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Basics of puppet code : terminology

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Puppet

  • Puppet with Amazon AWS I - Puppet accounts
  • Puppet with Amazon AWS II (ssh & puppetmaster/puppet install)
  • Puppet with Amazon AWS III - Puppet running Hello World
  • Puppet Code Basics - Terminology
  • Puppet with Amazon AWS on CentOS 7 (I) - Master setup on EC2
  • Puppet with Amazon AWS on CentOS 7 (II) - Configuring a Puppet Master Server with Passenger and Apache
  • Puppet master /agent ubuntu 14.04 install on EC2 nodes
  • Puppet master post install tasks - master's names and certificates setup,
  • Puppet agent post install tasks - configure agent, hostnames, and sign request
  • EC2 Puppet master/agent basic tasks - main manifest with a file resource/module and immediate execution on an agent node
  • Setting up puppet master and agent with simple scripts on EC2 / remote install from desktop
  • EC2 Puppet - Install lamp with a manifest ('puppet apply')
  • EC2 Puppet - Install lamp with a module
  • Puppet variable scope
  • Puppet packages, services, and files
  • Puppet packages, services, and files II with nginx
  • Puppet templates
  • Puppet creating and managing user accounts with SSH access
  • Puppet Locking user accounts & deploying sudoers file
  • Puppet exec resource
  • Puppet classes and modules
  • Puppet Forge modules
  • Puppet Express
  • Puppet Express 2
  • Puppet 4 : Changes
  • Puppet --configprint
  • Puppet with Docker
  • Puppet 6.0.2 install on Ubuntu 18.04




  • Note

    We need to be familiar with Puppet terminology and concepts before writing any Puppet code that will configure our systems.




    Resources

    Puppet code is composed primarily of resource declarations which describes the state of the system such as a certain user or file should exist, or a package should be installed.

    Resources are the fundamental building blocks used to model system state in Puppet. They describe the desired end state of unique elements managed by Puppet on the system. Everything that Puppet manages is expressed as a resource.

    Puppet uses a declarative language to define our configuration items (resources). Being declarative creates an important distinction between Puppet and many other configuration tools. A declarative language makes statements about the state of our configuration, for example, it declares that a package should be installed or a service should be started.

    Most configuration tools, such as a shell or Perl script, are imperative or procedural. They describe how things should be done rather than the desired end state, for example, most custom scripts used to manage configuration would be considered imperative.

    Puppet just declares what the state of their hosts should be: what packages should be installed, what services should be running, and so on. With Puppet, the system administrator doesn't care how this state is achieved. Instead, we abstract our host's configuration into resources.

    Let's take a look at an example of a user resource declaration.

    The format for resource declarations are as follows:

    resource_type { 'resource_name'
      attribute => value
      ...
    }
    

    Or (though it's the same):

    <type> { <title> :
     attribute1 => value1,
     attribute2 => value2,
    }
    
    1. Type: The type of a resource determines the system component Puppet manages. Some common types are: user, group, file, service and package. A resource declaration always contains the type of resource being managed.
    2. Title: The title of a resource identifies an instance of that resource type. The combination of type and title refers to a single unique element managed by puppet, such as a package name 'nginx'.
    3. Attributes: Each resource supports a list of key value pairs called attributes. These attributes provide a detailed description that Puppet uses to manage the resource. For example, the package 'nginx' should be present.

    Here is a real sample describes a user resource named 'k', with the specified attributes.

    user { 'k':
      ensure     => present,
      uid        => '2008',
      gid        => '4008',
      shell      => '/bin/bash',
      home       => '/home/k'
    }
    

    The following example is applied by Puppet to ensure that a package named apache2 is installed:

    package { 'apache2':
      ensure => present,
    }
    

    To list all of the default resource types that are available to Puppet, enter the following command:

    root@ip-172-31-50-172:~# puppet resource --types
    augeas
    computer
    cron
    exec
    file
    filebucket
    ...
    user
    vlan
    whit
    yumrepo
    zfs
    zone
    zpool
    root@ip-172-31-50-172:~# 
    




    Namevar

    A namevar is a special kind of attribute that serves as the identity of a resource on the underlying system. When creating a new resource type, the first task is to choose a namevar. The most important property about a namevar is that it must uniquely identify the resource. In this sense, the namevar can be thought of as the resource's primary key. Most resources that need to be managed have unique identifiers:

    1. Path of a file
    2. Name of a user, group, package, or service

    If we don't specifically assign a value for the namevar, its value will default to the title of the resource.

    file { '/etc/passwd':
      owner => root,
      group => root,
      mode  => 644
    }
    

    In this example, /etc/passwd is the title of the file resource; other Puppet code can refer to the resource as File['/etc/passwd'] to declare relationships. Because path is the namevar for the file type and we did not provide a value for it, the value of path will default to /etc/passwd.

    Although the title and namevar are commonly the same, they serve two different purposes in Puppet. The title is used to reference the resource in the Puppet catalog, and the namevar indicates the system's name for the resource.

    The example below demonstrates a situation where the namevar is not the same as a resource's title. The title of that resource is apache and its namevar is httpd. This resource can be referenced as apache, but the package under management is httpd:

    custom_package { 'apache':
     name => 'httpd',
    }
    




    Providers

    A user account may contains settings like username, group, and home directory. These attributes are defined as a part of its type. These users are managed differently on Windows, Linux, or ldap. The methods to create, destroy, and modify accounts are implemented as a separate provider for each of these.

    Providers implement the procedure used to manage resources. A resource is simply declared as a list of attributes because all of the instructions for managing that resource have been encapsulated in the provider. Additionally, multiple providers can be implemented for a single type, allowing the same resource to be applied on different operating systems. in other words, providers

    Puppet includes one or more providers for each of its native types. For example, Puppet's User type includes eight different providers that implement support across a variety of Unix, Linux, and even Windows platforms.

    Although Puppet will automatically select an appropriate default provider, we can override the default with the provider attribute. (For example, package resources on Red Hat systems default to the yum provider, but we can specify provider => gem to install Ruby libraries with the gem command.) - Docs: Type Reference





    Properties

    Puppet's Resource Abstraction Layer (RAL) provides a clear separation between types and providers. Properties are the key to this separation. They describe the attributes of a resource that its providers are responsible for managing.

