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.
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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.
Read more →Amazon Aurora DSQL in Production: What 15 Months Teaches Enterprise Architects
Aurora DSQL promised active-active multi-region SQL with no conflict resolution code. Fifteen months after the re:Invent 2024 announcement, this is the honest production assessment: what OCC delivers, where the feature gaps still bite, the migration blockers to audit before committing, and the cost model that makes it genuinely compelling for multi-tenant SaaS architectures.
Read more →Bedrock Multi-Agent Collaboration: From re:Invent Demo to Enterprise Production
Amazon Bedrock Multi-Agent Collaboration reached GA at re:Invent 2024, enabling supervisor agents to orchestrate specialised sub-agents across enterprise domains. This is the production reality check: routing quality, token cost multiplication, failure modes that don’t surface until scale, parallel invocation patterns, and the compliance gap that catches regulated industry teams — Guardrails don’t propagate from supervisor to sub-agents.
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