Automatically give containers the optimal infrastructure
Spot’s container-first approach uses advanced analytics and automation to continuously monitor and optimize the compute infrastructure for your cloud-native applications so that CloudOps teams and developers can focus on their applications, knowing their containers can count on infrastructure to always be available, scalable and efficient.
Spot provides granular, real-time views into container behavior and cost, from the instance to the application level, with drill-down by namespace, resource, label, annotation and other container entities. This provides real-time visibility, from the instances supporting containers to the applications running in them.
Cost control & optimization
Use proven machine learning and automation to continuously determine and deploy the most balanced and cost-effective compute resources for your container clusters, from spot to reserved to on-demand. That saves you up to 90% on compute costs, without manual resource planning and allocation.
Meet SLAs for your cloud-native infrastructure
Spot provides container-driven, predictive autoscaling of nodes to ensure that containers always have the resources they need to meet perfomance and availability requirements, rapidly scale up (and down) based on pod and task requirements, while configurable buffers of resources ensure that container workloads will immediately run whenever needed and automatic and predictive instance replacement keeps applications up and running.