Amazon DevOps Guru
#211 · Level 3 · Modern architecture · AI and machine learningConcept
Section titled “Concept”Amazon DevOps Guru uses ML to catch unusual behavior in an app and suggests possible fixes. It analyzes CloudWatch metrics, CloudTrail events and other operations data. It learns what normal behavior looks like, then catches anything that strays from it. It groups related problems together and shows them as an insight, along with possible causes and suggestions. This lets you catch problems early without setting thresholds yourself.
Simple example
Section titled “Simple example”An experienced mechanic who can tell something is wrong just by hearing the sound of the car.
Why it’s needed
Section titled “Why it’s needed”Among thousands of metrics, people cannot easily spot the signal of a real problem.
Where it’s used
Section titled “Where it’s used”Catching problems early, such as a database slowing down or errors going up.
Azure equivalent
Section titled “Azure equivalent”Azure Monitor (smart detection)
Learn more
Section titled “Learn more”For details and the latest information, see the official documentation: