Latest news with #DavisCoPilot
TECHx
6 days ago
- Business
- TECHx
Dynatrace Unveils Upgraded 3rd Gen AI Observability Platform
Home » Tech Value Chain » Global Brands » Dynatrace Unveils Upgraded 3rd Gen AI Observability Platform Dynatrace announced major upgrades to its 3rd generation AI-powered observability platform. The enhancements aim to help enterprises unlock greater value from analytics, AI, and automation. The platform redefines observability by integrating data from IT, cloud, security, and business operations. Thousands of customers already benefit from its ability to turn data into real-time, intelligent actions. According to Bernd Greifeneder, Dynatrace's Founder and CTO, the platform transforms observability data into actionable insights. This supports autonomous intelligence and automation across complex environments. New features include cloud-native acceleration for development with real-time observability data, powered by Dynatrace MCP server. Preventive operations use Agentic AI for root cause analysis, remediation, and natural language interaction through Davis CoPilot. The platform also offers a transformative log management experience, supporting petabyte-scale ingestion and secure Kubernetes log collection. Steve Tack, Chief Product Officer at Dynatrace, said the updates help teams better understand dynamic digital ecosystems. The platform drives proactive automation to improve business outcomes. Dynatrace's AI capabilities have delivered measurable results for customers like Air France-KLM and TELUS, reducing operational impact and optimizing workflows. The company also revealed partnerships with industry leaders like DXC Technology to accelerate enterprise innovation and AI-driven application modernization. Dynatrace advances its AI-powered observability platform New features support cloud-native, AI-driven development and operations Partnerships expand AI insights for enterprise digital transformation
Techday NZ
7 days ago
- Business
- 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."
Channel Post MEA
21-05-2025
- Business
- Channel Post MEA
Dynatrace Integrates AI And LLM Observability Platform With NVIDIA Enterprise AI Factory
Dynatrace has announced that it is integrating its full-stack, AI and LLM Observability solution into the newly unveiled NVIDIA Enterprise AI Factory validated design. This enables enterprises using NVIDIA's validated design for NVIDIA RTX PRO servers and other NVIDIA Blackwell infrastructure to deploy their own on-premises AI factory with real-time observability and AI-driven insights delivered by the Dynatrace platform. Uniquely equipped with a powerful AI engine, Davis AI — which delivers real-time automated anomaly detection and root cause analysis alongside recommended remediation actions powered by Davis CoPilot — the Dynatrace platform is an ideal solution for monitoring and managing AI and agentic AI deployments. Enterprises deploying the NVIDIA Enterprise AI Factory validated design will be able to leverage Dynatrace's AI-powered observability platform to a utomatically detect customer-facing issues using topology, transaction, and code-level information to precisely pinpoint the root cause of problems at speed, helping IT teams maintain performance, reliability, and security across AI workflows. The NVIDIA Enterprise AI Factory full-stack validated design offers guidance for enterprises to build and deploy their own on-premises AI factory. It's designed to support a wide range of AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time data analysis. It features expertly designed NVIDIA Blackwell accelerated infrastructure tailored to enterprise needs, integrating specialized AI software to ensure seamless operation and robust performance. And it's validated by NVIDIA IT, tapping into their engineering know-how and partner ecosystem to help enterprises achieve time-to-value and mitigate the risks of AI deployment. This integration addresses increasing demand for on-premises AI infrastructure in regulated sectors such as healthcare, finance, and government, and where system reliability and compliance are paramount. By incorporating Dynatrace into NVIDIA Enterprise AI Factory validated design, customers using NVIDIA Blackwell systems can benefit from real-time, AI-powered data insights for the seamless operationalization of AI workflows. 'Full-stack AI and LLM Observability is fundamental to running mission-critical infrastructure at scale,' said Alois Reitbauer, Chief Technology Strategist at Dynatrace. 'Our collaboration with NVIDIA enables us to bring advanced observability to the heart of enterprise agentic AI deployments so they're implemented optimally and securely, add business value and lend themselves to higher degrees of automation. Whether organizations are training cutting-edge models, orchestrating physical AI systems, developing agentic AI capabilities or analyzing real-time data streams, Dynatrace allows them to respond faster, operate with confidence, and effectively understand and optimize their AI deployments.' 'As AI adoption accelerates, enterprises need to monitor a growing ecosystem of applications and deployments across their infrastructure,' said John Fanelli, vice president, Enterprise Software at NVIDIA. 'Dynatrace's integration with the NVIDIA Enterprise AI Factory reference design offers advanced observability that lets businesses operate NVIDIA Blackwell-based AI systems with performance transparency and operational intelligence from day one.' 0 0
Techday NZ
19-05-2025
- Business
- Techday NZ
Dynatrace partners with NVIDIA to boost enterprise AI observability
Dynatrace has entered a partnership with NVIDIA to integrate its full-stack AI and large language model (LLM) observability solution into the NVIDIA Enterprise AI Factory validated design, which has been recently unveiled. The NVIDIA Enterprise AI Factory validated design aims to provide enterprises with guidance to build and deploy on-premises AI infrastructure, supported by real-time observability and AI-driven insights through the Dynatrace platform. The integration is intended to meet the rising demand for on-premises AI in sectors where regulatory compliance and system reliability are critical, such as healthcare, finance, and government. By incorporating Dynatrace's observability capabilities, organisations deploying NVIDIA Blackwell systems will have access to real-time, AI-driven operational insights. This is designed to facilitate the deployment, monitoring, and management of AI workflows within enterprise environments. The Dynatrace platform includes Davis AI, an AI engine that delivers automated anomaly detection, root cause analysis, and remediation recommendations using Davis CoPilot. The platform is designed to monitor and manage AI deployments, assisting IT teams in detecting issues at various levels, spanning topology, transactions, and code. According to Dynatrace, this capability enables organisations to proactively identify and resolve issues, which is key in maintaining system performance, security, and reliability as AI becomes increasingly integrated into business operations. The NVIDIA Enterprise AI Factory validated design is engineered to support a range of use cases, including AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time analytics. It features NVIDIA Blackwell accelerated infrastructure and incorporates specialist AI software to provide robust performance that meets enterprise requirements. The validated design also draws on NVIDIA's engineering expertise and partner ecosystem, aiming to help enterprises reduce risks associated with AI deployment and accelerate time-to-value for new AI initiatives. Dynatrace stated that the joint solution addresses the particular needs of industries where oversight and compliance are paramount. The two companies anticipate increased adoption of on-premises AI factories in these sectors as digital transformation and regulatory requirements converge. Alois Reitbauer, Chief Technology Strategist at Dynatrace, said: "Full-stack AI and LLM Observability is fundamental to running mission-critical infrastructure at scale. Our collaboration with NVIDIA enables us to bring advanced observability to the heart of enterprise agentic AI deployments so they're implemented optimally and securely, add business value and lend themselves to higher degrees of automation. Whether organisations are training cutting-edge models, orchestrating physical AI systems, developing agentic AI capabilities or analysing real-time data streams, Dynatrace allows them to respond faster, operate with confidence, and effectively understand and optimise their AI deployments." John Fanelli, Vice President, Enterprise Software at NVIDIA, commented: "As AI adoption accelerates, enterprises need to monitor a growing ecosystem of applications and deployments across their infrastructure. Dynatrace's integration with the NVIDIA Enterprise AI Factory reference design offers advanced observability that lets businesses operate NVIDIA Blackwell-based AI systems with performance transparency and operational intelligence from day one." The collaboration is positioned to provide enterprises with tools for precise optimisation and governance of their AI investments, particularly as organisational use of AI expands in complexity and scope.
