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Finding Your Organization’s Blind Spots

Steve Tack

How a Lifecycle Approach to APM Improves User Experience, Business Transaction Performance and Ultimately Revenues

Imagine it's Black Friday, when all of the sudden … boom! Your most critical Web application goes awry, bringing your e-commerce operation to a screeching halt on the very day flawless performance is needed most.

According to industry research cited in a Quocirca report titled “2012: The Year of Application Performance Management (APM)” a two second slowdown in response time is estimated to equal about four percent of revenue loss per visitor to an e-commerce site. So your organization probably doesn't have a lot of time to scramble to find out what is going wrong. You need to find answers – actionable information – and you need it fast.

The challenge to expeditious resolution is cutting through the vast amount of complexity that organizations are faced with today. First, there's the complexity involved in modern application delivery which is growing immensely. With applications increasingly pulling content from third-party services, and the advent of external infrastructures like the cloud, there are so many blind spots in the application delivery chain. Pinpointing the precise cause of application performance degradations can be tremendously difficult.

Second, there's the complexity that exists within organizations themselves, with so many stakeholders in application performance including developers, testers (QA), operations and line of business executives. Often, these groups are all speaking different business “languages” and concerned with different business goals.

For instance, developers speak in terms of debugging application code and don't want anything to impede their progress as they swiftly push out new products and enhancements. Operations, who wants to keep things as reliable and stable as possible, is quick to say “I told you so” whenever a problem arises. For their part, line of business speaks in numbers and they just want to know how conversions and revenues are being impacted – and when the bloodletting will stop!

This is a big mess which often results in a lot of wasted time, lack of meaningful communication and finger-pointing. One thing's for sure, “speed matters” – both in terms of actual application speed, as well as the speed at which performance problems are found, prioritized, addressed and fixed. Organizations desperately need a way to simplify all this complexity.

By now, you've more than likely heard the term DevOps, which entails bringing together developers and operations – both the pre-production and the production sides of the house. The goal is to aid in the release process, satisfying developers' requirements for speed while addressing operations' needs for stability. A key cornerstone of the DevOps movement is to commit to ongoing performance management and testing at all stages of an application lifecycle, from the earliest stages of development, to prevent problems from reaching production.

We at Compuware like to call this a lifecycle approach to performance management, since this term extends to include line of business executives. In order to successfully achieve a lifecycle approach, the proper type of APM system must be in place. First and foremost, this system must understand, from the user perspective, how applications and websites are performing. Achieving this level of insight requires monitoring of applications to go beyond the data center and start with the user perspective.

In addition, the proper type of APM system must:

- Deliver an integrated environment across stakeholders, to eliminate time spent correlating between different tools and to enable a common language of understanding. What applications are performing poorly? Why and whose problem is it? What's the impact on conversions?

- Provide automated, continuous visibility into what's going on – user behaviors, business transactions, conversion rates, etc.

- Offer actionable information for various stakeholders.

- Be application-centric as opposed to component-centric, which doesn't offer an overall view into how vital applications are performing. Additionally, be business aware, connecting IT to line of business by showing, for example, how IT is impacting the end- user experience and revenue.

In summary, it's important to remember that even the supposedly best application is never complete. Gartner estimates that only eight percent of an application's total cost of ownership (TCO) can be attributed to building, while the other 92 percent goes to ongoing enhancements, fixes and optimizationsi. A lifecycle approach to performance management, based on the right kind of APM solution, can help organizations navigate the vast complexity, ensure the strongest performing applications and make the best decisions that drive the user experience and revenues.

Steve Tack is VP of Product Management, Compuware APM.

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Finding Your Organization’s Blind Spots

Steve Tack

How a Lifecycle Approach to APM Improves User Experience, Business Transaction Performance and Ultimately Revenues

Imagine it's Black Friday, when all of the sudden … boom! Your most critical Web application goes awry, bringing your e-commerce operation to a screeching halt on the very day flawless performance is needed most.

According to industry research cited in a Quocirca report titled “2012: The Year of Application Performance Management (APM)” a two second slowdown in response time is estimated to equal about four percent of revenue loss per visitor to an e-commerce site. So your organization probably doesn't have a lot of time to scramble to find out what is going wrong. You need to find answers – actionable information – and you need it fast.

The challenge to expeditious resolution is cutting through the vast amount of complexity that organizations are faced with today. First, there's the complexity involved in modern application delivery which is growing immensely. With applications increasingly pulling content from third-party services, and the advent of external infrastructures like the cloud, there are so many blind spots in the application delivery chain. Pinpointing the precise cause of application performance degradations can be tremendously difficult.

Second, there's the complexity that exists within organizations themselves, with so many stakeholders in application performance including developers, testers (QA), operations and line of business executives. Often, these groups are all speaking different business “languages” and concerned with different business goals.

For instance, developers speak in terms of debugging application code and don't want anything to impede their progress as they swiftly push out new products and enhancements. Operations, who wants to keep things as reliable and stable as possible, is quick to say “I told you so” whenever a problem arises. For their part, line of business speaks in numbers and they just want to know how conversions and revenues are being impacted – and when the bloodletting will stop!

This is a big mess which often results in a lot of wasted time, lack of meaningful communication and finger-pointing. One thing's for sure, “speed matters” – both in terms of actual application speed, as well as the speed at which performance problems are found, prioritized, addressed and fixed. Organizations desperately need a way to simplify all this complexity.

By now, you've more than likely heard the term DevOps, which entails bringing together developers and operations – both the pre-production and the production sides of the house. The goal is to aid in the release process, satisfying developers' requirements for speed while addressing operations' needs for stability. A key cornerstone of the DevOps movement is to commit to ongoing performance management and testing at all stages of an application lifecycle, from the earliest stages of development, to prevent problems from reaching production.

We at Compuware like to call this a lifecycle approach to performance management, since this term extends to include line of business executives. In order to successfully achieve a lifecycle approach, the proper type of APM system must be in place. First and foremost, this system must understand, from the user perspective, how applications and websites are performing. Achieving this level of insight requires monitoring of applications to go beyond the data center and start with the user perspective.

In addition, the proper type of APM system must:

- Deliver an integrated environment across stakeholders, to eliminate time spent correlating between different tools and to enable a common language of understanding. What applications are performing poorly? Why and whose problem is it? What's the impact on conversions?

- Provide automated, continuous visibility into what's going on – user behaviors, business transactions, conversion rates, etc.

- Offer actionable information for various stakeholders.

- Be application-centric as opposed to component-centric, which doesn't offer an overall view into how vital applications are performing. Additionally, be business aware, connecting IT to line of business by showing, for example, how IT is impacting the end- user experience and revenue.

In summary, it's important to remember that even the supposedly best application is never complete. Gartner estimates that only eight percent of an application's total cost of ownership (TCO) can be attributed to building, while the other 92 percent goes to ongoing enhancements, fixes and optimizationsi. A lifecycle approach to performance management, based on the right kind of APM solution, can help organizations navigate the vast complexity, ensure the strongest performing applications and make the best decisions that drive the user experience and revenues.

Steve Tack is VP of Product Management, Compuware APM.

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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 ...

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 ...