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All Blog Posts by Boris Yakimov


  • SaltStack - Configuration Management and Remote Execution

    SaltStack - Configuration Management and Remote Execution

    What is the purpose of a tool like SaltStack and a better question, what problem does it solve ?The two main purposes of SaltStack are configuration management and remote execution. You have probably heard or used one of the more popular alternatives of SaltStack - Ansible, Puppet, or Chef. All of them pretty much accomplish the same goal. I like Salt in particular because it is written in Python and it is relatively lightweight. It uses ZeroMQ's communication layer which makes it really fast and it also uses the PyYAML for its configuration management recipes (called states). In a nutshell if you manage any number of servers and you need to do something on them, you would have to log in to each one at a time and do your task. Even if that task is a small one like restarting an instance or checking their uptime, or a larger one like doing an installation and configuration of something, you would still have to do it one server at a time. If you manage a lot of servers you will need to do a lot of manual work to accomplish your tasks. This is where Salt Stack can be applied to automate your work and provide the ability to remotely execute commands on any number of machines. Salt works using either Master/Minion setup where you have a master node from which you execute commands to the minion nodes, or using salt-ssh which is pretty much what it sounds like, it allows you to execute anything that you normally would to a configured minion on any machine over ssh, no matter if Salt is installed there.

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  • Containerization with Docker

    Containerization with Docker

    INTRODUCTION TO DOCKER If you have been following the “cloud” trends you probably have heard of Docker. It is an open source implementation of the LXC (Linux Containers) used for packaging an application and its needed dependencies into a container that can be deployed and replaced easily. The containerization in Docker is achieved via resource isolation (cgroups), kernel names spaces (isolating the application’s view of the OS, process trees, etc) and a union-capable file system (such as aufs – mounting multiple directories into one that appears to contain their combined contents). Using containers removes the overhead of having to create, deploy and maintain full VMs for running your applications. As well as providing completely identical PROD, Staging, QA, DEV environments. In some cases you can even move a container from one server to another, making it ideal to spin a quick instance of your PROD environment on a separate server to do a quick test without messing with the actual PROD environment.

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