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.”
The Latest
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...
In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...
Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
