DevOps Guru-DevOps guidance and support

Example

DevOps Guru monitors AWS resource metrics and logs to identify unusual patterns that might indicate an emerging issue. For example, if the error rate of an application deployed on EC2 instances rises significantly, the system will trigger an alert, pointing to potentially problematic infrastructure components.

Scenario

A company deploying microservices notices increased HTTP error rates in one of their services. DevOps Guru detects this anomaly, correlates it with recent configuration changes, and advises the team on which EC2 instance group needs immediate scaling or debugging.

Example

The service provides a clear set of recommendations based on analysis of resource configurations, logs, and metrics. It might recommend increasing storage space or applying specific patches.

Scenario

An organization utilizing an RDS database encounters frequent latency issues during peak hours. DevOps Guru analyzes historical trends and advises adding more read replicas to balance the load efficiently.

Example

It notifies teams of potential risks and provides guidance on how to address them before they affect user experience. It may suggest increasing instance types, changing load balancer settings, or implementing redundancy.

Scenario

A SaaS provider managing several application clusters receives a recommendation to increase their load balancer’s timeout settings. Following this guidance prevents an impending outage during a high-traffic marketing campaign.