Engineering
Observability-Driven Development
Shift observability left by designing around structured logs, distributed traces and meaningful metrics from day one — faster debugging, shorter incidents.
·4 min read
Tags
Metrics
5 articles
Artificial Intelligence
Evaluating LLM Output: Metrics and Testing Frameworks
A practical guide to evaluation pipelines for LLM features: semantic similarity metrics, behavioral testing, regression detection and quality gates.
·4 min read
Engineering
Technical Debt: Making the Business Case for Refactoring
A practical framework for measuring technical debt in terms stakeholders accept: code metrics, developer velocity data and incident correlations.
·5 min read
DevOps
OpenTelemetry Instrumentation for Node.js
A hands-on guide to instrumenting Node.js with OpenTelemetry: traces, metrics and logs via auto-instrumentation, custom spans, context and exporters.
·4 min read
DevOps
Observability Beyond Monitoring: Traces, Logs, and Metrics
How to build a complete observability stack, connecting distributed traces, structured logs and metrics to debug production faster than monitoring alone.
·4 min read