Dynatrace(DT)

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 07.26 appeared first on Dynatrace news .

Dynatrace Fleet Management gives administrators a single app to monitor, manage, and install OneAgent and ActiveGate components across large environments. The post End-to-end observability at scale starts with knowing what you’re running appeared first on Dynatrace news .

The combination of Dynatrace and Arize will bring together AI-native evaluation, open AI instrumentation, and unified observability to help organizations evaluate, operate, and continuously improve AI applications from development through production at enterprise scale. The post Dynatrace and Arize bring full-lifecycle observability to AI applications appeared first on Dynatrace news .

We have released Dynatrace version 1.345. To learn what’s new, have a look at the release notes. The post What’s new in Dynatrace SaaS version 1.345 appeared first on Dynatrace news .

Dynatrace simplifies Databricks observability by unifying cost, performance, job health, and security insights in one place—enabling faster, data‑driven decisions for FinOps, DevOps, and platform teams. The post Turn Databricks telemetry into actionable decisions with Dynatrace appeared first on Dynatrace news .

Dynatrace Security Researchers discovered a zero-day vulnerability in Langflow that allows any authenticated user to read, modify, or delete flows belonging to other users. Disclosed as CVE-2026-34046, this is a high severity vulnerability with a CVSS score of 8.7, affecting versions up to and including 1.5.0. To remediate this vulnerability in your environment, we strongly encourage to upgrade to version 1.5.1 or later. The post CVE-2026-34046: Broken authorization in Langflow exposes user flows appeared first on Dynatrace news .

Agentic AI and autonomous operations are demanding more from observability data architectures. Agents can't infer missing context, so data must arrive pre-connected, meaningful, and real-time. The AI lakehouse is emerging as the solution to unify data and provide semantic context. But most solutions lack real-time awareness and agility. The post Why AI agents need an AI lakehouse in the modern enterprise appeared first on Dynatrace news .

Key takeaways The US Office of Management and Budget (OMB) has replaced its 2021 logging mandate. M-26-14 rescinds M-21-31 and shifts federal agencies away from broad collection and retention requirements towards a risk-based, prioritized logging approach. The new guidance focuses on outcomes, not log retention & collection. Agencies are expected to prioritize telemetry that helps […] The post The US government just rewrote the rules on federal logging appeared first on Dynatrace news .

When an incident hits, nobody wants to spend precious minutes scrolling through raw logs looking for clues. Yet that’s exactly where many SRE and IT Operations teams find themselves. Logs are everywhere—application logs, infrastructure logs, web server logs, cloud services logs, and custom applications logs. Most teams already have plenty of logs. The challenge is […] The post Transforming any log source into actionable insights with Dynatrace OpenPipeline appeared first on Dynatrace news .

Quarterly Report filed 2026-08-05

Material Event filed 2026-08-05