340 updates from Dynatrace and Grafana Labs in the last 30 days. We read them all so you don't have to.
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.
Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.
Dynatrace positions itself as an AI-driven, full-stack monitoring solution that emphasizes automation and deep visibility into user experiences and transactions, targeting enterprises seeking comprehensive, out-of-the-box observability. Grafana Labs focuses on empowering users with open-source tools for customizable monitoring, appealing to organizations prioritizing flexibility, vendor independence, and integration with diverse data sources. Dynatrace differentiates through its closed, automated platform with built-in analytics, while Grafana emphasizes open architecture and user control over monitoring infrastructure.
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Weekly updates per vendor, last 12 weeks.
Page-type activity over the last 30 days. Brighter cells = more updates.
DynatraceGrafana LabsDynatrace focused heavily on enterprise-scale AI observability and agentic operations, releasing tools for LLM quality evaluation (dt-evals) and orchestrating multi-cloud AI agents for autonomous incident resolution. Their activity centered on integrating observability directly into developer workflows and IDEs, supported by partnerships with Microsoft and Port AI. In contrast, Grafana Labs focused on expanding its k6 testing capabilities, introducing synthetic monitoring version channels, and enhancing its "Assistant" for automated investigations. While Dynatrace prioritized AI-driven automation and high-stakes performance intelligence, Grafana Labs emphasized granular dashboard controls, database observability, and practical performance testing workflows.
Last updates we detected for each vendor.
Dynatrace highlights how Edward Jones modernized its Kubernetes operations using a unified data foundation. This transition provides end-to-end visibility and reduced alert noise across distributed cloud layers.
Dynatrace is hosting a half-day immersive event for McKesson focused on optimizing platform use through AI-driven observability. The event covers topics such as Kubernetes, OpenTelemetry, and real user monitoring to improve business insight
Dynatrace released SaaS updates 1.338 and 1.339, featuring major upgrades to Dynatrace Assist and new observability capabilities for AI coding agents. The updates also include an Atlassian Rovo integration and improved dashboard and pipelin
Dynatrace hosts a roundtable discussing the evolution of observability and its critical role in business performance. The session explores how AI and increasing system complexity are shifting the industry from reactive monitoring to proacti
Dynatrace is seeking a Partner Marketing Executive to drive demand generation and integrated campaigns across the EMEA Central and Eastern Europe region. The role focuses on managing strategic partner relationships and optimizing pipeline t
Grafana Labs provides documentation explaining how to create, manage, and visualize data using Grafana dashboards. The guide covers data source integration, panel customization, and sharing capabilities for various monitoring needs.
Grafana Labs released version 5.24.0 of the Grafana Operator to fix a medium-severity path traversal and privilege escalation vulnerability. The update includes a workaround using ValidatingAdmissionPolicy to secure Kubernetes service accou
Grafana Labs is removing filters from the resource permissions list in Grafana Cloud. This change ensures that administrators can see a complete list of all users and teams with access to a resource, providing full visibility into permissio
Grafana Labs has made section-level variables for rows and tabs generally available. This feature allows users to apply independent filters to specific rows or tabs within a single dashboard, enabling more granular control over multi-servic
Grafana Labs showcases how DataSnipper utilized Grafana Cloud to scale observability during its transition from a desktop-first product to a SaaS platform. The migration enabled the SRE team to unify metrics, logs, and traces, significantly
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