Category: Integration & 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 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.

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 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 […]

Learn a simpler, faster method for updating your Lambda code that doesn’t require manual updates to HAQM S3. We provide a fully configured AWS CloudFormation template with Lambda code on AWS CodeCommit.

Learn how to create a more secure LAMP stack with AWS WAF, Route 53 domain, and AWS Certificate Manager. This post walks you through automation steps to deploy a highly available LAMP-stack application with a web application firewall.

Learn how to reduce log-storage costs by automating retention settings in HAQM CloudWatch. By default, CloudWatch Logs stores log data indefinitely, which is helpful. But as AWS workload logging grows, so do your log-storage costs. To reduce costs, establish a log-retention policy and apply it across all your log groups, ideally automatically.

Simulate recovering an HAQM Aurora global database after a disaster. Walk through three failover scenarios, observe their effect on Terraform state, and learn how to maintain the global database topology and configuration using Terraform.

Learn how to use an HAQM CloudWatch agent to automate the collection of custom metrics for two HAQM EC2 instances. The solution is based on a tagging strategy combined with AWS Systems Manager State Manager to enforce specific CloudWatch agent configurations for EC2 instances that are tagged appropriately.

Learn how to automate the deployment and management of an HAQM Aurora global database—across multiple AWS Regions—with Terraform. This architecture can provide disaster recovery from Region-wide outages with low recovery time objective (RTO) and recovery point objective (RPO).