Application Performance Management (APM) technologies have evolved quickly over the past few years and, will no doubt, continue to accelerate during the coming years. One key area which APM vendors have to recognize is a current weakness that must be quickly addressed is that the compelling business driver is not just ensuring the health, availability, and performance of "applications" but the business services which they support.
The business service can be defined as one or more applications which provide a discrete service assessable by a user (internal or external) or a another application PLUS the underlying service delivery infrastructure. The latter presents the gap when it comes to the focus of the majority of current APM vendors. While an application(s) may be performing well, the business service may be unavailable due to blade failure on a database server (for example).
The dependency between Application Performance and Business Service Performance must include a view into the health of the entire "full stack." Most APM vendors have obviously approached the "problem" from the perspective of the application. Indeed, some APM vendors are optimized for Java environments, others specialize in .Net environments, still some are focused on enterprise COTS packages, such as SAP or Siebel. With such a wide array of diversity in the "application" realm, it's little wonder why most APM vendors have heretofore neglected the supporting service delivery infrastructure.
IT organizations are demanding a full stack, business service-oriented solution. The first vendors that get there with a complete story (and, more importantly, a complete set of capabilities) will be favored to win the long-term APM vendor race.
Bob Johnson is CMO of Optanix.
The Latest
The 2024 State of the Data Center Report from CoreSite shows that although C-suite confidence in the economy remains high, a VUCA (volatile, uncertain, complex, ambiguous) environment has many business leaders proceeding with caution when it comes to their IT and data ecosystems, with an emphasis on cost control and predictability, flexibility and risk management ...
In June, New Relic published the State of Observability for Energy and Utilities Report to share insights, analysis, and data on the impact of full-stack observability software in energy and utilities organizations' service capabilities. Here are eight key takeaways from the report ...
The rapid rise of generative AI (GenAI) has caught everyone's attention, leaving many to wonder if the technology's impact will live up to the immense hype. A recent survey by Alteryx provides valuable insights into the current state of GenAI adoption, revealing a shift from inflated expectations to tangible value realization across enterprises ... Here are five key takeaways that underscore GenAI's progression from hype to real-world impact ...
As software development grows more intricate, the challenge for observability engineers tasked with ensuring optimal system performance becomes more daunting. Current methodologies are struggling to keep pace, with the annual Observability Pulse surveys indicating a rise in Mean Time to Remediation (MTTR). According to this survey, only a small fraction of organizations, around 10%, achieve full observability today. Generative AI, however, promises to significantly move the needle ...
While nearly all data leaders surveyed are building generative AI applications, most don't believe their data estate is actually prepared to support them, according to the State of Reliable AI report from Monte Carlo Data ...
Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics ... have been largely overlooked ...
The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty ...
In MEAN TIME TO INSIGHT Episode 8, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AutoCon with the conference founders Scott Robohn and Chris Grundemann ...
Numerous vendors and service providers have recently embraced the NaaS concept, yet there is still no industry consensus on its definition or the types of networks it involves. Furthermore, providers have varied in how they define the NaaS service delivery model. I conducted research for a new report, Network as a Service: Understanding the Cloud Consumption Model in Networking, to refine the concept of NaaS and reduce buyer confusion over what it is and how it can offer value ...
