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.
What FHIR-native architecture means and how it delivers real healthcare interoperability: using FHIR as the model, not a translation layer, plus the controls it needs.
How to build a healthcare data lake that governs PHI at petabyte scale: access control, lineage, de-identification, and the controls a compliant platform needs.
What ambient clinical intelligence actually requires in production beyond AI scribe demos: accuracy, clinician workflow, compliance, and the controls that make it safe.
How to build an AWS backup and disaster recovery plan that actually works: RPO/RTO targets, tested restores, and the controls that turn backups into real recovery.
How AWS PrivateLink enables private B2B SaaS integrations without exposing services to the internet: architecture, patterns, and the controls a production setup needs.
What Amazon Bedrock Knowledge Bases offer for managed RAG, where they save effort, and where their limits mean you need a custom retrieval pipeline instead.
The real tradeoffs between AWS Glue and self-managed Spark: control, cost, operational burden, and how to choose the right one for your data workloads.
A 2026 comparison of Karpenter and Cluster Autoscaler on EKS: how each scales nodes, their tradeoffs in flexibility and cost, and how to choose for your cluster.
How AWS Cost Anomaly Detection catches cost spikes before the monthly bill: setup, monitors, alerting, and the practice that turns surprises into early signals.
How Amazon EventBridge serves as the backbone of event-driven AWS architectures: decoupling, routing, schema, and the controls a production event bus needs.
How AWS Control Tower sets up multi-account governance the right way: guardrails, account factory, and where it fits versus a hand-built landing zone.
Why data architectures that work today break at 10x scale, the assumptions that fail, and how to design for the next order of magnitude without over-building today.
How to run Spot Instances in production safely: handling interruptions, diversification, and the resilience patterns that capture up to 70% savings without outages.
A deep dive into AWS networking, VPCs, Transit Gateway, and PrivateLink, and how to choose the right connectivity pattern for your architecture and scale.
A decision framework for choosing between Aurora, RDS, and DynamoDB: access patterns, scale, consistency, and cost, matched to what your workload actually needs.
How to use AWS Organizations and Service Control Policies for account-level governance: structure, guardrails, and the controls a production multi-account setup needs.
How to design cloud architectures for portability without over-investing in cloud-agnosticism: where lock-in matters, what to abstract, and the controls an exit needs.
A clear-eyed look at service meshes in 2026: what they solve, the complexity they add, when they are worth it, and how to decide for your architecture.
The hidden costs of monolith-to-microservices migration nobody warns you about: distributed complexity, data, and the disciplined, incremental approach that works.
What GitOps actually changes in day-to-day operations: git as the source of truth, reconciliation, auditability, and the controls a production GitOps setup needs.
What zero-trust networking means for cloud-native systems: identity-based access, microsegmentation, mutual TLS, and the controls to adopt it without breaking everything.
How policy as code enforces security and compliance standards automatically without slowing developers: where to enforce, how to avoid friction, and the controls it needs.
How to configure Kubernetes cluster autoscaling that scales for demand without runaway cost: bounds, policies, and the cost-awareness a production setup needs.
How to right-size Kubernetes with requests and limits grounded in real usage: avoiding over-provisioning and throttling, and the controls a production cluster needs.
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.
