Search results
18 resultsObservability — Logs, Metrics, and Traces
Implementing the three pillars with OpenTelemetry and making them actionable.
Building a Data Catalog with DataHub
Ingestion, metadata, search, and making your catalog actually useful.
API Idempotency — Safe Retries for Mutations
Idempotency keys, implementation, and which HTTP methods are idempotent by definition.
HTTP Caching Strategies for APIs and Web Applications
Cache-Control headers, ETags, CDN caching, and cache invalidation.
WebSockets — Building Real-Time Features
Connection lifecycle, heartbeats, reconnection logic, and scaling with Redis pub/sub.
Distributed Tracing — Propagating Context Across Services
Trace context propagation, sampling strategies, and analysing traces.
Redis Caching Patterns for Production Applications
Cache-aside, write-through, TTL strategy, and cache invalidation approaches.
Microservices Communication — Sync vs Async Patterns
REST, gRPC, message queues, and choosing the right pattern for each interaction.
Data Platform Cost Optimization Strategies
Reducing Snowflake, S3, Spark, and Kafka spend without sacrificing performance.
API Testing Strategy — Unit, Integration, Contract, and E2E
Building a test pyramid that catches real bugs without slowing delivery.
Docker Containerisation Best Practices
Writing efficient Dockerfiles, multi-stage builds, security hardening, and image size reduction.
CDN and Edge Caching Strategy
Origin offload, cache key design, purging, and choosing a CDN.
gRPC Service Design — Protocol Buffers and Production Patterns
Proto file design, streaming, deadlines, interceptors, and error handling.
Semantic Versioning — MAJOR.MINOR.PATCH in Practice
When to bump each version number and how to communicate breaking changes.
API Error Handling — Consistent Error Responses
Error format standards, HTTP status code usage, and client-friendly error design.
GraphQL vs REST — When to Use Each
Comparing query flexibility, over-fetching, tooling, and operational complexity.
Snowflake Best Practices for Cost and Performance
Virtual warehouses, clustering, query optimization, and controlling spend.
Load Testing with k6
Script a realistic load test, interpret results, and find bottlenecks before they find users.