Migrating Kafka & Airflow to Self-Managed Deployment on Linode Kubernetes

The Problem Statement

DigitalOcean's database struggled to handle the increasing volume of data and user traffic.

The database, exceeding 1 TB, suffered from slow query responses and downtime, impacting reliability and user experience.

The engineering team spent significant time managing backups, updates, and monitoring, detracting from core business activities.

Migrated the existing database to AWS RDS with zero downtime and no data loss.

Set up scalable and high-performance database instances to handle growing workloads.

Implemented Multi-AZ deployments for enhanced data security and reliability.

Automated patching, scaling, and backups to minimize manual intervention and improve efficiency.

Achieved a 30-40% reduction in operational costs.

Completely resolved scalability and performance issues.

Freed up the engineering team to focus on strategic initiatives by eliminating the need for manual database management.

Enhanced data security, reliability, and scalability through advanced AWS RDS features.

Experience Faster Time-to-Market