Serverless Container Infrastructure
The Best Place to Run Containers
Deliver highly-available, scalable and efficient infrastructure for cloud-native applications without the pains of infrastructure management.
Container Infrastructure Made Easy
Free developers and DevOps engineers from the burdens of provisioning and managing compute infrastructure for containers.
Rich Visibility into Your Container Stack
Gain insight into usage and costs for your containers, from the instances supporting them to the applications running in them.
The Best SLA for Your Container Workloads
Ensure that your containers always have the best performance, availability and cost by leveraging analytics and automation.
Minimize Cloud Infrastructure Costs
Our software automatically determines the most balanced and cost-effective way to allocate cloud compute resources across spot instances, reserved instances, savings plans, and on-demand resources. Intelligent placement and bin-packing of pods and tasks drives optimal utilization, helping you save up to 90% on infrastructure costs, without complex manual resource planning and allocation.
Simplify and Automate Infrastructure Management
Using real-time monitoring and analytics, Spot provides auto-scaling of cluster capacity and continuous right-sizing of resource consumption, maximizing utilization and efficiency without tedious manual work.
Gain Top-to-Bottom Observability Into Your Container Stack
From the infrastructure supporting it to the applications running on it, Spot provides unparalleled visibility into your container stack. Easy drill-down by namespace, deployment, resources, labels, annotations and other container entities gives engineering and devops teams the information they need to understand spend driven by cloud-native workloads.
Deliver Performance and Availability You Can Rely On
Automatic instance replacement keeps applications up and running even when resources fail, while advanced monitoring and analytics automatically deliver the resources applications need using both container-driven, predictive autoscaling as well as buffers of extra CPU and memory.
Works with the tools and services you use