    The ensure is a special property that models the existence of a resource. Until we implement ensure, resources cannot be created or destroyed.

    package { 'apache2':
      ensure => present,
    }
    

    Properties are also the main integration point between types and providers. Types specify which properties exist, and providers supply the implementation details for how those properties are managed on the system.

    Figuring out if an attribute should be a property is one of the most important design decisions for a resource type. In general, we can decide if an attribute should be a property by asking the following questions:

    1. Can I discover the state of this attribute?
    2. Can I update the state of this attribute?

    If the answer to both of those questions is yes, then that attribute should be implemented as a property. In general, if the answer to one or both of these questions is no, then the characteristic should not be a property. - from Puppet Types and Providers





    Parameters vs Properties

    Parameters supply additional information to providers, which is used to manage its properties. In contrast with properties, parameters are not discovered from the system and cannot be created or updated.

    Parameters allow us to specify additional context or the ability to override a provider's default behavior. For example, the service resource supports the following parameters: start, stop, status, and restart. None of these attributes reflect the state of a service. Instead, they override the commands a provider uses to interact with services on the system. - from Puppet Types and Providers





    RAL - Resource Abstraction Layer

    With our resource created, Puppet takes care of the details of managing that resource when our agents connect. Puppet handles the how by knowing how different platforms and operating systems manage certain types of resources. Each type has a number of providers. A provider contains the how of managing packages using a particular package management tool.

    The package type, for example, has more than 20 providers covering a variety of tools, including yum, aptitude, pkgadd, ports, and emerge.

    When an agent connects, Puppet uses a tool called Facter to return information about that agent, including what operating system it is running. Puppet then chooses the appropriate package provider for that operating system and uses that provider to check if a specific package is installed. If the package is not installed, Puppet will install it. If the package is already installed, Puppet does nothing. Again, this important feature is called idempotency.

    Puppet will then report back to the Puppet master of its success or failure in applying the resource.





    facts and facter

    Puppet gathers facts about each of its nodes with a tool called facter. By default, the facter gathers information that is useful for system configuration such as OS names, hostnames, IP addresses, SSH keys, and etc. These facts are gathered when the agent runs. The facts are then sent to the Puppet master, and automatically created as variables available to Puppet at top scope.

    It is possible to add custom facts if we need other facts to perform our configurations.

    We can see the facts available on our clients by running the facter binary from the command line. Each fact is returned as a key => value pair, for example, to see a list of facts that are automatically being gathered on our EC2 agent node, we do:

    $ facter
    ubuntu@puppetagent:~$ facter
    architecture => amd64
    augeasversion => 1.2.0
    blockdevice_xvda_size => 8589934592
    blockdevices => xvda
    domain => example.com
    facterversion => 1.7.5
    filesystems => ext2,ext3,ext4,iso9660,vfat
    fqdn => puppetagent.example.com
    hardwareisa => x86_64
    hardwaremodel => x86_64
    hostname => puppetagent
    id => ubuntu
    interfaces => eth0,lo
    ipaddress => 172.31.37.15
    ipaddress_eth0 => 172.31.37.15
    ipaddress_lo => 127.0.0.1
    is_virtual => true
    kernel => Linux
    kernelmajversion => 3.13
    kernelrelease => 3.13.0-36-generic
    kernelversion => 3.13.0
    lsbdistcodename => trusty
    lsbdistdescription => Ubuntu 14.04.1 LTS
    lsbdistid => Ubuntu
    lsbdistrelease => 14.04
    lsbmajdistrelease => 14
    macaddress => 0a:b2:46:83:a8:c1
    macaddress_eth0 => 0a:b2:46:83:a8:c1
    memoryfree => 874.86 MB
    memoryfree_mb => 874.86
    memorysize => 992.44 MB
    memorysize_mb => 992.44
    memorytotal => 992.44 MB
    mtu_eth0 => 9001
    mtu_lo => 65536
    netmask => 255.255.240.0
    netmask_eth0 => 255.255.240.0
    netmask_lo => 255.0.0.0
    network_eth0 => 172.31.32.0
    network_lo => 127.0.0.0
    operatingsystem => Ubuntu
    operatingsystemrelease => 14.04
    osfamily => Debian
    path => /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
    physicalprocessorcount => 1
    processor0 => Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
    processorcount => 1
    ps => ps -ef
    puppetversion => 3.4.3
    rubysitedir => /usr/local/lib/site_ruby/1.9.1
    rubyversion => 1.9.3
    selinux => false
    sshdsakey => AAAA...
    sshecdsakey => AAAAE2V...
    sshfp_dsa => SSHFP 2 1 c07b...
    sshfp_ecdsa => SSHFP 3 1 86a...
    sshfp_rsa => SSHFP 1 1 273eab17...
    sshrsakey => AAAAB3NzaC1yc2EA...
    swapfree => 0.00 MB
    swapfree_mb => 0.00
    swapsize => 0.00 MB
    swapsize_mb => 0.00
    timezone => UTC
    uniqueid => 1fac0f25
    uptime => 18:28 hours
    uptime_days => 0
    uptime_hours => 18
    uptime_seconds => 66506
    virtual => xenu
    ubuntu@puppetagent:~$ 
    

    These facts are made available as variables that can be used in our Puppet configuration. When combined with the configuration we define in Puppet, they allow us to customize that configuration for each host. For example, they allow us to write generic resources, like our network settings, and customize them with data from our agents.

    Facter also helps Puppet understand how to manage particular resources on an agent. For example, if Facter tells Puppet that a host runs Ubuntu, then Puppet knows to use aptitude to install packages on that agent. Facter can also be extended to add custom facts for specific information about our hosts.





    Puppet's engine

    Puppet's engin is the Puppet's transactional layer. A Puppet transaction encompasses the process of configuring each host, including these steps:

    1. Interpret and compile our configuration.
    2. Communicate the compiled configuration to the agent.
    3. Apply the configuration on the agent.
    4. Report the results of that application to the master.

    The first step Puppet takes is to analyze our configuration and calculate how to apply it to our agent. To do this, Puppet creates a graph showing all resources, with their relationships to each other and to each agent. This allows Puppet to work out the order, based on relationships we create, in which to apply each resource to our host.

    Puppet then takes the resources and compiles them into a catalog for each agent. The catalog is sent to the host and applied by the Puppet agent. The results of this application are then sent back to the master in the form of a report.

