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Compuware Technology Strategist Joins the Vendor Forum

Pete Goldin
Editor and Publisher
APMdigest

Klaus Enzenhofer, Technology Strategist for Compuware's Application Performance Management (APM) Business Unit, has joined the APMdigest Vendor Forum.

Enzenhofer influences the development of the Compuware dynaTrace Application Performance Management Solution and the Web Performance Optimization Tool Compuware dynaTrace AJAX Edition.

He has several years of experience in the field of Web Performance Optimization and User Experience Management, much of the time spent developing and running large-scale web portals at Tiscover GmbH.

Compuware APM is a leading solution for optimizing the performance of web, non-web, mobile, streaming and cloud applications. Driven by end-user experience, Compuware APM provides the market's only unified APM coverage across the entire application delivery chain — from the edge of the internet through the cloud to the datacenter.

Compuware APM helps customers deliver proactive problem resolution for greater customer satisfaction, accelerate time-to-market for new application functionality and reduce application management costs through smarter analytics and advanced APM automation.

Related Links:

Read Enzenhofer's first blog on the Vendor Forum: 3 Seconds or Else: Survey Shows Mobile Performance May Make or Break Holiday Sales

Read Enzenhofer's article: Down Goes the Internet (Again) – Part One: Are You Ready?

Read Enzenhofer's article: 4 Strategies to Ensure Website Performance

The Latest

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 ...

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 ...

Compuware Technology Strategist Joins the Vendor Forum

Pete Goldin
Editor and Publisher
APMdigest

Klaus Enzenhofer, Technology Strategist for Compuware's Application Performance Management (APM) Business Unit, has joined the APMdigest Vendor Forum.

Enzenhofer influences the development of the Compuware dynaTrace Application Performance Management Solution and the Web Performance Optimization Tool Compuware dynaTrace AJAX Edition.

He has several years of experience in the field of Web Performance Optimization and User Experience Management, much of the time spent developing and running large-scale web portals at Tiscover GmbH.

Compuware APM is a leading solution for optimizing the performance of web, non-web, mobile, streaming and cloud applications. Driven by end-user experience, Compuware APM provides the market's only unified APM coverage across the entire application delivery chain — from the edge of the internet through the cloud to the datacenter.

Compuware APM helps customers deliver proactive problem resolution for greater customer satisfaction, accelerate time-to-market for new application functionality and reduce application management costs through smarter analytics and advanced APM automation.

Related Links:

Read Enzenhofer's first blog on the Vendor Forum: 3 Seconds or Else: Survey Shows Mobile Performance May Make or Break Holiday Sales

Read Enzenhofer's article: Down Goes the Internet (Again) – Part One: Are You Ready?

Read Enzenhofer's article: 4 Strategies to Ensure Website Performance

The Latest

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 ...

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 ...