Integration & Automation

Enhance customer experience with an integrated AI assistant

In this post, we demonstrate how to build an enterprise AI assistant solution that uses LLMs in HAQM Bedrock with the precision of enterprise knowledge bases using the RAG approach. By integrating AWS services such as Lambda and HAQM Bedrock, our solution enables organizations to securely access and retrieve proprietary data, providing contextually relevant and accurate responses. The RAG approach not only enhances the assistant’s ability to provide tailored responses within specific enterprise data domains, but also mitigates the risk of hallucinations. By injecting the latest enterprise proprietary knowledge into the response generation context, our solution makes sure that the assistant remains up-to-date and adaptable to evolving specific business needs. The sample code repository and CloudFormation template can enable organizations to streamline the development and deployment of their RAG-based AI assistant solutions.

Updating your AWS Elastic Disaster Recovery settings at scale with the DRS Settings Tool

Deploying AWS Elastic Disaster Recovery at scale provides robust protection for your infrastructure. The DRS Settings Tool is an invaluable resource for updating settings across your infrastructure efficiently. In this post, we show you how to setup and use the DRS Settings Tool to update all your Elastic Disaster Recovery source server settings in bulk.

A practical guide to getting started with policy as code

In this post, we detail the concepts, processes, and steps to get started with policy as code (PaC) and adopt this into your software development lifecycle. PaC can improve your overall security posture, improve consistency of service usage across your organization, and reduce rework or workloads deployed to your AWS accounts.

Automate security scans on HAQM EKS with Kubescape, AWS CodeBuild, and AWS CodePipeline

As organizations increasingly adopt HAQM Elastic Kubernetes Service (HAQM EKS) to manage their containerized applications, implementing robust security measures and maintaining compliance become critical. The scalable and flexible nature of HAQM EKS has made it a popular choice for businesses seeking to streamline their application deployment and management processes. However, with this adoption comes the […]

Build an automated deployment of generative AI with agent lifecycle changes using Terraform

This blog post guides you through implementing a generative AI intelligent chatbot using HAQM Bedrock and AWS services, including developer lifecycle changes. It covers creating a scalable chatbot infrastructure with Terraform, using services like HAQM Bedrock Agents, HAQM Bedrock Knowledge Bases, OpenSearch Service, Lambda, HAQM S3, and IAM. The focus on IaC and automation brings key DevOps benefits: version control, consistent deployments, reduced errors, faster provisioning, and improved collaboration.

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