Dynatrace, the leading AI-powered observability platform, has been named a Leader and an Outperformer in the 2025 GigaOm Radar Report for Kubernetes Observability. GigaOm evaluated 23 of the top Kubernetes observability solutions based on a range of criteria, including scalability, ease of use, compliance and governance, cost, ecosystem and flexibility.
Dynatrace’s positioning as a Leader and an Outperformer affirms its ability to provide customers with scalable, AI-powered root cause analysis and full-stack hybrid cloud observability into Kubernetes environments. Read a complimentary copy of the 2025 GigaOm Radar Report for Kubernetes Observability on website.
According to GigaOm analyst Dr. Shane C. Archiquette, the report’s author, “Dynatrace was classified as an Outperformer, given its fast-paced innovation in AI-driven observability and telemetry unification. The platform’s continued fusion of security, observability, and automation positions it as a strategic solution for enterprises looking to consolidate tooling and scale their SRE operations with intelligence at the core.”
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Visibility into Kubernetes environments continues to pose a challenge for enterprises, compared to traditional technology stacks. Dynatrace’s Davis® AI engine combines the best of causal, predictive, and generative AI techniques to surface and contextualize root causes automatically. The platform’s AI capabilities are a major differentiator in reducing MTTR and align with enterprise needs for intelligent automation to manage complex, multi-environment architectures. As a result, Dynatrace provides critical business context, as it helps teams predict and prevent issues before they impact end users, directly tying observability to business outcomes.
“GigaOm’s recognition reaffirms our commitment to redefining observability for a new era of autonomous intelligence,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “Being named both a Leader and an Outperformer highlights the momentum behind our platform as enterprises navigate increasingly complex, cloud-native environments. By combining unified observability and security with agentic AI, we are enabling customers to prevent issues, automatically remediate issues, as well as continuously optimize Kubernetes environments.”
Source: Businesswire
