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LogicMonitor Partners With Proact

LogicMonitor announced its partnership with Proact IT Group AB.

Headquartered in Stockholm, Sweden, Proact is a trusted IT service provider across 15 European and North American countries. As an IT solutions specialist, Proact sought a solution that could help them optimize their clients’ comprehensive IT environments and leverage AI and machine learning to predict and prevent issues before they negatively impacted the broader business. After a rigorous assessment, Proact chose to partner with LogicMonitor due to its AIOps capabilities that both enhance business performance and prevent disruptive and costly downtime.

“...It’s a new mindset within IT operations where machine learning is applied to collected data to predict what will happen within certain environments,” says Per Sedihn, Proact’s CTO and VP of Portfolio and Technology. “With LogicMonitor, Proact is now able to improve our reactive support and provide even more proactive maintenance. Customers benefit because insights surfaced will be used to prevent incidents from occurring in the first place and to provide optimization that leads to performance and efficiency gains.”

By adding LogicMonitor’s monitoring and observability platform to their solutions portfolio, Proact gains the ability to automatically discover and monitor thousands of technologies within their customers’ multicloud environments; identify performance irregularities in real-time; and provide forward-looking recommendations based on intelligent data forecasting.

“LogicMonitor continues to evolve its partner strategy to focus not only on global expansion, but also on hyper-localization. In the wake of the pandemic, many enterprises have turned to local organizations with market leading expertise to address their business needs,” said Sanjay Gupta, Global VP of Channels and Alliances at LogicMonitor. “We recognize the power in aligning with companies that not only have a global footprint but also established trust within their local markets. Partnering with Proact extends LogicMonitor’s availability via a trusted global IT managed services provider who has strong local ties within their key markets.”

The LogicMonitor Partner Network empowers members such as Proact to expand their company’s offerings and profit margins by providing LogicMonitor’s best-in-class monitoring and observability platform as a managed service. Partner Network members are also given access to exclusive training and certification programs, sales and marketing collaboration, dedicated partner managers, and much more once they join the exclusive network.

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LogicMonitor Partners With Proact

LogicMonitor announced its partnership with Proact IT Group AB.

Headquartered in Stockholm, Sweden, Proact is a trusted IT service provider across 15 European and North American countries. As an IT solutions specialist, Proact sought a solution that could help them optimize their clients’ comprehensive IT environments and leverage AI and machine learning to predict and prevent issues before they negatively impacted the broader business. After a rigorous assessment, Proact chose to partner with LogicMonitor due to its AIOps capabilities that both enhance business performance and prevent disruptive and costly downtime.

“...It’s a new mindset within IT operations where machine learning is applied to collected data to predict what will happen within certain environments,” says Per Sedihn, Proact’s CTO and VP of Portfolio and Technology. “With LogicMonitor, Proact is now able to improve our reactive support and provide even more proactive maintenance. Customers benefit because insights surfaced will be used to prevent incidents from occurring in the first place and to provide optimization that leads to performance and efficiency gains.”

By adding LogicMonitor’s monitoring and observability platform to their solutions portfolio, Proact gains the ability to automatically discover and monitor thousands of technologies within their customers’ multicloud environments; identify performance irregularities in real-time; and provide forward-looking recommendations based on intelligent data forecasting.

“LogicMonitor continues to evolve its partner strategy to focus not only on global expansion, but also on hyper-localization. In the wake of the pandemic, many enterprises have turned to local organizations with market leading expertise to address their business needs,” said Sanjay Gupta, Global VP of Channels and Alliances at LogicMonitor. “We recognize the power in aligning with companies that not only have a global footprint but also established trust within their local markets. Partnering with Proact extends LogicMonitor’s availability via a trusted global IT managed services provider who has strong local ties within their key markets.”

The LogicMonitor Partner Network empowers members such as Proact to expand their company’s offerings and profit margins by providing LogicMonitor’s best-in-class monitoring and observability platform as a managed service. Partner Network members are also given access to exclusive training and certification programs, sales and marketing collaboration, dedicated partner managers, and much more once they join the exclusive network.

The Latest

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

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 ...