Amazon Web Services (AWS) has announced a new fully-managed operations service that uses machine learning to make it easier for developers to improve application availability.
It does this by automatically detecting operational issues and recommending specific actions for remediation, CEO Andy Jassy said, delivering the re:Invent keynote on Tuesday.
The service, Amazon DevOps Guru, identifies anomalous application behaviour, such as increased latency, error rates, or resource constraints that could cause potential outages or service disruptions, and then alerts developers with these issue details. It flags the resources involved, the issue timeline, as well as related events via Amazon Simple Notification Service (SNS) and partner integrations like Atlassian Opsgenie and PagerDuty, Jassy explained.
The aim is to help organisations quickly understand the potential impact and likely causes of the issue with specific recommendations for remediation.
"Developers can use remediation suggestions from Amazon DevOps Guru to reduce time to resolution when issues arise and improve application availability and reliability with no manual setup or machine learning expertise required," AWS says in a blog post[1].
"Application downtime events caused by faulty code or config changes, unbalanced container clusters, or resource exhaustion (e.g. CPU, memory, disk, etc.) inevitably lead to bad customer experiences and lost revenue."
Like many of AWS's customer-facing services, DevOps Guru has been used internally, with Jassy touting it as the culmination of 20 years of operational expertise in building, scaling, and maintaining highly available applications for Amazon.com.
Speaking with ZDNet about the new service, director of public sector technology and transformation in Australia and New Zealand Simon Elisha said ultimately, DevOps is all about doing a lot more with a lot less and moving more quickly. He said DevOps Guru is the right tooling to make that happen.
"If you think about systems today, they