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Amazon DevOps Guru

An ML-powered operations service that detects anomalous application behaviour and recommends fixes, with reactive and proactive insights; it stops accepting new customers on October 29, 2026 and ends support on September 30, 2027.

2 min read · Last reviewed · MLA-C02

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What it is

Amazon DevOps Guru is a fully managed operations service that uses ML (Machine learning)Software that learns patterns from example data to make predictions or decisions, instead of following rules written by hand. A model is first trained on data, then used to make predictions on new data, which is called inference.Glossary entry to analyze operational data, application metrics, and events, find behaviour that deviates from normal patterns, and recommend fixes. It creates reactive insights for problems happening now (for example rising LatencyThe time between sending a request and receiving the response, usually measured in milliseconds. Distance and processing add to it; caching and serving users from nearby locations reduce it.Glossary entry and errors after a deployment) and proactive insights for risks that could cause problems later.

Availability: DevOps Guru stops accepting new customers on October 29, 2026. Existing customers can keep using it until September 30, 2027, after which it can no longer be accessed. The MLA-C02 exam lists it in scope, so recognize it; for new designs, use the alternatives below.

Concepts and features

  • Coverage: analyze a whole account, selected CloudFormation stacks, or resources with chosen tags, so you can focus on one application.
  • Insights group related anomalies (metrics, logs, events, and deployments) with likely causes and recommendations.
  • Notifications through Amazon SNS and EventBridge, and optional integration with AWS Systems Manager OpsCenter.
  • DevOps Guru for RDS analyzes database performance with Performance Insights data.

Alternatives for new designs

Need Service
Alarms that learn normal ranges for a metric Amazon CloudWatch anomaly detection alarms
Tracing where latency comes from AWS X-Ray and CloudWatch Application Signals
Investigating operational issues Amazon CloudWatch's investigation features
Unusual spend AWS Cost Anomaly Detection

Security, resilience, performance, and cost

Security

IAM controls access; DevOps Guru reads CloudWatch, CloudTrail, and Config data in your account; insights are encrypted.

Resilience

Its value is faster detection of operational issues, which shortens outages.

Performance

ML baselines adapt to each metric, which reduces the threshold tuning that static alarms need.

Cost

Charged by the resource hours analyzed and the API (Application programming interface)A defined way for one program to ask another for data or actions, such as a set of HTTPS requests and responses. Every AWS service is controlled through its API, which the console, the CLI, and the SDKs call for you.Glossary entry calls made; set coverage to None in each account and AWS RegionA separate geographic area where AWS runs its services, such as us-east-1 in Northern Virginia, made up of several Availability Zones. Most resources live in one Region; you choose Regions for latency, data residency, and the services you need.Glossary entry to stop charges.

Monitoring

Insights appear in the console and are sent through SNS and EventBridge.

Reverse mindmap: when the question points here

ML-based operations: which service?
  • DevOps Guru (no new customers from 2026-10-29)
    • Anomalies across an application's stack with recommendations leads to DevOps Guru insights
    • Focus on one CloudFormation stack leads to DevOps Guru coverage by stack
  • For new designs
    • Alarm when a metric leaves its normal band leads to CloudWatch anomaly detection
    • Find the slow service in a request leads to X-Ray

Key takeaways

  • DevOps Guru uses ML to find operational anomalies and give reactive and proactive insights with recommendations.
  • Coverage can be an account, CloudFormation stacks, or tagged resources; alerts go through SNS and EventBridge.
  • It stops accepting new customers on October 29, 2026, and ends support on September 30, 2027; use CloudWatch anomaly detection and X-Ray for new designs.

Sources

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