Configuration management tools have as their primary objective the task of making a server always be in the desired state. If a web server stops, it will be started again. If a configuration file changed, it will be restored. No matter what happens to a server, its desired state will be restored. Except, when there […]
This article tries to provide one possible way to set up the Continuous Integration, Delivery or Deployment pipeline. We’ll use Jenkins, Docker, Ansible and Vagrant to set up two servers. One will be used as a Jenkins server and the other one as an imitation of production servers. First one will checkout, test and build […]
This article is part of the Continuous Integration, Delivery and Deployment series. The previous article described several ways to implement Continuous Deployment. Specifically, it described, among other things, how to implement it using Docker to deploy applications as containers and nginx for reverse proxy necessary for successful utilization of blue-green deployment technique. All that was […]
This article tries to provide one possible approach to building microservices. We’ll use Scala as programming language. API will be RESTful JSON provided by Spray and Akka. MongoDB will be used as database. Once everything is done we’ll pack it all into a Docker container. Vagrant with Ansible will take care of our environment and […]
The idea behind this article is to explore ways to deploy releases with Jenkins to Docker Swarm without downtime. We’ll use blue-green procedure. More info about the process and one possible implementation can be found in the Blue-Green Deployment, Automation and Self-Healing Procedure article. One of the downsides of the process we used in that […]
Anyone managing more than a few servers can confirm that doing such a task manually is a waste of time and risky. Configuration management (CM) exists for a long time and there is no single reason I can think of why one would not use one of the tools. The question is not whether to […]
In the [previous article](http://technologyconversations.com/2015/07/02/scaling-to-infinity-with-docker-swarm-docker-compose-and-consul-part-34-blue-green-deployment-automation-and-self-healing-procedure/) we switched from manual to automatic deployment with Jenkins and Ansible. In the quest for **zero-downtime** we employed Consul to check **health** of our services and, if one of them fails, initiate deployment through Jenkins.
In this article we’ll explore how to scale individual services.
DevOps is the word of the year. Everyone speaks about it, and many are hoping to apply it, even though most are confused what it truly means. Inquiring about DevOps does not seem to help. If you speak with a software vendor, he’ll tell you that all you need to become DevOps ninja is to […]
The [previous article](http://technologyconversations.com/2015/07/02/scaling-to-infinity-with-docker-swarm-docker-compose-and-consul-part-14-a-taste-of-what-is-to-come/) showed how scaling across the server farm looks like. We’ll continue where we left and explore details behind the presented implementation. Orchestration has been done through [Ansible](http://www.ansible.com/home). Besides details behind tasks in Ansible playbooks, we’ll see how the same result could be accomplished using manual commands in case you might prefer a different orchestration/deployment framework.
It’s time to extend what we did in previous articles and scale services across any number of servers. We’ll treat all servers as one **server farm** and deploy containers not to predefined locations but to those that have the least number of containers running. Instead of thinking about each server as an individual place where we deploy, we’ll treat all of them as one unit.