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Broadcom Announces License Portability Support for VMware Cloud Foundation on Google Cloud VMware Engine

Broadcom and Google Cloud announced plans to support license portability of VMware Cloud Foundation to Google Cloud VMware Engine.

Customers will be able to purchase subscriptions of the new VMware Cloud Foundation software from Broadcom and flexibly use those subscriptions in Google Cloud VMware Engine, as well as their own on-prem data centers. Customers will retain the rights to the software subscription when deploying VMware Cloud Foundation on Google Cloud VMware Engine and have the ability to move their subscription between supported environments as desired.

VMware Cloud Foundation delivers a private cloud infrastructure that is ubiquitous, flexible and integrated across cloud endpoints. VMware customers that have already purchased and begun deploying VMware Cloud Foundation will be able to transfer the remaining value of an existing subscription to Google Cloud VMware Engine. Additionally, customers will be able to move their VMware Cloud Foundation subscription between on-prem and Google Cloud VMware Engine (and vice versa) as their needs and requirements evolve over time. In addition to bringing their own VMware Cloud Foundation licenses to Google Cloud VMware Engine, customers will continue to have the option to purchase a fully-integrated Google Cloud VMware Engine environment inclusive of VMware Cloud Foundation software directly from Google Cloud.

“VMware by Broadcom is adding new levels of flexibility, investment protection and lower TCO for VMware Cloud Foundation with support for license portability,” said Krish Prasad, GM, VMware Cloud Foundation division, Broadcom. “By running VMware Cloud Foundation on Google Cloud VMware Engine, customers benefit from a highly efficient cloud operating model that provides the scale and agility of public cloud with the security and performance of private cloud.”

“As the first public cloud partner to announce plans to support VMware Cloud Foundation license portability , Google Cloud remains committed to improving the simplicity and cost-effectiveness of our customers’ cloud migration and digital transformation initiatives,” said Mark Lohmeyer, VP and GM, Compute and ML Infrastructure at Google Cloud. “Through this model, our customers can realize the unique benefits of Google Cloud VMware Engine, such as four 9’s cluster-level uptime, deeply integrated networking and a unified Google experience along with the full portfolio of Google Cloud services across AI/ML, data analytics, security, and more.”

With VMware Cloud Foundation on Google Cloud VMware Engine, customers will be able to:

- Simplify infrastructure: seamlessly migrate virtual machines and workloads to Google Cloud and deeply integrate with Google's powerful networking architecture.

- Streamline operations: manage cloud-based resources using the same familiar VMware tools and resources, while also accessing native containerized applications; and benefit from a simple and unified Google Cloud experience, with integrated IAM and rapid self-service provisioning.

- Improve economics: increase capacity with lower OPEX by scaling workloads into Google Cloud Platform and paying only for resources as they are utilized and improve TCO by reducing capital equipment expenses and installation costs.

- Unlock insights: convert data into intelligent insights by utilizing Google Cloud services with Google Cloud VMware Engine, such as BigQuery, AI, and Machine Learning (ML) applications.

- Improve reliability and security: leverage industry-leading security with VMware NSX and Google Cloud, including private high-speed networking and dedicated cluster design, and enterprise-grade availability with 99.99% uptime and 100Gbps of dedicated east-west connectivity.

Broadcom and Google Cloud expect VMware Cloud Foundation license portability to Google Cloud VMware Engine to be available publicly in the second quarter of calendar year 2024.

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Broadcom Announces License Portability Support for VMware Cloud Foundation on Google Cloud VMware Engine

Broadcom and Google Cloud announced plans to support license portability of VMware Cloud Foundation to Google Cloud VMware Engine.

Customers will be able to purchase subscriptions of the new VMware Cloud Foundation software from Broadcom and flexibly use those subscriptions in Google Cloud VMware Engine, as well as their own on-prem data centers. Customers will retain the rights to the software subscription when deploying VMware Cloud Foundation on Google Cloud VMware Engine and have the ability to move their subscription between supported environments as desired.

VMware Cloud Foundation delivers a private cloud infrastructure that is ubiquitous, flexible and integrated across cloud endpoints. VMware customers that have already purchased and begun deploying VMware Cloud Foundation will be able to transfer the remaining value of an existing subscription to Google Cloud VMware Engine. Additionally, customers will be able to move their VMware Cloud Foundation subscription between on-prem and Google Cloud VMware Engine (and vice versa) as their needs and requirements evolve over time. In addition to bringing their own VMware Cloud Foundation licenses to Google Cloud VMware Engine, customers will continue to have the option to purchase a fully-integrated Google Cloud VMware Engine environment inclusive of VMware Cloud Foundation software directly from Google Cloud.

“VMware by Broadcom is adding new levels of flexibility, investment protection and lower TCO for VMware Cloud Foundation with support for license portability,” said Krish Prasad, GM, VMware Cloud Foundation division, Broadcom. “By running VMware Cloud Foundation on Google Cloud VMware Engine, customers benefit from a highly efficient cloud operating model that provides the scale and agility of public cloud with the security and performance of private cloud.”

“As the first public cloud partner to announce plans to support VMware Cloud Foundation license portability , Google Cloud remains committed to improving the simplicity and cost-effectiveness of our customers’ cloud migration and digital transformation initiatives,” said Mark Lohmeyer, VP and GM, Compute and ML Infrastructure at Google Cloud. “Through this model, our customers can realize the unique benefits of Google Cloud VMware Engine, such as four 9’s cluster-level uptime, deeply integrated networking and a unified Google experience along with the full portfolio of Google Cloud services across AI/ML, data analytics, security, and more.”

With VMware Cloud Foundation on Google Cloud VMware Engine, customers will be able to:

- Simplify infrastructure: seamlessly migrate virtual machines and workloads to Google Cloud and deeply integrate with Google's powerful networking architecture.

- Streamline operations: manage cloud-based resources using the same familiar VMware tools and resources, while also accessing native containerized applications; and benefit from a simple and unified Google Cloud experience, with integrated IAM and rapid self-service provisioning.

- Improve economics: increase capacity with lower OPEX by scaling workloads into Google Cloud Platform and paying only for resources as they are utilized and improve TCO by reducing capital equipment expenses and installation costs.

- Unlock insights: convert data into intelligent insights by utilizing Google Cloud services with Google Cloud VMware Engine, such as BigQuery, AI, and Machine Learning (ML) applications.

- Improve reliability and security: leverage industry-leading security with VMware NSX and Google Cloud, including private high-speed networking and dedicated cluster design, and enterprise-grade availability with 99.99% uptime and 100Gbps of dedicated east-west connectivity.

Broadcom and Google Cloud expect VMware Cloud Foundation license portability to Google Cloud VMware Engine to be available publicly in the second quarter of calendar year 2024.

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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 ...