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What is BSM Anyway?

The Unique Relationship Between APM, Infrastructure and the End-User Experience

Defining BSM has always been a challenge. Many tool vendors have their own definitions of BSM, or use other terms such as ITSM, BTM or APM instead of BSM. At BSMdigest, we are not too strict about the semantics – we like to focus on the BSM concept, which includes all of these technologies.

In 2006 I wrote an article for BSMdigest – which I have included in this issue – stating that end-user monitoring was a key to BSM. It was easy to make that pronouncement, but the BSM technology did not live up to that expectation at the time. Today, I think there may be an answer: The new generation of Application Performance Monitoring (APM) solutions.

In the past, BSM has depended mostly on infrastructure monitoring. The new generation of APM tools not only look at performance from the inside, such as resource utilization, but also from the outside, from the end-user perspective.

“One of the biggest complaints the market has about BSM is that it does not reflect the end-user experience,” explains Berkay Mollamustafaoglu, Product Strategy Manager, Netuitive, Inc. “Everything may look fine according to your infrastructure monitoring tools, but the application could still be slow, the user could still be experiencing a performance problem.”

Agents on the user's desktop and transaction management are two effective components of APM that enable you to gain new visibility into the user's perspective and manage response times. Desktop agents are the most clear cut way to visualize the end-user experience but obviously it is not always possible to deploy an agent on every user's desktop. Business Transaction Management (BTM) provides reliable insight into the end-user experience, however, by monitoring the performance of all the components involved in completing a transaction.

“But once you have identified an issue with the user experience, you still have to find a way to determine the root cause and resolve the problem via infrastructure monitoring tools,” Berkay continues. “We are starting to see large enterprises using advanced self-learning analytics as a way to show context between dynamic virtual infrastructure performance and end-user experience data being generated by APM tools to deliver on the vision of Business Service Management.”

“In cloud and virtual environments it becomes even more important to have both infrastructure monitoring and end-user monitoring, to be able to do true capacity management,” he adds. “You have to optimize your resource allocation so that you can maintain fast response times. APM allows you to see the response times, and see where you can optimize the infrastructure to maintain acceptable response times, by adding servers, memory or CPU. You need these new tools to support new paradigms in the virtual world. Seeing the state of the business service is not the end goal.”

With the emergence of a new breed of APM tools and the migration to virtual and cloud environments, BSM is at a crossroads. This is probably a good time to officially evolve our definition of BSM to include APM, BTM, self-learning analytics and, most importantly, the end-user experience.

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What is BSM Anyway?

The Unique Relationship Between APM, Infrastructure and the End-User Experience

Defining BSM has always been a challenge. Many tool vendors have their own definitions of BSM, or use other terms such as ITSM, BTM or APM instead of BSM. At BSMdigest, we are not too strict about the semantics – we like to focus on the BSM concept, which includes all of these technologies.

In 2006 I wrote an article for BSMdigest – which I have included in this issue – stating that end-user monitoring was a key to BSM. It was easy to make that pronouncement, but the BSM technology did not live up to that expectation at the time. Today, I think there may be an answer: The new generation of Application Performance Monitoring (APM) solutions.

In the past, BSM has depended mostly on infrastructure monitoring. The new generation of APM tools not only look at performance from the inside, such as resource utilization, but also from the outside, from the end-user perspective.

“One of the biggest complaints the market has about BSM is that it does not reflect the end-user experience,” explains Berkay Mollamustafaoglu, Product Strategy Manager, Netuitive, Inc. “Everything may look fine according to your infrastructure monitoring tools, but the application could still be slow, the user could still be experiencing a performance problem.”

Agents on the user's desktop and transaction management are two effective components of APM that enable you to gain new visibility into the user's perspective and manage response times. Desktop agents are the most clear cut way to visualize the end-user experience but obviously it is not always possible to deploy an agent on every user's desktop. Business Transaction Management (BTM) provides reliable insight into the end-user experience, however, by monitoring the performance of all the components involved in completing a transaction.

“But once you have identified an issue with the user experience, you still have to find a way to determine the root cause and resolve the problem via infrastructure monitoring tools,” Berkay continues. “We are starting to see large enterprises using advanced self-learning analytics as a way to show context between dynamic virtual infrastructure performance and end-user experience data being generated by APM tools to deliver on the vision of Business Service Management.”

“In cloud and virtual environments it becomes even more important to have both infrastructure monitoring and end-user monitoring, to be able to do true capacity management,” he adds. “You have to optimize your resource allocation so that you can maintain fast response times. APM allows you to see the response times, and see where you can optimize the infrastructure to maintain acceptable response times, by adding servers, memory or CPU. You need these new tools to support new paradigms in the virtual world. Seeing the state of the business service is not the end goal.”

With the emergence of a new breed of APM tools and the migration to virtual and cloud environments, BSM is at a crossroads. This is probably a good time to officially evolve our definition of BSM to include APM, BTM, self-learning analytics and, most importantly, the end-user experience.

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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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...