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Gartner Highlights Five Things That Private Cloud Is Not

Ongoing hype around private cloud computing is creating misperceptions about private cloud, according to Gartner, Inc. To help reduce the hype and identify the real value of private cloud computing for IT leaders, Gartner explains five common misconceptions about private cloud.

"The growth of private cloud computing is being driven by the rapid penetration of virtualization and virtualization management, the growth of cloud computing offerings and pressure to deliver IT faster and cheaper," said Tom Bittman, vice president and distinguished analyst at Gartner. "However, in the rush to respond to these pressures, IT organizations need to be careful to avoid the hype, and, instead, should focus on a private cloud computing effort that makes the most business sense."

The five misconceptions about private cloud and the corresponding realities are:

1. Private Cloud Is Not Virtualization

Server and infrastructure virtualization are important foundations for private cloud computing. However, virtualization and virtualization management are not, by themselves, private cloud computing. Virtualization makes it easier to dynamically and granularly pool and reallocate infrastructure resources (servers, desktop, storage, networking, middleware, etc.). However, virtualization can be enabled in many ways, including virtual machines, operating systems (OSs) or middleware containers, robust OSs, storage abstraction software, grid computing software, and horizontal scaling and cluster tools.

Private cloud computing leverages some form of virtualization to create a cloud computing service. Private cloud computing is a form of cloud computing that is used by only one organization, or that ensures that an organization is completely isolated from others.

2. Private Cloud Is Not Just About Cost Reduction

An enterprise can reduce operational costs with a private cloud by eliminating common, rote tasks for standard offerings. A private cloud can reallocate resources more efficiently to meet enterprise requirements, possibly by reducing capital expenses for hardware.

However, private clouds require investment in automation software, and the savings alone might not justify the cost. As such, cost reduction is not the primary benefit of private cloud computing. The benefits of self-service, automation behind the self-service interface and metering tied to usage are primarily agility, speed to market, ability to scale to dynamic demand or to go after short windows of opportunity, and ability for a business unit to experiment.

3. Private Cloud Is Not Necessarily On-Premises

Private cloud computing is defined by privacy, not location, ownership or management responsibility. While the majority of private clouds will be on-premises (based on the evolution of existing virtualization investments), a growing percentage of private clouds will be outsourced and/or off-premises. Third-party private clouds will have a more flexible definition of "privacy." A third-party private cloud offering might share data center facilities with others, could share equipment over time (from a pool of available resources), and could share resources, but be isolated by a virtual private network (VPN) and everything in between.

4. Private Cloud Is Not Only Infrastructure as a Service (IaaS)

Server virtualization is a major trend and, therefore, a major enabler for private cloud computing. However, private cloud is not limited in any way to IaaS. For example, with development and test offerings, enabling higher-level Platform as a Service (PaaS) offerings for developers makes more sense than a simple virtual machine provisioning service.

Today, the fastest growing segment of cloud computing is IaaS. However, IaaS only provides the lowest-level data center resources in an easy-to-consume way, and doesn't fundamentally change how IT is done. Developers will use PaaS to create new applications designed to be cloud-aware, producing fundamentally new services that could be very differentiating, compared with old applications.

5. Private Cloud Is Not Always Going to Be Private

In many ways, Gartner analysts said that private cloud is a stopgap measure. Over time, public cloud services will mature, improving service levels, security and compliance management. New public cloud services targeting specific requirements will emerge. Some private clouds will be moved completely to the public cloud. However, the majority of private cloud services will evolve to enable hybrid cloud computing, expanding the effective capacity of a private cloud to leverage public cloud services and third-party resources.

"By starting with a private cloud, IT is positioning itself as the broker of all services for the enterprise, whether they are private, public, hybrid or traditional," Mr. Bittman said. "A private cloud that evolves to hybrid or even public could retain ownership of the self-service, and, therefore, the customer and the interface. This is a part of the vision for the future of IT that we call 'hybrid IT.'"

