Amazon DevOps Guru for Serverless Applications

In this talk, we’ll use a standard serverless application that uses API Gateway, Lambda, DynamoDB, SQS, Step Functions (and other AWS-managed services).
We'll explore how Amazon DevOps Guru recognizes operational issues and anomalies like increased latency and error rates (timeouts, throttling, and resource limits) and integrate DevOps Guru with PagerDuty to provide even better incident management.
Amazon DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. The service uses pre-trained ML models that are able to identify spikes in application requests, so it knows when to alert and when not to.

Speaker: Vadym Kazulkin
https://www.linkedin.com/in/vadymkazulkin/

When: August 28th, 6 PM EEST
Language: English
Registration link: https://zoom.us/webinar/register/5117230363522/WN_h1cfYRgmQCuW6S2AsAFBog