Intelligent Operations

Accelerate operational investigations and remediation

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Overview

Use the extensive operational experience that AWS has accumulated and refined over 17 years of delivering cloud services to millions of customers around the world. We've applied AI and machine learning (ML) to help enhance, accelerate, and automate your cloud operations processes. Intelligent operations allows you to easily observe your applications and infrastructure components, accelerate operational investigations and troubleshooting, and take actions to resolve and remediate operational issues, improving mean time to recovery (MTTR).

Benefits

Make use of AWS operational experience and scale

AWS has more operational experience and scale than any other cloud provider, delivering cloud services to millions of customers around the world for over 17 years. This experience is built into Amazon Q Developer's investigative capabilities to create and present you with investigation hypotheses, and guide you through troubleshooting and remediation—capabilities that no other cloud provider offers.

Simplify and accelerate operational investigations

Amazon Q Developer, together with Amazon CloudWatch, now allows you to begin an operational investigation from anywhere in the AWS Management Console. Amazon Q works alongside you, helping you identify anomalies in your applications and drive hypotheses on the root cause of the issue.

Quickly resolve issues using remediation suggestions

Amazon Q Developer suggests remediation actions for common AWS issues by surfacing relevant AWS Systems Manager Automation runbooks, AWS re:Post articles, and documentation. You can fill in key parameters and review runbook contents prior to running the runbook to resolve the issue.

For operators of all experience levels

CloudWatch automatically adds context to your observability data, allowing operators of all experience levels to expertly navigate across telemetry and related resources. Complementing this, Amazon Q works alongside you in your troubleshooting journey to identify anomalies in your application and drive hypotheses on the root cause of the issue, making use of over a decade of AWS operational experience and scale, saving you time in finding root cause.

Use cases

Identify root cause of application issues

You can configure Amazon Q Developer to automatically start investigating when a CloudWatch SLO alarm goes off. By the time you’ve opened your laptop, Amazon Q is already sifting through your telemetry looking for anomalies. Amazon Q uses its knowledge of your AWS resources to discover the relationships between them and suggest possible root cause for the alarm, helping you get back into production faster than ever before.

Accelerate analysis with added context to observability data

Amazon CloudWatch adds context to observability data, transforming disparate metrics and logs into real-time insights. This feature is integrated across the AWS Management Console, accessible from multiple entry points, so you can easily navigate related telemetry and visualize relationships between resources, to accelerate analysis.

Query telemetry data using natural language

Quickly gather insights from your observability data without needing extensive knowledge of the query language. You can ask questions of your logs and metrics in plain English, and CloudWatch will generate the appropriate queries for you.