Choosing an APM Solution

New Ovum Decision Matrix Provides Guidance on APM
Michael Azoff

The market for Application Performance Management (APM) solutions continues to expand on the strength of innovation within the APM industry, resulting in new-generation tools, and also as a result of major shifts in IT usage around mobile and cloud, leading to demand for new APM capabilities.

To help IT decision-makers choose the right solution for their needs, the Ovum Decision Matrix on APM takes 10 of the leading APM solutions and evaluates and compares them side-by-side.

APM is Essential for Businesses, Providing Transparency into IT Applications and Infrastructure

APM is an essential activity for enterprises at multiple levels:

- During development, APM assists developers and QA staff with pre-release performance testing

- During live production, APM assists IT operations ensure mission-critical applications are running within the boundaries of SLAs (service-level agreements)

- APM supports the delivery of IT services to the business; advanced technology can preempt issues before end users are affected

- APM supports troubleshooting and defect-fixing when problems do occur

APM solutions monitor the IT environment, manage the gathering of metric data, and provide reports and dashboards for administrators, managers, and other stakeholders.

Cloud and Mobile Application Support is Essential for APM Solutions

APM remains a market with many different types of solutions, from hardware-based appliances to pure-software solutions. Typically, vendors approach the market with particular strengths and build out their coverage portfolio on top of these – for example, building solutions around complex event processing engines, or Big Data real-time analytics capabilities.

The market has seen a definite shift towards solutions supporting the latest mobile and cloud computing trends. As enterprises make better use of cloud services, and enterprise end users and consumers increasingly use smart mobile devices, the need to manage performance on these environments correspondingly grows. Another noticeable trend is the availability of APM-as-a-Service solutions.

Log Management Makes a Major Impact in APM

An emerging category within APM is log management, which has been growing at a strong pace with a number of new vendors joining the market; Splunk, in particular, has made quite a splash. These solutions mine the fields embedded in machine-generated data, including log files and headers in messages, and content that is generated by a host of applications from social network services such as Twitter, enterprise applications, and IT tools, including other APM solutions.

Log management tools process vast amounts of machine data in real time, exploiting Big Data technologies, so they represent a fusion of new technologies applied to existing categories of data. As the capabilities of log management tools are realized by users, developers write improved logs, creating a virtuous circle.

The incumbent APM vendors with Big Data capabilities are also addressing log management and are responding to this emerging solution category by better targeting their existing features.

To help enterprise IT users choose their APM tools, Ovum has recently published the Ovum Decision Matrix on APM 2014–15, which evaluates and compares 10 of the leading solutions in the market side-by-side.

Michael Azoff is a Principal Analyst at Ovum.

Related Links:

www.ovum.com

For Ovum Subscribers: Ovum Decision Matrix on APM 2014–15

Available from CA Technologies: Ovum Decision Matrix on APM 2014–15

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Choosing an APM Solution

New Ovum Decision Matrix Provides Guidance on APM
Michael Azoff

The market for Application Performance Management (APM) solutions continues to expand on the strength of innovation within the APM industry, resulting in new-generation tools, and also as a result of major shifts in IT usage around mobile and cloud, leading to demand for new APM capabilities.

To help IT decision-makers choose the right solution for their needs, the Ovum Decision Matrix on APM takes 10 of the leading APM solutions and evaluates and compares them side-by-side.

APM is Essential for Businesses, Providing Transparency into IT Applications and Infrastructure

APM is an essential activity for enterprises at multiple levels:

- During development, APM assists developers and QA staff with pre-release performance testing

- During live production, APM assists IT operations ensure mission-critical applications are running within the boundaries of SLAs (service-level agreements)

- APM supports the delivery of IT services to the business; advanced technology can preempt issues before end users are affected

- APM supports troubleshooting and defect-fixing when problems do occur

APM solutions monitor the IT environment, manage the gathering of metric data, and provide reports and dashboards for administrators, managers, and other stakeholders.

Cloud and Mobile Application Support is Essential for APM Solutions

APM remains a market with many different types of solutions, from hardware-based appliances to pure-software solutions. Typically, vendors approach the market with particular strengths and build out their coverage portfolio on top of these – for example, building solutions around complex event processing engines, or Big Data real-time analytics capabilities.

The market has seen a definite shift towards solutions supporting the latest mobile and cloud computing trends. As enterprises make better use of cloud services, and enterprise end users and consumers increasingly use smart mobile devices, the need to manage performance on these environments correspondingly grows. Another noticeable trend is the availability of APM-as-a-Service solutions.

Log Management Makes a Major Impact in APM

An emerging category within APM is log management, which has been growing at a strong pace with a number of new vendors joining the market; Splunk, in particular, has made quite a splash. These solutions mine the fields embedded in machine-generated data, including log files and headers in messages, and content that is generated by a host of applications from social network services such as Twitter, enterprise applications, and IT tools, including other APM solutions.

Log management tools process vast amounts of machine data in real time, exploiting Big Data technologies, so they represent a fusion of new technologies applied to existing categories of data. As the capabilities of log management tools are realized by users, developers write improved logs, creating a virtuous circle.

The incumbent APM vendors with Big Data capabilities are also addressing log management and are responding to this emerging solution category by better targeting their existing features.

To help enterprise IT users choose their APM tools, Ovum has recently published the Ovum Decision Matrix on APM 2014–15, which evaluates and compares 10 of the leading solutions in the market side-by-side.

Michael Azoff is a Principal Analyst at Ovum.

Related Links:

www.ovum.com

For Ovum Subscribers: Ovum Decision Matrix on APM 2014–15

Available from CA Technologies: Ovum Decision Matrix on APM 2014–15

Hot Topics

The Latest

Implementing AI Isn't the Hard Part Anymore - Adoption Is

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Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

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When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

The SIEM Isn't the Problem. Your Telemetry Architecture Is

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

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Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

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