News, guides, and engineering deep dives.
Practical guidance on Kafka, Flink, Iceberg, and real-time data.
How New Relic uses Apache Kafka in production
A deep-dive into New Relic's Kafka architecture — covering use cases, scale, engineering decisions and key contributors.
How Notion uses Apache Kafka in production
A deep-dive into Notion's Kafka architecture — covering use cases, scale, engineering decisions, and key contributors across their data lake and AI pipelines.
How PagerDuty uses Apache Kafka in production
A deep-dive into PagerDuty's Kafka architecture, covering event ingestion, notification scheduling, task execution, and the engineering decisions behind each.
How Pinterest uses Apache Kafka in production
A deep-dive into Pinterest's Kafka architecture — covering use cases, scale, engineering decisions, and key contributors. From 15 million to 40 million messages per second across 3,000 brokers.
How Salesforce uses Apache Kafka in production
A deep-dive into Salesforce's Kafka architecture — covering use cases, scale, engineering decisions and key contributors across a fleet of 100+ clusters processing 3+ trillion events per day.
How Shopify uses Apache Kafka in production
A deep-dive into Shopify's Kafka architecture — covering CDC at 100,000 records/sec, Kubernetes deployment, the Sarama Go client library, and BFCM scale engineering.
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: pricing and alternatives
Conduktor review for 2026: pricing, strengths, deployment trade-offs, and how it compares to alternatives for enterprise Kafka governance teams.