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
Jul 5, 2026
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8 min read
SL#91 - AWS AI Series (25/30) - Real-Time RAG: Stream Documents Through Kinesis Into an S3 Vectors Index That's Searchable in Seconds
Build a streaming pipeline where a document dropped onto a Kinesis stream is embedded, indexed in S3 Vectors, and answerable by a RAG query within seconds. No search cluster required.
AWS
+2
Jul 4, 2026
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9 min read
SL#90 - AWS AI Series (24/30) - Zero-ETL in Practice: Query Live DynamoDB Data in Redshift With No Pipeline Code
Wire a DynamoDB table to a Redshift Serverless workgroup so operational data lands in your warehouse automatically, then query it with SQL. All of it from boto3 and the Redshift Data API. Plan for 90 minutes, most of it waiting on AWS to provision.
AWS
+2
Jul 3, 2026
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11 min read
SL#88 - AWS AI Series (23/30) - Clean Your RAG Corpus Before It Poisons Your Answers: A Glue 5.1 Dedup and Quality Gate
Build a serverless Glue 5.1 job that strips junk, removes exact and near-duplicate chunks, and refuses to write the output unless it passes a Data Quality ruleset.
AWS
+2
Jul 1, 2026
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10 min read
SL#87 - AWS AI Series (22/30) - Athena as Your Data API: Feed Bedrock Prompts From Serverless SQL on S3
Build a feature-extraction layer that turns raw S3 data into compact prompt context with one Athena query, then injects it into a Bedrock call. No database to run, no pipeline to babysit. Plan for 60 to 90 minutes.