Dynatrace announces new enhancements to its observability platform as part of its Perform conference. The announcements focus on three areas: AI, development and cloud security.
Dynatrace is hosting its annual Perform conference this week and plans to reinforce the event’s name with new announcements. Under the motto “What you don’t see, you can’t improve,” it is greatly expanding its observability platform. The enhancements bring more visibility to AI, development and cloud security: three areas in which you can score as an IT company.
“AI was at the core of our platform long before the GenAI hype, we’re not just hitching a ride on the hype,” says Chris Geebelen, Solutions Engineering Director for Dynatrace in the Benelux and Nordics region, virtually guiding us through the announcements. “From the beginning, our platform offers causal and predictive AI. We extended this with NLP to help companies to understand the cause of problems faster. The shorter the duration of problems, can be kept, the smaller the impact on the business.
From reactive to proactive
Dynatrace’s AI engine is called Davis. Dynatrace is extending Davis AI to include capabilities for preventive IT operations. This means businesses can no longer just solve problems as soon as they occur, but predict and prevent them. Davis AI uses advanced AI techniques to give IT teams early warning of potential incidents and provides automatic recommendations for troubleshooting.
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A key aspect of the update is the ability to automatically adjust Kubernetes deployments based on actual usage. In addition, root cause analysis is enhanced with natural language processing, allowing IT teams to respond to failures more quickly and efficiently.
Observability for developers
To better support development teams, Dynatrace is introducing an observability solution tailored for developers. This provides real-time insights into application performance, infrastructure health and user experience. Developers can now take advantage of a Live Debugger, which allows them to analyze problems without the need for re-deployments.
In addition, a self-service model has been added, allowing development teams easier access to observability tools through developer portals and integrated development environments. This helps reduce data silos and accelerates team collaboration.
“In this layer, we convert tools from a developer environment to an effective production environment, to reduce the gap between development and business. AI points the way, but for more complex problems, developers want to be able to go a step beyond root cause analysis,” Geebelen explains.
Firm stature
Finally, Dynatrace is moving further and further into the field of cloud security. In doing so, Geebelen says the company is not skating on thin ice: “The data our platform processes is not only interesting for observability, but also for security. With regulations such as DORA and NIS2 coming into effect, companies are facing new challenges.”
Today’s announcement is a new Cloud Security Posture Management tool. This extension provides enterprises with better security and compliance capabilities for hybrid and multi-cloud environments. The CSPM solution extends the existing Kubernetes capabilities and helps enterprises with regulatory compliance. By combining security and observability data in a single platform, enterprises can optimize their security strategy and respond to threats faster. Automatic risk assessment and remediation allow organizations to manage their security policies more efficiently.
With these extensions, Dynatrace aims to help companies innovate faster and better manage the complexity of modern IT environments. By deploying AI-driven automation in both IT operations and security, organizations can work more efficiently and minimize risk. The announced solutions are expected to be available within 90 days.