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Slow Applications Are Criminal

Larry Dragich

In the world of Application Performance Management (APM) it is always better to enlist more than one entity to help solve the mystery of performance problems.

It's kind of like arriving at the scene of the crime on foreign soil, being blindfolded, shoved out the door, and then asked to help solve the injustice without any insight. All you can do is begin by asking people in the vicinity, providing you speak their language, for information on what they have seen (i.e. end-user-experience).

Gathering facts related to a crime is essential, and can be likened to utilizing an APM solution for solving application performance problems. The more information about an application’s behavior that you can obtain, along with understanding its idiosyncrasies within the environment, the more likely you will be able to pinpoint root causes of performance issues.

The Three People You Need

Wouldn't it be helpful if there was an eye witness you could interview, a watchman who was on duty during the time of the incident, and an agent you could hire to translate the native tongue and provide insight into the culture?

In much the same way, a smart APM strategy enlists the help from these three entities: the Witness, the Watchman, and the Agent. You start by listening to the testimony from the eye witness (aka. wire data), collecting the observations from the watchman (aka. web robots), and analyzing details from the agent (aka. code level instrumentation).

The Witness

Passive monitoring, wire-data analytics

The Witness reports what they see within their field of vision, (aka. passive monitoring, wire-data analytics). The Witness is watching everything in their purview and sees things as they happen, which corresponds to what is coming across "the wire" in front of them.

The Witness will tell you how many people were involved, if anyone was injured, and what time the event occurred, (e.g. user names, packet loss, timelines, etc.). She can tell you what doors the people went through, how wide the aisles were, and how fast people were traveling, (e.g. network port listeners, realized bandwidth, round-trip-time, etc.).

The Watchman

Active monitoring - synthetic transactions

The Watchman (aka. web robot) is actively checking and is always on patrol, methodically taking the same path every time. He will tell you what doors are locked and monitor the ones that are open, collecting measurements along the way on how long it takes to complete his rounds, (i.e. synthetic transactions).

The Watchman will report the status of the rooms and buildings on his patrol and will note if anything happens to him along the way, (e.g. application availability, transaction errors, timeouts, etc.).

The Agent

Application code instrumentation

The Agent you hire is critical for solving the crime within the territory you're operating in. The Agent will watch activity from specific vantage points throughout the environment and report back his findings. It's crucial he speaks the local language, (e.g. Java, .Net, PHP) and can easily translate for you.

His approach will be to deploy probes on rooftops and inside the buildings for monitoring all conversations and actions in the environment, (aka. application code instrumentation). He will also tap the communication systems, (i.e. script injection) when appropriate and capture specific measurements from each conversation and record them.   

Going from Red to Green

Identifying an application that has gone catatonic is one thing, but assessing the insidious slow performance of a complex multi-tiered application and fixing it, can be very time consuming and costly. Enlisting all three entities described above to assist is a thoughtful strategy for any IT Leader to consider.

Based on eye witness testimony, the forensics collected, and the conversations recorded, you will be well on your way to providing an accurate account of what has transpired and why, (i.e. root cause analysis).

Conclusion

Remember, the end-user is the supreme judge in this case and if performance is chronically slow, your sentence could be harsh. Either directly by inundating you with complaints creating bad press or indirectly by abandoning your site in favor of one that is much faster and more intuitive to use.

Embracing a smart but simple APM Methodology within your environment may be the only thing that exonerates you when the verdict for your slow application is "guilty as charged."

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Slow Applications Are Criminal

Larry Dragich

In the world of Application Performance Management (APM) it is always better to enlist more than one entity to help solve the mystery of performance problems.

It's kind of like arriving at the scene of the crime on foreign soil, being blindfolded, shoved out the door, and then asked to help solve the injustice without any insight. All you can do is begin by asking people in the vicinity, providing you speak their language, for information on what they have seen (i.e. end-user-experience).

Gathering facts related to a crime is essential, and can be likened to utilizing an APM solution for solving application performance problems. The more information about an application’s behavior that you can obtain, along with understanding its idiosyncrasies within the environment, the more likely you will be able to pinpoint root causes of performance issues.

The Three People You Need

Wouldn't it be helpful if there was an eye witness you could interview, a watchman who was on duty during the time of the incident, and an agent you could hire to translate the native tongue and provide insight into the culture?

In much the same way, a smart APM strategy enlists the help from these three entities: the Witness, the Watchman, and the Agent. You start by listening to the testimony from the eye witness (aka. wire data), collecting the observations from the watchman (aka. web robots), and analyzing details from the agent (aka. code level instrumentation).

The Witness

Passive monitoring, wire-data analytics

The Witness reports what they see within their field of vision, (aka. passive monitoring, wire-data analytics). The Witness is watching everything in their purview and sees things as they happen, which corresponds to what is coming across "the wire" in front of them.

The Witness will tell you how many people were involved, if anyone was injured, and what time the event occurred, (e.g. user names, packet loss, timelines, etc.). She can tell you what doors the people went through, how wide the aisles were, and how fast people were traveling, (e.g. network port listeners, realized bandwidth, round-trip-time, etc.).

The Watchman

Active monitoring - synthetic transactions

The Watchman (aka. web robot) is actively checking and is always on patrol, methodically taking the same path every time. He will tell you what doors are locked and monitor the ones that are open, collecting measurements along the way on how long it takes to complete his rounds, (i.e. synthetic transactions).

The Watchman will report the status of the rooms and buildings on his patrol and will note if anything happens to him along the way, (e.g. application availability, transaction errors, timeouts, etc.).

The Agent

Application code instrumentation

The Agent you hire is critical for solving the crime within the territory you're operating in. The Agent will watch activity from specific vantage points throughout the environment and report back his findings. It's crucial he speaks the local language, (e.g. Java, .Net, PHP) and can easily translate for you.

His approach will be to deploy probes on rooftops and inside the buildings for monitoring all conversations and actions in the environment, (aka. application code instrumentation). He will also tap the communication systems, (i.e. script injection) when appropriate and capture specific measurements from each conversation and record them.   

Going from Red to Green

Identifying an application that has gone catatonic is one thing, but assessing the insidious slow performance of a complex multi-tiered application and fixing it, can be very time consuming and costly. Enlisting all three entities described above to assist is a thoughtful strategy for any IT Leader to consider.

Based on eye witness testimony, the forensics collected, and the conversations recorded, you will be well on your way to providing an accurate account of what has transpired and why, (i.e. root cause analysis).

Conclusion

Remember, the end-user is the supreme judge in this case and if performance is chronically slow, your sentence could be harsh. Either directly by inundating you with complaints creating bad press or indirectly by abandoning your site in favor of one that is much faster and more intuitive to use.

Embracing a smart but simple APM Methodology within your environment may be the only thing that exonerates you when the verdict for your slow application is "guilty as charged."

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 ...