Kubernetes holds great promise as a flexible platform for running scalable, highly available cloud-native workloads. But that flexibility brings with it complexity. Each container you run has multiple parameters that affect performance, stability, and cost. Multiply that by the number of containers in your environment and you have complexity that is way beyond human ability to manage.
Monitoring and observability tools, while critical for operations, are reactive by design. By the time you detect a problem, your user has already had a poor experience.
The solution? Proactive, intelligent optimization with Red Sky Ops from Carbon Relay. Red Sky Ops uses machine learning to automatically test, analyze, and optimize your Kubernetes applications based on your goals. Whether you want to optimize on cost, performance, or any other metric, Red Sky Ops does it automatically, so you can release with confidence.
The Red Sky Ops Platform uses machine learning to drive major application performance gains and cost reductions in complex environments.
Uniquely proactive, they continually assess all relevant factors to determine the best set of deployment choices and then automatically implement them. They also recalculate on-the-fly to maintain top performance as conditions change.
The result is the highest and most reliable performance possible at the lowest costs – without all those useless alerts.