VMware launched VMware Partner Connect, the new simplified and flexible program designed to enable partners to do business with VMware in a way that aligns with their business models.
VMware Partner Connect empowers partners with flexibility to meet customers’ needs, making VMware technologies and services opportunities more accessible. Partners now have an enhanced experience that delivers simplicity, choice and innovation, and recognizes and rewards partners based on the value they bring to customers.
“VMware Partner Connect reimagines the way we do business with and for our partners, helping them drive differentiated customer success and digital transformation,” said Jenni Flinders, VP and Worldwide Channel Chief, VMware. “We designed Partner Connect with our customers in mind, and the idea that they should feel confident when choosing to go with a VMware partner. And this is just the beginning, as Partner Connect continues to evolve to deliver new and better ways for our partners to grow their businesses.”
VMware Partner Connect now offers three tiers: Partner, Advanced Partner, and Principal Partner. Hundreds of partners have been designated Principal Partners at today’s launch. These partners can help customers identify and implement ideal VMware solutions, as evidenced by achievement of Master Services Competencies across different strategic IT priorities. These Principal Partners also earn comprehensive rewards, including deployment and consumption incentives and prioritization for collaborative business planning and co-selling opportunities with VMware.
Enhancements include:
- an Incentives and Development Funds portal, which provides enhanced dashboards and improved visibility for partners to track their activity with VMware,
- a new VMware Learning Zone, which provides a wide variety of content, including the ability to customize learning plans based on individual partner preferences, and an overall improved partner experience.
Partner Connect will continue to evolve based on industry changes, changes in customer buying behaviors, and to support emerging partner business models. In the months ahead, VMware plans to integrate partner programs from new VMware products, including VeloCloud and recently-acquired VMware businesses, VMware Carbon Black and Pivotal.
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
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 ...