Backend · Coming soon
API integrations that survive production
Timeouts, retries, idempotency, contract validation, rate limits, webhooks, and graceful degradation.
Engineering notes
Practical writing on systems that have to work.
AI quality, backend architecture, data pipelines, APIs, databases, observability, and the tradeoffs behind maintainable production software.
Featured · AI quality · 9 min read
Designing reliable LLM evaluation workflows
How to move from subjective review toward explicit task contracts, reproducible checks, evidence, failure taxonomies, and useful evaluation data.
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Data · Coming soon
A practical data-pipeline reliability checklist
Schema drift, lineage, validation, deduplication, backfills, observability, and trustworthy downstream outputs.
Databases · Coming soon
Debugging a slow PostgreSQL query
A step-by-step approach using query shape, indexes, cardinality, locks, and EXPLAIN ANALYZE.
Architecture · Coming soon
Monolith or microservices? Start with the failure modes
A decision framework based on ownership, deployment, scaling, data consistency, and operational cost.
Reliability · Coming soon
Observability beyond “check the logs”
How logs, metrics, traces, service-level indicators, and context work together during real incidents.
Engineering · Coming soon
Testing the boundaries, not only the happy path
Designing test cases around contracts, state transitions, retries, concurrency, and failure recovery.
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