Featured Posts
SQS
+7
Oct 15, 2025
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4 min read
SL#39 - Make Your Serverless Stack Observable—Before It Breaks
Tracing async workflows, debugging across queues, and the metrics that actually matter—an advanced guide for serverless teams.
AWS
+3
Aug 3, 2025
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7 min read
SL#35 - Building a Serverless ETL Pipeline with AWS Glue: Integrating DynamoDB, S3, and OpenSearch
AWS Glue is a fully managed ETL (Extract, Transform, Load) service designed to simplify data integration. It automates much of the effort in building, maintaining, and running ETL jobs by providing a serverless environment, built-in transformation logic, and native integration with other AWS services like S3, DynamoDB, and OpenSearch.
DDD
+4
Oct 3, 2024
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12 min read
SL#33 - Understanding the C4 Architecture Model: A Detailed Breakdown
Adapting the C4 Model for Serverless, Domain-Driven Design (DDD), and Event-Driven Architecture (EDA)
Archive
AWS
+2
Jun 26, 2026
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9 min read
SL#83 - AWS AI Series (20/30) - From S3 to Insights in Under an Hour with SageMaker Unified Studio Serverless Notebooks
Stage your own data in S3, onboard into SageMaker Unified Studio with one click, then query it three ways in a single serverless notebook: Athena SQL, Athena for Spark, and a natural-language Data Agent.
AWS
+2
Jun 25, 2026
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10 min read
SL#82 - AWS AI Series (19/30) - Build a Company Assistant Over S3 and Confluence With a Custom Action in Amazon Q Business
Build an Amazon Q Business application that indexes your S3 documents, connects to Confluence, and runs a custom plugin action that hits your own API. Plan for 2 hours if you have used IAM Identity Center before, 3 if you have not.
AWS
+2
Jun 23, 2026
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8 min read
SL#80 - AWS AI Series (18/30) - Upgrade a Legacy Java 8 App to Java 21 With AWS Transform's Agentic CLI
Hand a legacy Java 8 Spring Boot app to an AWS agent and get back a Java 21 branch with a green build and a reviewable, commit-by-commit diff. About 60 to 90 minutes, most of it watching builds run.
AWS
+2
Jun 21, 2026
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9 min read
SL#77 - AWS AI Series (17/30) - Ship a Feature Through Kiro Specs With Property-Based Tests
Take one small, invariant-heavy feature, a fair money splitter, all the way through Kiro's spec workflow: EARS requirements, design, tasks, generated code, and a property-based test suite that actually tries to break it.
AWS
+2
Jun 20, 2026
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8 min read
SL#75 - AWS AI Series (16/30) - Build and Ship Your Own MCP Server on AWS Lambda
Write a custom MCP server with three tools and session memory, deploy it to Lambda behind API Gateway with Streamable HTTP, verify it with the MCP Inspector, and connect it to Claude.