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Dynatrace Platform Extended to Major Serverless Architectures

Dynatrace extended the Dynatrace platform’s broad and deep 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 multicloud 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.”

These enhancements to Dynatrace will be generally available to customers within the next 90 days.

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Dynatrace Platform Extended to Major Serverless Architectures

Dynatrace extended the Dynatrace platform’s broad and deep 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 multicloud 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.”

These enhancements to Dynatrace will be generally available to customers within the next 90 days.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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