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Q&A Part Two: CA Technologies Talks About APM

Pete Goldin
APMdigest

In Part Two of APMdigest's exclusive interview, Aruna Ravichandran, CA Technologies Vice President, Product and Solution Marketing, Application Performance Management & DevOps, discusses the benefits of APM and APM SaaS, and the differences between standard APM and APM for the cloud.

Start with Part One of the interview

APM: What are the top benefits of APM?

AR: APM is all about providing an outstanding customer or end-user experience. A positive customer experience improves customer satisfaction and brand perception thereby creating inspired users that directly impact business performance. It helps organizations reduce cost, increase brand loyalty, improve operational efficiency, and accelerate delivery of new business services to grow revenue.

APM: What do you see as the benefits of SaaS, in terms of APM?

AR: SaaS is all about ease of deployment, ease of use, and reduced cost. Looking at technology and business macro trends today, SaaS as a licensing and delivery model continues to show aggressive growth, and is pushing into the mainstream with enterprise IT organizations.

On the road to broad adoption, SaaS APM is following the path set in different markets (i.e. CRM), but is resolving its own unique maturity challenges. For example, what we have learned is that a SaaS APM solution has to be purposely designed to resolve specific APM problems, and with specific user personas in mind. A great example of a well-targeted product that is addressing a real need in the market is CA APM Cloud Monitor. This solution is used by many of our customers as a simple and easy to deploy End User Experience solution for Tier 2 and Tier 3 application, or to provide a complimentary synthetic monitoring component as part of a comprehensive CA APM solution for T1 applications.

Users expect an APM SaaS solution that delivers not only a cost optimized model that is easy to deploy with a quick time-to-value, but also one that is flexible and provides a persona-centric set of advanced capabilities that do not require a change in the platform or going on-premise. Not all of our customers' business and their applications are the same, but they all agree that SaaS APM should not just be some lightweight intro or “hook” to an APM solution that can completely resolve their problem. SaaS solutions need to be user centric, designed for specific personas, and have the ability to comprehensively resolve targeted APM challenges.

APM: What are the main differences between standard APM and APM for the cloud?

AR: Once again I will start answering with the customer needs in mind. The difference between APM and APM for Cloud solutions depends on the customer business, and the needs of their business models. For example, a Cloud providers' main focus is in exceptional customer experience. Performance of their applications is the cornerstone of the End User Experience and has direct impact on revenue streams. Their requirements are having a deep and scalable APM solution that will help them preemptively resolve issues, continue improving performance over time, and the ability to infinitely scale with their deployed solution. This is APM for the cloud.

A different example might include a business model where IT is bursting into the Public Cloud at times of peak load. They want to be able to make sure that transactions that are partially traversing applications in the Public Cloud will continue providing exceptional customer experience. In that case, they might deploy an APM solution that is running synthetic transactions to alert on any application issue.
This is just one simple use case, depicting the difference between customer needs that are driving APM and APM for Cloud requirements.

APM: With this in mind, what is the difference between CA APM vs. CA APM Cloud Monitor?

AR: When it comes to CA solutions, customers' needs are driving the solution and expected benefits. With CA APM you can ensure that every customer interaction with your applications is driving your business, by collecting on-premise information about applications, infrastructure, and end user experience and then taking action to optimize each user interaction with your applications. CA APM is an on-premise solution for datacenters, private clouds, and public clouds that require deep 20/20 vision of their applications.

CA APM Cloud Monitor is different in that it is a SaaS-based solution that runs synthetic transactions to emulate what a real-user might experience from over 96 monitoring stations across the globe. CA APM Cloud Monitor enables IT Operations teams to quickly identify and resolve performance issues and proactively manage the end-user experience of their applications around the world, even when there are no users on the system.

CA APM Cloud Monitor complements the on-premise CA APM solution for a more comprehensive solution and provides a SaaS-based option for applications that don't require full APM. This approach can help you optimize your organization's investments by employing the right level of synthetic monitoring so that you consistently deliver high service levels and an exceptional end-user experience.

