In event-driven architectures on AWS, connecting real-time streaming sources—such as Amazon DynamoDB Streams, Amazon Kinesis Data Streams, Amazon SQS, and Amazon Managed Streaming for Apache Kafka (Amazon MSK)—to downstream event buses, queues, and analytical stores has historically required writing custom integration code. For years, the universal solution was “Lambda Glue”: a dedicated AWS Lambda function […]
Read more →Category: Software/System Design
Breaking the 29-Second Wall: Serverless GenAI & Agent Backends on AWS
When building production APIs on AWS, enterprise architects have long treated Amazon API Gateway as the default front door for serverless compute. For traditional CRUD microservices, its integration model is well understood. But as engineering teams transition from simple single-turn prompt completions to multi-turn autonomous agent loops, retrieval-augmented generation (RAG) pipelines, and reasoning models, they […]
Read more →Amazon Aurora DSQL vs. DynamoDB Global Tables: The Multi-Region Reality
A deep-dive architecture comparison between Amazon Aurora DSQL and DynamoDB Global Tables: speed-of-light consensus latency, Last-Write-Wins vs Serializable isolation, conflict handling, and serverless scaling.
Read more →Beyond Java: Production Pitfalls of AWS Lambda SnapStart in Python and .NET
A deep architectural dive into the hidden traps of AWS Lambda SnapStart for Python and .NET: zombie TCP sockets, expired SigV4 credentials, PRNG entropy collisions, and production remediation patterns.
Read more →AWS Lambda SnapStart in 2026: Crushing Java/C# Cold Starts
For nearly a decade, executing JVM and .NET serverless architectures inherently required accepting terrifyingly high multi-second cold-start initialization times. By deploying Firecracker MicroVM snapshotting arrays, AWS Lambda SnapStart fundamentally eliminates these bottlenecks instantly restoring memory. Here is a thorough practitioner guide navigating state constraints, securing CRaC hook workflows, and defeating broken deterministic UUIDs.
Read more →Mastering C# Records: When, Why, and How to Use Them in Production
After years of working with C# in enterprise environments, I’ve seen developers struggle with the same question: when should I use a record instead of a class? The answer isn’t as straightforward as the documentation suggests. In this article, I’ll share my perspective on records—battle-tested patterns, surprising gotchas, and the decision framework I use in […]
Read more →