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Software craft & practices · 54 articles · Page 2 of 5
Practical testing strategies for distributed architectures, covering contract testing between services, chaos engineering for resilience validation, integration test design, and building confidence in systems where end-to-end testing is impractical.
A framework for making sound technical decisions when requirements are incomplete, timelines are tight, and the stakes are high, covering reversibility analysis, decision records, and systematic approaches to navigating ambiguity in software engineering.
How to shift observability left by designing systems around structured logs, distributed traces, and meaningful metrics from the start, enabling faster debugging and reducing incident response time in complex distributed architectures.
A systematic approach to incident management covering alerting design, severity classification, on-call response workflows, communication protocols, and blameless post-mortem practices.
An exploration of fault tolerance engineering covering circuit breakers, bulkheads, fallback chains, and degradation strategies that keep systems useful when components fail.
A practical framework for measuring technical debt in concrete terms that resonate with stakeholders, using code metrics, developer velocity data, and incident correlations to justify refactoring investments.
Practice chaos engineering by injecting controlled failures into production systems to discover weaknesses before they cause outages, with practical experiments covering network partitions, resource exhaustion, and dependency failures.
Build a robust feature flag system that supports gradual rollouts, user targeting, A/B testing, and kill switches, with practical patterns for flag lifecycle management that prevent technical debt accumulation.
Implement distributed tracing across microservices using OpenTelemetry, with practical examples of context propagation, span creation, sampling strategies, and trace analysis that turn opaque distributed systems into debuggable ones.
Design and execute effective load tests using k6 with practical patterns for ramping strategies, realistic user simulation, threshold-based pass/fail criteria, and interpreting results to find bottlenecks before production traffic exposes them.
Build production-grade distributed tracing infrastructure with OpenTelemetry, covering context propagation, sampling strategies, trace storage backends, correlation with logs and metrics, and cardinality management at scale.
Learn how property-based testing generates hundreds of random inputs to verify code invariants, catching edge cases that hand-written example tests overlook with practical patterns in TypeScript using fast-check.