AWS Cloud Operations & Migrations Blog

Category: Amazon Machine Learning

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 […]

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 […]

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 […]

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 […]

Monitoring Generative AI applications using Amazon Bedrock and Amazon CloudWatch integration

Amazon Bedrock is an easy way to build and scale generative AI applications with foundation models (FMs). As a fully managed service, it offers a choice of high-performing FMs from leading AI companies including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. It also offers a broad set of capabilities needed to build generative […]

Simplify analysis of AWS CloudTrail data leveraging Amazon CloudWatch machine learning and advanced capabilities

AWS CloudTrail tracks user and API activities across AWS environments for governance and auditing purposes and allows customers to centralize a record of these activities. Customers have the option to send AWS CloudTrail logs to Amazon CloudWatch that simplifies and streamlines the analysis and monitoring of AWS CloudTrail recorded activities. Amazon CloudWatch anomaly detection allows […]

Setting up secure, well-governed machine learning environments on AWS.

Setting up secure, well-governed machine learning environments on AWS

When customers begin their machine learning (ML) journey, it’s common for individual teams in a line of business (LoB) to set up their own ML environments. This provides teams with flexibility in their tooling choices, so they can move fast to meet business objectives. However, a key difference between ML projects and other IT projects is […]