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Resource Monitoring vs. Application Performance Monitoring (APM)

How Middleware Resource Monitoring is Different from APM
Ted Wilson

Is middleware resource monitoring the same thing as APM? No – but it is highly complementary with APM and organizations generally need both for complex, large-scale application environments that depend on middleware.

End to end resource monitoring is fundamentally different.


We see four general categories in the enterprise monitoring landscape:

1. Low level infrastructure monitoring, often open source or low-cost

2. Domain-specific admin and monitoring tools including database, server, log, and vendor-specific tools

3. Application-aware resource monitoring of infrastructure

4. APM, including transaction tracing and end-user monitoring

APM, and especially transaction monitoring, has its place. It is an important capability for some types of users such as developers who need to understand the behavior of their transactions and how they are performing. It is also very good at identifying code-based problems. If your problems are in the code, then APM can help. But what if the problem is not in the application itself but the infrastructure that supports that application? Most application performance issues are not code-based problems.

Oftentimes, the problems lie in the middleware tiers, servers and other resources. These are equally as important to monitor.

The Complexity of Middleware

Middleware components are usually distributed, clustered and shared across multiple services and applications. Many organizations use middleware provided by multiple vendors across multiple tiers, on-premise, in the cloud, or hybrid. And a single middleware technology, such as TIBCO EMS, requires real-time and historical metric gathering for the EMS Servers, topics, queues, and destinations to really understand performance. An effective monitoring system will also provide information about other interdependencies. Is a problem with pending messages really occurring because of a CPU issue with a VMware host?

This all makes holistic monitoring tricky. So when an application problem lies in a middleware tier, your application support and middleware support teams require specialized tools to proactively identify the problem before the application is affected. If they are relying on end user or transaction monitoring for this type of problem, chances are the middleware components are going to be a black box. APM tools just don’t provide adequate visibility into the middleware.

So before you increase spending on APM tools, be sure you have the middleware tier covered and those support teams have the tools they need to be proactive in resolving the infrastructure level problems.

Ask yourself how you solve the majority of your Sev 1 incidents today. Are you using tools that help you understand the performance of your clustered middleware? Or are you using tools that help you understand your transactions and transaction throughput? The answer may help you in prioritizing your monitoring investments.


Ted Wilson is Chief Operating Officer at SL Corporation.

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Resource Monitoring vs. Application Performance Monitoring (APM)

How Middleware Resource Monitoring is Different from APM
Ted Wilson

Is middleware resource monitoring the same thing as APM? No – but it is highly complementary with APM and organizations generally need both for complex, large-scale application environments that depend on middleware.

End to end resource monitoring is fundamentally different.


We see four general categories in the enterprise monitoring landscape:

1. Low level infrastructure monitoring, often open source or low-cost

2. Domain-specific admin and monitoring tools including database, server, log, and vendor-specific tools

3. Application-aware resource monitoring of infrastructure

4. APM, including transaction tracing and end-user monitoring

APM, and especially transaction monitoring, has its place. It is an important capability for some types of users such as developers who need to understand the behavior of their transactions and how they are performing. It is also very good at identifying code-based problems. If your problems are in the code, then APM can help. But what if the problem is not in the application itself but the infrastructure that supports that application? Most application performance issues are not code-based problems.

Oftentimes, the problems lie in the middleware tiers, servers and other resources. These are equally as important to monitor.

The Complexity of Middleware

Middleware components are usually distributed, clustered and shared across multiple services and applications. Many organizations use middleware provided by multiple vendors across multiple tiers, on-premise, in the cloud, or hybrid. And a single middleware technology, such as TIBCO EMS, requires real-time and historical metric gathering for the EMS Servers, topics, queues, and destinations to really understand performance. An effective monitoring system will also provide information about other interdependencies. Is a problem with pending messages really occurring because of a CPU issue with a VMware host?

This all makes holistic monitoring tricky. So when an application problem lies in a middleware tier, your application support and middleware support teams require specialized tools to proactively identify the problem before the application is affected. If they are relying on end user or transaction monitoring for this type of problem, chances are the middleware components are going to be a black box. APM tools just don’t provide adequate visibility into the middleware.

So before you increase spending on APM tools, be sure you have the middleware tier covered and those support teams have the tools they need to be proactive in resolving the infrastructure level problems.

Ask yourself how you solve the majority of your Sev 1 incidents today. Are you using tools that help you understand the performance of your clustered middleware? Or are you using tools that help you understand your transactions and transaction throughput? The answer may help you in prioritizing your monitoring investments.


Ted Wilson is Chief Operating Officer at SL Corporation.

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 ...

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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 ...

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