Ivan Nikolov

We use Kubernetes because it makes managing complex Docker-based deployments easy. It has great documentation and user interface and it also makes rolling releases extremely easy.

We use Kubernetes because it makes managing complex Docker-based deployments easy and supports features like auto-scaling and so on. It is also great for rolling deployments.

We use Selenium because it allows our QA engineers to develop automated and reproducible tests. It helps avoid regressions and keeping our tools bug free.

We use Python because it makes prototyping very easy. It requires people to write clean code from the very start. It is also the top language of choice for people in data science with some great libraries, which we take advantage of.

We use Hadoop because it allows us to process and store vast amounts of data, which comes in at very high rates too! The whole ecosystem is very well maintained and documented and it suits our needs very well.

We use Play because it makes it very easy to write complex REST-ful APIs. It is based on AKKA, so it provides a very good support for AKKA too, making some complicated work very easy to achieve.

We use Java because it allows us to write very high performance web-based applications. It is strongly typed, it has a huge community and there are lots of very good engineers using the language. This helps finding good talent easier.

We use Docker because it's great for prototyping, setting up development environments, etc. It keeps things nicely isolated and makes some complex deployments very nice and simple.

We use Ansible because it makes it easy for us to manage large amounts of machines on the internet. It doesn't require any special agents, it's nice and simple and is very easy to onboard new people with it.

We use Grafana because it's a great tool for monitoring the performance of our systems in near real time. We run it on top of Graphite and we also have other varous data sources enabled as well.