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Monitoring: AWS Glue

AWS Glue is a fully-managed, serverless data integration service provided by Amazon Web Services (AWS). It makes it easy to extract, transform, and load (ETL) data for analytics using popular open-source tools such as Apache Spark and Apache Hive. AWS Glue provides a visual interface to create, run, and monitor ETL jobs. With AWS Glue, users can easily connect to a variety of data sources, including on-premises data stores, Amazon S3, and JDBC-compatible data sources.

Why should you monitor AWS Glue?

Monitoring AWS Glue is crucial to ensure the smooth functioning of data integration processes and to prevent any issues that may arise during ETL jobs. One of the primary reasons for monitoring AWS Glue is to receive timely notifications about failed jobs. AWS Glue performs ETL operations on large volumes of data, and when jobs fail, it can lead to delays in data processing and affect decision-making processes.

Monitoring: AWS Glue

How does monitoring AWS Glue work?

Without further ado, marbot monitors AWS Glue. Here is how an notification delivered to a Microsoft Teams channel looks like.

AWS Glue alert in Micoft Teams

And here is the same alert in Slack.

AWS Glue alert in Slack

How to setup monitoring of AWS Glue?

marbot works with Slack and Microsoft Teams. Please select your platform:

marbot for Slack

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

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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