New cloud-native, AI observability, and log management capabilities further simplify operations and accelerate innovation
THE Dynatrace, the leading Artificial Intelligence (AI)-based observability platform, announces significant advancements in its third generation platform, enabling customers to derive even greater value from its capabilities. The platform is reimagining observability by combining the power of analytics, AI, and automation to drive progress toward autonomous intelligence. Thousands of enterprise users will benefit from the company's third-generation platform, helping organizations transform data into decisions, and then into immediate, intelligent actions.
Dynatrace meets the demands of large, dynamic, and complex enterprise environments by redefining observability beyond insights to automate IT, cloud, security, and business operations.
"We're elevating the value of observability and building for the future of AI," says Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace. "Our third-generation platform is designed to harness the goldmine of data generated by contextual observability and transform it into real-time knowledge with AI, creating actionable insights, automating, and paving the way for autonomous intelligence."
Find out more at “Dynatrace 3rd generation platform: Built for the world of Autonomous Intelligence”, by Bernd Greifeneder.
New features available on the 3rd generation platform
In today's digital economy, companies face an explosion of data across cloud-native architectures, distributed systems, and AI-powered applications. At the heart of Dynatrace's third-generation platform is Grail, a data lakehouse Massively parallel processing that seamlessly unifies observability, security, and business data. Combined with Dynatrace's AI-powered analytics and automation, companies transform telemetry into accurate business insights and intelligent, automated actions across the organization.
New Dynatrace observability platform capabilities prioritize seamless operations across hybrid and multicloud to generate measurable business results. Key recent advances include:
– Cloud-native and AI-native acceleration for development:
– Developers can easily ingest and analyze data from cloud and serverless architectures through self-service access. Dynatrace simplifies data visualizations for common cloud patterns and revolutionizes debugging (debugging) of production with the only real-time debugger (live debugger) that can scale to thousands of concurrent developer sessions per tenant with breakpoints that don't interrupt execution for each session – with privacy protections.
– The Dynatrace Model Context Protocol (MCP) server enables developers to bring real-time observability data directly into their AI-assisted development workflows to better inform designs, strengthen security posture, or debug issues without leaving the Integrated Development Environment (IDE).
– Preventive operations enabled by agentic AI:
– Automated root cause analysis and remediation of Davis AI have been expanded to include agentic AI capabilities, enabling preventative operations and self-healing in complex scenarios involving multiple teams. This includes guided troubleshooting, interactive recommendations, and natural language “explain and summarize” capabilities to minimize manual intervention and streamline collaboration across ITOps, Site Reliability Engineering (SRE), Platform Engineering, DevSecOps, and Development teams.
Davis CoPilot enables professionals to use a natural language interface to accelerate advanced analytics, easily create workflows or dashboards, and integrate with other technologies and solutions.
– Transformative log management experience:
– Dynatrace extends its unique capabilities to analyze all logs instantly – in the context of other observability data – through enhancements to the logs application and the engagement and explanations of the Davis CoPilot, revealing insights and answers previously hidden in the data.
– Dynatrace offers flexible pricing options, with retention-based and usage-based models, as well as hot/hot storage, with up to 10 years of retention.
Dynatrace achieves petabyte-per-day ingestion and management, allowing enterprises to manage enterprise-wide logs at scale with simple, automatic context analysis. The new, secure Kubernetes log collection simplifies the setup of cloud-native environments without the overhead and arduous work of competing legacy solutions with complex telemetry silos, storage layers, indexes, and schema definitions.
"With the volume of data worldwide expected to double in the next three years, increasingly dynamic and complex digital ecosystems, and the rise of AI, businesses need solutions that deliver more than visibility," said Steve Tack, Chief Product Officer at Dynatrace. "Our newest capabilities are designed to drive proactive, intelligent automation that helps entire teams across an organization connect the dots to better understand their digital systems and continuously improve business outcomes."
By integrating AI-powered systems with advanced automation, Dynatrace is helping customers turn data into action, driving meaningful results.
What customers say
“Dynatrace’s AI and predictive capabilities have been a game-changer,” says Jos Kerssens, Senior Vice President, IT Operations and Cloud Transformation, Air France-KLM. “We’re confident that any issues that arise can be addressed quickly, dramatically reducing the operational and revenue impact.”
“At TELUS, AI is core to our digital transformation strategy, and our partnership with Dynatrace has been invaluable in enhancing our capabilities,” said Kulvir Gahunia, Director of Site Reliability at TELUS. “By combining our agentic AI initiatives with Dynatrace’s AI observability capabilities, we have successfully optimized our development and operations workflows. This collaboration has enabled us to streamline incident resolution in minutes, from detection to resolution.” pull requestsThrough this integration of AI technologies, we are driving innovation and delivering measurable business impact while reducing downtime.”
What partners say
Dynatrace's partnerships with industry leaders like DXC further amplify its impact. These partnerships provide customers with customized solutions that can accelerate business innovation and operational excellence, reinforcing Dynatrace's commitment to redefining business outcomes.
“By combining DXC’s enterprise transformation expertise with Dynatrace’s next-generation observability platform, we empower the world’s leading brands to accelerate application modernization and harness the full power of AI-driven insights,” said James Taylor, Global General Manager, Enterprise Applications, DXC Technology. “As Dynatrace’s Global Partner of the Year, DXC is proud to lead the way in simplifying complexity, driving innovation, and enabling smarter, faster decision-making at scale.”
What analysts say
“Dynatrace’s third-generation observability platform represents a significant leap forward in managing the complexity of modern, cloud-native, AI-driven environments,” said Rob Strechay, Managing Director and Principal Analyst, Cloud Native, Data Platforms, and Infrastructure at theCube Research. “By unifying data and automating workflows with advanced AI capabilities, it empowers businesses not only to address operational challenges but also to enable autonomous operations at scale. This approach is redefining how organizations transform complexity into clarity, unlocking new opportunities for innovation and driving measurable business outcomes.”
Additional Resources:
– Video: Explore the latest Dynatrace platform capabilities paving the way for autonomous intelligence with CTO Bernd Greifeneder; Dana Harrison, Principal Site Reliability Engineer at TELUS; Kulvir Gahunia, Director of Site Reliability at TELUS; and Rob Strechay, Managing Director and Principal Analyst, Cloud Native, Data Platforms and Infrastructure at theCube Research.
– Blog: Dynatrace 3rd generation platform: Built for the world of Autonomous Intelligence, by Bernd Greifeneder, Founder and Chief Technology Officer of Dynatrace.
– Video: Defining Observability for What Comes Next.
– Video: Why the Dynatrace 3rd Gen Platform Matters for Development Teams.
– Video: Cloud-Native at Scale Requires Intelligence.
About Dynatrace
Dynatrace is powering observability for today’s digital businesses, helping transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help businesses, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and in X @dynatraceTo learn how you can simplify the cloud and maximize the impact of digital teams, take a free 15-day trial.
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