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New EMA Research Examines Integrating Applications Across the Cloud

Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, released its latest research report entitled, Integrating Applications Across the Cloud: An Industry Survey.

Throughout 2011, EMA extensively researched Application Performance Management (APM) solutions for Cloud services. Survey-based research focused on application architectures, among other topic areas, since choosing the "right" APM solution requires a clear understanding of the anatomy of the application to be managed.

The analysis process revealed startling statistics about the extent of Cloud integration:

- Nearly 50% of companies had deployed tiered transactions spanning public Cloud and on-premise computing environments (one form of "hybrid Cloud")

- 35% had integrated (or were in the process of integrating) multiple Software as a Service (SaaS) applications.

The findings made it clear that companies are integrating into the Cloud with increasing frequency and sophistication, hence the impetus for research on this topic. Moreover, the topic is important to the larger APM discussion because integrations have a major impact on end-to-end application performance.

“Integration is the next big challenge for businesses delivering production applications via the public Cloud. Integrations across SaaS applications, multi-tier IaaS-hosting, or on-premise to Cloud, for example, present uniquely daunting challenges,” said Julie Craig, EMA Research Director.

This new report details the integration use cases, product requirements, challenges, and stakeholders within organizations that are "integrating with the Cloud."

An EMA Radar Report, to be published in the fall of 2012, will focus on integration products and their Cloud-related capabilities.

Click here for a summary of the report

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New EMA Research Examines Integrating Applications Across the Cloud

Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, released its latest research report entitled, Integrating Applications Across the Cloud: An Industry Survey.

Throughout 2011, EMA extensively researched Application Performance Management (APM) solutions for Cloud services. Survey-based research focused on application architectures, among other topic areas, since choosing the "right" APM solution requires a clear understanding of the anatomy of the application to be managed.

The analysis process revealed startling statistics about the extent of Cloud integration:

- Nearly 50% of companies had deployed tiered transactions spanning public Cloud and on-premise computing environments (one form of "hybrid Cloud")

- 35% had integrated (or were in the process of integrating) multiple Software as a Service (SaaS) applications.

The findings made it clear that companies are integrating into the Cloud with increasing frequency and sophistication, hence the impetus for research on this topic. Moreover, the topic is important to the larger APM discussion because integrations have a major impact on end-to-end application performance.

“Integration is the next big challenge for businesses delivering production applications via the public Cloud. Integrations across SaaS applications, multi-tier IaaS-hosting, or on-premise to Cloud, for example, present uniquely daunting challenges,” said Julie Craig, EMA Research Director.

This new report details the integration use cases, product requirements, challenges, and stakeholders within organizations that are "integrating with the Cloud."

An EMA Radar Report, to be published in the fall of 2012, will focus on integration products and their Cloud-related capabilities.

Click here for a summary of the report

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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...