Seeing how easy it was to provision one VM with Ansible, I can’t stop thinking: would it be as easy to deal with the whole cluster? After all, the original example I was trying to move to Ansible had three VMs: one Consul server and two worker machines. The server is ready, so adding two more machines sounds like an interesting exercise to do. So… let’s begin?
Continue reading “Provisioning cluster of VMs with Ansible”
I’m still looking for ways to automate hosts configuration. So far I’ve been using Vagrant + bash/PowerShell for configuring Linux or Windows hosts, but somehow I managed to miss the tool designed specifically for tasks like this – Ansible. It’s been around for last five years or so and became almost a synonym to “automatic configuration”. Today I’ll finally give it a try and see what difference it makes to use it comparing to provisioning with good old Bash.
Continue reading “Provisioning Vagrant VM with Ansible”
Last month we finally finished migration from our previous CI/CD system to GitLab CE and that’s something that makes me extremely happy. It’s just so much easier to maintain our CI/CD monster, when repository, build configurations, build results, test results and even that “Approve” button that publishes the build to release repository – when they all are in the same place.
And what I particularly love about GitLab is how simple it is to configure all of that. So simple, that today I’ll show you how to setup fully functional CI/CD for demo project starting from installing GitLab and finishing with successful commit landing at “production” server. So, without further ado, let’s begin.
Continue reading “Easy continuous integration and deployment with GitLab CI”
I’ve been running two WordPress blogs for some time and my biggest regret is that they are not running in Docker containers. If I did the right thing in the beginning, I wouldn’t have to worry about whether or not the server upgrade will be safe, or will I be able to recall server configuration when time to migrate comes. I actually would be able to spin up local blog replica, run some experiments on it (new settings, features or design change) and decide whether or not I want move that change into ‘production’.
However, it’s never too late. I’m reluctant to make a big change on the real server without prior tests, so today I’ll try to create local Docker replica of one of my blogs and see how that goes. Continue reading “Move existing WordPress site into Docker”
In one of my previous posts about Docker health checks closer to the end of the post I managed to build a Dockerfile and run it as a service in Docker in Swarm mode. To be honest, I’m a little bit surprised that Docker allowed me to do that. That Swarm cluster could’ve had more than one host. What if the service went somewhere, where underlying image didn’t exist? Swarm node wouldn’t copy the image to the node that needs it, right? Or would it?
Let’s try replicating our service based on custom image across all hosts of multi-host Swarm cluster and see how that goes (spoiler: we’ll need private registry in order for that to work).
Continue reading “Using private registry in Docker Swarm”
Kubernetes (or K8s) is another tool for orchestrating containerized apps in a cluster. It’s job is to find the right place for a container, fulfill its desired state (e.g. “running, 5 replicas”), provide a network, internal IP, possibly, access from outside, apply updates, etc. Originally developed by Google, now Kubernetes is open source. Continue reading “What exactly is Kubernetes”
Somehow I missed the news that starting from version 1.12 Docker containers support health checks. Such checks don’t just test if container itself is running, but rather is it doing the job right. For instance, it can ping containerized web server to see if it responds to incoming requests, or measure memory consumption and see if it’s reasonable. As Docker health check is a shell command, it can test virtually anything.
When the test fails few times in a row, problematic container will get into “unhealthy” state, which makes no difference in standalone mode (except for triggered
health_status event), but causes container to restart in Swarm mode. Continue reading “Docker health checks”
Imagine you configured your new shiny Docker cluster and now ready to fill it with dockerized applications. How exactly are you going to do that? Not by manually typing
docker service create for every app, right? Especially when average application that requires cluster will contain more than one service in it.
In standalone Docker we had
docker-compose tool, which allowed us to describe all app containers in single
docker-compose.yml file and then start it with
docker-compose up. Can we use the same for Swarm? Absolutely. Continue reading “docker-compose for Swarm: docker stack”
Docker is cool. It is a great tool to pack your application into set of containers, throw them into the host and they’ll just work. However, when it’s all happening within the single host, the app cannot really scale much: there’s fixed amount of containers it can accomodate. Moreover, when the host dies, everything dies with it. Of cause, we could add more hosts and join them with overlay network, so more containers can coexist and they still would be able to talk to each other.
However, maintaining such cluster would be a pain. How to detect if host goes down? Which containers are missing now? What’s the best place to recreate them?
Starting from version 1.12.0 Docker can work in Swarm mode and handle all of those tasks and even more. Continue reading “Quick intro to Docker Swarm mode”
Quite often building a VM from scratch is not very wise. Unless server configuration is trivial, its provisioning might take significant amount of time. For example, creating an instance of a build server for my current project takes about 40 minutes. This includes installing updates, various SDKs and other dependencies. How is it possible then that I can add new build server to a cluster in about two or three minutes?
The secret is that the most of the software is baked into a VM image, so I never start from scratch. New VM still needs some steps like final configuration and registering within the cluster, but that’s fast. The slowest part is allocating resources for VM, not provisioning.
Historically, we’ve been using own tools for that, but there’re also free and open source ones. Like Packer. Continue reading “Building VM image with Packer”