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Monitoring: AWS Batch

AWS Batch is a fully-managed service for running batch computing workloads. It allows you to quickly and efficiently run batch jobs of any scale on AWS. With AWS Batch, you can provision and manage your computing resources, schedule batch jobs, and analyze job results. The service automatically scales the infrastructure based on demand, so you only pay for what you use.

Why should you monitor AWS Batch?

Monitoring AWS Batch is important to ensure your batch jobs run efficiently and effectively. It enables you to optimize performance, reduce costs, and maintain fault tolerance, ensuring your batch workloads run smoothly and without issues.

Monitoring: AWS Batch

How does monitoring AWS Batch work?

Without further ado, marbot notifies you about issues detected during the execution of AWS Batch jobs. Here is what an alert caused by an AWS Batch job looks like in Microsoft Teams.

AWS Batch alert in Microsoft Teams

And here is the same alert in Slack.

AWS Batch alert in Slack

How do you set up monitoring of AWS Batch?

marbot works with Slack and Microsoft Teams. Please select your platform and follow the Getting Started guide.

Which events does marbot monitor in detail?

marbot creates EventBridge rules to monitor the following events automatically.

Event Type Description
Batch Job State Change Get alerted if a job fails.

More help needed? Or want to share feedback?

If you experience any issues, let us know.

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Chatbot for AWS Monitoring

Configure monitoring for Amazon Web Services: CloudWatch, EC2, RDS, EB, Lambda, and more. Receive and manage alerts via Slack. Solve incidents as a team.

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