    The transaction layer allows configurations to be created and applied repeatedly on the host. Again, Puppet calls this capability idempotency, meaning that multiple applications of the same operation will yield the same results. Puppet configuration can be safely run multiple times with the same outcome on our host, ensuring that our configuration stays consistent.

    Puppet is not fully transactional, though our transactions aren't logged (other than informative logging), and so we can't roll back transactions as we can with some databases. We can, however, model transactions in a noop, or no-operation mode, that allows us to test the execution of our changes without applying them.





    Manifests

    Puppet codes are called manifests. Manifests are composed of puppet code and their filenames use the .pp extension. The default main manifest in Puppet installed via apt is /etc/puppet/manifests/site.pp.

    We've already written very simple manifest in the previous chapter, Puppet with Amazon AWS III - Puppet running Hello World.

    The puppet agent periodically checks in with the puppet master, typically every 30 minutes. It sends facts about itself to the master, and pull a current catalog which is a compiled list of resources and their desired states that are relevant to the agent, determined by the main manifest. The agent node will then attempt to make the appropriate changes to achieve its desired state. This cycle will continue as long as the Puppet master is running and communicating with the agent nodes.





    Classes

    In Puppet, classes are code blocks that can be called in a code elsewhere. Using classes allows us to reuse Puppet code, and can make reading manifests easier.


    In Puppet, classes are code blocks that can be called in a code elsewhere. Using classes allows us to reuse Puppet code, and can make reading manifests easier.

    A class definition is where the code that composes a class lives. Defining a class makes the class available to be used in manifests, but does not actually evaluate anything.

    Here is a sample:

    class sample_class {
    ...
    }
    

    The above defines a class named "sample_class", and the Puppet code would go between the curly braces.

    A class declaration occurs when a class is called in a manifest. A class declaration tells Puppet to evaluate the code within the class. Class declarations come in two different flavors: normal and resource-like:

    A normal class declaration occurs when the include keyword is used in Puppet code:

    include sample_class
    

    This will cause Puppet to evaluate the code in sample_class.

    A resource-like class declaration occurs when a class is declared like a resource:

    class { 'sample_class': }
    

    The resource-like class declarations allows us to specify class parameters, which override the default values of class attributes:

    node 'host10' {
      class { 'apache': }             # use apache module
      apache::vhost { 'example.com':  # define vhost resource
        port    => '8080',
        docroot => '/var/www/html'
      }
    }
    




    Modules

    A module is a collection of manifests and data, and they have a specific directory structure. Modules are useful for organizing our Puppet code, because they allow us to split our code into multiple manifests. It is considered best practice to use modules to organize almost all of our Puppet manifests.

    To add a module to Puppet, place it in the /etc/puppet/modules directory.





    Noop mode (dry-run mode)

    Noop mode is a way for Puppet to simulate manifests and report pending changes. When noop mode is enabled (using the --noop flag), Puppet queries each resource and reports differences between the system and its desired state. This is useful for seeing what changes Puppet will make without actually executing the changes

    When Puppet is run in noop mode, it skips steps for updating the underlying system, and records differences between desired and observed state as events without making any modifications to the system.





    Catalog

    When configuring a node, puppet agent uses a document called a catalog, which it downloads from a puppet master server. The catalog describes the desired state for each resource that should be managed, and may specify dependency information for resources that should be managed in a certain order.

    A Puppet catalog is a collection of resources compiled from a set of manifests. The catalog is a composition of resources that are used to model a service or a system. The catalog is easily introspected to better understand how a system should be configured, and what dependencies might exist.





    graph & dependencies

    The data structure of the catalog is a graph. Graphs are characterized as a collection of objects where some of the object pairs are interconnected. The objects are referred to as vertices (Puppet resources) and the the links between pairs of those objects are edges (dependencies).

    Resources deploying an application often require individual components to be configured in a specific order. These dependencies are expressed as relationships in Puppet.

    The order of resources can be specified using the require and before resource metaparameters.

    Let's look at the following example for dependency:

    # modules/nginx/manifests/init.pp
    # Manage nginx webserver
    class nginx {
      package { 'apache2.2-common':
        ensure => absent,
      }
      package { 'nginx':
        ensure => installed,
        require => Package['apache2.2-common'],
      }
      service { 'nginx':
        ensure  => running,
        require => Package['nginx'],
      } 
    }
    

    On Ubuntu, the default setup includes the Apache web server, which would conflict with nginx if we tried to run it at the same time. So, by specifying ensure => absent, we remove the Apache package. Then, the next section declares the nginx package:

    class nginx {
      ...
      package { 'nginx':
        ensure => installed,
        require => Package['apache2.2-common'],
      }
      ...
    }
    

    The require attribute tells Puppet that this resource depends on another resource (here, Apache), which must be applied first. In this case, we want the removal of Apache to be applied before the installation of nginx.

    Next, we declare the nginx service:

       service { 'nginx':
         ensure  => running,
         require => Package['nginx'],
    }
    






    features

    Features are abilities that some providers may not support. Generally, a feature will correspond to some allowed values for a resource attribute; for example, if a package provider supports the purgeable feature, we can specify

    ensure => purged
    

    to delete config files installed by the package.

    Resource types define the set of features they can use, and providers can declare which features they provide.



    Puppet

  • Puppet with Amazon AWS I - Puppet accounts
  • Puppet with Amazon AWS II (ssh & puppetmaster/puppet install)
  • Puppet with Amazon AWS III - Puppet running Hello World
  • Puppet Code Basics - Terminology
  • Puppet with Amazon AWS on CentOS 7 (I) - Master setup on EC2
  • Puppet with Amazon AWS on CentOS 7 (II) - Configuring a Puppet Master Server with Passenger and Apache
  • Puppet master /agent ubuntu 14.04 install on EC2 nodes
  • Puppet master post install tasks - master's names and certificates setup,
  • Puppet agent post install tasks - configure agent, hostnames, and sign request
  • EC2 Puppet master/agent basic tasks - main manifest with a file resource/module and immediate execution on an agent node
  • Setting up puppet master and agent with simple scripts on EC2 / remote install from desktop
  • EC2 Puppet - Install lamp with a manifest ('puppet apply')
  • EC2 Puppet - Install lamp with a module
  • Puppet variable scope
  • Puppet packages, services, and files
  • Puppet packages, services, and files II with nginx
  • Puppet templates
  • Puppet creating and managing user accounts with SSH access
  • Puppet Locking user accounts & deploying sudoers file
  • Puppet exec resource
  • Puppet classes and modules
  • Puppet Forge modules
  • Puppet Express
  • Puppet Express 2
  • Puppet 4 : Changes
  • Puppet --configprint
  • Puppet with Docker
  • Puppet 6.0.2 install on Ubuntu 18.04








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    Sponsor Open Source development activities and free contents for everyone.

