Improve cost and operational efficiency with Autopilot Operating Model

Autopilot, a set of techniques originally created at Google, can be used to monitor and configure resources automatically to reduce cloud waste and maximize availability. Leveraging machine learning algorithms coupled with heuristics, Autopilot improves cost efficiency, availability, security & resilience of your multi-cloud, multi-K8s infrastructure.

In this free whitepaper, we explain how you can leverage the Autopilot Operating Model to easily

• Observe your operations, performance, and costs across your multiple cloud & Kubernetes environments

• Leverage machine intelligence to understand health and performance at a glance

• Surface opportunities to optimize your Kubernetes and VM workloads for availability and cost

• Automate improvements to cut cloud spend, improve operational efficiency, and reduce MTTR — tuned to your preferred level of control