Carbon Relay launched Red Sky Ops, an open source and enterprise AIOps platform for organizations using Kubernetes to deploy, scale and manage containerized applications.
With Red Sky Ops, DevOps teams can manage hundreds of interrelated application variables and unique configurations that have millions of potential combinations to automatically identify and implement the optimal settings for each application, on-premise or in any cloud environment.
Red Sky Ops expands Carbon Relay's product line using the same Red Sky platform as the company's first product, Red Sky Energy. Launched in January, Red Sky Energy enables data center operators to reduce their facilities' energy consumption to drive down costs and carbon emissions.
Red Sky Ops enhances application performance, reduces infrastructure costs and dramatically reduces the number of time-consuming alerts sent to DevOps teams. Red Sky Ops achieves this by using machine learning to study, replicate and stress-test application environments, and then proactively learn optimal configurations, schedules and resource allocations. It also works with the Kubernetes scheduler to take into account service requirements, policy constraints around hardware or software use, workload-specific issues and deadlines — all with minimal engineering involvement.
"Thousands of organizations have already committed to Kubernetes, but their developers, DevOps and NetOps teams struggle with the complexity of ensuring reliable and optimal application performance without over-provisioning infrastructure resources," said Matt Provo, co-founder and CEO of Carbon Relay. "The result is excessive operational cost and business and reputational risk from downtime caused by misconfigured apps. Red Sky Ops is the only solution to automatically learn, determine, implement and maintain optimal configurations and intelligently schedule and place resources in Kubernetes environments."
Red Sky Ops provides an intelligent and automated way to address Kubernetes and container complexity, boosting application performance, reducing costs and stopping alert floods for DevOps teams.
Red Sky Ops uses machine learning to drive major application performance gains and cost reductions in complex Kubernetes application environments. It proactively assesses all relevant factors to determine the best set of deployment choices and then automatically implement them, and recalculates on-the-fly to maintain top performance as conditions change.
With Red Sky Ops, organizations can increase operational performance by up to 50 percent while reducing operational costs associated with application management by up to 30 percent.
Carbon Relay is releasing Red Sky Ops as open source under the Apache v2 license. It includes the Red Sky Ops Kubernetes load balancer, controller, API services and authentication services. More information is available on GitHub or at Carbon Relay.
The enterprise version of Red Sky Ops adds deep reinforcement learning capabilities to continually train the AI agent, as well as automatic Kubernetes application configuration, data sharing, and advanced automation and scheduling capabilities.
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