Skip to main content

LogicMonitor Adds AIS to Global Partner Network

LogicMonitor announced its partnership with AIS Advanced Information Systems, a Mexico provider of comprehensive IT management solutions.

“We are extremely pleased to bring AIS onboard as a LogicMonitor reseller for Mexico. Having partners with world-class expertise in IT infrastructure and business service management is fundamental to expanding our presence globally,” said Sanjay Gupta, Global VP of Channels & Alliances at LogicMonitor. “AIS is one of the region’s most innovative solution providers and has a proven track record of delivering for their customers. We look forward to working with the AIS team and supporting their customers with monitoring solutions that help their businesses thrive.”

AIS offers high-quality IT management solutions and services that allow its clients to improve the profitability and competitiveness of their business. Through this partnership, LogicMonitor is delivering its best-in-class monitoring intelligence platform to complement AIS’s portfolio of services, assisting them in addressing the booming $47 billion market for IT infrastructure products for the cloud.

LogicMonitor’s entrance into the Mexican and Latin American markets comes at a time of massive growth in connectivity and digital transformation in the region. With Mexico predicted to reach 100 million daily internet users by 2023, according to Statista, the need for easy and effective infrastructure monitoring is more important than ever for enterprise IT operations. This partnership will bring the power of LogicMonitor’s platform to a new region and more customers, empowering businesses in Latin America to optimize their processes with ease.

“Today’s IT environments are more complex than ever before, and LogicMonitor’s platform is the perfect tool to help our customers take back control of their IT infrastructure,” said Lorena Mendoza CEO of AIS. “The fully automated, full-stack platform provides visibility into every component of an organization’s infrastructure through a single pane of glass and is the best solution for monitoring and optimizing IT environments. We’re very excited to be working with LogicMonitor and proud to bring this solution to the region.”

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 ...

LogicMonitor Adds AIS to Global Partner Network

LogicMonitor announced its partnership with AIS Advanced Information Systems, a Mexico provider of comprehensive IT management solutions.

“We are extremely pleased to bring AIS onboard as a LogicMonitor reseller for Mexico. Having partners with world-class expertise in IT infrastructure and business service management is fundamental to expanding our presence globally,” said Sanjay Gupta, Global VP of Channels & Alliances at LogicMonitor. “AIS is one of the region’s most innovative solution providers and has a proven track record of delivering for their customers. We look forward to working with the AIS team and supporting their customers with monitoring solutions that help their businesses thrive.”

AIS offers high-quality IT management solutions and services that allow its clients to improve the profitability and competitiveness of their business. Through this partnership, LogicMonitor is delivering its best-in-class monitoring intelligence platform to complement AIS’s portfolio of services, assisting them in addressing the booming $47 billion market for IT infrastructure products for the cloud.

LogicMonitor’s entrance into the Mexican and Latin American markets comes at a time of massive growth in connectivity and digital transformation in the region. With Mexico predicted to reach 100 million daily internet users by 2023, according to Statista, the need for easy and effective infrastructure monitoring is more important than ever for enterprise IT operations. This partnership will bring the power of LogicMonitor’s platform to a new region and more customers, empowering businesses in Latin America to optimize their processes with ease.

“Today’s IT environments are more complex than ever before, and LogicMonitor’s platform is the perfect tool to help our customers take back control of their IT infrastructure,” said Lorena Mendoza CEO of AIS. “The fully automated, full-stack platform provides visibility into every component of an organization’s infrastructure through a single pane of glass and is the best solution for monitoring and optimizing IT environments. We’re very excited to be working with LogicMonitor and proud to bring this solution to the region.”

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 ...