Skip to main content

20 Technologies to Support APM - Part 2

APMdigest continues the list, cataloging the many valuable tools available – beyond what is technically categorized as Application Performance Management (APM) – to support the goals of improving application performance and business service.

Start with Part 1

6. Synthetic Monitoring

Understanding Web and mobile app performance starts with the end-user experience, no matter how and when a customer accesses the application. And while today's IT departments are facing enormous pressure to deliver a flawless end-user experience, they must also drive down costs. These competing forces create a compelling case for adding a synthetic-transaction SaaS solution to the APM mix. IT pros responsible for application performance can understand the health and availability of key applications, and track global and local end-user experience, with a cost-effective, easy-to-use and fast-to-implement solution.
Aruna Ravichandran
VP Product and Solution Marketing, APM and DevOps, CA Technologies

Active, or synthetic, monitoring of applications, services, and websites 24/7 is an essential component of an enterprise-wide APM strategy. It ensures that online properties are fast and reliable for end users, helping to protect brand image and drive revenue. While passive monitoring provides a view into end user experience, it cannot detect downtime or get a full picture of what end users see outside of your datacenter(s) or cloud.
Mehdi Daoudi
CEO and Founder, Catchpoint

7. Infrastructure Monitoring

While APM solutions and corresponding strategy is critical for modern enterprises it's essential to also adopt an appropriate infrastructure monitoring solution. Applications sit on top of increasingly complex infrastructure workloads (server, network, storage) brought about by innovations in areas cloud architecture, mobile and non-relational data stores. This means that a unified infrastructure monitoring solution that is able to cover these areas is an essential component of a strategic monitoring strategy.
John Rakowski
Analyst, Infrastructure and Operations, Forrester Research

While APM provides great insight into service delivery from a user perspective, it alone isn't sufficient to properly identify and resolve performance or availability issues pertaining to the back-end infrastructure. Service-centric unified monitoring tools are the key to ensuring the health of applications and all the infrastructure components needed for consistent and reliable delivery of the service.
Deepak Kanwar
Senior Manager, Zenoss

8. Load Testing

APM is a cornerstone of delivering a quality user experience. To supplement the 360 degree view of your APM solution it is important to also implement and obtain correlation between your APM and Load Testing solutions. This combination provides a clear perspective of your application and your application environment, allowing you to use load to help predict application performance prior to seeing real life behavior through your APM solution.
Denis Goodwin
Director of Product Management, AlertSite by SmartBear

Among the thousands of product reviews by real users on IT Central Station – aka the "Yelp for IT" – we find numerous cross-references between APM and testing tools. Our community of IT professionals evidently find that investment in testing tools is complimentary to APM.
Russell Rothstein
Founder and CEO, IT Central Station

9. Log Management

While APM tools are definitely widely used for a view into how your own application code is performing, in many cases APM alone is not enough to give an end-to-end perspective of your system - especially in cloud environments where you no longer have the same level of access and it can be more difficult to apply instrumentation. We are seeing a huge increase in users sending more and more performance metrics into their log data – giving them the ability to use "logs as data" along side their APM tools, and providing deeper log-level insights into key business metrics.
Trevor Parsons, Phd
Co-founder & Chief Scientist, Logentries

Combining unified monitoring with log analysis provides faster trouble-shooting, improved root cause analysis, and more effective IT event correlation and forensic analysis.
David Dennis
VP of Marketing & Business Development, GroundWork

10. Middleware Management

Middleware Infrastructure Visibility is a necessity for application and business service performance. Enterprise applications are inherently complex and built on a combination of technologies including middleware systems (e.g., WebSphere MQ, IBM Data Power, TIBCO, and Oracle BPEL), packaged applications, and other legacy technologies. Middleware, in particular, serves as the plumbing connecting a multitude of heterogeneous systems. In this way, middleware management complements traditional APM offerings because it provides deep visibility into the infrastructure these applications depend on to deliver data and business services.
April Hickel
Product Manager, APM, BMC Software

20 Technologies to Support APM - Part 3

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

20 Technologies to Support APM - Part 2

APMdigest continues the list, cataloging the many valuable tools available – beyond what is technically categorized as Application Performance Management (APM) – to support the goals of improving application performance and business service.

