vbratkev

NGINX Tuning For Best Performance

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 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (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.

• Stable version NGINX (deb/rpm)

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## AWS 
# Amazon Web Services (No Header Required)
# from http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html#instancedata-data-categories
http://169.254.169.254/latest/meta-data/iam/security-credentials/dummy
http://169.254.169.254/latest/user-data
http://169.254.169.254/latest/user-data/iam/security-credentials/[ROLE NAME]
http://169.254.169.254/latest/meta-data/iam/security-credentials/[ROLE NAME]
http://169.254.169.254/latest/meta-data/ami-id
http://169.254.169.254/latest/meta-data/reservation-id
http://169.254.169.254/latest/meta-data/hostname

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# set prefix to control-f
set -g prefix C-f

#unbind system defined prefix
unbind C-b

# helps in faster key repetition
set -sg escape-time 0

# start session number from 1 rather than 0

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groups:
- name: datetime
  rules:
  - record: daily_saving_time_belgium
    expr: |
      (vector(0) and (month() < 3 or month() > 10))
      or
      (vector(1) and (month() > 3 and month() < 10))
      or
      (

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#cloud-config

coreos:
  etcd2:
    # generate a token from https://discovery.etcd.io/new?size=3
    discovery: https://discovery.etcd.io/<token>
    advertise-client-urls: http://$private_ipv4:2379
    initial-advertise-peer-urls: http://$private_ipv4:2380
    listen-client-urls: http://0.0.0.0:2379
    listen-peer-urls: http://$private_ipv4:2380

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-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

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# Zookeeper

job "zookeeper" {
    # Specify Region
    region = "uswest-fremont"

    # Specify Datacenter
    datacenters = [ "fremont-dc1"]

    # Specify job type

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WAL-E needs to be installed on all machines, masters and slaves.

How to install WAL-E

Only one machine, the master, writes WAL segments via continuous archiving. The configuration for the master postgresql.conf is:

archive_mode = on
archive_command = 'envdir /etc/wal-e.d/env wal-e wal-push %p'
archive_timeout = 60

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###Single hop tunelling:

ssh -f -N -L 9906:127.0.0.1:3306 user@dev.example.com

where,

• -f puts ssh in background
• -N makes it not execute a remote command

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ec2-consul-template-plugin

About

This is a simple little Python script to let you query EC2 metadata from consul-template. It's only requirement is boto. It uses the EC2 internal metadata service so it does not require any API keys or even a region. The only caveat is that this can only be run on a machine on EC2.

Usage

You can give no arguments for full dictionary output or one or more arguments to get specific key(s). Put it somewhere on your machine, chmod +x it and give the full path to consul-template.

Examples