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    - K Hong







    Puppet



    Puppet with Amazon AWS I - Puppet accounts

    Puppet with Amazon AWS II (ssh & puppetmaster/puppet install)

    Puppet with Amazon AWS III - Puppet running Hello World

    Puppet Code Basics - Terminology

    Puppet with Amazon AWS on CentOS 7 (I) - Master setup on EC2

    Puppet with Amazon AWS on CentOS 7 (II) - Configuring a Puppet Master Server with Passenger and Apache

    Puppet master /agent ubuntu 14.04 install on EC2 nodes

    Puppet master post install tasks - master's names and certificates setup,

    Puppet agent post install tasks - configure agent, hostnames, and sign request

    EC2 Puppet master/agent basic tasks - main manifest with a file resource/module and immediate execution on an agent node

    Setting up puppet master and agent with simple scripts on EC2 / remote install from desktop

    EC2 Puppet - Install lamp with a manifest ('puppet apply')

    EC2 Puppet - Install lamp with a module

    Puppet variable scope

    Puppet packages, services, and files

    Puppet packages, services, and files II with nginx Puppet templates

    Puppet creating and managing user accounts with SSH access

    Puppet Locking user accounts & deploying sudoers file

    Puppet exec resource

    Puppet classes and modules

    Puppet Forge modules

    Puppet Express

    Puppet Express 2

    Puppet 4 : Changes

    Puppet --configprint

    Puppet with Docker

    Puppet 6.0.2 install on Ubuntu 18.04




    Sponsor Open Source development activities and free contents for everyone.

    Thank you.

    - K Hong







    DevOps



    Phases of Continuous Integration

    Software development methodology

    Introduction to DevOps

    Samples of Continuous Integration (CI) / Continuous Delivery (CD) - Use cases

    Artifact repository and repository management

    Linux - General, shell programming, processes & signals ...

    RabbitMQ...

    MariaDB

    New Relic APM with NodeJS : simple agent setup on AWS instance

    Nagios on CentOS 7 with Nagios Remote Plugin Executor (NRPE)

    Nagios - The industry standard in IT infrastructure monitoring on Ubuntu

    Zabbix 3 install on Ubuntu 14.04 & adding hosts / items / graphs

    Datadog - Monitoring with PagerDuty/HipChat and APM

    Install and Configure Mesos Cluster

    Cassandra on a Single-Node Cluster

    Container Orchestration : Docker Swarm vs Kubernetes vs Apache Mesos

    OpenStack install on Ubuntu 16.04 server - DevStack

    AWS EC2 Container Service (ECS) & EC2 Container Registry (ECR) | Docker Registry

    CI/CD with CircleCI - Heroku deploy

    Introduction to Terraform with AWS elb & nginx

    Docker & Kubernetes

    Kubernetes I - Running Kubernetes Locally via Minikube

    Kubernetes II - kops on AWS

    Kubernetes III - kubeadm on AWS

    AWS : EKS (Elastic Container Service for Kubernetes)

    CI/CD Github actions

    CI/CD Gitlab



    DevOps / Sys Admin Q & A



    (1A) - Linux Commands

    (1B) - Linux Commands

    (2) - Networks

    (2B) - Networks

    (3) - Linux Systems

    (4) - Scripting (Ruby/Shell)

    (5) - Configuration Management

    (6) - AWS VPC setup (public/private subnets with NAT)

    (6B) - AWS VPC Peering

    (7) - Web server

    (8) - Database

    (9) - Linux System / Application Monitoring, Performance Tuning, Profiling Methods & Tools

    (10) - Trouble Shooting: Load, Throughput, Response time and Leaks

    (11) - SSH key pairs, SSL Certificate, and SSL Handshake

    (12) - Why is the database slow?

    (13) - Is my web site down?

    (14) - Is my server down?

    (15) - Why is the server sluggish?

    (16A) - Serving multiple domains using Virtual Hosts - Apache

    (16B) - Serving multiple domains using server block - Nginx

    (16C) - Reverse proxy servers and load balancers - Nginx

    (17) - Linux startup process

    (18) - phpMyAdmin with Nginx virtual host as a subdomain

    (19) - How to SSH login without password?

    (20) - Log Rotation

    (21) - Monitoring Metrics

    (22) - lsof

    (23) - Wireshark introduction

    (24) - User account management

    (25) - Domain Name System (DNS)

    (26) - NGINX SSL/TLS, Caching, and Session

    (27) - Troubleshooting 5xx server errors

    (28) - Linux Systemd: journalctl

    (29) - Linux Systemd: FirewallD

    (30) - Linux: SELinux

    (31) - Linux: Samba

    (0) - Linux Sys Admin's Day to Day tasks





    Docker & K8s



    Docker install on Amazon Linux AMI

    Docker install on EC2 Ubuntu 14.04

    Docker container vs Virtual Machine

    Docker install on Ubuntu 14.04

    Docker Hello World Application

    Nginx image - share/copy files, Dockerfile

    Working with Docker images : brief introduction

    Docker image and container via docker commands (search, pull, run, ps, restart, attach, and rm)

    More on docker run command (docker run -it, docker run --rm, etc.)

