Dynatrace(DT)

Dynatrace has completed its acquisition of Arize. The acquisition combines Arize’s AI-native tracing, evaluation, and experimentation capabilities with Dynatrace observability across applications, infrastructure, user experiences, and business processes. Together, these capabilities create the foundation for full-lifecycle AI observability – from development and evaluation through deployment, operation at scale, and continuous improvement. Arize builds directly for […] The post Dynatrace completes acquisition of Arize to advance full-lifecycle AI observability appeared first on Dynatrace news .

If Dynatrace looks different today, that’s intentional. The design refresh incorporates customer feedback to improve the user experience by reducing visual layering on page surfaces and improving contrast in dark mode. Status and chart colors are more vibrant and easier to tell apart, and charts have new themed palettes alongside the existing options. The refresh […] The post A design refresh for every Dynatrace App, including yours appeared first on Dynatrace news .

Material Event filed 2026-09-25

Dynatrace has achieved the international standard certification for AI management systems, ISO/IEC 42001:2023. The certification applies to the AI management systems (AIMS) supporting the Dynatrace platform, including the AI-powered capabilities Dynatrace develops and embeds in Dynatrace SaaS and Dynatrace Managed. The post Dynatrace achieves ISO/IEC 42001 certification appeared first on Dynatrace news .

Modern businesses are sitting on a goldmine of information. Your observability data can help you understand what is breaking, what is underperforming, and where your next improvement should come from. The gap isn’t data – it is the distance between seeing something and being able to do something about it That’s exactly what Kiro Crew, […] The post From insight to innovation: How Kiro Crew, Dynatrace, and AWS are helping teams do more appeared first on Dynatrace news .

You’ve run kubectl describe pod. Your dashboard shows 40 millicores requested for the api-server container. You probably assumed your monitoring had the full picture. The Kubernetes scheduler actually reserved 1000 millicores — a full CPU core — for it. How could both values be true? If you’re sizing clusters, building cost models, or tuning HPA […] The post Your pod may be requesting 25× more CPU than you think — and Kubernetes won’t tell you appeared first on Dynatrace news .

This series covers recent Dynatrace releases and updates, focusing on what’s new, what’s changed, and how these recent enhancements can benefit you and your organization. Each post covers newly available capabilities and where to explore them. The post Dynatrace Release Radar 08.26 appeared first on Dynatrace news .

Dynatrace is now listed in the Cursor Marketplace as a verified plugin. One install connects Cursor to your Dynatrace environment through the Model Context Protocol (MCP) server and loads 30 Dynatrace skills, giving Cursor access to live Dynatrace data and the context to effectively analyze the data. Connecting your environment Connect Cursor to your Dynatrace […] The post Investigate production issues from Cursor with the Dynatrace plugin appeared first on Dynatrace news .

OpenTelemetry standardizes how organizations collect traces, metrics, and logs. Dynatrace adds the topology and context needed to connect that telemetry across user experiences, services, databases, hosts, and AI workloads. This connected context means you can spend less time trying to understand your environment and more time on the work that drives business outcomes. OpenTelemetry’s graduation […] The post Connect OpenTelemetry signals end-to-end with Dynatrace appeared first on Dynatrace news .

On September 24, some 10,000 developers gathered at WeAreDevelopers Americas 2026 in San Jose to discuss the future of software development. The post Runtime is where code tells the truth. Are you listening? appeared first on Dynatrace news .

Platform engineering is making real progress, but fragmented tooling, uneven automation gains, and new AI governance demands are keeping teams from realizing their full potential. The data shows where teams are getting stuck and what they can do to move forward. The post How to tackle platform engineering’s biggest challenges in 2026 appeared first on Dynatrace news .