Engineering Logs

Practical resilience patterns for distributed APIs: fail-fast, retries with backoff, circuit breakers, bulkheads, fallbacks, rate limiting, failover, and observability.

How to design, operate, and scale microservices: core principles, when to use them, key patterns, and how to manage complexity in distributed systems.

How Azure Cosmos DB's five consistency levels map onto PACELC tradeoffs, what each level guarantees, and how to choose the right consistency for your workload.

How Zero Trust Architecture replaces perimeter-based security: core principles, differences from traditional models and ZTNA, enabling technologies, and real-world implementations.

How gRPC changes API design versus REST: protocol model, protobuf schemas, service interfaces, streaming patterns, and when gRPC or REST is the right architectural choice.

Deep dive into HTTP/2: why HTTP/1.1 hit scaling limits, how multiplexing, server push, binary framing, and prioritization work, and why it matters for web performance.

Inside Shazam's music recognition system design: audio fingerprinting, spectrogram peaks, NoSQL and SQL databases, and scaling search across millions of tracks.

How to design scalable, resilient systems using event-driven architecture and Apache Kafka for high-throughput, real-time data processing.

A practical blueprint for system migration: isolated env, sync/async flows, bridge layer, traffic leakage, backup sync, and monitoring.

Data building blocks, fault tolerance, latency vs response time, scaling strategies, and the operability-simplicity-evolvability triad for durable systems.

How to get better at delivery and focus: planning, prioritization, delegation, and guarding deep work.