Four platform releases from re:Invent 2025 and Q1 2026 complete the enterprise AWS serverless stack: Lambda Managed Instances with GPU support, SQS Provisioned Mode ESM for instant burst scaling, 1 MB async payload expansion, and .NET 10 / Node.js 24 runtimes with Native AOT.
Read more →Amazon Bedrock Data Automation: Intelligent Document Processing Without the Pipeline Plumbing
Intelligent Document Processing (IDP) used to mean brittle pipelines of OCR, specific regular expressions, and custom Lambdas. Bedrock Data Automation changes the paradigm: declare a schema via a Blueprint, and let generative AI extract structured data from messy, unstructured multi-modal inputs. Here is the practitioner evaluation of migrating from Textract pipelines to BDA.
Read more →AWS Lambda Tenant Isolation Mode: Enterprise Multi-Tenant SaaS Security Without Complexity
Lambda Tenant Isolation Mode delivers dedicated Firecracker MicroVM isolation per tenant from a single Lambda function deployment. A complete guide covering implementation, tiered SaaS architecture, cold start management, per-tenant KMS keys, and HIPAA/PCI-DSS/SOC 2 compliance mapping.
Read more →Amazon S3 Tables & Apache Iceberg: Native Lakehouse in S3 — 14 Months Later
Amazon S3 Tables promised to eliminate the operational scaffolding of Apache Iceberg on S3 — automatic compaction, native REST catalog, managed snapshot lifecycle. Fourteen months after the re:Invent 2024 announcement, this is the enterprise practitioner assessment: what teams migrated from traditional S3 + Glue Catalog setups, the Lake Formation column masking gap that affects regulated workloads, and the migration decision framework for data engineering teams evaluating the switch.
Read more →Amazon S3 Tables & Apache Iceberg: Native Lakehouse in S3 — 14 Months Later
Amazon S3 Tables promised to eliminate the operational scaffolding of Apache Iceberg on S3 — automatic compaction, native REST catalog, managed snapshot lifecycle. Fourteen months after the re:Invent 2024 announcement, this is the enterprise practitioner assessment: what teams migrated from traditional S3 + Glue Catalog setups, the Lake Formation column masking gap that affects regulated workloads, and the migration decision framework for data engineering teams evaluating the switch.
Read more →Amazon EKS Auto Mode: How AWS Finally Solved the Node Management Problem
EKS Auto Mode reached GA in January 2025, promising to eliminate worker node management overhead from Kubernetes operations. Fourteen months later, this is the practitioner verdict: what Auto Mode actually manages, where the Karpenter relationship stands, the real migration path from Managed Node Groups, honest cost benchmarks, and the specific workload categories for which Auto Mode is not the answer.
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