Skip to content

alexharv074/elk

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

elk

Build Status

Table of contents

  1. ELK 7 status
  2. Motivation
  3. Latest version
  4. Support
  5. Architecture
  6. About Librarian-puppet & g10k
  7. Setup
  8. Reference
  9. Testing
  10. Donate

ELK 7 status

Update 6 November 2019. At this time the upstream Elastic Puppet modules still do not support ELK 7. If you would like ELK 7 support here, consider upvoting this issue. I will add ELK 7 support here as soon as I am able to.

Motivation

This project is intended to solve a variety of problems:

  • A convenient fully-automated moderately-opinionated out-of-the-box latest-version highly-available ELK solution in Puppet.
  • An ELK cluster that spins up conveniently on a single node for development and testing in ELK.
  • A demonstration of a complex Puppet Control Repo, Roles & Profiles design with automated testing in Rspec-puppet and Beaker.

Latest version

Last tested against:

  • ELK 6.8.0
  • Elasticsearch Curator 5.7.6
  • java-1.8.0-openjdk-1.8.0.212.b04-0.el7_6.x86_64
  • Redis 3.2.12

Note that ELK 7 has been released and will be supported here soon!

Support

At the time of writing my intention is to support this solution and keep it up-to-date with the latest upstream ELK components and the ELK Puppet modules that it uses. For this reason, the components pulled are always latest-everything (see Puppetfile).

If you have any problems with it or wish to request features feel free to raise an issue and I may (or may not) fix or implement. Pull requests also welcome.

Also, consider donating.

Architecture

The basic architecture is shown in the following figure:

Fig 1

About Librarian-puppet & g10k

The project is configured to use librarian-puppet or g10k to check out the shared modules that this project depends upon.

I prefer Librarian-puppet over r10k for its ability to install dependencies, and I prefer g10k over Librarian-puppet because it has been rewritten in Go and it's just very fast. Librarian-puppet must remain in order to run from within Travis CI. See also the Rakefile.

Setup

Quickly build an ELK cluster in Vagrant for development and testing

If your reason for being here is that you just want to play with an ELK cluster, do this:

Dependencies

Make sure you have:

  • VirtualBox (download from here)
  • Vagrant (download from here)
  • Ruby Gems (should be already installed on a Mac)
  • RVM (Ruby version 2.4.1: rvm install ruby-2.4.1)
  • bundler (already installed on newer Macs, and gem install bundler otherwise.)
  • (optional) Squid Man (brew cask install squidman)

Squid Man set up

Squid Man can be optionally used to speed up the Vagrant build by caching a lot of the repetitive downloads of RPMs etc. I assume you are using Squid Man.

Configure Squid Man to listen on port 3128 and cache all.

Clone this project

Clone the project from Github:

git clone https://github.com/alexharv074/elk.git

Install dependencies with Bundler

Cd into the elk directory then:

bundle install

Build the Vagrant box

Finally, you can build the ELK cluster using these commands:

export BEAKER_destroy=no
export BEAKER_PACKAGE_PROXY=http://<laptop_ip>:3128/
bundle exec rake best_spec
bundle exec rspec spec/acceptance

It should then take about 10 minutes or so to build.

Finally, you can visit the ELK at http://localhost:5601.

Reference

Note about examples

In all of the examples below, I assume that the user is using Hiera to pass data to the profile classes and only therefore show YAML versions of the config.

Roles

Public Classes

Class: role::elk_stack

Installs an ELK cluster with a base profile that includes the Filebeat agent and a Redis cache frontended by an Nginx reverse proxy.

The purpose of this role is:

  1. To do integration testing in Beaker of all the ELK components.
  2. To quickly spin up an ELK cluster for development and testing.

Profiles

Public Classes

Class: profile::base

The base profile that configures adds the Elastic Filebeat agent, and also an iptables firewall, yum repos both for the ELK and Linux, NTP and other services.

The following parameters are expected:

  • firewall_multis. A Hash of firewall blocks passed to the firewall_multis module, which creates the iptables rules. For example, to allow ports 23 and 80 for SSH & Kibana:
profile::base::firewall_multis:
  '00099 accept tcp ports for SSH and Kibana':
    dport: [22, 80]
    action: accept
    proto: tcp
    source:
      - 0.0.0.0/0
  • tools. A Hash of RPMs like vim etc for debugging.
Class: profile::elasticsearch::coordinating_node

Creates a coordinating-only node. Elasticsearch Coordinating-only nodes are essentially smart load balancers and Kibana typically uses one of these to distribute requests to cluster. The class sets node.master => false, node.data => false and node.ingest => false and expects other config to be provided by the user. Also included is the private profile::elasticsearch class (see below), which configures the elasticsearch user and group and includes the profile::jdk.

The following parameters are expected:

  • firewall_multis. See above.
  • config. A Hash of config options that are used to populate the elasticsearch.yml file. For example, to set the cluster.name and node.name:
profile::elasticsearch::coordinating_node::config:
  'cluster.name': es01
  'node.name': "es01_coordinating_%{::hostname}"
  • init_defaults. A Hash of config options are used to populate the /etc/sysconfig/defaults file. For example:
profile::elasticsearch::coordinating_node::init_defaults:
  JAVA_HOME: /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.65-0.b17.el6_7.x86_64

For more information about configuring a coordinating-only node for use with Kibana, see here.

