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APM and Viewpoints - Part 2

Terry Critchley

An important aspect of performance (and other) monitoring is where the observer stands when looking at the IT scenario. Each participant has a different view of what is bad performance - network, database, web, system, user personnel, management and external people - customers, regulatory bodies etc. These are what I call viewpoints, a popular concept in IT architecture design methods.

Start with APM and Viewpoints - Part 1

Operations Viewpoint

Operations people, but not the business user and others, will be desperately interested in:

■ % Utilizations

■ Wait times

■ Disk space used

■ Disk I/O Throughput

■ Disk I/O response time

■ Memory % used

■ Page rate

■ etc. etc.

End User Viewpoint

The previous factors are meaningless to the user of the application, who is more interested in:

■ Response times ( which depends on overall latency, percentiles, variations but they are not interested in that detail)

■ Variability of that response; large variations equal poor productivity via irritation and loss of concentration

■ Throughput of work where applicable

■ Availability

■ Other "speed" factors relating to their work

Business Manager Viewpoint

This viewpoint might reflect that of the end user is some respects, but will often be even more general:

■ What is the time between receipt of an order, shipment, invoicing and reconciliation?

■ Is the customer satisfied with this?

■ Can we speed up the processes without excessive cost?

■ Other business aspects

There are other people who will have different requirements and perspectives of performance: service desk, external customers, especially website users, and possibly regulatory bodies. They are important and in performance life, one size does not fit all.

The Outcome

When considering performance management, which is more than simply monitoring, the differing requirements (viewpoints) of various stakeholders needs to be taken into account. It is often difficult to retrofit analysis of performance data to cater for people not considered at the design stage. You may be asked by the CEO, out of the blue: "Why do we take 2 days to issue an invoice after shipment while competitor X takes one?"

Role of the SLA

Whose level of service (quality of service, QoS) are we talking about? Basically, all the types of person outlined above. This (rather these) QoS are usually formalized in a Service Level Agreement or SLA. This will dictate what needs to be measured and analyzed:

"If you can't measure it or derive it, you can't report it."

"A service-level agreement (SLA) is a contract between a service provider and its internal or external customers that documents what services the provider will furnish and defines the performance standards the provider is obligated to meet." [WhatIs.com].

The trick here is to marry these viewpoints which means translating the operational data into service level agreement (SLA) terms and hence into stakeholder perspective, another word for viewpoint All this is complicated when one moves from the relatively simple classical IT environment to the mixed web and application environments, rendered even more difficult to fathom by virtualization and clouds.

The Endpoint

There is no reason why external customers shouldn't be part of any SLA drawn up if the APM setup is designed to cover all important stakeholders.

In addition, it should be transparent to the stakeholders outside operations whether the system runs native, virtualized, in a cloud or in a series of school exercise books. The APM design with these differing viewpoints in mind is the key aspect of this.

Dr. Terry Critchley is the Author of "Making It in IT", "High Performance IT Services" and “High Availability IT Services”.

This blog was created from extracts from Terry Critchley's book: High Performance IT Services [ August 25 2016]

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APM and Viewpoints - Part 2

Terry Critchley

An important aspect of performance (and other) monitoring is where the observer stands when looking at the IT scenario. Each participant has a different view of what is bad performance - network, database, web, system, user personnel, management and external people - customers, regulatory bodies etc. These are what I call viewpoints, a popular concept in IT architecture design methods.

Start with APM and Viewpoints - Part 1

Operations Viewpoint

Operations people, but not the business user and others, will be desperately interested in:

■ % Utilizations

■ Wait times

■ Disk space used

■ Disk I/O Throughput

■ Disk I/O response time

■ Memory % used

■ Page rate

■ etc. etc.

End User Viewpoint

The previous factors are meaningless to the user of the application, who is more interested in:

■ Response times ( which depends on overall latency, percentiles, variations but they are not interested in that detail)

■ Variability of that response; large variations equal poor productivity via irritation and loss of concentration

■ Throughput of work where applicable

■ Availability

■ Other "speed" factors relating to their work

Business Manager Viewpoint

This viewpoint might reflect that of the end user is some respects, but will often be even more general:

■ What is the time between receipt of an order, shipment, invoicing and reconciliation?

■ Is the customer satisfied with this?

■ Can we speed up the processes without excessive cost?

■ Other business aspects

There are other people who will have different requirements and perspectives of performance: service desk, external customers, especially website users, and possibly regulatory bodies. They are important and in performance life, one size does not fit all.

The Outcome

When considering performance management, which is more than simply monitoring, the differing requirements (viewpoints) of various stakeholders needs to be taken into account. It is often difficult to retrofit analysis of performance data to cater for people not considered at the design stage. You may be asked by the CEO, out of the blue: "Why do we take 2 days to issue an invoice after shipment while competitor X takes one?"

Role of the SLA

Whose level of service (quality of service, QoS) are we talking about? Basically, all the types of person outlined above. This (rather these) QoS are usually formalized in a Service Level Agreement or SLA. This will dictate what needs to be measured and analyzed:

"If you can't measure it or derive it, you can't report it."

"A service-level agreement (SLA) is a contract between a service provider and its internal or external customers that documents what services the provider will furnish and defines the performance standards the provider is obligated to meet." [WhatIs.com].

The trick here is to marry these viewpoints which means translating the operational data into service level agreement (SLA) terms and hence into stakeholder perspective, another word for viewpoint All this is complicated when one moves from the relatively simple classical IT environment to the mixed web and application environments, rendered even more difficult to fathom by virtualization and clouds.

The Endpoint

There is no reason why external customers shouldn't be part of any SLA drawn up if the APM setup is designed to cover all important stakeholders.

In addition, it should be transparent to the stakeholders outside operations whether the system runs native, virtualized, in a cloud or in a series of school exercise books. The APM design with these differing viewpoints in mind is the key aspect of this.

Dr. Terry Critchley is the Author of "Making It in IT", "High Performance IT Services" and “High Availability IT Services”.

This blog was created from extracts from Terry Critchley's book: High Performance IT Services [ August 25 2016]

Hot Topics

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...