Short, hands-on guides to applied AI, modernization, integration, data and cloud platforms, written by engineers for the teams doing the work.
AI assistants become far more useful when they can reach internal tools, and far riskier. A gateway pattern keeps that access controlled, auditable and revocable.
Read the articleA demo that calls a language model is easy. A dependable production feature needs versioned prompts, validated output, evaluation, cost control and clear fallbacks.
Read the articleAI steps are slow, rate-limited and occasionally fail. Queues, persisted state, safe retries and a reconciliation sweep keep every event accounted for.
Read the articleAI coding assistants can speed up delivery, but regulated work demands guardrails around data, code review, licensing and accountability.
Read the articleLegacy applications are often wired into other systems in ways nobody has written down. Map the integrations first, lock behavior in with tests, then change one slice at a time.
Read the articleAPIs outlive the projects that create them. Contract-first design, additive changes, idempotency and clear lifecycle rules keep integrations working as systems evolve.
Read the articleReplacing a system means moving its data, and that is where schedules slip. Early profiling, repeatable loads, layered reconciliation and rehearsals keep a migration controlled.
Read the articleIntegration bugs hide at the boundaries. Contract tests, simulated dependencies and business-readable acceptance tests catch them before production does.
Read the articleWhen something goes wrong across several systems, you need to follow one item from start to finish. Correlation IDs, structured logs, metrics and traces make that possible.
Read the articlePipelines fail, restart and get re-run. Watermarks, keyed merges and durable orchestration make every re-run safe and every backfill routine.
Read the articleWith GitOps, Git describes what should run and the cluster reconciles to match. Done well, it gives repeatable deployments, no drift and a built-in audit trail.
Read the articleMoving servers unchanged is fast but carries old problems into the cloud. Assess workloads, prove the risky assumptions and design for resilience before you migrate.
Read the articleTell us what you're working on. We're glad to share what we know.
