Building Scalable Microservices with Golang
A deep dive into designing and implementing production-ready microservices using Go, covering patterns like circuit breakers, rate limiting, and graceful degradation.
Longform notes on distributed systems, backend engineering, and the decisions that make or break software at scale.
A deep dive into designing and implementing production-ready microservices using Go, covering patterns like circuit breakers, rate limiting, and graceful degradation.
Exploring advanced type-level programming in TypeScript — branded types, template literal types, conditional types, and patterns that make large codebases maintainable.
A practical guide to achieving true zero-downtime deployments with Kubernetes, covering rolling updates, health checks, PodDisruptionBudgets, and blue-green strategies.
Understanding the paradigm shift of React Server Components — how they work under the hood, when to use them, and how they change the way we think about React applications.
From event sourcing to CQRS, a comprehensive guide to building robust event-driven architectures using Kafka — with real-world patterns, pitfalls, and production lessons.
How election timers, heartbeat jitter, and fsync latency interact in production Raft clusters, and what to tune before split-brain scares your team.
A practical approach to reducing index bloat in write-heavy OLTP systems using fillfactor tuning, HOT-friendly schema design, and targeted reindex plans.
Break down cold-start latency from scheduler queue to readiness probe success, with specific tactics for reducing startup p99 in multi-tenant clusters.
How to prevent memory blowups and long-tail latency in bidirectional gRPC streams using bounded buffers and dynamic flow-control tuning.
Designing payment mutation endpoints that remain safe under retries, failover races, and duplicate submit storms across regions.
Combining lexical inverted indexes with vector retrieval for high-recall, low-latency developer search workloads at scale.
A governance model for labels and metric families that keeps Prometheus fast during incidents while preserving useful debugging signals.
Designing ingestion and rollup pipelines with ClickHouse materialized views for reliable sub-second dashboard queries.
A tested migration sequence for large MySQL tables using shadow schema, dual writes, checksums, and rollback-safe traffic switching.
How platform teams can improve reliability and velocity with actionable scorecards linked to auto-fix workflows.
A cost model for snapshot frequency in event-sourced systems, balancing write overhead against replay latency and incident recovery speed.
A migration guide from network trust to workload identity using SPIFFE/SPIRE, short-lived certs, and policy shadow mode.
Dynamic worker scaling for consumers driven by lag slope and handler latency, with safeguards to avoid rebalance thrash.
Designing multi-window burn-rate alerts that catch real reliability regressions early without paging teams for harmless variance.
Use WASM edge filters to enforce deterministic request normalization and basic abuse controls before traffic reaches core services.
Secure token lifecycle patterns for mobile and SPA apps with refresh rotation, reuse detection, and compromise-aware session revocation.
Reliable background processing with Redis Streams using consumer groups, pending-entry recovery, and explicit poison-message handling.
Reduce compute spend safely with interruption-aware scheduling, checkpointing, and queue-level SLA classes for batch workloads.
How to classify flags by risk and assign consistency guarantees so kill switches are strong while experiments stay fast.
A cache architecture for agent systems combining prompt normalization, tool-result memoization, and freshness-aware invalidation.
Rebuild large read models online using side-by-side projections, semantic diff checks, and cohort-based traffic migration.