Telemetry Aware Scheduling (TAS) makes telemetry data available to scheduling and descheduling decisions in Kubernetes. Through a user defined policy, TAS enables rule based decisions on pod placement.
Vendor
Intel Corporation
Company Website
Telemetry Aware Scheduling (TAS) makes telemetry data available to scheduling and descheduling decisions in Kubernetes.
Telemetry Aware Scheduling (TAS) makes telemetry data available to scheduling and descheduling decisions in Kubernetes. Through a user defined policy, TAS enables rule based decisions on pod placement powered by up to date platform metrics. Policies can be applied on a workload by workload basis - allowing the right indicators to be used to place the right pod. For example - a pod that requires certain cache characteristics can be schedule on output from Intel® RDT metrics. Likewise a combination of RDT, RAS and other platform metrics can be used to provide a signal for the overall health of a node and be used to proactively ensure workload resiliency.
Features
- Telemetry Integration: Utilizes real-time telemetry data for informed scheduling.
- User-Defined Policies: Allows custom rules for pod placement based on specific metrics.
- Workload Resiliency: Ensures optimal placement for workload reliability.
- Platform Metrics: Uses Intel® RDT, RAS, and other metrics for comprehensive health signals.
- Proactive Scheduling: Enhances performance and reliability through proactive decisions.