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APM - The "A" Dimension

Vikas Aggarwal

As more applications migrate to the evolving private and public cloud infrastructure, and permeate through the sprawling distributed “new” IT environment, the Gartner published “five dimensions” of Application Performance Monitoring become essential requirements for any APM monitoring platform.

Being able to capture end-user experience, topology, deep dive monitoring of components and analytics will enable IT operations to isolate APM performance issues, reduce the MTTR for application services, and ultimately higher user satisfaction.

With the arrival and rapid adoption of Virtualization and Cloud infrastructure, reduction in costs for "incremental units" of computing power, the ability to more easily flex up and down as needed, and the lack of restrictions imposed by the traditional models, are all key drivers to migrate applications to this distributed cloud infrastructure.

However, with these benefits comes the added burden of high administration overhead from managing a virally sprawling and dynamic IT environment.

As the number of discrete virtual servers, components and resident applications explodes, performance monitoring and intelligent analytical needs to make rapid decisions will be critical for IT operations. Manually intensive legacy point monitoring tools will not be able to keep up in a dynamic and complex environment where applications can move in almost real time across the underlying IT infrastructure.

Of course, the better approach would be to utilize and adopt the APM “A” dimension – Automation in the monitoring platform to reduce the burden from routine administrative tasks for application monitoring. Implementing the right systems and processes and finding a monitoring solution which uses a good degree of automation is essential to gain back the efficiency lost from the increased complexity of distributed application infrastructure.

Automation in the area of monitoring will ensure consistency in performance monitoring and benchmarking, enabling IT Operations to make better and proactive decisions for application performance. As JP Garbani at Forrester said recently, gaining the right level of productivity in IT operations will come from using better tools, and specifically, automation.

Vikas Aggarwal is CEO of Zyrion.

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APM - The "A" Dimension

Vikas Aggarwal

As more applications migrate to the evolving private and public cloud infrastructure, and permeate through the sprawling distributed “new” IT environment, the Gartner published “five dimensions” of Application Performance Monitoring become essential requirements for any APM monitoring platform.

Being able to capture end-user experience, topology, deep dive monitoring of components and analytics will enable IT operations to isolate APM performance issues, reduce the MTTR for application services, and ultimately higher user satisfaction.

With the arrival and rapid adoption of Virtualization and Cloud infrastructure, reduction in costs for "incremental units" of computing power, the ability to more easily flex up and down as needed, and the lack of restrictions imposed by the traditional models, are all key drivers to migrate applications to this distributed cloud infrastructure.

However, with these benefits comes the added burden of high administration overhead from managing a virally sprawling and dynamic IT environment.

As the number of discrete virtual servers, components and resident applications explodes, performance monitoring and intelligent analytical needs to make rapid decisions will be critical for IT operations. Manually intensive legacy point monitoring tools will not be able to keep up in a dynamic and complex environment where applications can move in almost real time across the underlying IT infrastructure.

Of course, the better approach would be to utilize and adopt the APM “A” dimension – Automation in the monitoring platform to reduce the burden from routine administrative tasks for application monitoring. Implementing the right systems and processes and finding a monitoring solution which uses a good degree of automation is essential to gain back the efficiency lost from the increased complexity of distributed application infrastructure.

Automation in the area of monitoring will ensure consistency in performance monitoring and benchmarking, enabling IT Operations to make better and proactive decisions for application performance. As JP Garbani at Forrester said recently, gaining the right level of productivity in IT operations will come from using better tools, and specifically, automation.

Vikas Aggarwal is CEO of Zyrion.

Hot Topics

The Latest

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 ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

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? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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Azul

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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