Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
Learn the EKS vs ECS vs Fargate decision in 2026: where each fits, cost shape, operating burden, and how to pick for enterprise workloads.
Learn AWS Data Pipelines in 2026: when to use Glue, EMR, MSK, and the decision framework for picking the right tool per workload.
Learn Amazon Bedrock production patterns in 2026: gotchas, guardrails, and the operating model behind reliable Bedrock deployments at enterprise scale.
Learn AWS Cloud Cost Optimization in 2026 with the top 10 levers: rightsizing, savings plans, S3 tiers, and the cadence behind sustained savings.
Learn AWS Cloud Architecture for AI workloads in 2026: reference architectures, cost shape, and the operating model behind production AI on AWS.
Learn the Serverless vs Containers vs VMs decision in 2026: where each fits, cost shape, and the operating model behind each choice.
Learn when Kubernetes helps and when it hurts at the enterprise in 2026: cost shape, operating burden, and the decision framework.
Learn Infrastructure as Code patterns at scale in 2026: module design, drift detection, governance, and the operating model behind reliable IaC.
Learn Platform Engineering in 2026: why every large org is building an internal developer platform, what good looks like, and the operating model behind it.
Learn Enterprise CI/CD in 2026: beyond GitHub Actions on a monolith, multi-repo strategies, and the operating model behind reliable delivery.
Learn how to assess AI Readiness in 2026 with ten signals across data, talent, governance, operating model, and leadership. Includes scorecard and FAQs.
Learn Cloud Performance Engineering in 2026: when latency drives revenue, the levers that matter, and the operating cadence behind sustained performance.
Learn the 12 cost levers for running AI on Cloud in 2026: model tier, prompt caching, retrieval tuning, and the operating model behind savings.
Learn Cloud Infrastructure Modernization in 2026 with a staged approach: assessment, sequencing, and the operating model behind successful migration.
Learn how to evaluate Cloud DevOps Services partners in 2026: capability scorecard, exit planning, and the questions to ask before signing.
Learn the AI as a Service vs. in-house build decision in 2026. Layer-by-layer framework, scorecard, exit-plan checklist, FAQs for CTOs.
Learn Hybrid Cloud Architecture in 2026: who it fits, the design patterns that work, and the operating model behind reliable hybrid deployments.
Learn Cloud Architecture for AI Workloads in 2026: patterns that scale, cost shape, and the operating model behind reliable AI on cloud.
Learn Data Observability beyond logs in 2026: freshness, volume, distribution, lineage, and the tooling that catches what logs miss.
Learn Metadata-Driven Pipelines in 2026: the pattern inside every modern data stack, how it scales, and where teams go wrong.
Learn how to stabilize fragile data pipelines in 90 days in 2026: assessment, remediation sequence, and the operating model that holds.
Learn Data Engineering Roles in 2026: data engineer vs. analytics engineer vs. platform engineer. Where each fits and how to hire.
Learn how mature teams run Data Quality at Scale in 2026: continuous quality checks, SLOs, ownership, and operating cadence.
Learn Real-time Data Architecture in 2026: when streaming is the right answer, when batch still wins, and the operating model behind both.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
