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APM Evolution: Business Service Performance

Bob Johnson

Application Performance Management (APM) technologies have evolved quickly over the past few years and, will no doubt, continue to accelerate during the coming years. One key area which APM vendors have to recognize is a current weakness that must be quickly addressed is that the compelling business driver is not just ensuring the health, availability, and performance of "applications" but the business services which they support.

The business service can be defined as one or more applications which provide a discrete service assessable by a user (internal or external) or a another application PLUS the underlying service delivery infrastructure. The latter presents the gap when it comes to the focus of the majority of current APM vendors. While an application(s) may be performing well, the business service may be unavailable due to blade failure on a database server (for example).

The dependency between Application Performance and Business Service Performance must include a view into the health of the entire "full stack." Most APM vendors have obviously approached the "problem" from the perspective of the application. Indeed, some APM vendors are optimized for Java environments, others specialize in .Net environments, still some are focused on enterprise COTS packages, such as SAP or Siebel. With such a wide array of diversity in the "application" realm, it's little wonder why most APM vendors have heretofore neglected the supporting service delivery infrastructure.

IT organizations are demanding a full stack, business service-oriented solution. The first vendors that get there with a complete story (and, more importantly, a complete set of capabilities) will be favored to win the long-term APM vendor race.

Bob Johnson is CMO of Optanix.

Hot Topics

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 ...

APM Evolution: Business Service Performance

Bob Johnson

Application Performance Management (APM) technologies have evolved quickly over the past few years and, will no doubt, continue to accelerate during the coming years. One key area which APM vendors have to recognize is a current weakness that must be quickly addressed is that the compelling business driver is not just ensuring the health, availability, and performance of "applications" but the business services which they support.

The business service can be defined as one or more applications which provide a discrete service assessable by a user (internal or external) or a another application PLUS the underlying service delivery infrastructure. The latter presents the gap when it comes to the focus of the majority of current APM vendors. While an application(s) may be performing well, the business service may be unavailable due to blade failure on a database server (for example).

The dependency between Application Performance and Business Service Performance must include a view into the health of the entire "full stack." Most APM vendors have obviously approached the "problem" from the perspective of the application. Indeed, some APM vendors are optimized for Java environments, others specialize in .Net environments, still some are focused on enterprise COTS packages, such as SAP or Siebel. With such a wide array of diversity in the "application" realm, it's little wonder why most APM vendors have heretofore neglected the supporting service delivery infrastructure.

IT organizations are demanding a full stack, business service-oriented solution. The first vendors that get there with a complete story (and, more importantly, a complete set of capabilities) will be favored to win the long-term APM vendor race.

Bob Johnson is CMO of Optanix.

Hot Topics

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 ...