Provisioned Concurrency is the most over-prescribed Lambda config in production. The break-even is a single equation — and most workloads sit on the wrong side of it. Memory tuning, Graviton savings, and the request-rate threshold where reserved capacity stops being a tax.
S3 + Glue + Athena is the canonical AWS data-lake stack. It's also the one teams over-engineer the fastest. A reference architecture with the partitioning scheme, the Glue crawler config, and the Athena cost guardrails that keep query bills predictable as the lake grows.
"We'll just have our developers manage AWS" is one of the most expensive decisions an engineering leader can make. A line-item TCO breakdown of in-house operations vs an AWS managed services provider for organizations from 10 to 500 engineers — including the costs that don't show up on the AWS bill.
Some teams ship AWS migrations clean. Most blow Q4 deadlines and a budget cycle. Seven signs you're heading for the second outcome — and the inflection points where bringing in a partner stops costing money and starts saving it.
Silo, pool, or bridge isolation isn't an architecture decision — it's a unit-economics decision you'll spend three years living with. A comparison framework for SaaS multi-tenancy on AWS, with the per-tenant cost trade-offs across scale tiers and the migration path for teams who picked wrong the first time.
Aurora is 5× faster than MySQL — until your workload is the one where it isn't. A workload-by-workload framework for picking RDS vs Aurora, with the price-per-IOPS math and the patterns where Aurora's cost doesn't pay back.
Your CISO blocks ChatGPT Enterprise. Your engineering team prefers it. A CTO-level decision framework for picking between Amazon Q for Business and ChatGPT Enterprise — data residency, per-seat economics, and the integrations that decide which one actually ships.
Studio Classic isn't going away today, but the new feature work isn't going there. A migration playbook for enterprise ML teams moving to SageMaker Unified Studio — what breaks, what gets easier, and the IAM permissions that catch every team off-guard on day one.
An audit-prep checklist for Compliance Leads, Security Officers, and CISOs — BAA execution, documented Security Risk Assessments, workforce training, audit cadence, and the evidence packages OCR investigators expect when they show up.
Half the natural-language BI demos fall apart on real schemas. A deployment playbook for Amazon Q in QuickSight — what actually works on production data, how to secure access at the row level, and the adoption metrics that matter past month one.
Rules engines miss fraud rings that mutate weekly. Graph + vector queries don't. A production guide to Neptune Analytics for fraud detection, recommendation engines, and supply-chain risk — query patterns, cost gotchas, and where the architecture breaks down.
ElastiCache loses your AI chatbot's session memory at every node replacement. MemoryDB doesn't. A decision framework for when to pick MemoryDB over ElastiCache, OpenSearch Serverless, and S3 Vectors for AI workloads — with the latency math and the failure mode that forces the switch.
