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BMC Software and VCE Form Strategic Alliance

BMC Software and VCE have formed a strategic alliance that will combine the solutions of both companies to address the growing market demand for best-in-class converged infrastructures in cloud computing projects.

As IT departments adopt cloud at an ever-accelerating pace, the integration of the VCE Vblock Infrastructure Platform and BMC’s business-centric cloud management solutions will help joint customers for BMC and VCE automate their management of comprehensive cloud infrastructures.

As a part of the alliance, BMC and VCE will enhance the interoperability and integration of their products and work together to promote and offer their solutions in the market. Mutual customers include leading organizations such as Harris Corp., Telstra and QTS.

“Vblock platforms bring together best-of-breed technology from Cisco, EMC and VMware to enable rapid deployment of cloud applications using a converged infrastructure,” said Frank Hauck, President of VCE.

“By working closely with BMC, VCE is further simplifying and automating management processes for the benefit of our mutual customers. This will enable them to focus more of their attention and resources on using the cloud to deliver better IT services, faster and at lower costs than traditional data center models.”

In addition to integrating the orchestration capabilities of BMC’s Cloud Lifecycle Management solution, BMC and VCE will collaborate across other areas of the BMC Business Service Management platform including, for example, BMC’s ProactiveNet Performance Management Suite, which combines planning, predictive analytics and preventative automation for improved management of complex Vblock platform infrastructures.

“The ability of BMC’s cloud management solutions to orchestrate the full-stack provisioning of services and provide superior consistency through proactive performance and management functionality are unmatched within the marketplace,” said Paul Avenant, President of Enterprise Service Management (ESM) at BMC.

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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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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

BMC Software and VCE Form Strategic Alliance

BMC Software and VCE have formed a strategic alliance that will combine the solutions of both companies to address the growing market demand for best-in-class converged infrastructures in cloud computing projects.

As IT departments adopt cloud at an ever-accelerating pace, the integration of the VCE Vblock Infrastructure Platform and BMC’s business-centric cloud management solutions will help joint customers for BMC and VCE automate their management of comprehensive cloud infrastructures.

As a part of the alliance, BMC and VCE will enhance the interoperability and integration of their products and work together to promote and offer their solutions in the market. Mutual customers include leading organizations such as Harris Corp., Telstra and QTS.

“Vblock platforms bring together best-of-breed technology from Cisco, EMC and VMware to enable rapid deployment of cloud applications using a converged infrastructure,” said Frank Hauck, President of VCE.

“By working closely with BMC, VCE is further simplifying and automating management processes for the benefit of our mutual customers. This will enable them to focus more of their attention and resources on using the cloud to deliver better IT services, faster and at lower costs than traditional data center models.”

In addition to integrating the orchestration capabilities of BMC’s Cloud Lifecycle Management solution, BMC and VCE will collaborate across other areas of the BMC Business Service Management platform including, for example, BMC’s ProactiveNet Performance Management Suite, which combines planning, predictive analytics and preventative automation for improved management of complex Vblock platform infrastructures.

“The ability of BMC’s cloud management solutions to orchestrate the full-stack provisioning of services and provide superior consistency through proactive performance and management functionality are unmatched within the marketplace,” said Paul Avenant, President of Enterprise Service Management (ESM) at BMC.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...