Engineering
Deep dives into our engineering practices, architecture decisions, and the technical challenges we solve every day. Written by the engineers who build and maintain our platform infrastructure.
3 articles
Building Scalable Data Pipelines with Apache Kafka and Flink
Learn how to design and implement production-grade data pipelines that handle millions of events per second. We cover architecture patterns, fault tolerance strategies, and performance tuning techniques.
Lessons Learned Migrating to Microservices at Scale
After two years of migrating our monolithic application to a microservices architecture, here are the patterns that worked, the mistakes we made, and the tools that saved us along the way.
Kubernetes Autoscaling: A Deep Dive into HPA, VPA, and KEDA
Master Kubernetes autoscaling with this comprehensive guide covering Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and event-driven autoscaling with KEDA. Includes real-world configurations and performance benchmarks.