What Are Spot Instances?

Spot Instances are unused compute capacity offered by cloud providers at significantly reduced prices, typically 60 to 90 percent cheaper than on-demand. The tradeoff is that the provider can reclaim spot instances with minimal notice, usually two minutes, when capacity is needed. AWS, GCP, and Azure all offer spot or preemptible instance options that can dramatically reduce compute costs for fault-tolerant workloads.

Why Spot Instances Matter

Compute costs are often the largest component of cloud spending. Spot instances can reduce these costs by up to 90 percent for workloads that tolerate interruptions. When combined with proper architecture patterns like Kubernetes node groups, auto scaling, and graceful shutdown handling, spot instances safely power a significant portion of production infrastructure at a fraction of the on-demand cost.

Teams that understand and adopt spot instances gain a significant operational advantage, reducing manual effort and improving the reliability and scalability of their infrastructure. As cloud-native adoption accelerates, familiarity with spot instances has become a core competency for DevOps engineers, platform teams, and site reliability engineers working in production Kubernetes and cloud environments.

How Spot Instances Work

You request spot instances by specifying instance types and your maximum price. The cloud provider allocates available capacity at the current spot price. If demand increases and capacity is needed, the provider sends an interruption notice and reclaims the instance within two minutes. In Kubernetes, tools like Karpenter and spot node groups manage spot instances automatically, distributing workloads across multiple instance types to reduce interruption risk.

Understanding how spot instances fits into the broader cloud-native ecosystem is important for making informed architecture decisions. It works alongside other tools and practices in the DevOps and platform engineering space, and choosing the right combination depends on your team's specific requirements, scale, and operational maturity.

Key Features

Deep Discounts

Save 60 to 90 percent compared to on-demand pricing for the same compute resources.

Interruption Handling

Cloud providers send a two-minute warning before reclaiming, allowing graceful shutdown of workloads.

Instance Diversity

Spread workloads across multiple instance types and zones to reduce simultaneous interruption likelihood.

Kubernetes Integration

Tools like Karpenter automatically manage spot node groups, replacing interrupted nodes and optimizing selection.

Common Use Cases

Running Kubernetes worker nodes on spot instances for stateless workloads that tolerate brief interruptions.

Processing batch jobs, data pipelines, and CI/CD builds on spot where interruptions cause a retry, not data loss.

Using spot instances for development and staging environments where brief downtime has no business impact.

Combining spot and on-demand instances in Kubernetes clusters for a balance of cost savings and availability.

How Obsium Helps

Obsium's cloud consulting team helps organizations implement and optimize spot instances as part of production-grade infrastructure. Whether you are adopting spot instances for the first time or looking to improve an existing implementation, our engineers bring hands-on experience across cloud platforms and Kubernetes environments. Learn more about our cloud consulting services →