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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

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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