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Circonus Partners with StormForge on Kubernetes Performance

Circonus and StormForge announced a partnership to offer combined solutions. The companies' complementary Kubernetes offerings empower customers to improve performance, minimize downtime, and reduce costs. Circonus’ Kubernetes monitoring solution enables users to immediately surface actionable insights into the health and performance of their clusters. Customers can install the solution in minutes, and turnkey alerting and dashboards are available out-of-the-box with zero set-up or configuration required. Purpose-built for Kubernetes, the Circonus Kubernetes monitoring solution provides health-check insights such as crash loops, job and volume failures, and pod pending delays. Alerts instantly send notifications when clusters become unhealthy, and guided issue remediation pinpoints root causes to speed problem resolution. StormForge, formerly known as Carbon Relay, combines cloud-native performance testing with machine-learning powered optimization to help DevOps teams proactively ensure performance, reliability, and cost-efficiency. The StormForge Platform uses machine learning to automatically test, analyze, and optimize Kubernetes applications based on your cost and performance goals. The StormForge Platform can be integrated into an organization’s CI/CD workflow to build automated, continuous performance testing and optimization into the release process. The result is the highest and most reliable performance possible at the lowest costs. StormForge’s proactive optimization coupled with Circonus’s health and performance monitoring enable a full lifecycle of Kubernetes performance and cost optimization. Organizations can use StormForge’s predictive intelligence to proactively minimize risk and issues, and then feed analytics from Circonus into StormForge’s machine learning for ongoing performance predictions and optimization. Key benefits of the combined solutions include: - Improve performance: Proactive performance testing and ongoing health-check monitoring together minimize the number of potential issues and maximize performance for end users. - Reduce cloud costs: Predictive intelligence and resource utilization analysis can significantly lower Kubernetes costs. - Improve operational efficiency: Speed DevOps workflows while also reducing alerts, downtime, and mean time to resolution (MTTR). - Simplify the complexities of Kubernetes: Automated optimization and turnkey monitoring removes many of the time-consuming complexities of Kubernetes. Matt Provo, CEO, StormForge, said: “We immediately realized that Circonus and StormForge took a similar approach to our solutions, which is to help companies optimize their Kubernetes performance in a way that’s easy and efficient. We remove the complexities of Kubernetes and together provide a complete, ongoing circle of Kubernetes performance and cost optimization, making it easier for companies to fully realize the benefits Kubernetes offers.” Bob Moul, CEO, Circonus, added: “Combining the powerful monitoring and rich telemetry data of Circonus with the magic of AI and machine learning from StormForge delivers total operational clarity and predictable cost and performance to Kubernetes deployments.”

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Circonus Partners with StormForge on Kubernetes Performance

Circonus and StormForge announced a partnership to offer combined solutions. The companies' complementary Kubernetes offerings empower customers to improve performance, minimize downtime, and reduce costs. Circonus’ Kubernetes monitoring solution enables users to immediately surface actionable insights into the health and performance of their clusters. Customers can install the solution in minutes, and turnkey alerting and dashboards are available out-of-the-box with zero set-up or configuration required. Purpose-built for Kubernetes, the Circonus Kubernetes monitoring solution provides health-check insights such as crash loops, job and volume failures, and pod pending delays. Alerts instantly send notifications when clusters become unhealthy, and guided issue remediation pinpoints root causes to speed problem resolution. StormForge, formerly known as Carbon Relay, combines cloud-native performance testing with machine-learning powered optimization to help DevOps teams proactively ensure performance, reliability, and cost-efficiency. The StormForge Platform uses machine learning to automatically test, analyze, and optimize Kubernetes applications based on your cost and performance goals. The StormForge Platform can be integrated into an organization’s CI/CD workflow to build automated, continuous performance testing and optimization into the release process. The result is the highest and most reliable performance possible at the lowest costs. StormForge’s proactive optimization coupled with Circonus’s health and performance monitoring enable a full lifecycle of Kubernetes performance and cost optimization. Organizations can use StormForge’s predictive intelligence to proactively minimize risk and issues, and then feed analytics from Circonus into StormForge’s machine learning for ongoing performance predictions and optimization. Key benefits of the combined solutions include: - Improve performance: Proactive performance testing and ongoing health-check monitoring together minimize the number of potential issues and maximize performance for end users. - Reduce cloud costs: Predictive intelligence and resource utilization analysis can significantly lower Kubernetes costs. - Improve operational efficiency: Speed DevOps workflows while also reducing alerts, downtime, and mean time to resolution (MTTR). - Simplify the complexities of Kubernetes: Automated optimization and turnkey monitoring removes many of the time-consuming complexities of Kubernetes. Matt Provo, CEO, StormForge, said: “We immediately realized that Circonus and StormForge took a similar approach to our solutions, which is to help companies optimize their Kubernetes performance in a way that’s easy and efficient. We remove the complexities of Kubernetes and together provide a complete, ongoing circle of Kubernetes performance and cost optimization, making it easier for companies to fully realize the benefits Kubernetes offers.” Bob Moul, CEO, Circonus, added: “Combining the powerful monitoring and rich telemetry data of Circonus with the magic of AI and machine learning from StormForge delivers total operational clarity and predictable cost and performance to Kubernetes deployments.”

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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