Q&A Part Two: CA Technologies Talks About APM
May 30, 2014
Share this

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

Share this

The Latest

September 23, 2021

The Internet played a greater role than ever in supporting enterprise productivity over the past year-plus, as newly remote workers logged onto the job via residential links that, it turns out, left much to be desired in terms of enabling work ...

September 22, 2021

The world's appetite for cloud services has increased but now, more than 18 months since the beginning of the pandemic, organizations are assessing their cloud spend and trying to better understand the IT investments that were made under pressure. This is a huge challenge in and of itself, with the added complexity of embracing hybrid work ...

September 21, 2021

After a year of unprecedented challenges and change, tech pros responding to this year’s survey, IT Pro Day 2021 survey: Bring IT On from SolarWinds, report a positive perception of their roles and say they look forward to what lies ahead ...

September 20, 2021

One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge ...

September 16, 2021

Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...

September 15, 2021

On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...

September 14, 2021

While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...

September 13, 2021

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...

September 09, 2021

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...

September 08, 2021

DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...