Vamp, an AIOps platform for Continuous Release Orchestration, announced the launch of Vamp Continuous Cloud Optimizer, a new machine learning optimization solution that pinpoints the perfect balance between performance and cost for Kubernetes-running apps.
Vamp Continuous Cloud Optimizer automatically right-sizes the amount of resources needed to run applications in a Kubernetes environment as a separate product as well as an add-on to its autonomous release technology.
Vamp Continuous Cloud Optimizer uses patented machine learning optimization algorithms, to accurately pinpoint the precise operational capacity needed to run an individual service, while safeguarding application performance. It automatically tunes a wide range of relevant parameters (which can be both resource or application specific) against relevant performance SLA goals (such as throughput and uptime) based on real-time metrics and KPI calculations delivered by Vamp’s release orchestration platform.
With Vamp Continuous Cloud Optimizer, DevOps teams will automatically receive recommendations to right-size resources in real-time helping them to cut resource costs by 40%.
As an autonomous cloud-native release orchestration solution, Vamp already uses intelligent automation to help IT teams release software faster with 100% reliability.
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