    Docker Networks - Bridge Driver Network

    Docker Persistent Storage

    File sharing between host and container (docker run -d -p -v)

    Linking containers and volume for datastore

    Dockerfile - Build Docker images automatically I - FROM, MAINTAINER, and build context

    Dockerfile - Build Docker images automatically II - revisiting FROM, MAINTAINER, build context, and caching

    Dockerfile - Build Docker images automatically III - RUN

    Dockerfile - Build Docker images automatically IV - CMD

    Dockerfile - Build Docker images automatically V - WORKDIR, ENV, ADD, and ENTRYPOINT

    Docker - Apache Tomcat

    Docker - NodeJS

    Docker - NodeJS with hostname

    Docker Compose - NodeJS with MongoDB

    Docker - Prometheus and Grafana with Docker-compose

    Docker - StatsD/Graphite/Grafana

    Docker - Deploying a Java EE JBoss/WildFly Application on AWS Elastic Beanstalk Using Docker Containers

    Docker : NodeJS with GCP Kubernetes Engine

    Docker : Jenkins Multibranch Pipeline with Jenkinsfile and Github

    Docker : Jenkins Master and Slave

    Docker - ELK : ElasticSearch, Logstash, and Kibana

    Docker - ELK 7.6 : Elasticsearch on Centos 7 Docker - ELK 7.6 : Filebeat on Centos 7

    Docker - ELK 7.6 : Logstash on Centos 7

    Docker - ELK 7.6 : Kibana on Centos 7 Part 1

    Docker - ELK 7.6 : Kibana on Centos 7 Part 2

    Docker - ELK 7.6 : Elastic Stack with Docker Compose

    Docker - Deploy Elastic Cloud on Kubernetes (ECK) via Elasticsearch operator on minikube

    Docker - Deploy Elastic Stack via Helm on minikube

    Docker Compose - A gentle introduction with WordPress

    Docker Compose - MySQL

    MEAN Stack app on Docker containers : micro services

    Docker Compose - Hashicorp's Vault and Consul Part A (install vault, unsealing, static secrets, and policies)

    Docker Compose - Hashicorp's Vault and Consul Part B (EaaS, dynamic secrets, leases, and revocation)

    Docker Compose - Hashicorp's Vault and Consul Part C (Consul)

    Docker Compose with two containers - Flask REST API service container and an Apache server container

    Docker compose : Nginx reverse proxy with multiple containers

    Docker compose : Nginx reverse proxy with multiple containers

    Docker & Kubernetes : Envoy - Getting started

    Docker & Kubernetes : Envoy - Front Proxy

    Docker & Kubernetes : Ambassador - Envoy API Gateway on Kubernetes

    Docker Packer

    Docker Cheat Sheet

    Docker Q & A

    Kubernetes Q & A - Part I

    Kubernetes Q & A - Part II

    Docker - Run a React app in a docker

    Docker - Run a React app in a docker II (snapshot app with nginx)

    Docker - NodeJS and MySQL app with React in a docker

    Docker - Step by Step NodeJS and MySQL app with React - I

    Installing LAMP via puppet on Docker

    Docker install via Puppet

    Nginx Docker install via Ansible

    Apache Hadoop CDH 5.8 Install with QuickStarts Docker

    Docker - Deploying Flask app to ECS

    Docker Compose - Deploying WordPress to AWS

    Docker - WordPress Deploy to ECS with Docker-Compose (ECS-CLI EC2 type)

    Docker - ECS Fargate

    Docker - AWS ECS service discovery with Flask and Redis

    Docker & Kubernetes: minikube version: v1.31.2, 2023

    Docker & Kubernetes 1 : minikube

    Docker & Kubernetes 2 : minikube Django with Postgres - persistent volume

    Docker & Kubernetes 3 : minikube Django with Redis and Celery

    Docker & Kubernetes 4 : Django with RDS via AWS Kops

    Docker & Kubernetes : Kops on AWS

    Docker & Kubernetes : Ingress controller on AWS with Kops

    Docker & Kubernetes : HashiCorp's Vault and Consul on minikube

    Docker & Kubernetes : HashiCorp's Vault and Consul - Auto-unseal using Transit Secrets Engine

    Docker & Kubernetes : Persistent Volumes & Persistent Volumes Claims - hostPath and annotations

    Docker & Kubernetes : Persistent Volumes - Dynamic volume provisioning

    Docker & Kubernetes : DaemonSet

    Docker & Kubernetes : Secrets

    Docker & Kubernetes : kubectl command

    Docker & Kubernetes : Assign a Kubernetes Pod to a particular node in a Kubernetes cluster

    Docker & Kubernetes : Configure a Pod to Use a ConfigMap

    AWS : EKS (Elastic Container Service for Kubernetes)

    Docker & Kubernetes : Run a React app in a minikube

    Docker & Kubernetes : Minikube install on AWS EC2

    Docker & Kubernetes : Cassandra with a StatefulSet

    Docker & Kubernetes : Terraform and AWS EKS

    Docker & Kubernetes : Pods and Service definitions

    Docker & Kubernetes : Headless service and discovering pods

    Docker & Kubernetes : Service IP and the Service Type

    Docker & Kubernetes : Kubernetes DNS with Pods and Services

    Docker & Kubernetes - Scaling and Updating application

    Docker & Kubernetes : Horizontal pod autoscaler on minikubes

    Docker & Kubernetes : NodePort vs LoadBalancer vs Ingress

    Docker & Kubernetes : Load Testing with Locust on GCP Kubernetes

    Docker & Kubernetes : From a monolithic app to micro services on GCP Kubernetes

    Docker & Kubernetes : Rolling updates

    Docker & Kubernetes : Deployments to GKE (Rolling update, Canary and Blue-green deployments)

    Docker & Kubernetes : Slack Chat Bot with NodeJS on GCP Kubernetes

    Docker & Kubernetes : Continuous Delivery with Jenkins Multibranch Pipeline for Dev, Canary, and Production Environments on GCP Kubernetes

    Docker & Kubernetes - MongoDB with StatefulSets on GCP Kubernetes Engine

    Docker & Kubernetes : Nginx Ingress Controller on minikube

    Docker & Kubernetes : Setting up Ingress with NGINX Controller on Minikube (Mac)

    Docker & Kubernetes : Nginx Ingress Controller for Dashboard service on Minikube

    Docker & Kubernetes : Nginx Ingress Controller on GCP Kubernetes

    Docker & Kubernetes : Kubernetes Ingress with AWS ALB Ingress Controller in EKS

    Docker & Kubernetes : MongoDB / MongoExpress on Minikube

    Docker & Kubernetes : Setting up a private cluster on GCP Kubernetes

    Docker & Kubernetes : Kubernetes Namespaces (default, kube-public, kube-system) and switching namespaces (kubens)

