Stop Over-Engineering Your Messaging: NATS JetStream Is the Kafka You Can Actually Run
NATS JetStream delivers Kafka’s features in 20MB, with single-node clustering and built-in persistence. Ideal for startups and microservices deployments.
Deep dives into software engineering practices, code quality, architecture decisions, and development workflows for cloud and infrastructure teams.
NATS JetStream delivers Kafka’s features in 20MB, with single-node clustering and built-in persistence. Ideal for startups and microservices deployments.
Prevent duplicate jobs across distributed systems. Learn leader election, retry strategies, and deduplication patterns for reliable, scalable job scheduling.
Learn how gRPC deadline propagation prevents cascading failures in distributed systems. Understand wire format, Go APIs, and production-ready patterns.
Write effective Go fuzz targets that find bugs. Learn coverage-guided fuzzing, seed corpus strategies, and assertions to catch logic errors in production code.
Learn the differences between AWS SQS, EventBridge, and Kinesis. Get decision criteria to pick the right messaging service for your architecture.
Discover why PACELC theorem outperforms CAP for database architecture decisions. Learn how PACELC addresses latency-consistency tradeoffs ignored by CAP theory.
Learn how to read flame graphs to identify CPU bottlenecks fast. This guide covers flame graph mechanics, generation, and exactly where to look first.
Query S3, Postgres, Kafka, and Iceberg with Trino’s federated SQL engine. No data movement, no ETL. Run multi-source analytics with Docker Compose.
Learn TypeScript conditional types to replace function overloads in API design. Master type-level branching and the infer keyword for better code.
Compare two-phase commit and sagas for distributed systems. Understand when to use each pattern with practical examples and implementation guidance.