Skip to main content

Circonus Partners with Cloudbakers

Circonus and Cloudbakers announced an exclusive partnership in which Cloudbakers will serve as the Google Cloud Platform reseller for Circonus, and Circonus will serve as the exclusive provider of GCP monitoring and analytics to Cloudbakers’ customers. Cloudbakers’ GCP expertise coupled with Circonus’ powerful monitoring capabilities empower companies to more effectively optimize the health and performance of their entire GCP infrastructures. Cloudbakers, a recent winner of the Google Cloud Expansion Partner of the Year Award for North America, has experienced strong organic growth over the past decade while transforming hundreds of organizations with cloud-based data, application, and infrastructure modernization offerings. Cloudbakers’ blend of technical skills and people skills helps clients adapt to the ever changing digital landscape, modernize their applications, and do so in a practical, cost effective manner. Cloudbakers “brings the cloud down to earth” for their clients. Circonus’ advanced analytics and monitoring platform enables real-time visibility of the behavior, health, trends, and performance of all applications, infrastructure, and containers in one unified platform. Built on a performant and proven time series database, the platform ingests, analyzes, and visualizes massive amounts of time-series data and provides unlimited scale, retention, storage. Circonus’ GCP monitoring solution includes a lightweight cloud agent to easily collect metrics from GCP, as well as in-application dashboards. Regardless of size, Circonus gives companies visibility of their entire GCP environment in real time. To quickly identify and resolve issues, customers can view anomalies; find disruptions, bottlenecks, and latencies; and recognize performance patterns. “Organizations trust and rely on Cloudbakers to help them more easily achieve their most cost-effective and best-performing GCP environment. Successfully realizing this requires a combination of our GCP expertise along with the best technology solutions, and that’s why we’re excited to partner with Circonus,” said Alan Miller, VP Google Cloud Sales at Cloudbakers. “We realized that Circonus’ monitoring and analytics platform would give our customers the power, visibility, and flexibility they need to ensure the health and performance of their entire GCP infrastructures.” “We’re seeing a significant acceleration of organizations moving their on-premises IT infrastructure to the public cloud,” said Jason Bobb, VP Sales at Circonus. “But the cloud is complex, and most organizations can’t realize its full benefits without expert help. With a decade of experience and fluency in the Google ecosystem, Cloudbakers is extremely well positioned to help organizations successfully navigate their GCP journeys. It was clear to us that their deep GCP knowledge and focus on customer satisfaction make them a valuable partner to Circonus.”

The Latest

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 ...

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.

Circonus Partners with Cloudbakers

Circonus and Cloudbakers announced an exclusive partnership in which Cloudbakers will serve as the Google Cloud Platform reseller for Circonus, and Circonus will serve as the exclusive provider of GCP monitoring and analytics to Cloudbakers’ customers. Cloudbakers’ GCP expertise coupled with Circonus’ powerful monitoring capabilities empower companies to more effectively optimize the health and performance of their entire GCP infrastructures. Cloudbakers, a recent winner of the Google Cloud Expansion Partner of the Year Award for North America, has experienced strong organic growth over the past decade while transforming hundreds of organizations with cloud-based data, application, and infrastructure modernization offerings. Cloudbakers’ blend of technical skills and people skills helps clients adapt to the ever changing digital landscape, modernize their applications, and do so in a practical, cost effective manner. Cloudbakers “brings the cloud down to earth” for their clients. Circonus’ advanced analytics and monitoring platform enables real-time visibility of the behavior, health, trends, and performance of all applications, infrastructure, and containers in one unified platform. Built on a performant and proven time series database, the platform ingests, analyzes, and visualizes massive amounts of time-series data and provides unlimited scale, retention, storage. Circonus’ GCP monitoring solution includes a lightweight cloud agent to easily collect metrics from GCP, as well as in-application dashboards. Regardless of size, Circonus gives companies visibility of their entire GCP environment in real time. To quickly identify and resolve issues, customers can view anomalies; find disruptions, bottlenecks, and latencies; and recognize performance patterns. “Organizations trust and rely on Cloudbakers to help them more easily achieve their most cost-effective and best-performing GCP environment. Successfully realizing this requires a combination of our GCP expertise along with the best technology solutions, and that’s why we’re excited to partner with Circonus,” said Alan Miller, VP Google Cloud Sales at Cloudbakers. “We realized that Circonus’ monitoring and analytics platform would give our customers the power, visibility, and flexibility they need to ensure the health and performance of their entire GCP infrastructures.” “We’re seeing a significant acceleration of organizations moving their on-premises IT infrastructure to the public cloud,” said Jason Bobb, VP Sales at Circonus. “But the cloud is complex, and most organizations can’t realize its full benefits without expert help. With a decade of experience and fluency in the Google ecosystem, Cloudbakers is extremely well positioned to help organizations successfully navigate their GCP journeys. It was clear to us that their deep GCP knowledge and focus on customer satisfaction make them a valuable partner to Circonus.”

The Latest

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 ...

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.