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Franken-Monitoring - A Case of Too Many Tools

Most Organizations Have 11 or more tools to Manage Application Performance
Kalyan Ramanathan

In a recent interview, an IT operations director told us, “We frankly have too many tools, and many of them weren’t performing to our expectations.”

If you are an enterprise ops leader managing complex applications, you can probably relate to that statement. At AppDynamics, we call this “Franken-monitoring,” a situation characterized by many, usually too many, siloed tools — for application, server, database, end-user client, etc. — that provide varying levels of disparate visibility into IT applications.

The challenges with this approach include:

■ Tools have minimal integration or common context, which makes it near impossible to manage the application or its business transactions.

■ Tools are designed for subject-matter experts, so it’s hard to provide value to the ops team as a whole.

■ Tools have high total cost of ownership, since every tool has to be independently procured, installed and managed, and staff have to be trained in their use.

2015 APM Tools Survey Finds That Tools Are Underutilized and Solving Performance Problems is Still a Massive Challenge

We commissioned analyst firm Enterprise Management Associates (EMA) to get to the bottom of this. In the 2015 APM Tools Survey, EMA found that a majority of surveyed enterprises have 11 or more commercial tools in their arsenal to manage application performance.

Nearly two-thirds of respondents report that it takes at least three hours to determine the root cause of performance issues; one-third report that it takes six or more hours to find the source of an issue.

EMA’s survey indicated that the lack of application-focused solutions appears to contribute to current IT challenges, with IT teams often trying to manage modern, complex applications with siloed tools and primarily manual processes. Just about every user of monitoring tools complains about the challenges of having too many tools without any situational awareness. Current approaches to integrate these tools with solutions like MoM (manager of managers) or CMDB (configuration management database) have for the most part failed, because it is hard to stitch together these disparate solutions from different vendors.

Gartner recently did a survey that pointed exactly to this challenge. The key reasons (besides price) for poor APM adoption were, indeed, the complexity of the tools and poor integration between tools.

Specifically, the EMA study found:

■ Siloed and shelved monitoring tools: 65 percent of the companies surveyed indicated that they own more than 10 different commercial monitoring products. Nearly half also indicated that 50 percent or fewer of their purchased tools are actively being used.

■ Manual resources expended on application support: According to respondents, calls from users are the second-most frequent way IT organizations find out about application-related problems (27 percent cited detection by monitoring centers; 25 percent cited user calls). Line staff, those closest to the problem, report a significantly higher incidence, citing user calls as their first “heads up” 35 percent of the time.

■ Extensive people-hours required to solve a single application problem: IT organizations surveyed indicated that, for those application-related problems escalated beyond Level 1 support, mean time to repair (MTTR) is most often between five and seven hours; in addition, between three and four people are typically required to solve a given problem.

“Based on our findings, the majority of companies are still trying to manage complex applications with a combination of siloed tools, ‘all hands on deck’ interactive marathons, and tribal knowledge,” said Julie Craig, Research Director, Application Management at EMA. “The ability to automatically discover and manage the business transaction topology as the application itself changes is a significant challenge encountered by virtually every IT organization.”

In addition to EMA’s finding that most companies have under-invested in application-specific management tools, the survey also found clear purchasing preferences regarding future APM purchases:

■ Almost 75 percent identified “flexible deployment options” (supporting SaaS, on-premises, and/or hybrid deployments) as either “critical or important” factors for purchasing an APM solution.

■ More than 70 percent identified the “ability to monitor infrastructure as a service (IaaS) public cloud” as either critical or important.

■ When asked about their top “must have” features for an APM product purchase, respondents selected the following:

#1 feature preference: An integrated monitoring platform consolidating application and infrastructure monitoring in one solution

#2 feature preference: Cloud-readiness features necessary to monitor/manage application components hosted in public cloud

#3 feature preference: Support for trending and reporting

The EMA study shows that very few IT organizations have an accurate, comprehensive view of today’s complex application environment, business transactions and their dependencies. Unified Monitoring is a new way to manage applications proactively, by tracing and monitoring transactions from the end user through the entire application and infrastructure environment to help quickly and proactively solve performance issues and ensure excellent user experience. Companies no longer need to waste valuable time and resources on a dozen different tools that will likely just collect dust on the shelf.

EMA Survey Methodology: AppDynamics commissioned EMA to conduct a survey in May 2015 of nearly 300 IT professionals from small, midsized and large companies across both North America and Europe. For the purposes of the study, respondents were filtered to include only those actively involved in enterprise application development/management/delivery at the executive, middle manager, or "hands on" line staff levels.

Kalyan Ramanathan is VP Marketing at AppDynamics.

