Devops: puppet, docker

Cleaning up old files How to do it Auditing resources How to do it See also Temporarily disabling resources How to do it Managing Applications Introduction Using public modules How to do it Managing Apache servers How to do it Creating Apache virtual hosts How to do it Creating nginx virtual hosts How to do it Creating databases and users How to do it Building high-availability services using Heartbeat Getting ready How to do it… How it works… There's more Managing NFS servers and file shares How to do it Managing Docker with Puppet Getting ready How to do it See also Adding external facts Getting ready How to do it Debugging external facts Using external facts in Puppet See also Setting facts as environment variables How to do it Generating manifests with the Puppet resource command How to do it Generating manifests with other tools Getting ready How to do it Using an external node classifier Getting ready How to do it See also Creating your own resource types How to do it Documentation Validation Creating your own providers How to do it Creating custom functions How to do it Testing your puppet manifests with rspec-puppet Getting ready How to do it See also Using librarian-puppet Getting ready How to do it Using r10k Getting ready How to do it Monitoring, Reporting, and Troubleshooting Introduction Noop — the don't change anything option How to do it See also Logging command output How to do it The configuration policy of Chef allows users to define infrastructure as code.

Its development tools can test configuration updates on workstations, development infrastructure, and cloud instances. It builds on Linux Containers LxC to create virtual environments and enables users to create, deploy, run, and manage applications within the containers. Docker provides consistency across a broad range of development and release cycles and standardizes the environment.

Docker Engine includes a daemon process the dockerd command , a rest API to specify the interfaces that programs use to interact to the daemon, and a command line interface CLI client. Because of the standardization, the developers can more efficiently analyze and fix bugs in the applications, and make changes in the Docker images as well. The users can build a single image and use it across every step during the deployment.

The client-server architecture of Docker enables the client to interact with the daemon, which performs the tasks like building, running, and distributing the containers. Docker enables the users to build applications securely both on-premises and the cloud. Its design is modular so that it can integrate with the existing environments easily.

We all are familiar with the issues that enterprises experienced traditionally when they had to migrate their servers from one service provider to another, may be because of better pricing structure or features. Updating and migrating became particularly painful as different websites used specific software versions. But containerization has successfully solved this problem. The DevOps focus has now shifted to writing scalable applications that can be distributed, deployed and run effectively anywhere.

Where Docker provided the first step in helping developers build, ship and run software easily, Kubernetes has helped take a giant leap by helping DevOps run containers in a cluster, manage applications across different containers and monitor them effectively as well.

It allows vendors to build systems using core Kubernetes technology as it is built on a modular API core. It helps developers deploy, scale and manage containerized applications with automation. Kubernetes is portable and can be used with public, private, hybrid, multi-cloud environments; extensible with being pluggable, modular, composable, hookable; and is self-healing with features like auto-replication, auto-placement, auto-scaling, and auto-restart.

It is an open source configuration management tool, using which developers and operations teams can securely deliver and operate software infrastructure, applications anywhere.

It enables users to understand and act on the changes that take place in applications along with the in-depth reports and real-time alerts. Users can identify those changes, and remediate the issues. The infrastructure is treated as a code by Puppet, which helps in easier reviewing and testing of configurations across all the environments- development, test, and production. Meanwhile, the Jenkins Pipeline plugin lets users set up continuous integration pipelines in Enterprise and build Puppet orchestration jobs targeting deployments to particular applications or infrastructure.

Puppet could, for example, move software from Jenkins into production, staging, or pre-production. Finally, Puppet's VMware vRealize plugin for Enterprise provides self-service provisioning and enables development of blueprint templates for virtual machines using the vRealize Automation interface.

Shipping next month, the plugin also triggers Enterprise to manage the VM so that IT teams have automated, self-service provisioning while enforcing desired configurations on an ongoing basis; developers thus get configured infrastructure upon request. Also on the docket for Puppet today is Enterprise Most changes in Puppet are intentional, but in many cases, something can be changed in the infrastructure that is out of compliance with Puppet.

With so many IT management and DevOps tools on the market, both open source and commercial, it's difficult to know where to start.

DevOps is incredibly powerful when implemented correctly, and here's how to get it done. This Learning Path is a large resource of recipes to ease your daily DevOps tasks. We begin with recipes that help you develop a complete and expert understanding of Puppet's latest and most advanced features. Then we provide recipes that help you efficiently work with the Docker environment.