AWS

AWS

Manage AWS services — EC2, S3, Lambda, RDS, CloudFormation, IAM, and thousands more from your AI workspace.

development
Example use cases

What teams automate with AWS

7 realistic workflows that combine AWS with your other apps.

  • Engineering

    When AWS Lambda errors spike, inspect Mezmo, patch in GitHub, redeploy via Bitrise, and confirm in New Relic.

  • Security

    Weekly scan AWS IAM for stale keys, revoke in SSH bastions, document in Notion, and alert security in Slack.

  • Ops

    When AWS costs jump, attribute spend in Snowflake, open a Linear optimisation task, and review in Slack.

  • Engineering

    After S3 bucket policy changes, verify uploads from Firebase, run Heroku smoke tests, and update runbooks in Notion.

  • Data

    Each morning check AWS Glue job status, replay failures into Snowflake, and summarise in Metabase to Slack.

  • IT

    When new services launch on AWS, register them in Cloudflare, wire alerts to PagerDuty, and track in Linear.

  • Engineering

    Before peak traffic, scale AWS autoscaling groups, validate in New Relic, and coordinate comms in Slack.