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.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
