Dynatrace unveils AI-powered platform to drive autonomous IT
The updated observability platform introduces a range of features aimed at simplifying cloud operations, strengthening IT security, and supporting teams as they manage complex and dynamic digital infrastructures. Thousands of enterprise customers are already working with the new platform to enable data-driven decisions and automated actions across various operational environments.
Redefining observability
The latest enhancements expand observability to encompass not only insights but also automation across information technology, cloud, security, and business functions. Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace, stated, "We are elevating the value of observability and building for the future of AI. The 3rd generation platform has been built to harness a goldmine of observability data in context and turn it into real-time knowledge for AI, creating actionable insights and automation, paving the way for autonomous intelligence."
Central to the 3rd generation platform is Grail, a massively parallel processing data lakehouse. This infrastructure unifies observability, security, and business data, offering AI-driven analytics and automated workflows designed to extract precise business insights from varied telemetry sources. These new capabilities address the prevailing growth of data within cloud-native and distributed systems, making real-time analysis and decision-making more accessible to enterprises.
Development acceleration
The platform includes features designed specifically for developer productivity and cloud-native architectures. Developers can now ingest and analyse data from cloud and serverless environments via self-service access. Enhanced data visualisation options have also been introduced, alongside a live debugger that supports thousands of developer sessions simultaneously with privacy protections. The Dynatrace MCP server further allows integration of real-time observability data directly into AI-assisted development workflows, enabling prompt issue resolution and bolstering security directly within development environments.
Operational automation
Dynatrace has expanded the Davis AI capabilities for preventive operations, now including agentic AI for automated root cause analysis and remediation across scenarios involving multiple teams. The suite features guided troubleshooting, interactive recommendations, and natural language capabilities for summarising and explaining incidents, aiming to minimise manual interventions. Davis CoPilot provides teams with a natural language interface to conduct advanced analytics, develop workflows, and create dashboards, enhancing collaboration between ITOps, SRE, DevSecOps, and development teams.
Log management improvements
The company has also released upgrades to its log management systems. Businesses can analyse logs in real time and in context with other observability data through enhancements to the Dynatrace Logs app and Davis CoPilot. New flexible pricing models have been introduced, including both retention and usage-based options, and the platform now supports hot storage for up to ten years. Organisations can manage log data at petabyte-per-day scale, with simplified, secure log collection for Kubernetes environments, reducing the overhead commonly associated with legacy log management solutions.
Steve Tack, Chief Product Officer at Dynatrace, commented, "With the volume of data worldwide expected to double over the next three years, plus increasingly dynamic and complex digital ecosystems and the rise of AI, businesses need solutions that do more than provide visibility. Our newest capabilities are designed to drive proactive, intelligent automation that help entire teams across an organisation connect the dots to better understand their digital systems and continuously improve business outcomes."
Customer feedback "The AI and predictive capabilities from Dynatrace were a differentiator," said Jos Kerssens, Senior Vice President, IT Operations & Cloud Transformation at Air France-KLM. "We're confident that any problem that arises can be dealt with quickly, dramatically reducing operational and revenue impact."
Kulvir Gahunia, Director, Site Reliability Office at TELUS, said, "At TELUS, AI is fundamental to our digital transformation strategy, and our partnership with Dynatrace has been valuable in enhancing our capabilities. By combining our Agentic AI initiatives with Dynatrace's AI Observability capabilities, we've successfully optimised our development and operations workflows. This collaboration has enabled us to streamline incident resolution to minutes, from detection to pull requests. Through this integration of AI technologies, we're driving innovation and delivering measurable business impact while reducing downtime."
Partner ecosystem
Dynatrace's partner network includes collaborations with industry service providers to further extend the platform's reach. James Taylor, Global General Manager, Enterprise Applications at DXC Technology, said, "By combining DXC's enterprise transformation expertise with Dynatrace's next-generation observability platform, we empower the world's leading brands to accelerate application modernisation and harness the full power of AI-driven insights. 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."
Industry perspective
Industry analysts have also recognised the new platform's impact. Rob Strechay, Managing Director & Principal Analyst Cloud Native, Data Platforms, Infrastructure at theCube Research, remarked, "Dynatrace 3rd generation observability platform represents a significant leap forward in managing the complexity of modern, cloud-native and AI-driven environments. By unifying data and automating workflows with advanced AI capabilities, Dynatrace empowers enterprises to not only address operational challenges but also enable autonomous operations at scale. This approach is redefining how organisations turn complexity into clarity, unlocking new opportunities for innovation and driving measurable business outcomes."