Class: profile::elasticsearch::data_node

Creates a data node (or master-eligible data node). The class sets node.data => true and expects other config to be provided by the user. As part of this, there is expected to be a separate physical volume provided via the espv fact for the Elasticsearch datadir, and the class creates the LVM and filesystem via the puppetlabs/lvm module. Also included is the private profile::elasticsearch class (see below), which configures the elasticsearch user and group and includes the profile::jdk.

Optional features include:

  • Installation of the curator tool, for managing indices (e.g. maintaining disk space).
  • Install a list of Elasticsearch templates
  • Install a list of Elasticsearch plugins
  • Set recommended performance tuning options for the cluster

The following parameters are expected:

  • firewall_multis. See above.
  • config. A Hash of config options that are used to populate the elasticsearch.yml file. For example, to set the cluster.name and node.name, and make this data node master-eligible:
profile::elasticsearch::data_node::config:
  'cluster.name': es01
  'node.name': "es01_%{::hostname}"
  'node.master': true
  • init_defaults. A Hash of config options are used to populate the /etc/sysconfig/defaults file. For example:
profile::elasticsearch::coordinating_node::init_defaults:
  JAVA_HOME: /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.65-0.b17.el6_7.x86_64
  • es_templates. An optional Hash of Elasticsearch Index Templates which are passed to the elasticsearch::template type from the Elasticsearch Puppet module. The templates are expected to be JSON files in your Puppet code base. Example:
profile::elasticsearch::data_node::es_templates:
  logstash:
    source: puppet:///modules/profile/logstash/logstash.json
  • es_plugins. An optional Hash of Elasticsearch plugins which are passed to the elasticsearch::plugin type from the Elasticsearch Puppet module. For example:
profile::elasticsearch::data_node::es_plugins:
  'x-pack':
    instances: es01
  • curator_jobs. A Hash of jobs passed to the built-in Puppet cron type. Example:
profile::elasticsearch::data_node::curator_jobs:
  curator_delete:
    command: '/usr/bin/curator --master-only --logfile /var/log/elasticsearch/curator.log delete --older-than 20'
    hour: 2
    minute: 12
  curator_close:
    command: '/usr/bin/curator --master-only --logfile /var/log/elasticsearch/curator.log close --older-than 10'
    hour: 2
    minute: 24
  curator_bloom:
    command: '/usr/bin/curator --master-only --logfile /var/log/elasticsearch/curator.log bloom --older-than 2'
    hour: 2
    minute: 32
  • datadir. The full path to the mount point of the data dir.

  • jvm_options. An Array of JVM options. Example:

profile::elasticsearch::data_node::jvm_options:
  - -Xms1g
  - -Xmx1g
  • config. A Hash of config options that are used to populate the elasticsearch.yml file. For example, to set the cluster.name and node.name:
profile::elasticsearch::coordinating_node::config:
  'cluster.name': es01
  'node.name': "es01_coordinating_%{::hostname}"
  • init_defaults. A Hash of config options are used to populate the /etc/sysconfig/defaults file. For example:
profile::elasticsearch::coordinating_node::init_defaults:
  JAVA_HOME: /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.65-0.b17.el6_7.x86_64

For more information about configuring a coordinating-only node for use with Kibana, see here.

Class: profile::elasticsearch::data_node

Creates a data node (or master-eligible data node). The class sets node.data => true and expects other config to be provided by the user. As part of this, there is expected to be a separate physical volume provided via the espv fact for the Elasticsearch datadir, and the class creates the LVM and filesystem via the puppetlabs/lvm module.

Optional features include:

  • Installation of the curator tool, for managing indices (e.g. maintaining disk space).
  • Install a list of Elasticsearch templates
  • Install a list of Elasticsearch plugins
  • Set recommended performance tuning options for the cluster

The parameters that are expected:

  • firewall_multis. See above.
  • config. A Hash of config options that are used to populate the elasticsearch.yml file. For example, to set the cluster.name and node.name, and make this data node master-eligible:
profile::elasticsearch::data_node::config:
  'cluster.name': es01
  'node.name': "es01_%{::hostname}"
  'node.master': true
  • init_defaults. A Hash of config options are used to populate the /etc/sysconfig/defaults file. For example:
profile::elasticsearch::coordinating_node::init_defaults:
  JAVA_HOME: /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.65-0.b17.el6_7.x86_64
  • es_templates. An optional Hash of Elasticsearch Index Templates. The templates are expected to be JSON files in your Puppet code base. Example:
profile::elasticsearch::data_node::es_templates:
  logstash:
    source: puppet:///modules/profile/logstash/logstash.json
Class: profile::kibana

The Kibana profile is just a thin wrapper around the Elastic Kibana module. The module accepts just three parameters:

  • firewall_multis. See above.
  • uid and gid. The UID and GID of the Kibana user and group. We manage it explicitly to avoid the indeterminate assignment that occurs when created by the RPMs. Integers >= 30000 are expected here.