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Franken-Monitoring - A Case of Too Many Tools

Most Organizations Have 11 or more tools to Manage Application Performance
Kalyan Ramanathan

In a recent interview, an IT operations director told us, “We frankly have too many tools, and many of them weren’t performing to our expectations.”

If you are an enterprise ops leader managing complex applications, you can probably relate to that statement. At AppDynamics, we call this “Franken-monitoring,” a situation characterized by many, usually too many, siloed tools — for application, server, database, end-user client, etc. — that provide varying levels of disparate visibility into IT applications.

The challenges with this approach include:

■ Tools have minimal integration or common context, which makes it near impossible to manage the application or its business transactions.

■ Tools are designed for subject-matter experts, so it’s hard to provide value to the ops team as a whole.

■ Tools have high total cost of ownership, since every tool has to be independently procured, installed and managed, and staff have to be trained in their use.

2015 APM Tools Survey Finds That Tools Are Underutilized and Solving Performance Problems is Still a Massive Challenge

We commissioned analyst firm Enterprise Management Associates (EMA) to get to the bottom of this. In the 2015 APM Tools Survey, EMA found that a majority of surveyed enterprises have 11 or more commercial tools in their arsenal to manage application performance.

Nearly two-thirds of respondents report that it takes at least three hours to determine the root cause of performance issues; one-third report that it takes six or more hours to find the source of an issue.

EMA’s survey indicated that the lack of application-focused solutions appears to contribute to current IT challenges, with IT teams often trying to manage modern, complex applications with siloed tools and primarily manual processes. Just about every user of monitoring tools complains about the challenges of having too many tools without any situational awareness. Current approaches to integrate these tools with solutions like MoM (manager of managers) or CMDB (configuration management database) have for the most part failed, because it is hard to stitch together these disparate solutions from different vendors.

Gartner recently did a survey that pointed exactly to this challenge. The key reasons (besides price) for poor APM adoption were, indeed, the complexity of the tools and poor integration between tools.

Specifically, the EMA study found:

■ Siloed and shelved monitoring tools: 65 percent of the companies surveyed indicated that they own more than 10 different commercial monitoring products. Nearly half also indicated that 50 percent or fewer of their purchased tools are actively being used.

■ Manual resources expended on application support: According to respondents, calls from users are the second-most frequent way IT organizations find out about application-related problems (27 percent cited detection by monitoring centers; 25 percent cited user calls). Line staff, those closest to the problem, report a significantly higher incidence, citing user calls as their first “heads up” 35 percent of the time.

■ Extensive people-hours required to solve a single application problem: IT organizations surveyed indicated that, for those application-related problems escalated beyond Level 1 support, mean time to repair (MTTR) is most often between five and seven hours; in addition, between three and four people are typically required to solve a given problem.

“Based on our findings, the majority of companies are still trying to manage complex applications with a combination of siloed tools, ‘all hands on deck’ interactive marathons, and tribal knowledge,” said Julie Craig, Research Director, Application Management at EMA. “The ability to automatically discover and manage the business transaction topology as the application itself changes is a significant challenge encountered by virtually every IT organization.”

In addition to EMA’s finding that most companies have under-invested in application-specific management tools, the survey also found clear purchasing preferences regarding future APM purchases:

■ Almost 75 percent identified “flexible deployment options” (supporting SaaS, on-premises, and/or hybrid deployments) as either “critical or important” factors for purchasing an APM solution.

■ More than 70 percent identified the “ability to monitor infrastructure as a service (IaaS) public cloud” as either critical or important.

■ When asked about their top “must have” features for an APM product purchase, respondents selected the following:

#1 feature preference: An integrated monitoring platform consolidating application and infrastructure monitoring in one solution

#2 feature preference: Cloud-readiness features necessary to monitor/manage application components hosted in public cloud

#3 feature preference: Support for trending and reporting

The EMA study shows that very few IT organizations have an accurate, comprehensive view of today’s complex application environment, business transactions and their dependencies. Unified Monitoring is a new way to manage applications proactively, by tracing and monitoring transactions from the end user through the entire application and infrastructure environment to help quickly and proactively solve performance issues and ensure excellent user experience. Companies no longer need to waste valuable time and resources on a dozen different tools that will likely just collect dust on the shelf.

EMA Survey Methodology: AppDynamics commissioned EMA to conduct a survey in May 2015 of nearly 300 IT professionals from small, midsized and large companies across both North America and Europe. For the purposes of the study, respondents were filtered to include only those actively involved in enterprise application development/management/delivery at the executive, middle manager, or "hands on" line staff levels.

Kalyan Ramanathan is VP Marketing at AppDynamics.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

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