Development Approach

As collaboration between the DevOps part of the IT world becomes more important, we try to break down the wall between the former and the latter.

GitOps helps with that as it provides complete visibility regarding what is happening in the infrastructure alongside bringing familiar tools like git into both sides’ day-to-day work. In our case, the technology we are using to achieve that is ArgoCD.

We have numerous teams that deploy numerous projects to Kubernetes clusters, so we are excited about the awesome multi-tenancy support with SSO, which allows teams to manage and see, by using a pleasing UI, how their precious software looks right in the cluster without giving them direct access to Kubernetes clusters.

Eventually it became an indispensable part of our workflow. We utilize a variety of standard features: store our code, docker images, and packages, and run CI/CD pipelines.

GitLab is a rapidly expanding project, and we try to keep up with innovation. We use lots of helper features to improve our developers’ lives, such as dependency proxy, review environments, package, and container registries. It’s grown to be an all-in-one solution, and it works extremely well!

Built with Amazon Web Services, our data warehouse solution is adaptive and fully automated.

Several databases cover our needs: we use relational databases for hot data storage, with data arriving within a few minutes after appearing at the data source, a columnar database for regular storage, and a distributed object service (S3) for keeping our data lake always available and scalable for Big Data. Every data storage is universally available, monitored, backed up, and scaled with AWS.