SlickCloud

Our company recently started a project for a technology company client, where we provided a DevOps Engineer and a Java Developer as part of our staff augmentation services. The project aimed to improve the efficiency and reliability of the client’s infrastructure and applications.

The Java Developer we provided was tasked with implementing new features and fixing bugs in the client’s existing codebase. Their strong Java background allowed them to quickly get up to speed with the code and deliver high-quality solutions that met the client’s standards. The Java Developer also contributed valuable insights and ideas to help improve the overall performance and functionality of the client’s applications.

The DevOps Engineer we provided was instrumental in implementing new tools and processes to automate key aspects of the client’s infrastructure. This resulted in significant time and cost savings, as well as improved reliability and faster deployment times. The DevOps Engineer worked closely with the client’s internal team to understand their needs and provide tailored solutions to meet their requirements.

The project was a great success, and the client was extremely satisfied with the results. Our company provided highly skilled and dedicated professionals who brought a wealth of knowledge and experience to the client’s team. We are proud to have played a role in helping our client achieve their goals, and we look forward to working with them again in the future.

This project involved migrating from an on-premise setup with Docker Swarm to the Google Cloud Platform with Kubernetes.

The highlight was the database migration - custom plugins prevented the use of CloudSQL, so we had to set up a PostgreSQL cluster using cloud VMs and manage it with the Managed Instance Group and Patroni tool.

We migrated the applications to Kubernetes using Helm packages and created a master Helm chart for easier management.

For the project, we architected and implemented a complete system. This involved implementing the infrastructure on the Google Cloud Platform with an "Infrastructure as Code" approach and DevOps principles and creating a front-end using Python and the Django framework.

Our goal was to create a scalable, automated, and manageable system that leverages the full potential of Google Cloud. We built a Django app and deployed it on the Google App Engine. We took advantage of its low cost due to automatic scaling and high availability across three zones in the Warsaw GCP region.

For other applications, we deployed them on Kubernetes (GKE) with Helm Charts for packaging. We used Cloud Run for quick scaling during peak moments.

We used Terraform for infrastructure provisioning and CloudSQL for databases. We implemented CI/CD pipelines for all applications to ensure agile development. This resulted in deployment times from development to production in just minutes.