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New Data Reveals Widespread Downtime and Security Risks in 99% of Enterprise Private Cloud Environments

Doron Pinhas

Industrial and technological revolutions happen because new manufacturing systems or technologies make life easier, less expensive, more convenient, or more efficient. It's been that way in every epoch – but Continuity Software's new study indicates that in the cloud era, there's still work to be done.

With the rise of cloud technology in recent years, Continuity Software conducted an analysis of live enterprise private cloud environments – and the results are not at all reassuring. According to configuration data gathered from over 100 enterprise environments over the past year, the study found that there were widespread performance issues in 97% of them, putting the IT system at great risk for downtime. Ranked by the participating enterprises as the greatest concern, downtime risks were still present in each of the tested environments.

A deep dive into the study findings revealed numerous reasons for the increased operational risk in private cloud environments, ranging from lack of awareness to critical vendor recommendations, inconsistent configuration across virtual infrastructure components and incorrect alignment between different technology layers (such as virtual networks and physical resources, storage and compute layers, etc.).

The downtime risks were not specific to any particular configuration of hardware, software, or operating system. Indeed, the studied enterprises used a diverse technology stack: 48% of the organizations are pure Windows shops, compared to 7% of the organizations that run primarily Linux. 46% of the organizations use a mix of operating systems. Close to three quarters (73%) of the organizations use EMC data storage systems and 27% of the organizations use replication for automated offsite data protection. And 12% utilized active-active failover for continuous availability.

Certainly in the companies in question, the IT departments include top engineers and administrators – yet nearly all of the top companies included in the study have experienced some, and in a few cases many, issues.

While the results are unsettling, they are certainly not surprising. The modern IT environment is extremely complex and volatile: changes are made daily by multiple teams in a rapidly evolving technology landscape. With daily patching, upgrades, capacity expansion, etc., the slightest miscommunication between teams, or a knowledge gap could result in hidden risks to the stability of the IT environment.

Unlike legacy systems, in which standard testing and auditing practices are employed regularly (typically once or twice a year), private cloud infrastructure is not regularly tested. Interestingly, this fact is not always fully realized, even by seasoned IT experts. Virtual infrastructure is often designed to be "self-healing," using features such as virtual machine High Availability and workload mobility. Indeed, some evidence is regularly provided to demonstrate that they are working; after all, IT executives may argue, "not a week goes by with some virtual machines failing over successfully."

This perception of safety can be misleading, since a chain is only as strong as its weakest link; Simply put, it's a number game. Over the course of any given week, only a minute fraction of the virtual machines will actually be failed-over – usually less than 1%. What about the other 99%? Is it realistic to expect they're also fully protected?

The only way to determine the private cloud is truly resilient would be to prove every possible permutation of failure could be successfully averted. Of course, this could not be accomplished with manual processes, which would be much too time consuming, and potentially disruptive. The only sustainable and scalable approach would be to automate private cloud configuration validation and testing.

Individual vendors offer basic health measurements for their solution stack (for example, VMware, Microsoft, EMC and others). While useful, this is far from a real solution, since, as the study shows, the majority of the issues occur due to incorrect alignment between the different layers. In recent years, more holistic solutions have entered the market, that offer vendor agnostic, cross-domain validation.

While such approaches come with a cost, it is by far less expensive than the alternative cost of experiencing a critical outage. The cost of a single hour of downtime, according to multiple industry studies, can easily reach hundreds of thousands of dollars (and, in some verticals even millions).

Doron Pinhas is CTO of Continuity Software.

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New Data Reveals Widespread Downtime and Security Risks in 99% of Enterprise Private Cloud Environments

Doron Pinhas

Industrial and technological revolutions happen because new manufacturing systems or technologies make life easier, less expensive, more convenient, or more efficient. It's been that way in every epoch – but Continuity Software's new study indicates that in the cloud era, there's still work to be done.

With the rise of cloud technology in recent years, Continuity Software conducted an analysis of live enterprise private cloud environments – and the results are not at all reassuring. According to configuration data gathered from over 100 enterprise environments over the past year, the study found that there were widespread performance issues in 97% of them, putting the IT system at great risk for downtime. Ranked by the participating enterprises as the greatest concern, downtime risks were still present in each of the tested environments.

A deep dive into the study findings revealed numerous reasons for the increased operational risk in private cloud environments, ranging from lack of awareness to critical vendor recommendations, inconsistent configuration across virtual infrastructure components and incorrect alignment between different technology layers (such as virtual networks and physical resources, storage and compute layers, etc.).

The downtime risks were not specific to any particular configuration of hardware, software, or operating system. Indeed, the studied enterprises used a diverse technology stack: 48% of the organizations are pure Windows shops, compared to 7% of the organizations that run primarily Linux. 46% of the organizations use a mix of operating systems. Close to three quarters (73%) of the organizations use EMC data storage systems and 27% of the organizations use replication for automated offsite data protection. And 12% utilized active-active failover for continuous availability.

Certainly in the companies in question, the IT departments include top engineers and administrators – yet nearly all of the top companies included in the study have experienced some, and in a few cases many, issues.

While the results are unsettling, they are certainly not surprising. The modern IT environment is extremely complex and volatile: changes are made daily by multiple teams in a rapidly evolving technology landscape. With daily patching, upgrades, capacity expansion, etc., the slightest miscommunication between teams, or a knowledge gap could result in hidden risks to the stability of the IT environment.

Unlike legacy systems, in which standard testing and auditing practices are employed regularly (typically once or twice a year), private cloud infrastructure is not regularly tested. Interestingly, this fact is not always fully realized, even by seasoned IT experts. Virtual infrastructure is often designed to be "self-healing," using features such as virtual machine High Availability and workload mobility. Indeed, some evidence is regularly provided to demonstrate that they are working; after all, IT executives may argue, "not a week goes by with some virtual machines failing over successfully."

This perception of safety can be misleading, since a chain is only as strong as its weakest link; Simply put, it's a number game. Over the course of any given week, only a minute fraction of the virtual machines will actually be failed-over – usually less than 1%. What about the other 99%? Is it realistic to expect they're also fully protected?

The only way to determine the private cloud is truly resilient would be to prove every possible permutation of failure could be successfully averted. Of course, this could not be accomplished with manual processes, which would be much too time consuming, and potentially disruptive. The only sustainable and scalable approach would be to automate private cloud configuration validation and testing.

Individual vendors offer basic health measurements for their solution stack (for example, VMware, Microsoft, EMC and others). While useful, this is far from a real solution, since, as the study shows, the majority of the issues occur due to incorrect alignment between the different layers. In recent years, more holistic solutions have entered the market, that offer vendor agnostic, cross-domain validation.

While such approaches come with a cost, it is by far less expensive than the alternative cost of experiencing a critical outage. The cost of a single hour of downtime, according to multiple industry studies, can easily reach hundreds of thousands of dollars (and, in some verticals even millions).

Doron Pinhas is CTO of Continuity Software.

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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 ...

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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 ...