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APM Evolution: End-User Centric APM

Sri Chaganty

Delivering perfect production performance is always hard and ever changing. The fundamentals are very structured and logical, however, with so many end points in a dynamic, virtualized, distributed application topology. The only viable approach today is to understand the end user experience as measured by response time and relate that to all the elements in the topology supporting a specific delivery.


To simplify this, follow down the logic from the correct start point, the Business Bottom Line. Here is the hierarchy to consider:

■ Mission Critical Applications drive the Business bottom-line

■ The Business Bottom-line is determined by User Productivity

■ User Productivity is driven by User Experience

■ End User Experience is real response time

■ Real response time is determined by
- Application Delivery Methods
- Layers of Virtualization
- Supporting Infrastructure

Following this approach, you can move beyond simple monitoring to deliver real performance management – more than just monitoring code and silos of technology, but seeing how the application delivers for the end user.

Sri Chaganty is COO and CTO/Founder at AppEnsure.

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APM Evolution: End-User Centric APM

Sri Chaganty

Delivering perfect production performance is always hard and ever changing. The fundamentals are very structured and logical, however, with so many end points in a dynamic, virtualized, distributed application topology. The only viable approach today is to understand the end user experience as measured by response time and relate that to all the elements in the topology supporting a specific delivery.


To simplify this, follow down the logic from the correct start point, the Business Bottom Line. Here is the hierarchy to consider:

■ Mission Critical Applications drive the Business bottom-line

■ The Business Bottom-line is determined by User Productivity

■ User Productivity is driven by User Experience

■ End User Experience is real response time

■ Real response time is determined by
- Application Delivery Methods
- Layers of Virtualization
- Supporting Infrastructure

Following this approach, you can move beyond simple monitoring to deliver real performance management – more than just monitoring code and silos of technology, but seeing how the application delivers for the end user.

Sri Chaganty is COO and CTO/Founder at AppEnsure.

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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 ...