Building VM image with Packer

Packer logoQuite 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”

How to use Vagrant to create Consul cluster

Vagrant logo

Last two articles about Consul service discovery involved one simple but extremely boring manual task: creating and configuring a cluster. In fact, I had to do it twice. I had to create three virtual machines, download and unpack Consul on them, find out their IP addresses, add configuration files and finally launch the binaries.

It’s dull. It’s boring. Humans shouldn’t do that kinds of things by hand. Seeing how easily we can automate creation of Docker containers with Dockerfile and docker-compose makes me wonder if we can do the same for hosts. Continue reading “How to use Vagrant to create Consul cluster”

Playing with microservices

Recently I was asked to build a small internal app: dynamic dashboard for one of our projectors, which are hanging all over the office and display some company info onto the walls: customer statistics, server-to-server latency, what tasks are in development, etc. My particular goal was to add release and builds statistics: build duration, failed/unreliable tests and anything else that could motivate us to produce more stable builds.

We store all relevant data in Google BigQuery and the whole task is basically to extract build results from the storage and present it in clear and simple way. Quite trivial. Continue reading “Playing with microservices”