| docker run -d -p 11210:11210 -p 11211:11211 -p 8091:8091 -p 8092:8092 --name cb1 dustin/couchbase | |
| for name in cb{2..5}; do | |
| docker run -d --name $name dustin/couchbase | |
| done | |
| for name in cb{1..5}; do | |
| docker inspect -f '{{ .NetworkSettings.IPAddress }}' $name | |
| done |
| # installs to /opt/gradle | |
| # existing versions are not overwritten/deleted | |
| # seamless upgrades/downgrades | |
| # $GRADLE_HOME points to latest *installed* (not released) | |
| gradle_version=1.11 | |
| wget -N http://services.gradle.org/distributions/gradle-${gradle_version}-all.zip | |
| sudo unzip -foq gradle-${gradle_version}-all.zip -d /opt/gradle | |
| sudo ln -sfn gradle-${gradle_version} /opt/gradle/latest | |
| sudo printf "export GRADLE_HOME=/opt/gradle/latest\nexport PATH=\$PATH:\$GRADLE_HOME/bin" > /etc/profile.d/gradle.sh | |
| . /etc/profile.d/gradle.sh |
| apply plugin: 'checkstyle' | |
| checkstyleMain { | |
| ignoreFailures = false | |
| reports { | |
| include ( '**/*.java') | |
| xml { | |
| destination "${rootProject.buildDir}/reports/checkstyle/main.xml" | |
| } | |
| } |
| import org.apache.commons.dbcp.BasicDataSource | |
| apply plugin:'eclipse' | |
| propFile="${rootProject.projectDir}/config/database.properties" | |
| prod=false | |
| buildscript { | |
| buildDeps = ['commons-pool:commons-pool:1.5.4', 'commons-io:commons-io:2.0.1', 'commons-dbcp:commons-dbcp:1.3', | |
| 'mysql:mysql-connector-java:5.1.13'] |
| package main | |
| import ( | |
| "database/sql" | |
| "gopkg.in/gorp.v1" | |
| "log" | |
| "strconv" | |
| "github.com/gin-gonic/gin" | |
| _ "github.com/go-sql-driver/mysql" |
| #!/usr/bin/python | |
| # | |
| # Auto-start and stop EC2 instances | |
| # | |
| import boto, datetime, sys | |
| from time import gmtime, strftime, sleep | |
| # AWS credentials | |
| aws_key = "AKIAxxx" | |
| aws_secret = "abcd" |
This documentation aims at being a quick-straight-to-the-point-hands-on AWS resources manipulation with [boto3][0].
First of all, you'll need to install [boto3][0]. Installing it along with [awscli][1] is probably a good idea as
On Tue Oct 27, 2015, history.state.gov began buckling under load, intermittently issuing 500 errors. Nginx's error log was sprinkled with the following errors:
2015/10/27 21:48:36 [crit] 2475#0: accept4() failed (24: Too many open files) 2015/10/27 21:48:36 [alert] 2475#0: *7163915 socket() failed (24: Too many open files) while connecting to upstream...
An article at http://www.cyberciti.biz/faq/linux-unix-nginx-too-many-open-files/ provided directions that mostly worked. Below are the steps we followed. The steps that diverged from the article's directions are marked with an *.
su to run ulimit on the nginx account, use ps aux | grep nginx to locate nginx's process IDs. Then query each process's file handle limits using cat /proc/pid/limits (where pid is the process id retrieved from ps). (Note: sudo may be necessary on your system for the cat command here, depending on your system.)fs.file-max = 70000 to /etc/sysctl.conf
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400,000 to 500,000 requests per second (clustered), most what i saw is 50,000 to 80,000 (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
| # The full public facing url | |
| #root_url = %(protocol)s://%(domain)s:%(http_port)s/ | |
| root_url = http://localhost:80/grafana/ |