Q&A Part Three: CA Technologies Talks About APM

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Q&A Part Two: CA Technologies Talks About APM

Pete Goldin
APMdigest

In Part Two of APMdigest's exclusive interview, Aruna Ravichandran, CA Technologies Vice President, Product and Solution Marketing, Application Performance Management & DevOps, discusses the benefits of APM and APM SaaS, and the differences between standard APM and APM for the cloud.

Start with Part One of the interview

APM: What are the top benefits of APM?

AR: APM is all about providing an outstanding customer or end-user experience. A positive customer experience improves customer satisfaction and brand perception thereby creating inspired users that directly impact business performance. It helps organizations reduce cost, increase brand loyalty, improve operational efficiency, and accelerate delivery of new business services to grow revenue.

APM: What do you see as the benefits of SaaS, in terms of APM?

AR: SaaS is all about ease of deployment, ease of use, and reduced cost. Looking at technology and business macro trends today, SaaS as a licensing and delivery model continues to show aggressive growth, and is pushing into the mainstream with enterprise IT organizations.

On the road to broad adoption, SaaS APM is following the path set in different markets (i.e. CRM), but is resolving its own unique maturity challenges. For example, what we have learned is that a SaaS APM solution has to be purposely designed to resolve specific APM problems, and with specific user personas in mind. A great example of a well-targeted product that is addressing a real need in the market is CA APM Cloud Monitor. This solution is used by many of our customers as a simple and easy to deploy End User Experience solution for Tier 2 and Tier 3 application, or to provide a complimentary synthetic monitoring component as part of a comprehensive CA APM solution for T1 applications.

Users expect an APM SaaS solution that delivers not only a cost optimized model that is easy to deploy with a quick time-to-value, but also one that is flexible and provides a persona-centric set of advanced capabilities that do not require a change in the platform or going on-premise. Not all of our customers' business and their applications are the same, but they all agree that SaaS APM should not just be some lightweight intro or “hook” to an APM solution that can completely resolve their problem. SaaS solutions need to be user centric, designed for specific personas, and have the ability to comprehensively resolve targeted APM challenges.

APM: What are the main differences between standard APM and APM for the cloud?

AR: Once again I will start answering with the customer needs in mind. The difference between APM and APM for Cloud solutions depends on the customer business, and the needs of their business models. For example, a Cloud providers' main focus is in exceptional customer experience. Performance of their applications is the cornerstone of the End User Experience and has direct impact on revenue streams. Their requirements are having a deep and scalable APM solution that will help them preemptively resolve issues, continue improving performance over time, and the ability to infinitely scale with their deployed solution. This is APM for the cloud.

A different example might include a business model where IT is bursting into the Public Cloud at times of peak load. They want to be able to make sure that transactions that are partially traversing applications in the Public Cloud will continue providing exceptional customer experience. In that case, they might deploy an APM solution that is running synthetic transactions to alert on any application issue.
This is just one simple use case, depicting the difference between customer needs that are driving APM and APM for Cloud requirements.

APM: With this in mind, what is the difference between CA APM vs. CA APM Cloud Monitor?

AR: When it comes to CA solutions, customers' needs are driving the solution and expected benefits. With CA APM you can ensure that every customer interaction with your applications is driving your business, by collecting on-premise information about applications, infrastructure, and end user experience and then taking action to optimize each user interaction with your applications. CA APM is an on-premise solution for datacenters, private clouds, and public clouds that require deep 20/20 vision of their applications.

CA APM Cloud Monitor is different in that it is a SaaS-based solution that runs synthetic transactions to emulate what a real-user might experience from over 96 monitoring stations across the globe. CA APM Cloud Monitor enables IT Operations teams to quickly identify and resolve performance issues and proactively manage the end-user experience of their applications around the world, even when there are no users on the system.

CA APM Cloud Monitor complements the on-premise CA APM solution for a more comprehensive solution and provides a SaaS-based option for applications that don't require full APM. This approach can help you optimize your organization's investments by employing the right level of synthetic monitoring so that you consistently deliver high service levels and an exceptional end-user experience.

Q&A Part Three: CA Technologies Talks About APM

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...