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Deep dives, tutorials and community stories — written by cloud engineers, for cloud engineers.
ACM ACME support turns certificate automation into a governance problem
AWS Certificate Manager now supports ACME for public certificates, giving teams a standard automation path while keeping domain control, audit, and policy centralized.
Bedrock managed entitlements make model access a platform control
Amazon Bedrock managed entitlements let organizations subscribe to marketplace models centrally and distribute access across accounts without broad AWS Marketplace permissions.
CloudFormation Express mode is about feedback loops, not just faster deploys
AWS CloudFormation Express mode shortens infrastructure iteration by completing after configuration is applied, but builders need clear guardrails for when stabilization still matters.
CloudFormation pre-deployment validation makes IaC failures cheaper
AWS CloudFormation and CDK pre-deployment validation now runs on stack operations, helping builders catch quota, Config, and ECR issues before failed deployments waste time.
Replicating S3 bucket configuration needs workflow discipline
AWS shows how Step Functions can replicate S3 bucket configuration across Regions, but builders should decide where automation ends and infrastructure as code should remain the source of truth.
Faster S3 access log queries make storage security more usable
AWS shows how CloudWatch and S3 Tables can make S3 access logs easier to query, which helps builders turn storage audit data into operational and security signals.
Lambda durable functions fit the messy middle of agent workflows
AWS Lambda durable functions give multi-agent and human-in-the-loop workflows checkpointing, replay, callbacks, and polling without forcing every team to assemble custom orchestration infrastructure.
Redshift multi-warehouse improvements reduce the analytics freshness trade-off
Amazon Redshift multi-warehouse enhancements improve materialized views, remote DDL, and concurrency scaling so analytics teams can separate ingestion and consumption more cleanly.
Secure ML environments need productivity and exfiltration controls together
An AWS architecture using SageMaker AI, VPC endpoints, DNS controls, and WorkSpaces Secure Browser shows how ML teams can protect sensitive data without returning to expensive air-gapped workflows.
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