897 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 LabsOver 14 days, both Dynatrace and Grafana Labs introduced significant updates. Dynatrace emphasized AI-powered observability, autonomous operations, and partnerships, including an acquisition of Bindplane, integration with ServiceNow, and events like Amplify 2026. It also highlighted new DEM capabilities, APM tools for AI, and collaborations with AWS and Visa. Grafana Labs launched AI observability features in Grafana Cloud, introduced tools like Loki Evolution, Git Sync, and the Grafana Assistant, and expanded its ecosystem with the Grafana Marketplace and o11y-bench benchmark. Both companies focused on AI-driven workflows, with Dynatrace stressing autonomous remediation and Grafana Labs prioritizing open-source tools and AI explainability. Neither company dominated in volume, but each addressed observability challenges through distinct technical and strategic approaches.
Last updates we detected for each vendor.
Dynatrace is hiring a Senior Director of Cloud Native Specialists to lead a team focused on Kubernetes, SRE transformation, and global GTM strategy. The role requires technical leadership, expertise in container runtimes, and experience in
Dynatrace is promoting the importance of APM and distributed tracing for agentic AI operations, targeting European regions. The campaign highlights these technologies as essential for managing LLM-driven systems.
Dynatrace is promoting a new foundation for agentic AI, designed to help enterprises move from experimentation to trusted autonomous operations with real-time facts and coordinated workflows.
Dynatrace ran a LinkedIn advertising campaign targeting Germany, Switzerland, and five other European countries from May 8 to May 10, 2026. The campaign focused on promoting the company's product or service with a specific value proposition
Dynatrace is promoting the importance of APM and distributed tracing as essential capabilities for operating agentic and LLM-driven systems, targeting developers and DevOps teams. The content encourages registration to learn more about thes
Grafana Labs shared a Mother's Day post celebrating mothers as the original incident responders with intuitive observability systems, highlighting their ability to detect anomalies and correlate signals across different areas.
Grafana Labs is hosting an AMA session on May 12 where their AI team will answer questions about AI topics including Grafana Assistant, AI Observability, and the company's AI engineering philosophy.
Grafana Cloud provides documentation for the Adaptive Logs HTTP API, detailing how to manage log ingestion through API endpoints, including exemptions, drop rules, and segment management.
Grafana Labs provides documentation on managing Adaptive Logs as code, emphasizing API integration and infrastructure-as-code workflows. The page includes webinar registration links and directs users to documentation indexes.
Grafana Labs introduces an AI-powered query troubleshooting feature in Database Observability, enabling automated diagnosis of slow queries with specific fix recommendations based on live Prometheus and Loki data.
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