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Dynatrace Adds Cloud Automation Module

Dynatrace announced the addition of a Cloud Automation Module to its Software Intelligence Platform.

This new Module will leverage the automation and intelligence at the core of the Dynatrace Platform to orchestrate the application development lifecycle process, including automating code tests and quality checks against an organization’s service level objectives (SLOs). This orchestration is powered by a fully-supported version of Keptn, an open-source, CNCF project. This addition to the Dynatrace Platform will transform how development, DevOps, and Site Reliability Engineering (SRE) teams develop and manage cloud-native applications, enabling them to deliver innovation faster and with less risk.

Dynatrace Cloud Automation leverages the AI and automation of the Dynatrace Software Intelligence Platform to enhance development, DevOps, and SRE teams’ processes with:

- Automated quality checking of pre-production applications against SLO-based quality gates to ensure error-free code moves through each stage of the delivery pipeline, without manual checks or intervention.

- Automated, closed-loop remediation of releases that fail in production, including roll-back of canary or blue/green deployments, management of feature flags, orchestration of remediation runbooks, triggering incident management workflows, and precise context for developers through AI-powered root-cause analysis.

- Automatic release inventory and version comparison to continuously evaluate the performance of individual release versions, and if an issue is found, automatically restore the most stable version, helping teams deliver the highest quality releases, consistently.

“In dynamic cloud-native architectures, ensuring high-quality, secure, and fast release cycles is incredibly time consuming, with manual processes and siloed visibility across the application lifecycle,” said Steve Tack, SVP of Product Management at Dynatrace. “Dynatrace Cloud Automation seamlessly integrates with an organization’s existing DevOps toolchain and automates mundane tasks to give teams time back for additional innovation. Through this release, we are advancing both our customers’ and the industry’s movement toward highly automated, AI-driven DevOps.”

The Dynatrace Cloud Automation Module will be available within the next 90 days. It will join the Infrastructure Monitoring, Application and Microservices Monitoring, Digital Experience Monitoring, Business Analytics, and Application Security modules as part of the Dynatrace Software Intelligence Platform.

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Dynatrace Adds Cloud Automation Module

Dynatrace announced the addition of a Cloud Automation Module to its Software Intelligence Platform.

This new Module will leverage the automation and intelligence at the core of the Dynatrace Platform to orchestrate the application development lifecycle process, including automating code tests and quality checks against an organization’s service level objectives (SLOs). This orchestration is powered by a fully-supported version of Keptn, an open-source, CNCF project. This addition to the Dynatrace Platform will transform how development, DevOps, and Site Reliability Engineering (SRE) teams develop and manage cloud-native applications, enabling them to deliver innovation faster and with less risk.

Dynatrace Cloud Automation leverages the AI and automation of the Dynatrace Software Intelligence Platform to enhance development, DevOps, and SRE teams’ processes with:

- Automated quality checking of pre-production applications against SLO-based quality gates to ensure error-free code moves through each stage of the delivery pipeline, without manual checks or intervention.

- Automated, closed-loop remediation of releases that fail in production, including roll-back of canary or blue/green deployments, management of feature flags, orchestration of remediation runbooks, triggering incident management workflows, and precise context for developers through AI-powered root-cause analysis.

- Automatic release inventory and version comparison to continuously evaluate the performance of individual release versions, and if an issue is found, automatically restore the most stable version, helping teams deliver the highest quality releases, consistently.

“In dynamic cloud-native architectures, ensuring high-quality, secure, and fast release cycles is incredibly time consuming, with manual processes and siloed visibility across the application lifecycle,” said Steve Tack, SVP of Product Management at Dynatrace. “Dynatrace Cloud Automation seamlessly integrates with an organization’s existing DevOps toolchain and automates mundane tasks to give teams time back for additional innovation. Through this release, we are advancing both our customers’ and the industry’s movement toward highly automated, AI-driven DevOps.”

The Dynatrace Cloud Automation Module will be available within the next 90 days. It will join the Infrastructure Monitoring, Application and Microservices Monitoring, Digital Experience Monitoring, Business Analytics, and Application Security modules as part of the Dynatrace Software Intelligence Platform.

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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 ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

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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