 50 ;pm.start_servers = 20 pm.min_spare_servers = 5 pm.max_spare_servers = 35 ;pm.max_requests = 500 ;pm.status_path = /status ;ping.path = /ping ;ping.response = pong ;request_terminate_timeout = 0 ;request_slowlog_timeout = 0 ;slowlog = /var/log/php-fpm.log.slow ;rlimit_files = 1024 ;rlimit_core = 0 ;chroot = chdir = /var/www ;catch_workers_output = yes ;env[HOSTNAME] = $HOSTNAME ;env[PATH] = /usr/local/bin:/usr/bin:/bin ;env[TMP] = /tmp ;env[TMPDIR] = /tmp ;env[TEMP] = /tmp ;php_admin_value[sendmail_path] = /usr/sbin/sendmail -t -i -f [email protected] ;php_flag[display_errors] = off ;php_admin_value[error_log] = /var/log/fpm-php.www.log ;php_admin_flag[log_errors] = on ;php_admin_value[memory_limit] = 32M In top I see 50 php-fpm processes which use from 10% - 25% CPU. So it's have high load averadge: top - 15:53:05 up 33 days, 1:15, 1 user, load average: 41.35, 40.28, 39.61 Tasks: 239 total, 40 running, 199 sleeping, 0 stopped, 0 zombie Cpu(s): 96.5%us, 3.1%sy, 0.0%ni, 0.0%id, 0.0%wa, 0.0%hi, 0.4%si, 0.0%st Mem: 8185560k total, 7804224k used, 381336k free, 161648k buffers Swap: 19802108k total, 16k used, 19802092k free, 5068112k cached Third server is server with database postgresql. Also i try ab -n 50 -c 5 http://www.mydomain.ru/ And I get next info: Complete requests: 50 Failed requests: 48 (Connect: 0, Receive: 0, Length: 48, Exceptions: 0) Write errors: 0 Total transferred: 9271367 bytes HTML transferred: 9247767 bytes Requests per second: 1.02 [#/sec] (mean) Time per request: 4882.427 [ms] (mean) Time per request: 976.486 [ms] (mean, across all concurrent requests) Transfer rate: 185.44 [Kbytes/sec] received Please advise how can I make lower level of load average?

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  • This code is of chess game. What is represented by 'DISTANCE' in code? [closed]

    - by rajeshverma423
    package chess; public class Evaluate { public static final int PIECE_KING = 0; public static final int PIECE_QUEEN = 1; public static final int PIECE_ROOK = 2; public static final int PIECE_BISHOP = 3; public static final int PIECE_KNIGHT = 4; public static final int PIECE_PAWN = 5; public static final int FULL_BIT_RANK = 4080; public static final int LAZY_MARGIN = 100; public static final int ISOLATED_PENALTY = 10; public static final int DOUBLE_PENALTY = 4; public static final int[] PIECE_VALUE = { 0, 9, 5, 3, 3, 1 }; public static final int[] PASS_PAWN = { 0, 35, 30, 20, 10, 5 }; public static final byte[] DISTANCE = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 6, 5, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 6, 5, 4, 5, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 7, 6, 5, 4, 3, 4, 5, 6, 7, 0, 0, 0, 0, 0, 0, 7, 6, 5, 4, 3, 2, 3, 4, 5, 6, 7, 0, 0, 0, 0, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 0, 0, 7, 6, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, 6, 7, 0, 0, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 0, 0, 0, 0, 7, 6, 5, 4, 3, 2, 3, 4, 5, 6, 7, 0, 0, 0, 0, 0, 0, 7, 6, 5, 4, 3, 4, 5, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 7, 6, 5, 4, 5, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 6, 5, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7 };

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  • Why might apache2 use 100% of CPU at startup?

    - by QuantumMechanic
    This is apache 2.2.14 on SLES9. Out of nowhere (i.e. it had been working fine for ages) I am seeing apache2 suddenly start using 100% of the CPU at startup, and never completing startup. Nothing is getting written to /var/log/error_log (when it did back when things were OK). ps only shows the main httpd process and not any of the spawned threads. When things were OK, it would show the spawned threads. So it appears httpd is going into some sort of infinite loop right at startup and isn't even completing startup. It's not an issue of being overloaded by connections -- this happens even when nothing is trying to contact it. The config files haven't changed (or at least they haven't changed in a way that changed their last-modified time). I've tried added -e debug -E /var/log/apache2/startup_info to the command line, but nothing is put in the file. Any ideas what could be happening?

