In APMdigest's exclusive interview, Dennis Drogseth, VP of Research at Enterprise Management Associates (EMA), talks about the APA market, and the recently released EMA Radar for Advanced Performance Analytics (APA) Use Cases: Q4 2012.
APM: Let's start be defining APA.
APA is about Big Data. Huge volumes of data coming out of what I would call the service performance management space – tools that have evolved to manage the performance of applications and other services. APA assimilates that Big Data in near real-time, and uses a lot of advanced heuristics to do predictive or least innovative ways of looking at problems.
APM: Are the capabilities to analyze Big Data, in real-time, and produce predictive results the 3 main defining characteristics that differentiate APA from traditional analytics?
DD: That's true, although I would add other potential attributes such as “self-learning” and “discovering the unobvious.”
But I can hear BI analysts saying that BI tools are evolving to deliver in real-time. All the 22 vendors in the APA Radar Report came out of performance management, they did not come out of the data warehousing. So the DNA is different. It is really a heritage statement, in part that requires Big Data, heuristics and some real-time, either predictive or strong analytic value add.
And APA is not limited to real-time either. Some of these solutions have very strong historical analytics. One even has its own internal OLAP cube. This is why a lot of analysts so far haven’t looked at APA. It is more of a biological thing – sort of how species evolve – than it is a lovely little mathematical definition.
APM: Do you consider APA as a subset of Application Performance Management (APM), or a totally separate market
DD: I would consider it separate but not totally separate. In APA, “A” stands for “advanced” not “application.” I am not saying there isn’t a strong overlap, but the two are not the same. You could make a case that APA is more accurately a subset of “service” performance.
The way I would define APM is certainly smaller than the span of APA. APA is more sprawling and more unruly than APM, in some respects. But there are a lot of APM capabilities that are not APA, such as basic monitoring. Maybe the best way to summarize is that I see APA as a child of APM and service management that will grow up to be bigger than they are in the future.
APM: It seems to me that you would almost have to have APA for APM, to make APM work today, to deal with Big Data and the other issues.
DD: To be competitive, yes. Not all of the 22 vendors in the Radar Report would claim to be APM, but for the ones who would, one of the factors that makes them more competitive is some APA capabilities. Yes, I would say it is a competitive differentiator for APM. But it is not limited to APM.
APM: Do users always buy APA separately or does it come with an APM solution?
DD: The goal of the radar is to show that APA can come in many different forms. In some cases, like Netuitive, it is primarily an overlay, and that general approach — to leverage APA by assimilating many different pre-existing data sources — is growing more and more. But in most cases, APA is part of a suite of solutions, many or most of which do some of their own monitoring, or can at least collect data directly.
APA: In your recent blog on APMdigest, you said “By Q4 of last year I realized that the industry was at an APA turning point.” What was the turning point?
DD: The turning point for me was when both IBM and HP introduced Netuitive-like functionality in Q4 of 2011. They introduced analytic overlays that would feed off third-party sources as well as their own solutions. And of course you could argue the same was true when ProactiveNet was acquired by BMC.
To tell you the truth, I have been watching Netuitive, along with other APA innovators, for years, and I have been waiting for the industry to move more in that direction. And in Q4 last year I saw the ship is beginning to sail – or at least it is leaving the dock.
APM: What has caused this new drive toward APA?
DD: That's a good question. What are the drivers? The need for more cross domain capabilities, for one. If you think about how performance management has evolved, it began with a lot of point solution tools. Niche tools. But unfortunately they were targeted at very narrow spans, and sometimes device specific. You can no longer run an IT organization based on a lot of siloed tools that only look at one domain in isolation.
The other driver is the increasing pressure for IT to become more efficient and deliver value as well as cost efficiencies to the business, which includes a much more enlightened summary of what is going on than was available in the past.
One of the factors that has sort of doomed the BSM acronym was its association with long, protracted, costly deployments that would take years to evolve. That is not how IT organizations can function anymore. So another driver is to have a much more dynamic, self-aware, self-learning capabilities.
Yet another driver for APA has been the need to manage more eclectic environments – thanks to Cloud computing. Cloud is often a mosaic of service provider infrastructures and internal IT infrastructures – Cloud and non-Cloud. How do you bring that all together and understand that from an effective, service-centric point of view?
Q&A Part Two: EMA Talks About Advanced Performance Analytics
Related Links:
EMA Releases New Radar Report on Advanced Performance Analytics
APMdigest Sponsors Featured in New EMA Radar Report on Advanced Performance Analytics
EMA's Dennis Drogseth Publishes New Novel
Click here to download the EMA Radar Report on Advanced Performance Analytics
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...