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VMware Cross-Cloud Services Now Available on Oracle Cloud Marketplace

VMware announced that VMware Cross-Cloud services are available to customers through the Oracle Cloud Marketplace.

VMware customers can take advantage of Oracle Cloud Infrastructure (OCI) with VMware Cross-Cloud services to migrate and operate applications on OCI more efficiently, innovate faster, and improve resiliency.

Oracle Cloud Marketplace is a one-stop shop for Oracle customers seeking trusted business applications and services offering unique solutions, including ones that extend Oracle Fusion Cloud Applications.

VMware Cross-Cloud services is a family of multi-cloud services customers can use to build, run, and manage applications on OCI. Organizations can now use their existing Oracle Universal Credits to consume VMware Cross-Cloud services through private offers to modernize their mission-critical enterprise apps on OCI. For customers, this offers a quicker and painless path to the cloud. The following VMware Cross-Cloud services are available immediately in Oracle Cloud Marketplace:

- VMware Tanzu: a modular application platform for developing, operating and optimizing modern apps on multi-cloud infrastructure. Tanzu offerings currently available in the marketplace include VMware Tanzu Mission Control Self-Managed, VMware Tanzu Kubernetes Grid and VMware Tanzu Application Service.

- VMware Aria: a multi-cloud management portfolio that provides a set of end-to-end solutions for managing the cost, performance, configuration, and delivery of infrastructure and applications. Aria offerings currently available in the marketplace include VMware Aria Universal Suite and VMware Aria Operations for Networks.

- VMware Site Recovery Manager (SRM): an on-demand disaster recovery-as-a-service solution that protects critical data and apps while delivering cloud flexibility and economics.

“Today marks another step in the continued evolution of the VMware and Oracle partnership as together we help customers in their continued transition to the cloud,” said Abhay Kumar, vice president, hyperscalers, and technology partners, VMware. “Building on our announcement that Oracle Cloud VMware Solution is available to customers through our VMware Cloud Universal program, we are now making it easier for customers to accelerate app and cloud modernization initiatives using their existing, pre-approved IT budgets to purchase VMware Cross-Cloud services via the Oracle Cloud Marketplace.”

Chris Sullivan, vice president, Strategic Partnerships, Oracle, said, “Our continued collaboration underscores our shared commitment to delivering tremendous value to our customers by providing an even more comprehensive suite of VMware solutions. We look forward to the exciting possibilities that lie ahead.”

OCI is a deep and broad platform of cloud infrastructure services that enables customers to build and run a wide range of applications in a scalable, secure, highly available, and high-performance environment. From application development and business analytics to data management, integration, security, AI, and infrastructure services including Kubernetes and VMware, OCI delivers comprehensive security, performance, and cost savings. In addition, with multicloud, hybrid cloud, public cloud, and dedicated cloud options, OCI’s distributed cloud offers customers the benefits of cloud with greater control over data residency, locality, and authority, even across multiple clouds. As a result, customers can bring enterprise workloads to the cloud quickly and efficiently while meeting the strictest regulatory compliance requirements.

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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 ...

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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 Cross-Cloud Services Now Available on Oracle Cloud Marketplace

VMware announced that VMware Cross-Cloud services are available to customers through the Oracle Cloud Marketplace.

VMware customers can take advantage of Oracle Cloud Infrastructure (OCI) with VMware Cross-Cloud services to migrate and operate applications on OCI more efficiently, innovate faster, and improve resiliency.

Oracle Cloud Marketplace is a one-stop shop for Oracle customers seeking trusted business applications and services offering unique solutions, including ones that extend Oracle Fusion Cloud Applications.

VMware Cross-Cloud services is a family of multi-cloud services customers can use to build, run, and manage applications on OCI. Organizations can now use their existing Oracle Universal Credits to consume VMware Cross-Cloud services through private offers to modernize their mission-critical enterprise apps on OCI. For customers, this offers a quicker and painless path to the cloud. The following VMware Cross-Cloud services are available immediately in Oracle Cloud Marketplace:

- VMware Tanzu: a modular application platform for developing, operating and optimizing modern apps on multi-cloud infrastructure. Tanzu offerings currently available in the marketplace include VMware Tanzu Mission Control Self-Managed, VMware Tanzu Kubernetes Grid and VMware Tanzu Application Service.

- VMware Aria: a multi-cloud management portfolio that provides a set of end-to-end solutions for managing the cost, performance, configuration, and delivery of infrastructure and applications. Aria offerings currently available in the marketplace include VMware Aria Universal Suite and VMware Aria Operations for Networks.

- VMware Site Recovery Manager (SRM): an on-demand disaster recovery-as-a-service solution that protects critical data and apps while delivering cloud flexibility and economics.

“Today marks another step in the continued evolution of the VMware and Oracle partnership as together we help customers in their continued transition to the cloud,” said Abhay Kumar, vice president, hyperscalers, and technology partners, VMware. “Building on our announcement that Oracle Cloud VMware Solution is available to customers through our VMware Cloud Universal program, we are now making it easier for customers to accelerate app and cloud modernization initiatives using their existing, pre-approved IT budgets to purchase VMware Cross-Cloud services via the Oracle Cloud Marketplace.”

Chris Sullivan, vice president, Strategic Partnerships, Oracle, said, “Our continued collaboration underscores our shared commitment to delivering tremendous value to our customers by providing an even more comprehensive suite of VMware solutions. We look forward to the exciting possibilities that lie ahead.”

OCI is a deep and broad platform of cloud infrastructure services that enables customers to build and run a wide range of applications in a scalable, secure, highly available, and high-performance environment. From application development and business analytics to data management, integration, security, AI, and infrastructure services including Kubernetes and VMware, OCI delivers comprehensive security, performance, and cost savings. In addition, with multicloud, hybrid cloud, public cloud, and dedicated cloud options, OCI’s distributed cloud offers customers the benefits of cloud with greater control over data residency, locality, and authority, even across multiple clouds. As a result, customers can bring enterprise workloads to the cloud quickly and efficiently while meeting the strictest regulatory compliance requirements.

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.