- Published on
Explore why LinkedIn outgrew Apache Kafka, the metadata and scaling bottlenecks they hit at 32 trillion events per day, and how their next-gen architecture solves the problem.
Kafka
All Posts
- system-design (11)
- microservices (7)
- java (5)
- architecture (4)
kafka (3)
- distributed-systems (2)
- shopify (2)
- spring-boot (2)
- netflix (2)
- backend-architecture (2)
- career-growth (2)
- backend (1)
- java-lts (1)
- java-lts-features (1)
- backend-development (1)
- cloud-native-java (1)
- performance-optimization (1)
- ai-agents (1)
- llm (1)
- enterprise-ai (1)
- generative-ai (1)
- future-of-ai (1)
- e-commerce (1)
- event-driven-architecture (1)
- hld (1)
- lld (1)
- linkedin (1)
- streaming-architecture (1)
- data-engineering (1)
- modular-monolith (1)
- tech-stack (1)
- virtual-threads (1)
- locks (1)
- healthcare (1)
- service-mesh (1)
- istio (1)
- devops (1)
- kubernetes (1)
- event-driven (1)
- interview-preparation (1)
- software-engineering (1)
- ai-coding (1)
- vibe-coding (1)
- machine-learning (1)
- startup-story (1)
- indian-startups (1)
- google (1)
- entrepreneurship (1)
- Published on
Learn how to build a production-grade, life-critical system using Java 21 Virtual Threads and Kafka Idempotency.- Published on
Shopify processes some of the highest traffic loads anywhere. Behind the scenes, a streaming event core built on Apache Kafka enables this scale by decoupling services, enabling real-time analytics, and powering machine learning workflows.