AWS Cloud Operations & Migrations Blog

Category: Artificial Intelligence

Auditing generative AI workloads with AWS CloudTrail

With the emergence of generative AI being incorporated into every aspect of how we utilize technology, a common question that customers are asking is how to properly audit generative AI services on AWS, such as Amazon Bedrock, Amazon Sagemaker, Amazon Q Developer, and Amazon Q Business. In this post, we will demonstrate common scenarios that […]

Alarm Context Tool Architecture Diagram

Respond to CloudWatch Alarms with Amazon Bedrock Insights

Overview When operating complex, distributed systems in the cloud, quickly identifying the root cause of issues and resolving incidents can be a daunting task. Troubleshooting often involves sifting through metrics, logs, and traces from multiple AWS services, making it challenging to gain a comprehensive understanding of the problem. So how can you streamline this process […]

Using Amazon Q Business to streamline your operations

Amazon Q, is a new generative artificial intelligence- (AI)-powered assistant designed for work that can be tailored to your business. You can use Amazon Q to have conversations, solve problems, generate content, gain insights, and take action by connecting to your company’s information repositories, code, data, and enterprise systems. Amazon Q provides immediate, relevant information […]

Planning Migrations to successfully incorporate Generative AI

The recent rise of generative artificial intelligence (generative AI) solutions presents challenges to migrations that are in flight and to migrations that are just beginning. The business problem is that generative AI complicates cloud migrations by introducing additional risks related to data isolation, data sharing, and service costs. For example, the US Space Force has […]

Gain Insights with Natural Language Query into your AWS environment using Amazon CloudTrail and Amazon Q in QuickSight

AWS CloudTrail tracks user and API activities across your AWS environments for governance and auditing purposes. Large enterprises typically use multiple AWS accounts, and many of those accounts might need access to a data lake managed by a single AWS account. By using Lake Formation integration with CloudTrail Lake, you can securely aggregate the data […]

Create AWS Config rules efficiently with Generative AI

AWS Config enables businesses to assess, audit, and evaluate the configurations of their AWS resources by leveraging AWS Config rules that represent your ideal configuration settings.  For example a Security Group that allows ingress on port 22 should be marked as noncompliant. AWS Config provides predefined rules called managed rules to help you quickly get […]

Modernizing Account Management with Amazon Bedrock and AWS Control Tower

Introduction The integration of Generative AI into cloud governance transforms AWS account management into a more automated and efficient process. Leveraging the generative AI capabilities of Amazon Bedrock alongside tools such as AWS Control Tower and Account Factory for Terraform (AFT), organizations can now expedite the AWS account setup and management process, aligning with best […]

Custom Post-launch actions and Deployment scripting using AWS Systems Manager and Amazon CodeWhisperer

In Part 1 of this series, you learned about Blue/Green testing and deployment on AWS, a key strategy that increases application availability and reduces deployment risk by simplifying the rollback process if a deployment fails. We explored live replication using AWS Application Migration Service (AWS MGN) and introduced prebuilt post-launch actions with AWS Systems Manager […]

Accelerating Blue/Green Deployments with AWS MGN Post-Launch Actions

Customers are becoming more aware of the benefits of migrating to AWS in a world increasingly pivoting towards cloud adoption. A recent whitepaper by IDC found that customers who migrate to AWS can experience a 51% reduction in the cost of operations, a 62% increase in IT staff productivity, and a 94% reduction in downtime. […]

Automate the creation of AWS Support cases using Amazon CloudWatch alarms and Amazon Bedrock

Automate the creation of AWS Support cases using Amazon CloudWatch alarms and Amazon Bedrock

For production applications, the Mean-Time-To-Recovery (MTTR) is critical. In line with this, AWS offers Business, Enterprise On-Ramp and Enterprise support plans where AWS customers can benefit from shorter response time for cases related to production and business critical workloads. However, without having an automated way to notify AWS support, creating a case is a manual […]