
Dynatrace announced Observability for Developers, a comprehensive set of solutions that empower the developer community with runtime insights and troubleshooting capabilities, accelerating the industry's "shift-left" movement.
Dynatrace now provides cloud-native application development teams with a powerful suite of differentiated capabilities, including:
- Easy Data Access and Exploration: Intuitive dashboarding and advanced log, metrics, and trace analytics enabled by the powerful Dynatrace AI engine, Davis® AI, makes it easy to track and optimize application performance, monitor health, analyze end-user interactions, view historical data, and provide forecasting, all in one place.
- Introducing Live Production Debugging to Enhance AI-powered Troubleshooting: As an extension of its AI-powered troubleshooting and debugging capabilities, including automatic root cause analysis, Dynatrace introduces Live Debugger. This new app enables developers to access real-time insights from runtime environments without requiring issue reproduction or redeployments. Developers can also extract debugging information without performance impact, and leverage contextual insights for rapid problem resolution.
- Enterprise Adoption with Self-service: To facilitate enterprise adoption while minimizing tool sprawl and data silos, Dynatrace enables observability teams and platform engineers to seamlessly implement a self-service model for developers. Tailored entry points and integrations with developer portals and integrated development environments (IDEs) unlock easy access to all developer productivity functionalities – including enriched OpenTelemetry logs, metrics, and traces for debugging with deep context – while maintaining a curated and compliant approach. In addition, a new pricing model will be introduced as part of the Observability for Developers solution so development teams can focus on building innovation without the fear of overages.
"Observability for Developers represents our commitment to empowering development teams with intelligent, context-aware solutions that allow them to innovate with speed and confidence," said Bernd Greifeneder, CTO and Founder at Dynatrace. "We're giving developers the ability to understand, troubleshoot, and optimize their applications with ease and precision. On top of this, we drive effective collaboration through AI-powered insights and automation to maximize productivity while providing leadership with improved evidence that their IT practices are safe, compliant, and adhere to company standards.”
The Live Debugger is currently in private preview and is expected to be available as part of the Dynatrace Observability for Developers solution in the next 90 days.
The Latest
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...