{"id":8956,"date":"2022-02-02T14:06:06","date_gmt":"2022-02-02T14:06:06","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2022\/02\/02\/dynatrace-brings-observability-to-multicloud-serverless-architectures\/"},"modified":"2022-02-02T14:06:06","modified_gmt":"2022-02-02T14:06:06","slug":"dynatrace-brings-observability-to-multicloud-serverless-architectures","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2022\/02\/02\/dynatrace-brings-observability-to-multicloud-serverless-architectures\/","title":{"rendered":"Dynatrace brings observability to multicloud serverless architectures"},"content":{"rendered":"

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Application performance management company Dynatrace Inc.<\/a> said today it\u2019s extending its observability and advanced AIOps capabilities to all major serverless computing platforms.<\/p>\n

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.<\/p>\n

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.<\/p>\n

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\u2019s where Dynatrace comes in.<\/p>\n

With today\u2019s update, Dynatrace is extending its PurePath<\/a> 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\u00a0managed Kubernetes environments,\u00a0messaging queues and\u00a0cloud databases.<\/p>\n

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\u2019re hosted, the company said.<\/p>\n

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.<\/p>\n

\u201cTraditional observability tools cannot manage this complexity, which causes DevOps and SRE teams to waste time analyzing, troubleshooting, and optimizing these modern cloud applications,\u201d Tack said. \u201cBy 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.\u201d<\/p>\n

Image: Dynatrace<\/h5>\n
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