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Moogsoft Celebrates 10 Years

Moogsoft announced significant 2021 milestones as it reaches 10 years in business.

Moogsoft is a pioneer of AIOps and continues to be a category leader, which is validated through recent growth, award wins and new customer momentum.

In 2021, Moogsoft secured two significant award wins, named in CRN’s “Coolest Cloud Monitoring and Management” top 20 list and the winner of the Cloud Awards’s “Best Use of AI in Cloud Computing.” Moogsoft also earned finalist placements with the DevOps Excellence award for “Best AIOps/MLOps Tool” and the SIIA CODiE Award.

“Over the past 10 years, we have hustled, worked and fought to create the AIOps category, and now we are bringing the technology mainstream as it becomes essential to digital enterprise availability and innovation,” said Phil Tee, CEO and founder of Moogsoft. “These award wins are a testament to our ongoing commitment to providing an innovative product that makes a difference for our users.”

To accompany significant industry recognition, Moogsoft also posted impressive growth in hiring, internal promotions and customer wins. In Q4 alone, Moogsoft experienced 20% employee growth as well as building internal career mobility with 16 promotions throughout the last year to bolster senior leadership.

From a customer growth perspective, Moogsoft quadrupled its revenue growth, landing contracts with a top-10 international bank and top-five telecommunications provider. After launching its new cloud product in late 2020, the company won its largest cloud deal, valued in the mid-six figure range, and grew their cloud customer logo count by over 150%.

“When I look back on the past year with Moogsoft, one word comes to mind: remarkable,” said Minami Coirin Rojas, VP of growth and marketing at Moogsoft. “We have made significant strides in internal company growth and external customer relationships, and this hard work is being recognized by key entities. While 2021 was a standout year for our team, we aren’t done yet. We are committed to continuing innovation, providing a seamless experience and empowering our customers on their path to continuous availability.”

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Moogsoft Celebrates 10 Years

Moogsoft announced significant 2021 milestones as it reaches 10 years in business.

Moogsoft is a pioneer of AIOps and continues to be a category leader, which is validated through recent growth, award wins and new customer momentum.

In 2021, Moogsoft secured two significant award wins, named in CRN’s “Coolest Cloud Monitoring and Management” top 20 list and the winner of the Cloud Awards’s “Best Use of AI in Cloud Computing.” Moogsoft also earned finalist placements with the DevOps Excellence award for “Best AIOps/MLOps Tool” and the SIIA CODiE Award.

“Over the past 10 years, we have hustled, worked and fought to create the AIOps category, and now we are bringing the technology mainstream as it becomes essential to digital enterprise availability and innovation,” said Phil Tee, CEO and founder of Moogsoft. “These award wins are a testament to our ongoing commitment to providing an innovative product that makes a difference for our users.”

To accompany significant industry recognition, Moogsoft also posted impressive growth in hiring, internal promotions and customer wins. In Q4 alone, Moogsoft experienced 20% employee growth as well as building internal career mobility with 16 promotions throughout the last year to bolster senior leadership.

From a customer growth perspective, Moogsoft quadrupled its revenue growth, landing contracts with a top-10 international bank and top-five telecommunications provider. After launching its new cloud product in late 2020, the company won its largest cloud deal, valued in the mid-six figure range, and grew their cloud customer logo count by over 150%.

“When I look back on the past year with Moogsoft, one word comes to mind: remarkable,” said Minami Coirin Rojas, VP of growth and marketing at Moogsoft. “We have made significant strides in internal company growth and external customer relationships, and this hard work is being recognized by key entities. While 2021 was a standout year for our team, we aren’t done yet. We are committed to continuing innovation, providing a seamless experience and empowering our customers on their path to continuous availability.”

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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 ...