Category: AWS CloudTrail

In this post, we explain how BMW uses generative AI to speed up the root cause analysis of incidents in complex and distributed systems in the cloud such as BMW’s Connected Vehicle backend serving 23 million vehicles. Read on to learn how the solution, collaboratively pioneered by AWS and BMW, uses HAQM Bedrock Agents and HAQM CloudWatch logs and metrics to find root causes quicker. This post is intended for cloud solution architects and developers interested in speeding up their incident workflows.

This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using HAQM SageMaker. A multi-account strategy is essential not only for improving governance but also for enhancing […]

In this post, we share the story of how The Weather Company (TWCo) enhanced its MLOps platform using services such as HAQM SageMaker, AWS CloudFormation, and HAQM CloudWatch. TWCo data scientists and ML engineers took advantage of automation, detailed experiment tracking, integrated training, and deployment pipelines to help scale MLOps effectively. TWCo reduced infrastructure management time by 90% while also reducing model deployment time by 20%.

AWS customers have been requesting a way to log activity in HAQM SageMaker, to help you meet your governance and compliance needs. I’m happy to announce that HAQM SageMaker is now integrated with AWS CloudTrail, a service that enables you to log, continuously monitor, and retain account information related to HAQM SageMaker API activity. HAQM […]

HAQM Lex is now integrated with AWS CloudTrail, a service that enables you to log, continuously monitor, and retain events related to API calls across your AWS infrastructure, to provide a history of API calls for your account. HAQM Lex API calls are captured from the HAQM Lex console or from your API operations using […]