    Docker & Kubernetes : StatefulSets on minikube

    Docker & Kubernetes : StatefulSets on minikube

    Docker & Kubernetes : RBAC

    Docker & Kubernetes Service Account, RBAC, and IAM

    Docker & Kubernetes - Kubernetes Service Account, RBAC, IAM with EKS ALB, Part 1

    Docker & Kubernetes : Helm Chart

    Docker & Kubernetes : My first Helm deploy

    Docker & Kubernetes : Readiness and Liveness Probes

    Docker & Kubernetes : Helm chart repository with Github pages

    Docker & Kubernetes : Deploying WordPress and MariaDB with Ingress to Minikube using Helm Chart

    Docker & Kubernetes : Deploying WordPress and MariaDB to AWS using Helm 2 Chart

    Docker & Kubernetes : Deploying WordPress and MariaDB to AWS using Helm 3 Chart

    Docker & Kubernetes : Helm Chart for Node/Express and MySQL with Ingress

    Docker & Kubernetes : Docker_Helm_Chart_Node_Expess_MySQL_Ingress.php

    Docker & Kubernetes: Deploy Prometheus and Grafana using Helm and Prometheus Operator - Monitoring Kubernetes node resources out of the box

    Docker & Kubernetes : Deploy Prometheus and Grafana using kube-prometheus-stack Helm Chart

    Docker & Kubernetes : Istio (service mesh) sidecar proxy on GCP Kubernetes

    Docker & Kubernetes : Istio on EKS

    Docker & Kubernetes : Istio on Minikube with AWS EC2 for Bookinfo Application

    Docker & Kubernetes : Deploying .NET Core app to Kubernetes Engine and configuring its traffic managed by Istio (Part I)

    Docker & Kubernetes : Deploying .NET Core app to Kubernetes Engine and configuring its traffic managed by Istio (Part II - Prometheus, Grafana, pin a service, split traffic, and inject faults)

    Docker & Kubernetes : Helm Package Manager with MySQL on GCP Kubernetes Engine

    Docker & Kubernetes : Deploying Memcached on Kubernetes Engine

    Docker & Kubernetes : EKS Control Plane (API server) Metrics with Prometheus

    Docker & Kubernetes : Spinnaker on EKS with Halyard

    Docker & Kubernetes : Continuous Delivery Pipelines with Spinnaker and Kubernetes Engine

    Docker & Kubernetes: Multi-node Local Kubernetes cluster - Kubeadm-dind(docker-in-docker)

    Docker & Kubernetes: Multi-node Local Kubernetes cluster - Kubeadm-kind(k8s-in-docker)

    Docker & Kubernetes : nodeSelector, nodeAffinity, taints/tolerations, pod affinity and anti-affinity - Assigning Pods to Nodes

    Docker & Kubernetes : Jenkins-X on EKS

    Docker & Kubernetes : ArgoCD App of Apps with Heml on Kubernetes

    Docker & Kubernetes : ArgoCD on Kubernetes cluster

    Docker & Kubernetes : GitOps with ArgoCD for Continuous Delivery to Kubernetes clusters (minikube) - guestbook





    Terraform



    Introduction to Terraform with AWS elb & nginx

    Terraform Tutorial - terraform format(tf) and interpolation(variables)

    Terraform Tutorial - user_data

    Terraform Tutorial - variables

    Terraform 12 Tutorial - Loops with count, for_each, and for

    Terraform Tutorial - creating multiple instances (count, list type and element() function)

    Terraform Tutorial - State (terraform.tfstate) & terraform import

    Terraform Tutorial - Output variables

    Terraform Tutorial - Destroy

    Terraform Tutorial - Modules

    Terraform Tutorial - Creating AWS S3 bucket / SQS queue resources and notifying bucket event to queue

    Terraform Tutorial - AWS ASG and Modules

    Terraform Tutorial - VPC, Subnets, RouteTable, ELB, Security Group, and Apache server I

    Terraform Tutorial - VPC, Subnets, RouteTable, ELB, Security Group, and Apache server II

    Terraform Tutorial - Docker nginx container with ALB and dynamic autoscaling

    Terraform Tutorial - AWS ECS using Fargate : Part I

    Hashicorp Vault

    HashiCorp Vault Agent

    HashiCorp Vault and Consul on AWS with Terraform

    Ansible with Terraform

    AWS IAM user, group, role, and policies - part 1

    AWS IAM user, group, role, and policies - part 2

    Delegate Access Across AWS Accounts Using IAM Roles

    AWS KMS

    terraform import & terraformer import

    Terraform commands cheat sheet

    Terraform Cloud

    Terraform 14

    Creating Private TLS Certs







    Ansible 2.0



    What is Ansible?

    Quick Preview - Setting up web servers with Nginx, configure environments, and deploy an App

    SSH connection & running commands

    Ansible: Playbook for Tomcat 9 on Ubuntu 18.04 systemd with AWS

    Modules

    Playbooks

    Handlers

    Roles

    Playbook for LAMP HAProxy

    Installing Nginx on a Docker container

    AWS : Creating an ec2 instance & adding keys to authorized_keys

    AWS : Auto Scaling via AMI

    AWS : creating an ELB & registers an EC2 instance from the ELB

    Deploying Wordpress micro-services with Docker containers on Vagrant box via Ansible

    Setting up Apache web server

    Deploying a Go app to Minikube

    Ansible with Terraform





    Chef



    What is Chef?

    Chef install on Ubuntu 14.04 - Local Workstation via omnibus installer

    Setting up Hosted Chef server

    VirtualBox via Vagrant with Chef client provision

    Creating and using cookbooks on a VirtualBox node

    Chef server install on Ubuntu 14.04

    Chef workstation setup on EC2 Ubuntu 14.04

    Chef Client Node - Knife Bootstrapping a node on EC2 ubuntu 14.04





    Elasticsearch search engine, Logstash, and Kibana



    Elasticsearch, search engine

    Logstash with Elasticsearch

    Logstash, Elasticsearch, and Kibana 4

    Elasticsearch with Redis broker and Logstash Shipper and Indexer

    Samples of ELK architecture

    Elasticsearch indexing performance



    Vagrant



    VirtualBox & Vagrant install on Ubuntu 14.04

    Creating a VirtualBox using Vagrant

    Provisioning

    Networking - Port Forwarding

    Vagrant Share

    Vagrant Rebuild & Teardown

    Vagrant & Ansible





    Big Data & Hadoop Tutorials



    Hadoop 2.6 - Installing on Ubuntu 14.04 (Single-Node Cluster)

    Hadoop 2.6.5 - Installing on Ubuntu 16.04 (Single-Node Cluster)

