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.
Data mesh and data hub are presented as competing philosophies. They are actually different answers to specific organizational questions. Here is the decision reference for which one your…
Most data platforms hit a wall somewhere between hundreds of terabytes and a few petabytes. The wall is usually a partitioning decision made earlier. Here are the strategies that survive past the…
Most slow cloud-native applications have database problems that look like application problems. Three diagnostic categories cover most issues and three patterns address them. Here is the…
Chaos engineering programs that get announced often do not survive. The programs that survive share recognizable patterns. Here is the practitioner reference for adoption that produces operational…
Graviton migration saves 20-40% on compute when done well. Three workload categories migrate cleanly, three categories require care, and three patterns avoid the common pitfalls. Here is the…
Lambda fits some AI inference workloads well and others poorly. The boundary is not always obvious. Three workload patterns fit Lambda, three patterns do not. Here is the practitioner reference.
Lake Formation has evolved into a credible governance layer for AWS data lakes. Three governance capabilities matter most at enterprise scale and three deployment patterns produce reliable…
Modern app deployment on AWS has three main options that fit different workload patterns. The decision is workload-driven rather than ideology-driven. Here is the decision map for picking right.
Prior authorization is one of healthcare's most-painful administrative workflows. GenAI applications have shown specific patterns that produce results and others that produce regulatory exposure.…
Real-world evidence has moved from a regulatory novelty to a primary mode of clinical evidence generation. The data engineering reality is harder than the regulatory framework. Here is the…
EU AI Act enforcement begins August 2026 with specific obligations for healthcare AI systems. Five compliance areas matter most. Here is the practitioner guide for organizations that have not yet…
AI scribes have moved from pilot to production at scale. The operational realities differ from the marketing in specific ways. Eighteen months of production experience reveals five patterns that…
Healthcare cloud architectures spanning regions face data residency, latency, and failover questions that single-region architectures do not. Four patterns handle the realistic complexity. Here is…
AWS HealthLake handles FHIR workloads at enterprise scale with specific operational characteristics. Three workload patterns fit, three do not, and three production realities affect deployment…
Pharmacovigilance signal detection has moved from periodic batch review to continuous pipeline analysis. The pipeline patterns that produce reliable signals share recognizable structure. Here is…
Risk stratification models can be accurate in development and clinically wrong in production. The gap usually traces to calibration and drift issues. Here are the patterns that catch the issues…
FHIR gets the attention. The reality is healthcare data still flows through HL7v2, X12, custom formats, and PDFs. Engineering teams that handle the real mix produce more reliable platforms than…
Population health AI work that produces results follows a recognizable path from cohort definition through intervention delivery. The patterns that work share four characteristics. Here is the…
Commercial real estate AI has emerged as distinct from residential AI through 2024 and 2025. Four use case categories cover most production deployments. Here is the practitioner reference for…
Predictive maintenance in commercial buildings has moved from pilots to production deployments. Three sensor patterns, three model patterns, and three operational patterns produce reliable…
Real estate platforms integrate three primary data sources with very different update patterns and data shapes. The unification work has specific patterns that most platform teams underestimate.…
AI workloads on AWS have settled into a recognizable five-layer reference. Most enterprise teams get one or two layers wrong on first deployment. Here is the reference and the specific mistakes…
Mid-market and enterprise AWS migrations succeed when scoped as three waves rather than as one big-bang program. Each wave has different goals and different success criteria. Here is the playbook…
AWS native observability tools each cover a portion of what production systems need. Three gaps remain where third-party or custom tooling is required. Here is the reference with the gaps explicit.
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.
