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Xangati Launches Solution Provider Partner Program

Xangati announced its global Solution Provider (XSP) Program targeted to VARs, managed service providers (MSPs), systems integrators (SIs) and solution providers (SPs) supporting virtualized and hybrid-cloud infrastructure for enterprise and public sector customers.

As the enterprise workforce becomes increasingly dispersed and companies are faced with the rise of virtualized datacenters and cloud infrastructures, the Xangati partner community enables enterprises to meet the demands of end-user service assurance.

XSP empowers partners to remarket and leverage Xangati dashboard software and is designed to help enterprise customers augment the comprehensive IT services and expertise they need in the infrastructure performance management category — from the channel community with which they’re accustomed to working.

Xangati’s strategic partnerships with Cisco, Citrix, VMware, Dell and NetApp ensure a greater degree of reliability that customers’ business goals are met by using performance dashboards that ensure SLAs are delivered.

XSP partners will also leverage a new subscription-pricing scheme for recurring revenue opportunities and global support from Xangati as part of software subscriptions sold through to customers.

The program offers the ability for partners to create assessment services and Day 2 operated managed services allowing a tight support loop with customers to solve their problems quickly and efficiently.

Highlights / Key Facts:

- Through the newly launched Solution Provider Program, Xangati is increasing profitable margins for partners that wrap services around Xangati’s robust end-to-end, second-by-second monitoring. Xangati’s dashboard service views provide the capability to manage capacity, performance, customer experience and efficiency to meet any business objectives, matching system performance to business goals.

- The Xangati Solution Provider program offers several ways for partners to engage with Xangati and enterprise customers — as a Premier SP level with minimum commitments for year one or as an Authorized SP and with internal use only and Not For Resell (NFR) licenses for every partner.

- Xangati offers cross-silo visibility and patented StormTracker technology, keeping partners ahead of bottlenecks. Well-capitalized with investors like Citrix, Xangati holds eight patents and benefits from strategic partnerships with prestigious companies such as Citrix, Cisco, NetApp, Dell, and VMware. Additionally, Xangati has successful deployments with over 400 customers worldwide.

- Xangati has made significant investments, including the appointment of industry veteran, Lauren Robinette, Director of Strategic Alliances & Channel Development, to run the XSP program. Lauren was recently named by Channel Reseller News (CRN) as one of the top 2015 Channel Chiefs and named to the 2014 Women of the Channel list.

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 ...

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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 ...

Xangati Launches Solution Provider Partner Program

Xangati announced its global Solution Provider (XSP) Program targeted to VARs, managed service providers (MSPs), systems integrators (SIs) and solution providers (SPs) supporting virtualized and hybrid-cloud infrastructure for enterprise and public sector customers.

As the enterprise workforce becomes increasingly dispersed and companies are faced with the rise of virtualized datacenters and cloud infrastructures, the Xangati partner community enables enterprises to meet the demands of end-user service assurance.

XSP empowers partners to remarket and leverage Xangati dashboard software and is designed to help enterprise customers augment the comprehensive IT services and expertise they need in the infrastructure performance management category — from the channel community with which they’re accustomed to working.

Xangati’s strategic partnerships with Cisco, Citrix, VMware, Dell and NetApp ensure a greater degree of reliability that customers’ business goals are met by using performance dashboards that ensure SLAs are delivered.

XSP partners will also leverage a new subscription-pricing scheme for recurring revenue opportunities and global support from Xangati as part of software subscriptions sold through to customers.

The program offers the ability for partners to create assessment services and Day 2 operated managed services allowing a tight support loop with customers to solve their problems quickly and efficiently.

Highlights / Key Facts:

- Through the newly launched Solution Provider Program, Xangati is increasing profitable margins for partners that wrap services around Xangati’s robust end-to-end, second-by-second monitoring. Xangati’s dashboard service views provide the capability to manage capacity, performance, customer experience and efficiency to meet any business objectives, matching system performance to business goals.

- The Xangati Solution Provider program offers several ways for partners to engage with Xangati and enterprise customers — as a Premier SP level with minimum commitments for year one or as an Authorized SP and with internal use only and Not For Resell (NFR) licenses for every partner.

- Xangati offers cross-silo visibility and patented StormTracker technology, keeping partners ahead of bottlenecks. Well-capitalized with investors like Citrix, Xangati holds eight patents and benefits from strategic partnerships with prestigious companies such as Citrix, Cisco, NetApp, Dell, and VMware. Additionally, Xangati has successful deployments with over 400 customers worldwide.

- Xangati has made significant investments, including the appointment of industry veteran, Lauren Robinette, Director of Strategic Alliances & Channel Development, to run the XSP program. Lauren was recently named by Channel Reseller News (CRN) as one of the top 2015 Channel Chiefs and named to the 2014 Women of the Channel list.

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 ...