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New EMA Report Identifies Top Cloud-Ready APM Solutions

Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, released its newest Radar Report titled, EMA Radar Report: Application Performance Management (APM) for Cloud Services: 18 Cloud-Ready APM Solutions Available TODAY.

Created to assist IT professionals in selecting the right APM solutions to manage their public, private, and hybrid Cloud applications and services, EMA has identified the leading vendors in this space based on key criteria identified by related EMA APM research.

Over the past 10 to 15 years, the complexities involved in APM have multiplied exponentially. As applications have moved off monolithic hosting platforms and on to increasingly tiered and integrated systems, monitoring and managing end-to-end execution have become increasingly problematic. Widespread adoption of Cloud computing introduces additional complexity and signals a paradigm shift in enterprise computing that is impacting vendors and customers alike.

This new research explores these challenges in more depth. It focuses on the issues IT organizations are encountering in terms of managing Cloud environments—public, private, and hybrid— and provides in-depth analysis of a variety of potential solutions that can help solve them.

"IT organizations are telling us that ‘Cloud-readiness’ has become a key factor in developing Requests for Proposal (RFPs), says Julie Craig, EMA Research Director. “I believe this report is unique because it specifically addresses APM capabilities supporting public, private, and hybrid Cloud. Our intent in publishing it is to give IT organizations a starting point for identifying a ‘short list’ of product selections, based on their specific applications, platforms, and management challenges.”

The following criteria were the major factors used to evaluate APM solutions:

- Deployment and Administration: Ease of deployment/administration and breadth of support/services

- Cost Advantage: Overall cost efficiency, including price, breadth of licensing and deployment options, and ongoing maintenance

- Architecture and Integration: Design and breadth of capabilities, scalability, and security features

- Functionality: Features supporting applications running in/on private, public, and hybrid Cloud environments.

This Radar Report provides a detailed, comparative study of products from the following 18 vendors:
AppDynamics
AppFirst
Aternity
CA Technologies
Compuware
Correlsense
eG Innovations
HP
IBM
INETCO
Nastel
Netuitive
New Relic
OPNET
OpTier
Quest
SolarWinds
Splunk

Click here for more information.

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New EMA Report Identifies Top Cloud-Ready APM Solutions

Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, released its newest Radar Report titled, EMA Radar Report: Application Performance Management (APM) for Cloud Services: 18 Cloud-Ready APM Solutions Available TODAY.

Created to assist IT professionals in selecting the right APM solutions to manage their public, private, and hybrid Cloud applications and services, EMA has identified the leading vendors in this space based on key criteria identified by related EMA APM research.

Over the past 10 to 15 years, the complexities involved in APM have multiplied exponentially. As applications have moved off monolithic hosting platforms and on to increasingly tiered and integrated systems, monitoring and managing end-to-end execution have become increasingly problematic. Widespread adoption of Cloud computing introduces additional complexity and signals a paradigm shift in enterprise computing that is impacting vendors and customers alike.

This new research explores these challenges in more depth. It focuses on the issues IT organizations are encountering in terms of managing Cloud environments—public, private, and hybrid— and provides in-depth analysis of a variety of potential solutions that can help solve them.

"IT organizations are telling us that ‘Cloud-readiness’ has become a key factor in developing Requests for Proposal (RFPs), says Julie Craig, EMA Research Director. “I believe this report is unique because it specifically addresses APM capabilities supporting public, private, and hybrid Cloud. Our intent in publishing it is to give IT organizations a starting point for identifying a ‘short list’ of product selections, based on their specific applications, platforms, and management challenges.”

The following criteria were the major factors used to evaluate APM solutions:

- Deployment and Administration: Ease of deployment/administration and breadth of support/services

- Cost Advantage: Overall cost efficiency, including price, breadth of licensing and deployment options, and ongoing maintenance

- Architecture and Integration: Design and breadth of capabilities, scalability, and security features

- Functionality: Features supporting applications running in/on private, public, and hybrid Cloud environments.

This Radar Report provides a detailed, comparative study of products from the following 18 vendors:
AppDynamics
AppFirst
Aternity
CA Technologies
Compuware
Correlsense
eG Innovations
HP
IBM
INETCO
Nastel
Netuitive
New Relic
OPNET
OpTier
Quest
SolarWinds
Splunk

Click here for more information.

Hot Topic

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...