Autopilot uses machine learning algorithms applied to historical data about prior executions of a job, plus a set of finely-tuned heuristics, to walk this line.

Apr 17, 2020 � Google uses Autopilot to configure resources automatically, adjusting both the number of concurrent tasks in a job (horizontal scaling) and the CPU/memory�...

Apr 27, 2020 � A less common pattern is to use vertical autoscaling to tune the amount of resources available to each replica. The two techniques can also be�...

This work designs, implements and evaluates a microservice autoscaling system, COLA, which efficiently learns to manage cluster resources.

Autopilot continuously adjusts resource limits: CPU/Mem limits for containers (vertical scaling), number of replicas (horizontal scaling). container limits.

Our tool has a significant impact on Google fleet efficiency - Autopiloted jobs account for over 48% of Google's fleet-wide resource usage, with an average�...

Plan, set up, and have GKE Autopilot mode manage your clusters, including node management, security, and scaling.

I had a couple quick questions regarding how the 5000 Autopilot/No Autopilot jobs were selected to generate the Memory Slack CDF's.

Autopilot [49] aims to reduce slack, which is the difference between the limit and the actual resource usage of workloads in kubernetes clusters. Cilantro [51]�...

This page describes the maximum, minimum, and default resource requests that you can specify for your Google Kubernetes Engine (GKE) Autopilot workloads.