    Hadoop - Running MapReduce Job

    Hadoop - Ecosystem

    CDH5.3 Install on four EC2 instances (1 Name node and 3 Datanodes) using Cloudera Manager 5

    CDH5 APIs

    QuickStart VMs for CDH 5.3

    QuickStart VMs for CDH 5.3 II - Testing with wordcount

    QuickStart VMs for CDH 5.3 II - Hive DB query

    Scheduled start and stop CDH services

    CDH 5.8 Install with QuickStarts Docker

    Zookeeper & Kafka Install

    Zookeeper & Kafka - single node single broker

    Zookeeper & Kafka - Single node and multiple brokers

    OLTP vs OLAP

    Apache Hadoop Tutorial I with CDH - Overview

    Apache Hadoop Tutorial II with CDH - MapReduce Word Count

    Apache Hadoop Tutorial III with CDH - MapReduce Word Count 2

    Apache Hadoop (CDH 5) Hive Introduction

    CDH5 - Hive Upgrade to 1.3 to from 1.2

    Apache Hive 2.1.0 install on Ubuntu 16.04

    Apache HBase in Pseudo-Distributed mode

    Creating HBase table with HBase shell and HUE

    Apache Hadoop : Hue 3.11 install on Ubuntu 16.04

    Creating HBase table with Java API

    HBase - Map, Persistent, Sparse, Sorted, Distributed and Multidimensional

    Flume with CDH5: a single-node Flume deployment (telnet example)

    Apache Hadoop (CDH 5) Flume with VirtualBox : syslog example via NettyAvroRpcClient

    List of Apache Hadoop hdfs commands

    Apache Hadoop : Creating Wordcount Java Project with Eclipse Part 1

    Apache Hadoop : Creating Wordcount Java Project with Eclipse Part 2

    Apache Hadoop : Creating Card Java Project with Eclipse using Cloudera VM UnoExample for CDH5 - local run

    Apache Hadoop : Creating Wordcount Maven Project with Eclipse

    Wordcount MapReduce with Oozie workflow with Hue browser - CDH 5.3 Hadoop cluster using VirtualBox and QuickStart VM

    Spark 1.2 using VirtualBox and QuickStart VM - wordcount

    Spark Programming Model : Resilient Distributed Dataset (RDD) with CDH

    Apache Spark 2.0.2 with PySpark (Spark Python API) Shell

    Apache Spark 2.0.2 tutorial with PySpark : RDD

    Apache Spark 2.0.0 tutorial with PySpark : Analyzing Neuroimaging Data with Thunder

    Apache Spark Streaming with Kafka and Cassandra

    Apache Spark 1.2 with PySpark (Spark Python API) Wordcount using CDH5

    Apache Spark 1.2 Streaming

    Apache Drill with ZooKeeper install on Ubuntu 16.04 - Embedded & Distributed

    Apache Drill - Query File System, JSON, and Parquet

    Apache Drill - HBase query

    Apache Drill - Hive query

    Apache Drill - MongoDB query





    Redis In-Memory Database



    Redis vs Memcached

    Redis 3.0.1 Install

    Setting up multiple server instances on a Linux host

    Redis with Python

    ELK : Elasticsearch with Redis broker and Logstash Shipper and Indexer



    GCP (Google Cloud Platform)



    GCP: Creating an Instance

    GCP: gcloud compute command-line tool

    GCP: Deploying Containers

    GCP: Kubernetes Quickstart

    GCP: Deploying a containerized web application via Kubernetes

    GCP: Django Deploy via Kubernetes I (local)

    GCP: Django Deploy via Kubernetes II (GKE)





    AWS (Amazon Web Services)



    AWS : EKS (Elastic Container Service for Kubernetes)

    AWS : Creating a snapshot (cloning an image)

    AWS : Attaching Amazon EBS volume to an instance

    AWS : Adding swap space to an attached volume via mkswap and swapon

    AWS : Creating an EC2 instance and attaching Amazon EBS volume to the instance using Python boto module with User data

    AWS : Creating an instance to a new region by copying an AMI

    AWS : S3 (Simple Storage Service) 1

    AWS : S3 (Simple Storage Service) 2 - Creating and Deleting a Bucket

    AWS : S3 (Simple Storage Service) 3 - Bucket Versioning

    AWS : S3 (Simple Storage Service) 4 - Uploading a large file

    AWS : S3 (Simple Storage Service) 5 - Uploading folders/files recursively

    AWS : S3 (Simple Storage Service) 6 - Bucket Policy for File/Folder View/Download

    AWS : S3 (Simple Storage Service) 7 - How to Copy or Move Objects from one region to another

    AWS : S3 (Simple Storage Service) 8 - Archiving S3 Data to Glacier

    AWS : Creating a CloudFront distribution with an Amazon S3 origin

    AWS : Creating VPC with CloudFormation

    WAF (Web Application Firewall) with preconfigured CloudFormation template and Web ACL for CloudFront distribution

    AWS : CloudWatch & Logs with Lambda Function / S3

    AWS : Lambda Serverless Computing with EC2, CloudWatch Alarm, SNS

    AWS : Lambda and SNS - cross account

    AWS : CLI (Command Line Interface)

    AWS : CLI (ECS with ALB & autoscaling)

    AWS : ECS with cloudformation and json task definition

    AWS : AWS Application Load Balancer (ALB) and ECS with Flask app

    AWS : Load Balancing with HAProxy (High Availability Proxy)

    AWS : VirtualBox on EC2

    AWS : NTP setup on EC2

    AWS: jq with AWS

    AWS : AWS & OpenSSL : Creating / Installing a Server SSL Certificate

    AWS : OpenVPN Access Server 2 Install

    AWS : VPC (Virtual Private Cloud) 1 - netmask, subnets, default gateway, and CIDR

    AWS : VPC (Virtual Private Cloud) 2 - VPC Wizard

    AWS : VPC (Virtual Private Cloud) 3 - VPC Wizard with NAT

    AWS : DevOps / Sys Admin Q & A (VI) - AWS VPC setup (public/private subnets with NAT)

    AWS : OpenVPN Protocols : PPTP, L2TP/IPsec, and OpenVPN

    AWS : Autoscaling group (ASG)