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Techday NZ
23-07-2025
- Techday NZ
Dynatrace unveils AI-powered platform to drive autonomous IT
Dynatrace has announced enhancements to its observability platform, unveiling a suite of new capabilities focused on accelerating the adoption of autonomous intelligence in enterprise operations. The updated observability platform introduces a range of features aimed at simplifying cloud operations, strengthening IT security, and supporting teams as they manage complex and dynamic digital infrastructures. Thousands of enterprise customers are already working with the new platform to enable data-driven decisions and automated actions across various operational environments. Redefining observability The latest enhancements expand observability to encompass not only insights but also automation across information technology, cloud, security, and business functions. Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace, stated, "We are elevating the value of observability and building for the future of AI. The 3rd generation platform has been built to harness a goldmine of observability data in context and turn it into real-time knowledge for AI, creating actionable insights and automation, paving the way for autonomous intelligence." Central to the 3rd generation platform is Grail, a massively parallel processing data lakehouse. This infrastructure unifies observability, security, and business data, offering AI-driven analytics and automated workflows designed to extract precise business insights from varied telemetry sources. These new capabilities address the prevailing growth of data within cloud-native and distributed systems, making real-time analysis and decision-making more accessible to enterprises. Development acceleration The platform includes features designed specifically for developer productivity and cloud-native architectures. Developers can now ingest and analyse data from cloud and serverless environments via self-service access. Enhanced data visualisation options have also been introduced, alongside a live debugger that supports thousands of developer sessions simultaneously with privacy protections. The Dynatrace MCP server further allows integration of real-time observability data directly into AI-assisted development workflows, enabling prompt issue resolution and bolstering security directly within development environments. Operational automation Dynatrace has expanded the Davis AI capabilities for preventive operations, now including agentic AI for automated root cause analysis and remediation across scenarios involving multiple teams. The suite features guided troubleshooting, interactive recommendations, and natural language capabilities for summarising and explaining incidents, aiming to minimise manual interventions. Davis CoPilot provides teams with a natural language interface to conduct advanced analytics, develop workflows, and create dashboards, enhancing collaboration between ITOps, SRE, DevSecOps, and development teams. Log management improvements The company has also released upgrades to its log management systems. Businesses can analyse logs in real time and in context with other observability data through enhancements to the Dynatrace Logs app and Davis CoPilot. New flexible pricing models have been introduced, including both retention and usage-based options, and the platform now supports hot storage for up to ten years. Organisations can manage log data at petabyte-per-day scale, with simplified, secure log collection for Kubernetes environments, reducing the overhead commonly associated with legacy log management solutions. Steve Tack, Chief Product Officer at Dynatrace, commented, "With the volume of data worldwide expected to double over the next three years, plus increasingly dynamic and complex digital ecosystems and the rise of AI, businesses need solutions that do more than provide visibility. Our newest capabilities are designed to drive proactive, intelligent automation that help entire teams across an organisation connect the dots to better understand their digital systems and continuously improve business outcomes." Customer feedback "The AI and predictive capabilities from Dynatrace were a differentiator," said Jos Kerssens, Senior Vice President, IT Operations & Cloud Transformation at Air France-KLM. "We're confident that any problem that arises can be dealt with quickly, dramatically reducing operational and revenue impact." Kulvir Gahunia, Director, Site Reliability Office at TELUS, said, "At TELUS, AI is fundamental to our digital transformation strategy, and our partnership with Dynatrace has been valuable in enhancing our capabilities. By combining our Agentic AI initiatives with Dynatrace's AI Observability capabilities, we've successfully optimised our development and operations workflows. This collaboration has enabled us to streamline incident resolution to minutes, from detection to pull requests. Through this integration of AI technologies, we're driving innovation and delivering measurable business impact while reducing downtime." Partner ecosystem Dynatrace's partner network includes collaborations with industry service providers to further extend the platform's reach. James Taylor, Global General Manager, Enterprise Applications at DXC Technology, said, "By combining DXC's enterprise transformation expertise with Dynatrace's next-generation observability platform, we empower the world's leading brands to accelerate application modernisation and harness the full power of AI-driven insights. 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." Industry perspective Industry analysts have also recognised the new platform's impact. Rob Strechay, Managing Director & Principal Analyst Cloud Native, Data Platforms, Infrastructure at theCube Research, remarked, "Dynatrace 3rd generation observability platform represents a significant leap forward in managing the complexity of modern, cloud-native and AI-driven environments. By unifying data and automating workflows with advanced AI capabilities, Dynatrace empowers enterprises to not only address operational challenges but also enable autonomous operations at scale. This approach is redefining how organisations turn complexity into clarity, unlocking new opportunities for innovation and driving measurable business outcomes."
