Gartner has released the Criteria for the 2014 Magic Quadrant for Application Performance Monitoring.
Jonah Kowall and Will Cappelli will be conducting the research for the report that is expected to be released in the 4th quarter of 2014. Surveys will be sent to vendors next week.
Requirements for the 2014 APM Magic Quadrant include:
■ The vendor’s APM product must include all five dimensions of APM (EUM, application topology discovery and visualization, user-defined transaction profiling, application component deep dive, and IT operations analytics).
■ The APM product must provide compiled Java and .NET code instrumentation in a production environment.
■ Customer references must be located in at least three of the following geographic locations: North America, South America, EMEA, the Asia/Pacific region and/or Japan.
■ The vendor should have at least 50 customers that use its APM product actively in a production environment.
■ The vendor references must confirm they are monitoring at least 200 production application server instances in a production environment.
■ Some features of the APM offering must be available via a SaaS delivery model.
■ The product must be shipping to end-user clients for production deployment and designated with general availability by July 15th 2014.
■ Total revenue (including new licenses, updates, maintenance, subscriptions, SaaS, hosting and technical support) must have exceeded $5 million in calendar year 2013.
While a vendor may meet the inclusion criteria for the APM Magic Quadrant, placement within the finalized Magic Quadrant will depend on its scoring in a number of categories.
The above is just a sampling of the criteria. For the full criteria click the link below.
The Latest
Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...
In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...
Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...
App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...
Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...
As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...
The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...
A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner survey ...
The power of AI, and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate ... Gartner identified the top data and analytics (D&A) trends for 2024 that are driving the emergence of a wide range of challenges, including organizational and human issues ...
IT and the business are disconnected. Ask the business what IT does and you might hear "they implement infrastructure, write software, and migrate things to cloud," and for some that might be the extent of their knowledge of IT. Similarly, IT might know that the business "markets and sells and develops product," but they may not know what those functions entail beyond the unit they serve the most ...
