News, guides, and engineering deep dives.
Practical guidance on Kafka, Flink, Iceberg, and real-time data.
How Tencent uses Apache Kafka in production
A deep-dive into Tencent's Kafka architecture — covering their federated cluster design, 20 trillion messages per day, KIP contributions, and tiered storage at Tencent Cloud.
How Wix uses Apache Kafka in production
A deep-dive into Wix's Kafka architecture: 66 billion daily messages, 2,200+ microservices, the Greyhound SDK, Confluent Cloud migration, and operating 500,000+ partitions across 4 regions.
Conduktor: Review, pricing, and best alternatives in 2026
Conduktor review for 2026: pricing, strengths, deployment trade-offs, and how it compares to alternatives for enterprise Kafka governance teams.
How Airbnb uses Apache Kafka in production
A deep-dive into Airbnb's Kafka architecture — covering six production systems, 35+ billion daily events, SpinalTap CDC, Flink-based personalisation, and Kafka as a write-ahead log.
How Bytedance uses Apache Kafka in production
How Cloudflare uses Apache Kafka in production
A deep-dive into Cloudflare's Kafka architecture: use cases at trillion-message scale, 14 clusters, internal tooling decisions, and the engineering lessons behind a decade of Kafka operations.
How DoorDash uses Apache Kafka in production
A deep-dive into DoorDash's Kafka architecture — covering the Iguazu event platform, Flink-based ML feature pipelines, self-serve topic governance, and the engineering decisions behind hundreds of billions of daily events.
How Goldman Sachs uses Apache Kafka in production
A deep-dive into Goldman Sachs's Kafka architecture — covering use cases across three divisions, migration to Amazon MSK, resilience design, and key engineering decisions.
How Grab uses Apache Kafka in production
A deep-dive into Grab's Kafka architecture — how the Coban team built a terabyte-per-hour streaming platform serving 300 billion events a week across GrabFood, GrabPay, mobility, and more.