In part one, we took the journey from a POC monolith to a scaleable two-tier architecture. The focus is on the DevOps KPI deployment time and the testability. With the right tools - AWS SAM and Postman - the dirty work becomes a nice walk in the garden again. See what a KEBEG stack can achieve!
The way from a cool POC (proof of concept), like a walk in monets garden, to a production-ready application for an RAG (Retrieval Augmented Generation) application with Amazon Bedrock and Amazon Kendra is paved with some work. Let`s get our hands dirty. With streamlit and langchain, you can quickly build a cool POC. This two-part blog is about what comes after that.
Presentation Deploying resources with infrastructure as code is the recommended way to provision resources in AWS. The native AWS-way of doing it is by using Cloudformation or CDK (Cloud Development Kit), and you should of course do this from day one. But in real world sometimes somebody provisioned resources via the console, or there is a need of refactor your code and split your stack into multiple stacks. Luckily It is not very often we have cases where it’s required to import resources.
Bedrock is now available in eu-central-1. It’s time to get real and use it in applications. Reading all blog posts about Bedrock, you might get the impression that Python and LangChain is the only way to do it. Quite the opposite! As Bedrock makes calling the models available as AWS API, all AWS SDKs are supported! This post shows how to use Bedrock with Python, Javascript and GO.
RAG is a way to approach the “hallucination” problem with LLM: A contextual reference increases the accuracy of the answers. Do you want to use RAG (Retrieval Augmented Generation) in production? The Python langchain library may be too slow for your production services. So what about serverless RAG in fast GO Lambda?
“Everything fails all the time” has been preached to us by Werner Vogels for a few years now. Every engineer working on building and maintaining systems knows this to be true. Distributed systems come with their own kind of challenges, and one of the AWS services that help deal with those is AWS Step Functions. AWS Step Functions allow you to describe workflows as JSON and will execute those workflows for you. In this blog, we’ll explore what happens when things inevitably go wrong and the options the service offers to perform error handling and retries using an example application.
In a recent project, a colleague asked me to look at a HIVE_CURSOR_ERROR in Athena that they weren’t able to get rid of. Since the error message was not incredibly helpful and the way this error appeared is not that uncommon, I thought writing this may help you, dear reader, and future me when I inevitably forget about it again.
Lambda GO runtime is deprecated until the end of 2023. The new default custom Amazon Linux 2 runtime really speeds things up for GO. Now the cold-start is 2x faster than Python and 3x faster than node!
