State of Containers and Serverless

See how tens of thousands of organizations are using containers, serverless, and GPUs, from autoscaling trends to Arm adoption and cost optimization.

Cloud teams now juggle a growing mix of compute options, from containers to serverless to GPUs, each suited to different workloads and cost tradeoffs. This report looks at real usage data from tens of thousands of Datadog customers to show how that mix is actually evolving.

In this report, you’ll learn:

• Why GPU adoption is rising to support AI and data-intensive workloads
• How Karpenter overtook Cluster Autoscaler as the top Kubernetes autoscaling tool
• Why most cloud customers now rely on serverless alongside containers
• How Arm adoption is expanding across Lambda functions and cloud instances
• Why most workloads use less than half of their requested resources