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John Rakowski from Forrester: 10 Must-Have APM Capabilities

During APMdigest's exclusive interview last month, John Rakowski, Forrester Analyst & Advisor Serving Infrastructure & Operations Professionals, outlined 10 must-have capabilities to look for when you are purchasing an Application Performance Management (APM) solution. Not included with the rest of the interview, here is the list published for the first time:

1. Simplicity

Complexity kills. Complexity in any monitoring solution is not going to provide value. So first and foremost any recommendation that I make is that simple is beautiful. Solutions must be simple to deploy quickly, simple to use, simple to access.

2. Collect All Data

APM solutions must be able to record data rapidly and store economically. You need to be able to record all data. It used to be that monitoring solutions would sample data every five minutes, or even every minute. That is too slow now. You need to be collecting all data.

3. Automation

APM solutions must automatically learn and understand what is important to the environment, in terms of the people, process and technology perspective. It is no good having the operator define this. Because of the rapid return you need to get from APM, these solutions need to be able to learn about the environment.

4. Integration

An APM solution is not going to be the only solution you invest in. A good monitoring approach is to have various products in a monitoring stack – infrastructure monitoring, network performance monitoring. So a good APM solution needs to be able to integrate easily with other monitoring solutions. An open API is a must here.

5. Single Source of the Truth

APM solutions must promote cooperation, and a single source of truth. Your APM solution must be a single source of truth for application performance and availability. And it is not just about traditional understanding of performance and availability. It is also about making sure that these applications are delivering the right customer experience.

6. Search

APM solutions should be collecting all data, so they must make it easy to search through that data.

7. Flexible Dashboards

APM solutions must make it easy to display information in context – whether it is to the business or IT. This requires the capability to easily create dashboards for multiple users.

8. Freemium Model

APM solutions must be available to try for free. I am a big advocate of the “freemium” model. For any APM solution, it is very hard to understand what value you are going to get from that solution in a trial period of 30 days.

9. Integration with Automation Solutions

Solutions must be able to trigger responses to situations rapidly, so integration with automation solutions is important.

10. Focus on Business

APM solutions must focus on business outcomes first, and technology second.

ABOUT John Rakowski

John Rakowski serves Infrastructure & Operations Professionals. He has eight years of experience in the technology and consulting industry, with certifications from Microsoft, VMware, Citrix, BMC, and the Information Technology Infrastructure Library (ITIL). At Forrester, his
research focuses on service management strategy, adoption, and implementation. In particular, Rakowski helps IT leaders and their teams understand the business value of service management, develop their strategy, evaluate and select vendor tools, and implement service management processes such as ITIL. Additionally, Rakowski focuses on the organizational impact of service management and its relationship to broader IT trends such as cloud computing.

Prior to joining Forrester in 2011, Rakowski was a solution architect for Fujitsu specializing in enterprise management. He has provided consultancy to a number of organizations in both the public and private sector and across different verticals ranging from the financial sector to not-for-profit charities. Some notable examples of his past clients are Deutsche Bank, Citigroup, KPMG, and Her Majesty’s Revenue and Customs (HMRC). He has also been a certified trainer delivering systems management courses on behalf of Microsoft. Working out of Forrester's London office, John holds a B.Sc. (Hons) in business information technology from Manchester Metropolitan University.

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

John Rakowski from Forrester: 10 Must-Have APM Capabilities

During APMdigest's exclusive interview last month, John Rakowski, Forrester Analyst & Advisor Serving Infrastructure & Operations Professionals, outlined 10 must-have capabilities to look for when you are purchasing an Application Performance Management (APM) solution. Not included with the rest of the interview, here is the list published for the first time:

1. Simplicity

Complexity kills. Complexity in any monitoring solution is not going to provide value. So first and foremost any recommendation that I make is that simple is beautiful. Solutions must be simple to deploy quickly, simple to use, simple to access.

2. Collect All Data

APM solutions must be able to record data rapidly and store economically. You need to be able to record all data. It used to be that monitoring solutions would sample data every five minutes, or even every minute. That is too slow now. You need to be collecting all data.

3. Automation

APM solutions must automatically learn and understand what is important to the environment, in terms of the people, process and technology perspective. It is no good having the operator define this. Because of the rapid return you need to get from APM, these solutions need to be able to learn about the environment.

4. Integration

An APM solution is not going to be the only solution you invest in. A good monitoring approach is to have various products in a monitoring stack – infrastructure monitoring, network performance monitoring. So a good APM solution needs to be able to integrate easily with other monitoring solutions. An open API is a must here.

5. Single Source of the Truth

APM solutions must promote cooperation, and a single source of truth. Your APM solution must be a single source of truth for application performance and availability. And it is not just about traditional understanding of performance and availability. It is also about making sure that these applications are delivering the right customer experience.

6. Search

APM solutions should be collecting all data, so they must make it easy to search through that data.

7. Flexible Dashboards

APM solutions must make it easy to display information in context – whether it is to the business or IT. This requires the capability to easily create dashboards for multiple users.

8. Freemium Model

APM solutions must be available to try for free. I am a big advocate of the “freemium” model. For any APM solution, it is very hard to understand what value you are going to get from that solution in a trial period of 30 days.

9. Integration with Automation Solutions

Solutions must be able to trigger responses to situations rapidly, so integration with automation solutions is important.

10. Focus on Business

APM solutions must focus on business outcomes first, and technology second.

ABOUT John Rakowski

John Rakowski serves Infrastructure & Operations Professionals. He has eight years of experience in the technology and consulting industry, with certifications from Microsoft, VMware, Citrix, BMC, and the Information Technology Infrastructure Library (ITIL). At Forrester, his
research focuses on service management strategy, adoption, and implementation. In particular, Rakowski helps IT leaders and their teams understand the business value of service management, develop their strategy, evaluate and select vendor tools, and implement service management processes such as ITIL. Additionally, Rakowski focuses on the organizational impact of service management and its relationship to broader IT trends such as cloud computing.

Prior to joining Forrester in 2011, Rakowski was a solution architect for Fujitsu specializing in enterprise management. He has provided consultancy to a number of organizations in both the public and private sector and across different verticals ranging from the financial sector to not-for-profit charities. Some notable examples of his past clients are Deutsche Bank, Citigroup, KPMG, and Her Majesty’s Revenue and Customs (HMRC). He has also been a certified trainer delivering systems management courses on behalf of Microsoft. Working out of Forrester's London office, John holds a B.Sc. (Hons) in business information technology from Manchester Metropolitan University.

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...