Additional information is available in the Gartner report: Five Things That Private Cloud Is Not

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Gartner Highlights Five Things That Private Cloud Is Not

Ongoing hype around private cloud computing is creating misperceptions about private cloud, according to Gartner, Inc. To help reduce the hype and identify the real value of private cloud computing for IT leaders, Gartner explains five common misconceptions about private cloud.

"The growth of private cloud computing is being driven by the rapid penetration of virtualization and virtualization management, the growth of cloud computing offerings and pressure to deliver IT faster and cheaper," said Tom Bittman, vice president and distinguished analyst at Gartner. "However, in the rush to respond to these pressures, IT organizations need to be careful to avoid the hype, and, instead, should focus on a private cloud computing effort that makes the most business sense."

The five misconceptions about private cloud and the corresponding realities are:

1. Private Cloud Is Not Virtualization

Server and infrastructure virtualization are important foundations for private cloud computing. However, virtualization and virtualization management are not, by themselves, private cloud computing. Virtualization makes it easier to dynamically and granularly pool and reallocate infrastructure resources (servers, desktop, storage, networking, middleware, etc.). However, virtualization can be enabled in many ways, including virtual machines, operating systems (OSs) or middleware containers, robust OSs, storage abstraction software, grid computing software, and horizontal scaling and cluster tools.

Private cloud computing leverages some form of virtualization to create a cloud computing service. Private cloud computing is a form of cloud computing that is used by only one organization, or that ensures that an organization is completely isolated from others.

2. Private Cloud Is Not Just About Cost Reduction

An enterprise can reduce operational costs with a private cloud by eliminating common, rote tasks for standard offerings. A private cloud can reallocate resources more efficiently to meet enterprise requirements, possibly by reducing capital expenses for hardware.

However, private clouds require investment in automation software, and the savings alone might not justify the cost. As such, cost reduction is not the primary benefit of private cloud computing. The benefits of self-service, automation behind the self-service interface and metering tied to usage are primarily agility, speed to market, ability to scale to dynamic demand or to go after short windows of opportunity, and ability for a business unit to experiment.

3. Private Cloud Is Not Necessarily On-Premises

Private cloud computing is defined by privacy, not location, ownership or management responsibility. While the majority of private clouds will be on-premises (based on the evolution of existing virtualization investments), a growing percentage of private clouds will be outsourced and/or off-premises. Third-party private clouds will have a more flexible definition of "privacy." A third-party private cloud offering might share data center facilities with others, could share equipment over time (from a pool of available resources), and could share resources, but be isolated by a virtual private network (VPN) and everything in between.

4. Private Cloud Is Not Only Infrastructure as a Service (IaaS)

Server virtualization is a major trend and, therefore, a major enabler for private cloud computing. However, private cloud is not limited in any way to IaaS. For example, with development and test offerings, enabling higher-level Platform as a Service (PaaS) offerings for developers makes more sense than a simple virtual machine provisioning service.

Today, the fastest growing segment of cloud computing is IaaS. However, IaaS only provides the lowest-level data center resources in an easy-to-consume way, and doesn't fundamentally change how IT is done. Developers will use PaaS to create new applications designed to be cloud-aware, producing fundamentally new services that could be very differentiating, compared with old applications.

5. Private Cloud Is Not Always Going to Be Private

In many ways, Gartner analysts said that private cloud is a stopgap measure. Over time, public cloud services will mature, improving service levels, security and compliance management. New public cloud services targeting specific requirements will emerge. Some private clouds will be moved completely to the public cloud. However, the majority of private cloud services will evolve to enable hybrid cloud computing, expanding the effective capacity of a private cloud to leverage public cloud services and third-party resources.

"By starting with a private cloud, IT is positioning itself as the broker of all services for the enterprise, whether they are private, public, hybrid or traditional," Mr. Bittman said. "A private cloud that evolves to hybrid or even public could retain ownership of the self-service, and, therefore, the customer and the interface. This is a part of the vision for the future of IT that we call 'hybrid IT.'"

Additional information is available in the Gartner report: Five Things That Private Cloud Is Not

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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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...