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APM Predictions 2016: Choosing an APM for Maximum Advantage

Larry Haig

As foreseen in previous years, the Application Performance Management (APM) market continues to develop, both in terms of numbers of providers and inherent functionality, particularly with regard to end user visibility. However, a lack of fundamental differentiation between many of the providers means that consolidation is to be expected, either due to the collapse of (over geared) Vendors, or via acquisition.

New adopters of APM would be well advised to consider whether their favored vendor is likely to be a purchaser (and therefore provide continuity), or a purchase (and run the risk of absorption into a larger system, or disappearance). This advice would tend to favor the larger / more established Vendors. Partly, however, this will depend on the investment and time horizons for the chosen product. "An APM is for life, not just for Christmas" does not necessarily have to be a given, particularly for smaller companies with straightforward delivery infrastructure and little legacy baggage.

It is increasingly necessary to trade off the ongoing, expensive, skills requirements necessary to gain the most from some APMs versus the immediate (but perhaps ultimately more limited) value of competing products.

Such decisions are largely dependent upon the inherent complexity of a delivery infrastructure. Dimensions include:

■ Number and type of underlying technology (legacy to bleeding edge)

■ Inherent application complexity

■ Extensibility – physical or virtual

■ 3rd party inclusions (client side affiliates to server-side web services links)

■ Nature and distribution of end usage – devices, native applications, geography, etc.

It is worth considering the overall benefits of (for example) gaining say 75% of the theoretical maximal visibility and value from an easily configurable and accessible "light touch" APM; against driving for maximum value and precision. The latter approach necessarily requires higher overheads in a range of areas, from more intricate definition of output dashboards/reports to greater ongoing management and interpretative skills. Whatever the salesman says, none of the higher end APM tools are truly "plug and play" – all require tuning, both to provide good understanding and to minimize performance overhead.

As always, the ability of your chosen APM to work with your current (and anticipated) technology stack – application framework, legacy components (mainframe, VAX?), modern extensions (microservices containers), in addition to the ability to cope with your anticipated throughput volumes and demand patterns) are primary requirements.

Larry Haig is Senior Consultant at Intechnica.

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APM Predictions 2016: Choosing an APM for Maximum Advantage

Larry Haig

As foreseen in previous years, the Application Performance Management (APM) market continues to develop, both in terms of numbers of providers and inherent functionality, particularly with regard to end user visibility. However, a lack of fundamental differentiation between many of the providers means that consolidation is to be expected, either due to the collapse of (over geared) Vendors, or via acquisition.

New adopters of APM would be well advised to consider whether their favored vendor is likely to be a purchaser (and therefore provide continuity), or a purchase (and run the risk of absorption into a larger system, or disappearance). This advice would tend to favor the larger / more established Vendors. Partly, however, this will depend on the investment and time horizons for the chosen product. "An APM is for life, not just for Christmas" does not necessarily have to be a given, particularly for smaller companies with straightforward delivery infrastructure and little legacy baggage.

It is increasingly necessary to trade off the ongoing, expensive, skills requirements necessary to gain the most from some APMs versus the immediate (but perhaps ultimately more limited) value of competing products.

Such decisions are largely dependent upon the inherent complexity of a delivery infrastructure. Dimensions include:

■ Number and type of underlying technology (legacy to bleeding edge)

■ Inherent application complexity

■ Extensibility – physical or virtual

■ 3rd party inclusions (client side affiliates to server-side web services links)

■ Nature and distribution of end usage – devices, native applications, geography, etc.

It is worth considering the overall benefits of (for example) gaining say 75% of the theoretical maximal visibility and value from an easily configurable and accessible "light touch" APM; against driving for maximum value and precision. The latter approach necessarily requires higher overheads in a range of areas, from more intricate definition of output dashboards/reports to greater ongoing management and interpretative skills. Whatever the salesman says, none of the higher end APM tools are truly "plug and play" – all require tuning, both to provide good understanding and to minimize performance overhead.

As always, the ability of your chosen APM to work with your current (and anticipated) technology stack – application framework, legacy components (mainframe, VAX?), modern extensions (microservices containers), in addition to the ability to cope with your anticipated throughput volumes and demand patterns) are primary requirements.

Larry Haig is Senior Consultant at Intechnica.

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 ...