Application performance management company Dynatrace Inc. said today it’s extending its observability and advanced AIOps capabilities to all major serverless computing platforms.

Serverless computing is a cloud computing model where infrastructure providers such as Amazon Web Services Inc. and Microsoft Corp. will manage computer servers on behalf of their customers. The advantage of this is that it frees up teams to focus only on their applications without worrying about the infrastructure that supports them.

However, serverless brings its own problems. Serverless apps often depend on services that run in different clouds or on-premises environments. As a result, teams need to build an event-driven communications system that allows their apps to talk to those services. It all adds up to a lot of complexity, with processes from one cloud provider having to communicate with components in an application hosted in another cloud.

This distributed application model makes it difficult for teams to get real-time visibility into their applications, and harder still to automate operations. But in order to leverage serverless to drive more innovation, teams need complete observability and the ability to automate. That’s where Dynatrace comes in.

With today’s update, Dynatrace is extending its PurePath distributed tracing technology to all serverless environments. Previously only available with AWS Lambda, it now works with Microsoft Azure Functions and Google Cloud Functions, as well as managed Kubernetes environments, messaging queues and cloud databases.

Companies can therefore perform advanced analytics and automatic root-cause analysis on serverless applications on any infrastructure. As a result, DevOps and site reliability engineering teams will be able to automatically discover, analyze, troubleshoot and optimize serverless applications at large scale, regardless of where they’re hosted, the company said.

Dynatrace Senior Vice President of Product Steve Tack said serverless architectures are used to accelerate the development and management of applications. However, he said, such apps are extremely dynamic and generate massive amounts of data.

“Traditional observability tools cannot manage this complexity, which causes DevOps and SRE teams to waste time analyzing, troubleshooting, and optimizing these modern cloud applications,” Tack said. “By providing full visibility into dependencies of all application components and enabling teams to automate operations with precise, AI-powered insights, Dynatrace allows organizations to adopt modern approaches that speed innovation while ensuring the best experience for customers.”

Image: Dynatrace