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  • Is it reasonable that a random disk seek & read costs ~16ms?

    - by fzhang
    I am frustrated about the latency of random reading from a non-ssd disk. Based on results from following test program, it speeds ~16 ms for a random read of just 512 bytes without help of os cache. I tried changing 512 to larger values, such as 25k, and the latency did not increase as much. I guess it is because the disk seek dominates the time. I understand that random reading is inherently slow, but just want to be sure that ~16ms is reasonable, even for non-ssd disk. #include <sys/stat.h> #include <sys/time.h> #include <sys/types.h> #include <sys/unistd.h> #include <fcntl.h> #include <limits.h> #include <stdio.h> #include <string.h> int main(int argc, char** argv) { int fd = open(argv[1], O_RDONLY); if (fd < 0) { fprintf(stderr, "Failed open %s\n", argv[1]); return -1; } const size_t count = 512; const off_t offset = 25990611 / 2; char buffer[count] = { '\0' }; struct timeval start_time; gettimeofday(&start_time, NULL); off_t ret = lseek(fd, offset, SEEK_SET); if (ret != offset) { perror("lseek error"); close(fd); return -1; } ret = read(fd, buffer, count); if (ret != count) { fprintf(stderr, "Failed reading all: %ld\n", ret); close(fd); return -1; } struct timeval end_time; gettimeofday(&end_time, NULL); printf("tv_sec: %ld, tv_usec: %ld\n", end_time.tv_sec - start_time.tv_sec, end_time.tv_usec - start_time.tv_usec); close(fd); return 0; }

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  • Apache2 BufferedLogs On - anybody using it ?

    - by Qiqi
    Greetings, I am wondering, whether anybody is using BufferedLogs On with Apache2 and found any issues ? Feature is marked as experimental, but for many years now, so I guess it's rather pretty stable. I am running some servers with constrained disk IO capacity at the moment, so I turned it on hoping that even a small benefit could help in the long run ;-) I do have several to several hundreds requests per seconds so by my thoughts there is really no need to write to log after each request, cause honestly I don't think that my filesystem is the best handler for many unnecessary writes. (OCFS2 shared among several DomUs in the Xen)

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  • ApacheTop and Plesk

    - by Tomccaul
    Hi, I am trying to find a way to monitor my apache server so I can see which domain is causing slow down on my server when they occur. I was hoping I would be able to do it with ApacheTop but I have to list our each log file separately as Plesk splits domains apache logs into individual files. Is there a way I can do this with ApacheTop or should I be using another tool? Thanks

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  • Pros/cons to turning off cable modem

    - by Jay
    A little off the wall perhaps, but ... I have a cable modem and a router for a wireless home network. Is it a good or a bad idea to turn it off at night and during the day when we're all at work or school? Or should I leave it on 24/7. I was thinking that leaving it on constantly makes me more vulnerable to hackers, not to mention wasting electricity. (Though I'd guess the amount of electricity used by a cable modem and a router is probably pretty trivial. Still, every little bit helps.) When I have turned it off and turned it on again, it takes several minutes for it to go through its little dialog with the cable company and get me connected to the Internet again, which is annoying but not a big deal. Anyone know any good reasons one way or the other?

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  • Does this prove a network bandwidth bottleneck?

