Development bottlenecks, 2 AM server alerts, and unpredictable scaling issues – these were the real problems our client faced with their on-premises infrastructure.
This case study shows how we rebuilt their infrastructure in two phases: first creating a secure cloud development environment, then migrating to Kubernetes for better scaling.
The client and their challenge
The client’s fintech company has been growing steadily, and one day their development setup wasn’t working well anymore. As the development team grew, their old on-premises systems just couldn’t keep up. They needed something better to help them build and release new features faster.
Building a secure development environment
The client needed a secure place for their developers to build and test code. Their software handles sensitive financial data, so they needed tight security while still letting their team work efficiently.
We set up servers on Google Cloud using Terraform, so everything was defined in code. VPN access restricted entry to authorized developers only, while separate environments for development and testing kept work organized. Automated workflows made setting up environments much quicker for the team.
Initial implementation faced some network security issues that caused connection problems between services. We fixed these by adjusting security settings and organizing the network better.
As a result, the client got a secure setup that made development easier. Their developers could work faster because they weren’t waiting as long for environments to be ready.
Moving to Kubernetes
As the client grew, they needed their infrastructure to scale up and down more easily.
The migration involved moving applications from Google Cloud servers to Kubernetes on AWS. Terraform and Helm charts defined all the infrastructure as code, while automatic scaling was configured based on system load. We also added proper monitoring tools to keep an eye on overall performance.
Keeping everything running during the move posed the biggest challenge. To prevent disruption, traffic was gradually switched using a blue-green deployment approach, ensuring users experienced no downtime. Data migration required special attention to maintain consistency and prevent any loss during the transfer.
The client ended up with a system that grows and shrinks automatically based on demand, uses resources more efficiently, costs about 30% less to run each month, and responds to users about 25% faster. Their system now handles unexpected traffic spikes much better, too.
The cost cuts were possible thanks to configuring autoscaling of nodes based on load in Kubernetes. As for the response time, we managed to do this By means of competent load distribution between nodes and quick response between services.
Outcomes and future plans
The project gave the client a modern, flexible platform that adapts to their needs. Their infrastructure now scales up when busy and down when quiet, saving money while maintaining performance.
Looking ahead, there are options of setting up in multiple regions to improve reliability and disaster recovery, making deployments even smoother with newer DevOps practices, adding better tools for their microservices to communicate. Also, finding more ways to reduce cloud costs.
✍️ Is your organization facing similar challenges? Setronica’s team of experienced DevOps engineers can help you identify and resolve infrastructure vulnerabilities before they impact your business. Contact us via the form below to schedule a consultation!