Start with Part 1

6. Synthetic Monitoring

Understanding Web and mobile app performance starts with the end-user experience, no matter how and when a customer accesses the application. And while today's IT departments are facing enormous pressure to deliver a flawless end-user experience, they must also drive down costs. These competing forces create a compelling case for adding a synthetic-transaction SaaS solution to the APM mix. IT pros responsible for application performance can understand the health and availability of key applications, and track global and local end-user experience, with a cost-effective, easy-to-use and fast-to-implement solution.
Aruna Ravichandran
VP Product and Solution Marketing, APM and DevOps, CA Technologies

Active, or synthetic, monitoring of applications, services, and websites 24/7 is an essential component of an enterprise-wide APM strategy. It ensures that online properties are fast and reliable for end users, helping to protect brand image and drive revenue. While passive monitoring provides a view into end user experience, it cannot detect downtime or get a full picture of what end users see outside of your datacenter(s) or cloud.
Mehdi Daoudi
CEO and Founder, Catchpoint

7. Infrastructure Monitoring

While APM solutions and corresponding strategy is critical for modern enterprises it's essential to also adopt an appropriate infrastructure monitoring solution. Applications sit on top of increasingly complex infrastructure workloads (server, network, storage) brought about by innovations in areas cloud architecture, mobile and non-relational data stores. This means that a unified infrastructure monitoring solution that is able to cover these areas is an essential component of a strategic monitoring strategy.
John Rakowski
Analyst, Infrastructure and Operations, Forrester Research

While APM provides great insight into service delivery from a user perspective, it alone isn't sufficient to properly identify and resolve performance or availability issues pertaining to the back-end infrastructure. Service-centric unified monitoring tools are the key to ensuring the health of applications and all the infrastructure components needed for consistent and reliable delivery of the service.
Deepak Kanwar
Senior Manager, Zenoss

8. Load Testing

APM is a cornerstone of delivering a quality user experience. To supplement the 360 degree view of your APM solution it is important to also implement and obtain correlation between your APM and Load Testing solutions. This combination provides a clear perspective of your application and your application environment, allowing you to use load to help predict application performance prior to seeing real life behavior through your APM solution.
Denis Goodwin
Director of Product Management, AlertSite by SmartBear

Among the thousands of product reviews by real users on IT Central Station – aka the "Yelp for IT" – we find numerous cross-references between APM and testing tools. Our community of IT professionals evidently find that investment in testing tools is complimentary to APM.
Russell Rothstein
Founder and CEO, IT Central Station

9. Log Management

While APM tools are definitely widely used for a view into how your own application code is performing, in many cases APM alone is not enough to give an end-to-end perspective of your system - especially in cloud environments where you no longer have the same level of access and it can be more difficult to apply instrumentation. We are seeing a huge increase in users sending more and more performance metrics into their log data – giving them the ability to use "logs as data" along side their APM tools, and providing deeper log-level insights into key business metrics.
Trevor Parsons, Phd
Co-founder & Chief Scientist, Logentries

Combining unified monitoring with log analysis provides faster trouble-shooting, improved root cause analysis, and more effective IT event correlation and forensic analysis.
David Dennis
VP of Marketing & Business Development, GroundWork

10. Middleware Management

Middleware Infrastructure Visibility is a necessity for application and business service performance. Enterprise applications are inherently complex and built on a combination of technologies including middleware systems (e.g., WebSphere MQ, IBM Data Power, TIBCO, and Oracle BPEL), packaged applications, and other legacy technologies. Middleware, in particular, serves as the plumbing connecting a multitude of heterogeneous systems. In this way, middleware management complements traditional APM offerings because it provides deep visibility into the infrastructure these applications depend on to deliver data and business services.
April Hickel
Product Manager, APM, BMC Software

20 Technologies to Support APM - Part 3

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...