Dynatrace Launches New Kubernetes Experience for Platform Engineering Teams
November 07, 2023
Share this

Dynatrace announced its new Kubernetes Experience for platform engineering teams.

Powered by the Dynatrace® platform’s observability, security, AI, and automation capabilities, the experience enables platform engineers to do the following:

- Provide tailored experiences for Kubernetes teams spanning all maturity levels, from experts to beginners, and ecosystems of all sizes, from a few to hundreds of clusters—including comprehensive visualizations and precise answers to track and optimize the health, performance, and security of clusters, nodes, namespaces, and workloads.

- Enable predictive maintenance with automated workflows that leverage the Dynatrace platform’s causal and predictive AI capabilities to detect and forecast anomalies in Kubernetes clusters and automatically determine their root cause, empowering engineers to address issues proactively and prevent negative impacts on the end-user experience.

- Create a reliable, secure, and scalable Kubernetes environment for developers using self-service capabilities that support key DevSecOps processes, including automated quality gates and automated validation of builds, deployments, and releases based on company-specific service-level objectives (SLOs).

“With the new Dynatrace Kubernetes Experience, platform engineers can now visualize and manage their entire Kubernetes environment in one location, leveraging AI-powered answers and automation to proactively identify and address issues before they impact customers,” said Steve Tack, SVP of Product Management at Dynatrace. “This provides platform engineers with powerful capabilities to manage the complexity inherent in cloud-native software development, enabling them to accelerate release cycles and help organizations innovate faster and more securely.”

The new Dynatrace Kubernetes Experience is expected to be generally available within 90 days of this announcement.

Share this

The Latest

May 17, 2024

In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...

May 16, 2024

In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...

May 15, 2024

Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...

May 14, 2024

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...

May 13, 2024

Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...

May 08, 2024

Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...

May 07, 2024

As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...

May 06, 2024

The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...

May 02, 2024

A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner survey ...