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Why Joining an APM Vendor's Solution Ecosystem Makes Sense

Colette Finneran

If your company has experience in developing applications or performance management solutions, then you might want to consider joining an APM vendor's ecosystem to grow revenue. Here is how it should work: you develop market solutions incorporating your industry and technology experience, the vendor sells the solution globally through multiple channels, and you collect your check each month. The key is developing solutions for a market, not just one customer!

Why Do Vendors Need More Development Partners in Their Ecosystem?

The application performance market is rapidly evolving and driving new requirements on enterprise APM. Line of Business Managers need an easier way to manage the user experience of key enterprise apps. Developers need to find and fix slow code before its gets deployed. New open source software tools for app developers appear by the week, challenging the vendors to keep pace with new use cases, new technologies, and tougher SLAs around application availability and performance. The truth is that no vendor, no matter how large, can match the pace of the market by working alone.

The winning formula marries partners' industry experience and technology expertise with vendors' platform capabilities. Combining partner and vendor strengths accelerates the availability of higher value solutions to the market. A partner who knows the Healthcare industry already understands end-users' daily trials and tribulations, which performance metrics are important, and what insights they offer. As the volumes of data continue to rise, end-user needs real business insights from APM solutions – not more KPIs to look at. In addition, they need integrated capabilities to increase DevOps productivity for business agility on hybrid cloud.

Partners who apply their expertise to quickly build APM solutions can grow new revenue streams as their APM solution extensions are re-sold across the platform vendor's digital, direct and partner sales channels.


A Recap of Why the APM Market Opportunity in Enterprise Is Growing

Enterprises have ongoing challenges including gaps in app performance insight, lack of consistency in the depth of insight available, and keeping APM current with the latest platform updates. The results: more time needed to detect, isolate, diagnose and fix customer impacting performance issues. They need coverage of all domains including applications, middleware, and infrastructure. They need a consistent level of performance data coverage end-to-end, and a consistent depth for key applications & infrastructure. The APM system must be up-to-date with the latest versions of the technologies being monitored. As new technologies are introduced and existing ones upgraded, the APM system should discover, correlate, and visualize the latest available data and distill insight and foresight for the business.

This increased breadth of monitoring required for an Enterprise's Hybrid Cloud environment adds complexity for APM. New consumers of APM solutions have their own particular needs. Whilst the well understood IT Ops user responsible for managing the hybrid infrastructure wants to monitor the infrastructure end-to-end, the Line Of Business and Application Owner wants to ensure that users continue to have a good experience using their apps. Enterprises evolving Dev Ops practices and extending development platforms want app performance issues and infrastructure impacts resolved before the new or updated app goes live.

Colette Finneran is an Offering Manager, Application Performance Management, at IBM.

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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 ...

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Why Joining an APM Vendor's Solution Ecosystem Makes Sense

Colette Finneran

If your company has experience in developing applications or performance management solutions, then you might want to consider joining an APM vendor's ecosystem to grow revenue. Here is how it should work: you develop market solutions incorporating your industry and technology experience, the vendor sells the solution globally through multiple channels, and you collect your check each month. The key is developing solutions for a market, not just one customer!

Why Do Vendors Need More Development Partners in Their Ecosystem?

The application performance market is rapidly evolving and driving new requirements on enterprise APM. Line of Business Managers need an easier way to manage the user experience of key enterprise apps. Developers need to find and fix slow code before its gets deployed. New open source software tools for app developers appear by the week, challenging the vendors to keep pace with new use cases, new technologies, and tougher SLAs around application availability and performance. The truth is that no vendor, no matter how large, can match the pace of the market by working alone.

The winning formula marries partners' industry experience and technology expertise with vendors' platform capabilities. Combining partner and vendor strengths accelerates the availability of higher value solutions to the market. A partner who knows the Healthcare industry already understands end-users' daily trials and tribulations, which performance metrics are important, and what insights they offer. As the volumes of data continue to rise, end-user needs real business insights from APM solutions – not more KPIs to look at. In addition, they need integrated capabilities to increase DevOps productivity for business agility on hybrid cloud.

Partners who apply their expertise to quickly build APM solutions can grow new revenue streams as their APM solution extensions are re-sold across the platform vendor's digital, direct and partner sales channels.


A Recap of Why the APM Market Opportunity in Enterprise Is Growing

Enterprises have ongoing challenges including gaps in app performance insight, lack of consistency in the depth of insight available, and keeping APM current with the latest platform updates. The results: more time needed to detect, isolate, diagnose and fix customer impacting performance issues. They need coverage of all domains including applications, middleware, and infrastructure. They need a consistent level of performance data coverage end-to-end, and a consistent depth for key applications & infrastructure. The APM system must be up-to-date with the latest versions of the technologies being monitored. As new technologies are introduced and existing ones upgraded, the APM system should discover, correlate, and visualize the latest available data and distill insight and foresight for the business.

This increased breadth of monitoring required for an Enterprise's Hybrid Cloud environment adds complexity for APM. New consumers of APM solutions have their own particular needs. Whilst the well understood IT Ops user responsible for managing the hybrid infrastructure wants to monitor the infrastructure end-to-end, the Line Of Business and Application Owner wants to ensure that users continue to have a good experience using their apps. Enterprises evolving Dev Ops practices and extending development platforms want app performance issues and infrastructure impacts resolved before the new or updated app goes live.

Colette Finneran is an Offering Manager, Application Performance Management, at IBM.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.