    - by Yuji Tomita
    I've incorrectly assumed that my internal AB testing means my server can handle 1k concurrency @3k hits per second. My theory at at the moment is that the network is the bottleneck. The server can't send enough data fast enough. External testing from blitz.io at 1k concurrency shows my hits/s capping off at 180, with pages taking longer and longer to respond as the server is only able to return 180 per second. I've served a blank file from nginx and benched it: it scales 1:1 with concurrency. Now to rule out IO / memcached bottlenecks (nginx normally pulls from memcached), I serve up a static version of the cached page from the filesystem. The results are very similar to my original test; I'm capped at around 180 RPS. Splitting the HTML page in half gives me double the RPS, so it's definitely limited by the size of the page. If I internally ApacheBench from the local server, I get consistent results of around 4k RPS on both the Full Page and the Half Page, at high transfer rates. Transfer rate: 62586.14 [Kbytes/sec] received If I AB from an external server, I get around 180RPS - same as the blitz.io results. How do I know it's not intentional throttling? If I benchmark from multiple external servers, all results become poor which leads me to believe the problem is in MY servers outbound traffic, not a download speed issue with my benchmarking servers / blitz.io. So I'm back to my conclusion that my server can't send data fast enough. Am I right? Are there other ways to interpret this data? Is the solution/optimization to set up multiple servers + load balancing that can each serve 180 hits per second? I'm quite new to server optimization, so I'd appreciate any confirmation interpreting this data. Outbound traffic Here's more information about the outbound bandwidth: The network graph shows a maximum output of 16 Mb/s: 16 megabits per second. Doesn't sound like much at all. Due to a suggestion about throttling, I looked into this and found that linode has a 50mbps cap (which I'm not even close to hitting, apparently). I had it raised to 100mbps. Since linode caps my traffic, and I'm not even hitting it, does this mean that my server should indeed be capable of outputting up to 100mbps but is limited by some other internal bottleneck? I just don't understand how networks at this large of a scale work; can they literally send data as fast as they can read from the HDD? Is the network pipe that big? In conclusion 1: Based on the above, I'm thinking I can definitely raise my 180RPS by adding an nginx load balancer on top of a multi nginx server setup at exactly 180RPS per server behind the LB. 2: If linode has a 50/100mbit limit that I'm not hitting at all, there must be something I can do to hit that limit with my single server setup. If I can read / transmit data fast enough locally, and linode even bothers to have a 50mbit/100mbit cap, there must be an internal bottleneck that's not allowing me to hit those caps that I'm not sure how to detect. Correct? I realize the question is huge and vague now, but I'm not sure how to condense it. Any input is appreciated on any conclusion I've made.

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  • Drawbacks of installing linux on usb stick?

    - by Znarkus
    I am setting up a router/nas/http/whatever server based on an ION mini-ITX board. I've installed Ubuntu Server on an old 160 GB drive, but it generates a lot more heat and vibrates more than my other new drive (storage). It just doesn't fit the concept, and worse: it takes up a SATA port. As SSD's are crazy expensive I'm thinking of buying an extra 4 GB USB stick, and raid0 it. From my point of view, these are the pros/cons: Pros Low power consumption No vibrations No heat Smaller Get to buy new, larger USB stick (:D) Cons Shorter life time Slower Raid 0 More work maintaing/installing? I think the pros overweighs the cons. Shorter life time and raid 0 is countered by regular backups of the configs/settings. Slower is partially countered by raid 0, and I don't know about the last one. What do You think? Experience? Another solution?

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  • SQL Server 2008 Web VS SQL Server 2008 Enterprise

    - by Jeremy
    I wrote an application a few months ago, and was hosting it out of our offices on a workstation with an Intel Core 2 Quad Q8200 @ 2.33GHz, 8 GB RAM, Windows Server 2008 Enterprise and SQL Server 2008 Enterprise. Both the webserver and database server were run on the same machine. We had a huge influx in traffic, and moved ClubUptime.com, and got 2 of their top teir windows VMs. The Database server runs Windows 2008 R2 Standard and SQL Server 2008 R2 Web on 8 GB ram and an Intel Xeon e5620 @ 2.40GHz. Ever since switching, the database which used to run at around 400MB in RAM now runs at around 4-7GB, and there haven't been any changes to it (other than a couple columns here and there). Our traffic has quadrupled, and our DB is 6 GB on disk, why would SQL server take up 7 GB if the DB is only 6. And why would it be storing the ENTIRE database in memory? Another thing is why growing 4 times in size did the database's memory footprint grow 12 times? Last question: Why does the CPU peg at 100% now where it didn't before? The design is simple, VERY few joins, NO subqueries. I am just at a loss, unless it is the SQL server edition, or the fact that I moved from real hardware to a VM.

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