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Dynatrace Application Monitoring 6 and Dynatrace User Experience Management 6 Released

Dynatrace (formerly Compuware APM) announced the release of Dynatrace Application Monitoring 6 and Dynatrace User Experience Management 6.

As today's user interactions increasingly happen over mobile and digital channels, businesses need to understand their users' behavior and perception, in order to maximize usage, customer satisfaction and conversion. Gaining those insights demands more than the evolution of existing sample-based APM solutions, which were architected to capture data related to poorly performing transactions only. Understanding the experience and behavior of digital users, requires the capture and analysis of customer visits without gaps, regardless of device, location and time. Dynatrace 6 brings a new architecture that enables businesses to capture and analyze each user visit and actions, and understand how conversion, satisfaction, user behavior and performance correlate.

"Many APM solutions claiming to address user experience management today are in fact repurposed from traditional sampling-based techniques and focused on monitoring application health, not users' experience," said Steve Tack, VP of Product Management at Dynatrace. "This new architecture enables anyone to capture not just slow transaction data, but any data that pertains to customers' visits. This data provides tremendous insights into user behaviors across channels, and how conversion and user experience correlate."

This release also greatly simplifies the deployment, management and monitoring of APM through set-up wizards, auto-instrumentation of Apple iOS and Swift-based apps, and simple business transaction definition.

Dynatrace 6 capabilities include:

- New architecture for gap-free data capture, reducing agent communication by 90% increasing interactive analysis by 10x, and providing high availability support with automatic failover of agents and collectors.

- New Agent set-up wizards, enabling installation of an agent in minutes.

- New Business Transaction Configurator to create web-based business transactions in seconds.

- New Auto-Instrumentation for iOS: you can go from an iOS app to an instrumented iOS app in less than 15 minutes -capturing user actions, network requests, crashes- without changing a line of code.

- Support for Swift and Apple new programming language.

- Out-of-the-box detection of swipes, taps, clicks, and remote calls for AngularJS, MooTools, and Prototype.

- New Dynatrace Agent for NGINX.

- First transactional APM solution for IBM IMS.

- In-Flight: a new, real-time user visibility dashboard for peak events.

- Thread Analysis for .NET, business dashboards and PHP & web server Improvements.

- New and improved agents for TIBCO ActiveMatrix, TIBCO EMS, Java 8, iOS 8, NGINX, HBase, Cassandra, MongoDB and iPlanet.

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Dynatrace Application Monitoring 6 and Dynatrace User Experience Management 6 Released

Dynatrace (formerly Compuware APM) announced the release of Dynatrace Application Monitoring 6 and Dynatrace User Experience Management 6.

As today's user interactions increasingly happen over mobile and digital channels, businesses need to understand their users' behavior and perception, in order to maximize usage, customer satisfaction and conversion. Gaining those insights demands more than the evolution of existing sample-based APM solutions, which were architected to capture data related to poorly performing transactions only. Understanding the experience and behavior of digital users, requires the capture and analysis of customer visits without gaps, regardless of device, location and time. Dynatrace 6 brings a new architecture that enables businesses to capture and analyze each user visit and actions, and understand how conversion, satisfaction, user behavior and performance correlate.

"Many APM solutions claiming to address user experience management today are in fact repurposed from traditional sampling-based techniques and focused on monitoring application health, not users' experience," said Steve Tack, VP of Product Management at Dynatrace. "This new architecture enables anyone to capture not just slow transaction data, but any data that pertains to customers' visits. This data provides tremendous insights into user behaviors across channels, and how conversion and user experience correlate."

This release also greatly simplifies the deployment, management and monitoring of APM through set-up wizards, auto-instrumentation of Apple iOS and Swift-based apps, and simple business transaction definition.

Dynatrace 6 capabilities include:

- New architecture for gap-free data capture, reducing agent communication by 90% increasing interactive analysis by 10x, and providing high availability support with automatic failover of agents and collectors.

- New Agent set-up wizards, enabling installation of an agent in minutes.

- New Business Transaction Configurator to create web-based business transactions in seconds.

- New Auto-Instrumentation for iOS: you can go from an iOS app to an instrumented iOS app in less than 15 minutes -capturing user actions, network requests, crashes- without changing a line of code.

- Support for Swift and Apple new programming language.

- Out-of-the-box detection of swipes, taps, clicks, and remote calls for AngularJS, MooTools, and Prototype.

- New Dynatrace Agent for NGINX.

- First transactional APM solution for IBM IMS.

- In-Flight: a new, real-time user visibility dashboard for peak events.

- Thread Analysis for .NET, business dashboards and PHP & web server Improvements.

- New and improved agents for TIBCO ActiveMatrix, TIBCO EMS, Java 8, iOS 8, NGINX, HBase, Cassandra, MongoDB and iPlanet.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...