Skip to main content

LogicMonitor and AppDirect Partner on Hybrid Observability

LogicMonitor announced a partnership with AppDirect to bring its hybrid observability capabilities to AppDirect's extensive network of IT service providers. 

"Veeue powered by AppDirect," a fully integrated, managed services solution built on LogicMonitor's Envision platform, enables IT service providers to enhance service delivery, streamline operations, and drive customer satisfaction through best-in-class Hybrid Observability powered by AI.

Through the AppDirect marketplace, Technology Advisors and Integrators have a powerful new resource to extend their service offerings with LogicMonitor Envision at the core of Veeue. This integration will extend cutting edge observability tools that provide a unified view into data centers, networks, and cloud systems to over 1,500 managed service provider (MSP) businesses. Equipped with real time, actionable insights and predictive analytics, organizations can proactively prevent downtime, optimize system performance, and fortify business-critical infrastructure.

"Veeue powered by AppDirect" integrates LogicMonitor's:

  • Predictive analytics and real-time insights into infrastructure health for advanced data center observability.
      
  • Network and multi-cloud monitoring to ensure seamless performance across complex hybrid environments from a single pane of glass view.
       
  • Actionable insights that power incident management and deliver business intelligence, enabling faster, data-driven decisions to minimize downtime and enhance operational efficiency.

"MSPs are the trusted IT partners keeping their operations running," said Renée Bergeron, Chief Operating Officer, AppDirect. "This collaboration with LogicMonitor marks an important evolution for AppDirect's community - equipping MSPs with Gen AI-powered tools to meet the demands of today's complex IT environments."

AppDirect is LogicMonitor's first Technology Service Distributor (TSD) partner, a new category of partnership for both companies. This partnership is designed to scale hybrid observability and managed services for MSPs, enabling them to provide their customers with unmatched visibility and resilience across complex infrastructures. Together, the companies are empowering MSPs to deliver proactive, AI-driven solutions that ensure uptime, performance, and seamless operations for businesses relying on their IT services.

"With this new partnership, we are proud to be setting a high standard for what's possible in managed IT services with AppDirect by our side—delivering critical monitoring and intelligence across the full spectrum of hybrid infrastructure," said Michael Tarbet, Global VP, MSP and Channel, LogicMonitor. "AppDirect's leadership in subscription commerce and their deep network of Technology Advisors and Integrators is the ideal match for LogicMonitor's industry-leading hybrid observability platform."

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 ...

LogicMonitor and AppDirect Partner on Hybrid Observability

LogicMonitor announced a partnership with AppDirect to bring its hybrid observability capabilities to AppDirect's extensive network of IT service providers. 

"Veeue powered by AppDirect," a fully integrated, managed services solution built on LogicMonitor's Envision platform, enables IT service providers to enhance service delivery, streamline operations, and drive customer satisfaction through best-in-class Hybrid Observability powered by AI.

Through the AppDirect marketplace, Technology Advisors and Integrators have a powerful new resource to extend their service offerings with LogicMonitor Envision at the core of Veeue. This integration will extend cutting edge observability tools that provide a unified view into data centers, networks, and cloud systems to over 1,500 managed service provider (MSP) businesses. Equipped with real time, actionable insights and predictive analytics, organizations can proactively prevent downtime, optimize system performance, and fortify business-critical infrastructure.

"Veeue powered by AppDirect" integrates LogicMonitor's:

  • Predictive analytics and real-time insights into infrastructure health for advanced data center observability.
      
  • Network and multi-cloud monitoring to ensure seamless performance across complex hybrid environments from a single pane of glass view.
       
  • Actionable insights that power incident management and deliver business intelligence, enabling faster, data-driven decisions to minimize downtime and enhance operational efficiency.

"MSPs are the trusted IT partners keeping their operations running," said Renée Bergeron, Chief Operating Officer, AppDirect. "This collaboration with LogicMonitor marks an important evolution for AppDirect's community - equipping MSPs with Gen AI-powered tools to meet the demands of today's complex IT environments."

AppDirect is LogicMonitor's first Technology Service Distributor (TSD) partner, a new category of partnership for both companies. This partnership is designed to scale hybrid observability and managed services for MSPs, enabling them to provide their customers with unmatched visibility and resilience across complex infrastructures. Together, the companies are empowering MSPs to deliver proactive, AI-driven solutions that ensure uptime, performance, and seamless operations for businesses relying on their IT services.

"With this new partnership, we are proud to be setting a high standard for what's possible in managed IT services with AppDirect by our side—delivering critical monitoring and intelligence across the full spectrum of hybrid infrastructure," said Michael Tarbet, Global VP, MSP and Channel, LogicMonitor. "AppDirect's leadership in subscription commerce and their deep network of Technology Advisors and Integrators is the ideal match for LogicMonitor's industry-leading hybrid observability platform."

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 ...