Dynatrace Delivers Coverage for Microsoft Azure and Google Cloud functions

Software intelligence company Dynatrace has extended the Dynatrace platform’s observability and advanced AIOps capabilities to all major serverless architectures. In addition to existing support for AWS Lambda, this includes Microsoft Azure Functions, Google Cloud Functions, as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. As a result, DevOps, and site reliability engineering (SRE) teams can automatically analyze, troubleshoot, and optimize serverless applications to drive innovation at scale.

“While serverless architectures offer greater scalability and flexibility, they generate massive amounts of data and few answers about how to optimize the infrastructure and applications that run on them,” said Steve Tack, SVP of product management at Dynatrace. “By providing full end-to-end observability across multi-cloud serverless offerings, 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.”

Separately, the company also announced it is delivering software intelligence, including observability, application security, and advanced AIOps capabilities, as code. This goal is to enable developers who are adopting everything-as-code practices to easily incorporate software intelligence capabilities into their applications. As a result, they can automate the orchestration of all resources across the software development lifecycle that are required to deliver cloud-native applications and infrastructure at scale. In addition, developers can ensure their applications achieve standards and service level objectives (SLOs) for critical metrics, including performance, quality, and security, or automatically initiate corrective action when these standards are not met. These enhancements to Dynatrace help development teams bring higher quality, more secure innovations to market faster, and with greater efficiency.

By enabling developers to access libraries of templates for reusable configurations, Dynatrace says it is making it easier for development teams to establish and adhere to organizational best practices for observability and security without adding friction to the development process. This is made possible through additional API endpoints, which enable and extend configuration-as-code for multiple Dynatrace capabilities, including anomaly detection and alerting, dashboarding and analytics, and data enrichment.

“Organizations adopting practices like GitOps and infrastructure-as-code also require observability and automation-as-code to increase speed and resiliency,” said Tack. “Unlike alternative solutions that stop with basic metrics and require manual configuration, Dynatrace extends to intelligent observability, advanced AIOps, and application security. These capabilities drive real-time actions to ensure teams achieve SLOs and optimize critical business metrics. This enables development, DevOps, and SRE teams to bring high quality, secure innovations to market faster, and at enterprise-scale.”

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