AWS Infrastructure & Automation

In this post, we highlight how Fortra partnered with AWS to develop an innovative approach for automating security compliance checks and remediation across complex, multi-account, multi-Region organizations.

In this post, we demonstrate how to build an enterprise AI assistant solution that uses LLMs in Amazon Bedrock with the precision of enterprise knowledge bases using the RAG approach. By integrating AWS services such as Lambda and Amazon 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.

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.

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.

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

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

Learn about Turbot’s cloud scripting engine Flowpipe along with practical examples for automating cloud operations on AWS.

Learn how to get real-time notifications from AWS Security Hub and query for solutions in Slack, Microsoft Teams, or Amazon Chime using AWS Chatbot integrated with Amazon Q.

Learn how to refresh AWS Secret Manager secrets in long-running Amazon ECS tasks through automation using a Lambda function and a CloudFormation resource.

Learn how to use Steampipe’s AWS plugin to perform SQL queries on AWS API data directly from Steampipe or any Postgres or SQLite database.

Learn about best practices for AWS GovCloud (US) DevOps teams to consider as they work to maintain a secure infrastructure and adhere to compliance guidelines.

Learn how to implement Amazon EKS monitoring and alerting using a custom solution that automates EKS observability capabilities for dynamic performance metrics.

Learn how to configure an IAM Roles Anywhere solution that lets AWS Partner CRM Connector users authenticate with Salesforce using temporary AWS credentials, eliminating the need to hardcode them.

Learn about best practices and components that define a great blueprint while exploring a fully working, serverless blueprint.

Learn about some common approaches for collecting data from multiple AWS services across your organization, including common patterns with code samples that you can reuse to consume the data.

Learn about three different ways you can complete ACE mappings using AWS Partner CRM Connector Version 2.0.

Learn how to use AWS CloudFormation StackSets to automate and simplify data protection without duplicating existing backups on Amazon EBS, a high-performance block-storage service designed for Amazon EC2.

Learn how to use Amazon Bedrock to convert your non-AWS Terraform templates to the AWS Cloud in just a few steps, giving you back valuable time for more impactful, higher-value tasks in your organization.

Learn how the AWS Quick Start team reduced documentation delays by implementing a docs-as-code solution based on GitHub and AsciiDoc.

Learn how to use Amazon EKS Blueprints for CDK to simplify integration of common tooling and provisioning of complete, opinionated EKS clusters that meet specific application requirements. This solution is designed to replace the deprecated Amazon EKS Quick Start.