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Ivanti Partners with Huawei

Ivanti and Huawei announced the signing of a memorandum of understanding (MoU) for a partnership that will address the increasing security and service demands of the companies’ multinational customers.

This agreement marks a significant partnership for Ivanti as Huawei becomes a key Ivanti partner for transnational large-scale integration projects supporting global IT enterprises and their digital transformation goals.

Terms of the partnership enable Huawei to leverage Ivanti® Unified Endpoint Manager and Endpoint Security for Endpoint Manager to enhance governance and control of the Huawei CloudCampus access control system, which delivers fine-grained user group management policies. By leveraging these Ivanti unified endpoint management (UEM) and security products, Ivanti and Huawei will work together to provide a seamless user experience through technology integration and delivery.

The partnership also enables Ivanti, through Huawei Enterprise Service, to deliver broad, efficient services for multinational enterprises, as they enact their digital transformation strategies.

“Like Ivanti, Huawei has a global vision to power multinational customers’ digital transformation goals with unprecedented security and efficiency,” said Steve Daly, CEO and Chairman of the Board, Ivanti. “We are honored to partner with Huawei in this win-win agreement, which will result in improved security and service availability for our mutual customers.”

“Ivanti and Huawei see the potential of unified endpoint management with integrated endpoint security in the market,” said Lianhe Wu, VP, Switch & Enterprise Gateway Line, Huawei. “As influencers in their respective technical fields, they will promote the technological growth of these solutions, and bring more advanced, mature, and diversified solutions to more customers of Huawei, while growing greater customer marketshare.”

Ivanti's unified IT solutions, together with Huawei’s services and resources, will enable the rapid transformation of IT while optimizing alignment between IT and the business.

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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 ...

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 ...

Ivanti Partners with Huawei

Ivanti and Huawei announced the signing of a memorandum of understanding (MoU) for a partnership that will address the increasing security and service demands of the companies’ multinational customers.

This agreement marks a significant partnership for Ivanti as Huawei becomes a key Ivanti partner for transnational large-scale integration projects supporting global IT enterprises and their digital transformation goals.

Terms of the partnership enable Huawei to leverage Ivanti® Unified Endpoint Manager and Endpoint Security for Endpoint Manager to enhance governance and control of the Huawei CloudCampus access control system, which delivers fine-grained user group management policies. By leveraging these Ivanti unified endpoint management (UEM) and security products, Ivanti and Huawei will work together to provide a seamless user experience through technology integration and delivery.

The partnership also enables Ivanti, through Huawei Enterprise Service, to deliver broad, efficient services for multinational enterprises, as they enact their digital transformation strategies.

“Like Ivanti, Huawei has a global vision to power multinational customers’ digital transformation goals with unprecedented security and efficiency,” said Steve Daly, CEO and Chairman of the Board, Ivanti. “We are honored to partner with Huawei in this win-win agreement, which will result in improved security and service availability for our mutual customers.”

“Ivanti and Huawei see the potential of unified endpoint management with integrated endpoint security in the market,” said Lianhe Wu, VP, Switch & Enterprise Gateway Line, Huawei. “As influencers in their respective technical fields, they will promote the technological growth of these solutions, and bring more advanced, mature, and diversified solutions to more customers of Huawei, while growing greater customer marketshare.”

Ivanti's unified IT solutions, together with Huawei’s services and resources, will enable the rapid transformation of IT while optimizing alignment between IT and the business.

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 ...