Config can be passed to the Kibana module directly, for example:

kibana::config:
  'server.host': 0.0.0.0
  'server.port': 5601
  'elasticsearch.url': http://0.0.0.0:9201
Class: profile::nginx

The Nginx profile can be used to create a simple Reverse Proxy to place in front of Kibana so that users can access Kibana on port 80 in their browsers, rather than Kibana port 5601.

Expected parameters:

  • firewall_multis. See above.
  • uid and gid. The UID and GID of the Logstash user and group. We manage it explicitly to avoid the indeterminate assignment that occurs when created by the RPMs. Integers >= 30000 are expected here.
  • backend_host and backend_port. The host and port of the Kibana service.
Class: profile::logstash

The Logstash profile is used to configure Logstash instances such as Logstash Shipper or Indexer nodes or both or other kinds of Logstash nodes. It configures Logstash itself via the Elastic Puppet Logstash module, declares logstash::configfile and logstash::patternfiles from that module, creates the Logstash user and group, and installs the JDK package.

Logstash Pipelines can be declared by passing data directly to the Logstash module. Note that since ELK 6.x, the Multiple Pipelines feature has obviated the need in earlier versions of ELK for multiple Logstash instances, e.g. separate Shipper and Indexer nodes. To run Shipper and Indexer Pipelines in the same instance, for example:

logstash::pipelines:
  - 'pipeline.id': shipper
    'path.config': /etc/logstash/conf.d/shipper.conf
  - 'pipeline.id': indexer
    'path.config': /etc/logstash/conf.d/indexer.conf

The following parameters are expected by the Logstash profile:

  • firewall_multis. See above.
  • uid and gid. The UID and GID of the Logstash user and group. We manage it explicitly to avoid the indeterminate assignment that occurs when created by the RPMs. Integers >= 30000 are expected here.
  • configfiles. A Hash of logstash::configfile. For example:
profile::logstash::configfiles:
  'shipper.conf':
    source: puppet:///modules/profile/logstash/conf.d/shipper.conf
    path: /etc/logstash/conf.d/shipper.conf
  'indexer.conf':
    source: puppet:///modules/profile/logstash/conf.d/indexer.conf
    path: /etc/logstash/conf.d/indexer.conf
  • patternfiles. A Hash of logstash::patternfile.

Private Classes

Class: profile::jdk

This profile just installs the Open JDK package. It expects one parameter, the package name. For example:

profile::jdk::package: java-1.8.0-openjdk
Class: profile::base::filebeat

Includes the (official) Pcfens/Filebeat class and also declares a filebeat::prospector. There is one expected parameter:

  • paths. An Array of file paths to send logs for. Example:
profile::base::filebeat::paths:
  - /var/log/syslog
  - /var/log/secure
Class: profile::base::firewall, profile::base::firewall::pre, profile::base::firewall::post

These classes configure the Puppetlabs Firewall module in the standard way according to documentation found at that project.

Class: profile::base::yum

All Yum repos - including for the Elasticsearch components - are managed from here. I designed it this way because I wanted to use the Puppet "purge" feature to ensure that I have control over Yum repos left in here by the Linux distro.

  • repos. A Hash of Yum Repos. Example:
profile::base::yum::repos:
  'ELK-6.x':
    descr: 'elasticsearch repo'
    baseurl: https://artifacts.elastic.co/packages/6.x/yum
    gpgcheck: 1
    gpgkey: https://artifacts.elastic.co/GPG-KEY-elasticsearch
    enabled: 1
Class: profile::elasticsearch

This class configures the Elasticsearch user and group and also includes the Elasticsearch Puppet module itself. The only expected parameters are the uid and gid (see above for these).

Testing

Dependencies

Make sure you have:

  • VirtualBox (or equivalent)
  • Vagrant
  • Ruby Gems
  • bundler
  • RVM
  • Squid Man

Squid Man set up

Configure Squid Man to listen on port 3128 and cache all.

Run the tests

Install the necessary gems:

bundle install

To run the unit tests from the root of the source code:

bundle exec rake best_spec

To run the acceptance tests:

ipaddr=$(ifconfig en0 | awk '$1 == "inet" {print $2}')
export BEAKER_PACKAGE_PROXY=http://${ipaddr}:3128/

Puppet 6.4.2:

export BEAKER_PUPPET_COLLECTION=puppet6
export BEAKER_PUPPET_INSTALL_VERSION=6.4.2

Puppet 5.5.14:

export BEAKER_PUPPET_COLLECTION=puppet5
export BEAKER_PUPPET_INSTALL_VERSION=5.5.14

Puppet 4.10.11:

export BEAKER_PUPPET_COLLECTION=pc1
export BEAKER_PUPPET_INSTALL_VERSION=1.10.12

Then:

bundle exec rspec spec/acceptance

Tested using Puppet 4.10.11, 5.5.14, 6.4.2 and Ruby 2.4.1.

Donate

If you find that this code saved your project some significant time, consider donating:

paypal

Also, please add a star if you find it useful!

Releases

No releases published

Packages

No packages published