Skip to main content

VMware Releases New vSphere, vSAN and vRealize Solutions

VMware announced the general availability of new releases of VMware vSphere, VMware vSAN (formerly VMware Virtual SAN), VMware vRealize Log Insight and VMware vRealize Operations to help IT operations teams more efficiently run, manage and secure their traditional and modern applications on- or off-premises.

These new releases advance the VMware Cross-Cloud Architecture, which enables customers to run, manage, connect, and secure their applications across clouds and devices in a common operating environment. The Cross-Cloud Architecture delivers consistent deployment models, security policies, visibility, and governance for all applications, running on- and off-premises, regardless of the underlying cloud, hardware platform or hypervisor. VMware's Cross-Cloud Architecture builds on its private and hybrid cloud capabilities by offering customers the freedom to innovate in multiple clouds, and is delivered through VMware Cloud Foundation, VMware vRealize Suite and a new set of Cross-Cloud Services.

Newly available offerings include:

- VMware vSphere 6.5 -- VMware vSphere 6.5 includes new features and multiple enhancements to deliver a simplified customer experience, comprehensive built-in security, and a universal applications platform to support all application types including containerized applications. Specifically, this latest release includes new features in the VMware vCenter Server Appliance, new REST-based APIs, an HTML5-based VMware vSphere Client, and virtual machine encryption. VMware vSphere Integrated Containers, a new feature of vSphere 6.5, is scheduled to be available later in Q4 2016. VMware vSphere 6.5 will be featured in vSphere with Operations Management 6.5. This new release is also expected to be a part of VMware Cloud Foundation moving forward.

- VMware vSAN 6.5 -- VMware vSAN 6.5 further improves total cost of ownership (TCO) savings by adding support for containers and physical workloads, unveiling iSCSI support, eliminating networking hardware costs from two-node Remote Office/Branch Office (ROBO) configurations, and adding all-flash hardware support to vSAN Standard Edition. A new VMware Ready for vSAN certification program is also now available to provide customers with the confidence that file services and data protection partner solutions will seamlessly deploy, run and interoperate with vSAN. Additionally, vSphere Virtual Volumes 2.0 is now available, featuring enhanced enterprise-readiness through capabilities like native support for array replication as well as support for business-critical applications such as Oracle Database with Real Application Clusters.

- VMware vRealize -- To further accelerate the delivery of infrastructure and applications, VMware has expanded the functionality of its integrated vRealize cloud management platform via the introduction of container management capabilities and support for Microsoft Azure as a dedicated endpoint. The newly available VMware vRealize Log Insight 4.0 features enhanced alert management and a redesigned user interface, while vRealize Operations 6.4 now delivers improved alert management and metric grouping, new customized dashboards, and predictive DRS for improved workload performance. Scheduled to become available later in Q4 2016, VMware vRealize Automation 7.2 will simplify hybrid cloud deployments with new out of the box support for Microsoft Azure. Additionally, it will enable IT to discover, deploy and manage containers throughout their environment with new container management capabilities. vRealize Automation 7.2 will also feature out of the box support for ServiceNow enabling vRealize Automation service catalog items to be accessed directly via ServiceNow.

- VMware Cloud Services -- VMware has expanded to include new Hybrid Cloud solutions for the enterprise. VMware has introduced the beta of a new vCloud Air disaster recovery solution and the beta of VMware Cloud Foundation on vCloud Air. These releases enable customers to gain cloud scale, agility, and flexibility with compatibility for a unified hybrid cloud experience. Learn more here.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

VMware Releases New vSphere, vSAN and vRealize Solutions

VMware announced the general availability of new releases of VMware vSphere, VMware vSAN (formerly VMware Virtual SAN), VMware vRealize Log Insight and VMware vRealize Operations to help IT operations teams more efficiently run, manage and secure their traditional and modern applications on- or off-premises.

These new releases advance the VMware Cross-Cloud Architecture, which enables customers to run, manage, connect, and secure their applications across clouds and devices in a common operating environment. The Cross-Cloud Architecture delivers consistent deployment models, security policies, visibility, and governance for all applications, running on- and off-premises, regardless of the underlying cloud, hardware platform or hypervisor. VMware's Cross-Cloud Architecture builds on its private and hybrid cloud capabilities by offering customers the freedom to innovate in multiple clouds, and is delivered through VMware Cloud Foundation, VMware vRealize Suite and a new set of Cross-Cloud Services.

Newly available offerings include:

- VMware vSphere 6.5 -- VMware vSphere 6.5 includes new features and multiple enhancements to deliver a simplified customer experience, comprehensive built-in security, and a universal applications platform to support all application types including containerized applications. Specifically, this latest release includes new features in the VMware vCenter Server Appliance, new REST-based APIs, an HTML5-based VMware vSphere Client, and virtual machine encryption. VMware vSphere Integrated Containers, a new feature of vSphere 6.5, is scheduled to be available later in Q4 2016. VMware vSphere 6.5 will be featured in vSphere with Operations Management 6.5. This new release is also expected to be a part of VMware Cloud Foundation moving forward.

- VMware vSAN 6.5 -- VMware vSAN 6.5 further improves total cost of ownership (TCO) savings by adding support for containers and physical workloads, unveiling iSCSI support, eliminating networking hardware costs from two-node Remote Office/Branch Office (ROBO) configurations, and adding all-flash hardware support to vSAN Standard Edition. A new VMware Ready for vSAN certification program is also now available to provide customers with the confidence that file services and data protection partner solutions will seamlessly deploy, run and interoperate with vSAN. Additionally, vSphere Virtual Volumes 2.0 is now available, featuring enhanced enterprise-readiness through capabilities like native support for array replication as well as support for business-critical applications such as Oracle Database with Real Application Clusters.

- VMware vRealize -- To further accelerate the delivery of infrastructure and applications, VMware has expanded the functionality of its integrated vRealize cloud management platform via the introduction of container management capabilities and support for Microsoft Azure as a dedicated endpoint. The newly available VMware vRealize Log Insight 4.0 features enhanced alert management and a redesigned user interface, while vRealize Operations 6.4 now delivers improved alert management and metric grouping, new customized dashboards, and predictive DRS for improved workload performance. Scheduled to become available later in Q4 2016, VMware vRealize Automation 7.2 will simplify hybrid cloud deployments with new out of the box support for Microsoft Azure. Additionally, it will enable IT to discover, deploy and manage containers throughout their environment with new container management capabilities. vRealize Automation 7.2 will also feature out of the box support for ServiceNow enabling vRealize Automation service catalog items to be accessed directly via ServiceNow.

- VMware Cloud Services -- VMware has expanded to include new Hybrid Cloud solutions for the enterprise. VMware has introduced the beta of a new vCloud Air disaster recovery solution and the beta of VMware Cloud Foundation on vCloud Air. These releases enable customers to gain cloud scale, agility, and flexibility with compatibility for a unified hybrid cloud experience. Learn more here.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.