    AWS : Setting up Autoscaling Alarms and Notifications via CLI and Cloudformation

    AWS : Adding a SSH User Account on Linux Instance

    AWS : Windows Servers - Remote Desktop Connections using RDP

    AWS : Scheduled stopping and starting an instance - python & cron

    AWS : Detecting stopped instance and sending an alert email using Mandrill smtp

    AWS : Elastic Beanstalk with NodeJS

    AWS : Elastic Beanstalk Inplace/Rolling Blue/Green Deploy

    AWS : Identity and Access Management (IAM) Roles for Amazon EC2

    AWS : Identity and Access Management (IAM) Policies, sts AssumeRole, and delegate access across AWS accounts

    AWS : Identity and Access Management (IAM) sts assume role via aws cli2

    AWS : Creating IAM Roles and associating them with EC2 Instances in CloudFormation

    AWS Identity and Access Management (IAM) Roles, SSO(Single Sign On), SAML(Security Assertion Markup Language), IdP(identity provider), STS(Security Token Service), and ADFS(Active Directory Federation Services)

    AWS : Amazon Route 53

    AWS : Amazon Route 53 - DNS (Domain Name Server) setup

    AWS : Amazon Route 53 - subdomain setup and virtual host on Nginx

    AWS Amazon Route 53 : Private Hosted Zone

    AWS : SNS (Simple Notification Service) example with ELB and CloudWatch

    AWS : Lambda with AWS CloudTrail

    AWS : SQS (Simple Queue Service) with NodeJS and AWS SDK

    AWS : Redshift data warehouse

    AWS : CloudFormation - templates, change sets, and CLI

    AWS : CloudFormation Bootstrap UserData/Metadata

    AWS : CloudFormation - Creating an ASG with rolling update

    AWS : Cloudformation Cross-stack reference

    AWS : OpsWorks

    AWS : Network Load Balancer (NLB) with Autoscaling group (ASG)

    AWS CodeDeploy : Deploy an Application from GitHub

    AWS EC2 Container Service (ECS)

    AWS EC2 Container Service (ECS) II

    AWS Hello World Lambda Function

    AWS Lambda Function Q & A

    AWS Node.js Lambda Function & API Gateway

    AWS API Gateway endpoint invoking Lambda function

    AWS API Gateway invoking Lambda function with Terraform

    AWS API Gateway invoking Lambda function with Terraform - Lambda Container

    Amazon Kinesis Streams

    Kinesis Data Firehose with Lambda and ElasticSearch

    Amazon DynamoDB

    Amazon DynamoDB with Lambda and CloudWatch

    Loading DynamoDB stream to AWS Elasticsearch service with Lambda

    Amazon ML (Machine Learning)

    Simple Systems Manager (SSM)

    AWS : RDS Connecting to a DB Instance Running the SQL Server Database Engine

    AWS : RDS Importing and Exporting SQL Server Data

    AWS : RDS PostgreSQL & pgAdmin III

    AWS : RDS PostgreSQL 2 - Creating/Deleting a Table

    AWS : MySQL Replication : Master-slave

    AWS : MySQL backup & restore

    AWS RDS : Cross-Region Read Replicas for MySQL and Snapshots for PostgreSQL

    AWS : Restoring Postgres on EC2 instance from S3 backup

    AWS : Q & A

    AWS : Security

    AWS : Security groups vs. network ACLs

    AWS : Scaling-Up

    AWS : Networking

    AWS : Single Sign-on (SSO) with Okta

    AWS : JIT (Just-in-Time) with Okta



    Jenkins



    Install

    Configuration - Manage Jenkins - security setup

    Adding job and build

    Scheduling jobs

    Managing_plugins

    Git/GitHub plugins, SSH keys configuration, and Fork/Clone

    JDK & Maven setup

    Build configuration for GitHub Java application with Maven

    Build Action for GitHub Java application with Maven - Console Output, Updating Maven

    Commit to changes to GitHub & new test results - Build Failure

    Commit to changes to GitHub & new test results - Successful Build

    Adding code coverage and metrics

    Jenkins on EC2 - creating an EC2 account, ssh to EC2, and install Apache server

    Jenkins on EC2 - setting up Jenkins account, plugins, and Configure System (JAVA_HOME, MAVEN_HOME, notification email)

    Jenkins on EC2 - Creating a Maven project

    Jenkins on EC2 - Configuring GitHub Hook and Notification service to Jenkins server for any changes to the repository

    Jenkins on EC2 - Line Coverage with JaCoCo plugin

    Setting up Master and Slave nodes

    Jenkins Build Pipeline & Dependency Graph Plugins

    Jenkins Build Flow Plugin

    Pipeline Jenkinsfile with Classic / Blue Ocean

    Jenkins Setting up Slave nodes on AWS

    Jenkins Q & A





    Powershell 4 Tutorial



    Powersehll : Introduction

    Powersehll : Help System

    Powersehll : Running commands

    Powersehll : Providers

    Powersehll : Pipeline

    Powersehll : Objects

    Powershell : Remote Control

    Windows Management Instrumentation (WMI)

    How to Enable Multiple RDP Sessions in Windows 2012 Server

    How to install and configure FTP server on IIS 8 in Windows 2012 Server

    How to Run Exe as a Service on Windows 2012 Server

    SQL Inner, Left, Right, and Outer Joins





    Git/GitHub Tutorial



    One page express tutorial for GIT and GitHub

    Installation

    add/status/log

    commit and diff

    git commit --amend

    Deleting and Renaming files

    Undoing Things : File Checkout & Unstaging

    Reverting commit

    Soft Reset - (git reset --soft <SHA key>)

    Mixed Reset - Default

    Hard Reset - (git reset --hard <SHA key>)

    Creating & switching Branches

    Fast-forward merge

    Rebase & Three-way merge

    Merge conflicts with a simple example

    GitHub Account and SSH

    Uploading to GitHub

    GUI

    Branching & Merging

    Merging conflicts

    GIT on Ubuntu and OS X - Focused on Branching

    Setting up a remote repository / pushing local project and cloning the remote repo

    Fork vs Clone, Origin vs Upstream

    Git/GitHub Terminologies

    Git/GitHub via SourceTree II : Branching & Merging

    Git/GitHub via SourceTree III : Git Work Flow

    Git/GitHub via SourceTree IV : Git Reset

    Git wiki - quick command reference






    Subversion

    Subversion Install On Ubuntu 14.04

    Subversion creating and accessing I

    Subversion creating and accessing II








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