Carbon Relay, a startup focused on app efficiency in Kubernetes environments, has announced a free and self-service edition of Red Sky Ops, its AIOps platform for automatically configuring and continuously optimizing containerized applications.
Launched in July 2019, Red Sky Ops aims to enhance application performance, reduce infrastructure costs, and eliminate the need for manual optimization by DevOps, networking, and IT professionals in Kubernetes environments.
Red Sky Ops uses machine learning to study, replicate, and stress-test application environments, and then proactively learn and deploy optimal configurations, schedules, and resource allocations. It 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.
“Kubernetes has quickly become the container orchestration platform of choice for many organizations due to its power and versatility. But frequent, manual tuning and excessive alerting are impeding Kubernetes initiatives with DevOps teams struggling to ensure reliable and optimal application performance without over-provisioning resources,” said Matt Provo, co-founder and CEO of Carbon Relay. “Launching a free and self-service version of our AIOps solution will make the promise of Kubernetes far more accessible, help more organizations accelerate and automate optimized application performance, and free their most talented technologists for more strategic initiatives.”
Carbon Relay released 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. For more information, go to www.carbonrelay.com.