In this video, we’ll dive into how to effectively monitor your Amazon Bedrock batch inference jobs using Amazon EventBridge. Learn how to track and respond to job state changes, including Success, Failed, and InProgress statuses, through EventBridge events. We’ll demonstrate setting up EventBridge rules, configuring notifications, and implementing automated responses to job status changes. Whether you’re managing large-scale AI model deployments or monitoring individual inference tasks, this tutorial will show you how to build a robust monitoring system for your Bedrock workloads.
Monitor Amazon Bedrock job state changes using Amazon EventBridge – https://go.aws/4k8FtGq
Subscribe to AWS: https://go.aws/subscribe
Sign up for AWS: https://go.aws/signup
AWS free tier: https://go.aws/free
Explore more: https://go.aws/more
Contact AWS: https://go.aws/contact
Next steps:
Explore on AWS in Analyst Research: https://go.aws/reports
Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace
Join the AWS Partner Network: https://go.aws/partners
Learn more on how Amazon builds and operates software: https://go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AmazonWebServices #AWS #AmazonBedrock #CloudComputing #AI #MLOps #AWSServices