Techday NZ
14-07-2025
- Techday NZ
Dynatrace tops Gartner report for observability platform strengths
Dynatrace has been ranked number one in four out of six use cases in the latest 2025 Gartner Critical Capabilities for Observability Platforms report. The company, which specialises in AI-powered observability, was evaluated alongside 19 other vendors in the annual Gartner analysis. Dynatrace achieved the highest scores for Cost Optimisation (4.32 out of 5), Site Reliability Engineering (4.3 out of 5), Business Insights (4.3 out of 5), and AI Engineering (4.29 out of 5). The platform also scored 4.28 out of 5 in Platform Operations and 4.29 out of 5 in Software Engineering. This Critical Capabilities report is provided as a companion to the 2025 Gartner Magic Quadrant for Observability Platforms. In the Magic Quadrant report, Dynatrace was recognised as a Leader and received the highest position for Ability to Execute among the 20 evaluated vendors. Gartner evaluation The Gartner Critical Capabilities for Observability Platforms report is designed to offer in-depth insights into the strengths and differentiated offerings of each provider. Gartner's approach helps IT decision-makers make comparisons based on specific business requirements and technical use cases that are pivotal for digital operations. Commenting on the recognition, Steve Tack, Executive Vice President and Chief Product Officer at Dynatrace, said, "As today's digital ecosystems grow increasingly complex, advanced AI-powered observability has become essential for managing and optimising cloud-native environments. We are honoured to be recognised by Gartner as we believe we empower our customers with real-time, contextual insights and AI-powered, intelligent answers. The Dynatrace platform provides businesses with a unified view across their entire digital ecosystem, automates operations across the lifecycle and empowers them to understand their business like never before." The report places Dynatrace ahead of competitors in several areas key to enterprise IT operations and digital transformation, with high marks in both traditional and emerging use cases. According to Gartner's scoring, Dynatrace maintained a consistent performance across all evaluated criteria. Magic Quadrant achievement "We are proud to once again be recognised with the highest position for Execution in the Gartner Magic Quadrant for Observability Platforms," said Steve Tack, EVP, Chief Product Officer at Dynatrace. "In our opinion, this recognition reflects our unwavering commitment to continuous innovation for our customers. As companies navigate increasingly complex cloud-native digital environments, AI-powered end-to-end observability is critical for success. We believe this acknowledgment validates our mission to empower customers with precise, real-time insights and intelligent automation from data, enabling them to tackle their most complex business challenges with confidence." The 2025 report marks the fifteenth consecutive year that Dynatrace has been named a Leader in the Magic Quadrant for Observability Platforms, underscoring the company's sustained focus on supporting cloud-native and hybrid IT operations for enterprise clients. Gartner stated, "As an essential companion to the Gartner Magic Quadrant, this methodology provides deeper insight into providers' product and service offerings by extending the Magic Quadrant analysis." Industry context The observability market continues to grow in importance due to increasing emphasis on digital transformation, with businesses across sectors investing in platforms capable of providing visibility into complex, distributed IT environments. Observability platforms such as Dynatrace are being adopted to enhance system reliability, manage risk, and optimise performance in real time. The Magic Quadrant and associated Critical Capabilities reports are regarded by IT leaders as key resources for benchmarking vendor performance and establishing technology strategy. Gartner's annual evaluation includes a rigorous assessment process, with vendors judged on their Ability to Execute and Completeness of Vision, as well as their performance in specific technical and business use cases. The high ranking for Dynatrace is based on its platform's technical capabilities, customer feedback, and market presence as determined by Gartner's analysts.
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