#CaseStudy

Scaling a Fitness Application
on Kubernetes

We migrated the fitness application’s microservice infrastructure from a virtual machine to Kubernetes, implemented CI/CD, monitoring, and backups. As a result, the service now handles five times more load with automatic scaling and improved reliability and security.

The client has their own fitness application with a rapidly growing user base.

The original infrastructure consisted of a single production server running the application and database, along with a separate development server.

Deployments were done manually; there was no Kubernetes, CI/CD, monitoring, or backups.

Context

Such an architecture did not allow for safe scaling of the product and carried a high risk of downtime and data loss.

We took the infrastructure under support

Automate deployment processes

Implementation timeline — 1.5 months.

Improve fault tolerance, security, and observability

Prepare the infrastructure for high and unpredictable loads

Solution

Implemented CI/CD pipelines for deployment to Kubernetes

Set up monitoring and alerting for the cluster and services

Provisioned a managed Kubernetes cluster from scratch

Developed Helm charts for all applications

During this period, we:

Migrated the production environment to Kubernetes

Performed load testing of the infrastructure

After the migration, additionally:

Created dev and preprod environments in a separate Kubernetes cluster

Configured additional backups for GitLab and PostgreSQL

Set up centralized log collection with Loki

Deployed a VPN for secure access to GitLab and the dev infrastructure

Configured enhanced service monitoring

Results

The service now withstands five times the load with automatic horizontal scaling

Security has been significantly improved through isolation of the production environment, restricted external access, and use of a VPN

Deployment processes became fast, reproducible, and secure

Observability and reliability have improved thanks to monitoring, alerts, and managed backups

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