Ask Your Logs Anything: Building a Conversational Interface with AWS Lambda and Bedrock

During a production incident, the last thing your team wants is to write complex queries to find the needle in the haystack. What if you could simply ask, "What were the most common errors for the checkout service in the last 15 minutes?" I just published a detailed guide on how to build a powerful, serverless AIOps pipeline on AWS that makes this a reality. We use a Retrieval-Augmented Generation (RAG) pattern to create a natural language interface for your application logs. In the article, you'll find: 🔹 A complete serverless architecture using Amazon Bedrock, OpenSearch Serverless, and Lambda. 🔹 A step-by-step guide to enriching logs with vector embeddings for semantic search. 🔹 Practical prompt engineering tips for getting accurate answers from Anthropic's Claude. 🔹 A link to a production-ready Terraform repository to deploy the entire solution yourself. This is more than just search; it's about information synthesis. It's the future of observability.