Emmanuel Odhiambo shows an example of such a system with architecture diagrams, step-by-step AWS console instructions, and real gotchas from production experience. It's worth checking out! (3️⃣/3️⃣)

Building reliable background job systems is harder than it looks. There are lots of managed services available in AWS to build something like this. You could use SQS for queuing, ECS Fargate for compute, DynamoDB for state, and S3 for outputs. (2️⃣/3️⃣)

Shivanshu Sharma walks through the Helm charts, config, and integration steps to get these up and running. (3️⃣/3️⃣)

The setup below includes monitoring both internal EKS resources and external endpoints using Blackbox Exporter, plus extending visibility to EC2 services through exporters for Apache, MySQL, and Java JVM. S3-backed log storage for Loki is also shown. (2️⃣/3️⃣)

Dennis Traub's article explains how this simplifies agent authentication. A single import statement replaces complex OAuth flows. Check out the repo on GitHub with working examples. (3️⃣/3️⃣)

This tool is open-source and works with LangChain, LlamaIndex, and Microsoft's Agent Framework. It automatically signs requests with IAM credentials, fitting naturally into your AWS stack while supporting standard cross-account access patterns. (2️⃣/3️⃣)

Rinat Mukaev shows the full setup including manifests, monitoring integration, and discusses possible failure scenarios. (3️⃣/3️⃣)

The solution below includes passive health checks with Prometheus, automatic rollbacks on error thresholds, and gradual traffic shifting between versions. This approach is good when you need zero-downtime deployments with built-in safety nets for production cases. (2️⃣/3️⃣)

Aurora DSQL can complement DynamoDB in the serverless toolkit, offering SQL with true serverless operational benefits. (4️⃣/4️⃣)

DSQL is GA now but the team is working on adding a lot more features.

The Kabob Store demo uses containers on ECS Fargate for compute flexibility, allowing code with little change to run across Lambda, Fargate, or EC2. (3️⃣/4️⃣)

With the intro of Aurora DSQL there is now an SQL option.

The blog and repo explore how Aurora DSQL bridges the gap between SQL databases and serverless architectures to power my Kabob store. The full-stack store is setup using Terraform and provisions in seconds with pay-per-use pricing. (2️⃣/4️⃣)

between terminal and IDE for AI help.

Jonathan Vogel and Saurabh Dahal detail how specialized agents can pre-load your API patterns, infrastructure rules, or component libraries. This is an interesting approach to keeping AI assistance focused and context-aware in the terminal. (3️⃣/3️⃣)

, DevOps, or frontend work, each focused on just what matters for that task.

Your existing Kiro IDE setup works seamlessly here, with the same steering files, MCP servers, and configs. The Auto agent picks optimal models for each task, balancing cost and quality. No more context switching ... (2️⃣/3️⃣)

Mohit Deshpande's article shows how good practices transform EventBridge from an open bus into verified trust at scale. Building secure event architectures means treating every event as a statement of intent that needs verification. (3️⃣/3️⃣)

Smart attackers don't break in, they listen first. By creating catch-all rules in EventBridge, they can silently map your entire event flow. The solution isn't complex: SCPs, narrow event patterns, and proper IAM roles turn openness into trust. (2️⃣/3️⃣)

If you're using Kubernetes you should likely be using Helm as well. (3️⃣/3️⃣)

The article from Rost Glukhov goes over Helm's core concepts including charts, templates, and values - showing how to create packages. It also covers practical patterns like lifecycle hooks, OCI registry support, and integrating with GitOps tools like ArgoCD and Flux. (2️⃣/3️⃣)