FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FEATURE STATE: Kubernetes v1.20 [stable] This page describes the RuntimeClass resource and runtime selection mechanism. RuntimeClass is a feature for selecting the container runtime configuration. The container runtime configuration is used to run a Pod's containers. Motivation You can set a different RuntimeClass between different Pods to provide a balance of performance versus security. For example, if part of your workload deserves a high level of information security assurance, you might choose to schedule those Pods so that they run in a container runtime that uses hardware virtualization.

Kubernetes has various types of probes: Liveness probe Readiness probe Startup probe Liveness probe Liveness probes determine when to restart a container. For example, liveness probes could catch a deadlock when an application is running but unable to make progress. If a container fails its liveness probe repeatedly, the kubelet restarts the container. Liveness probes do not wait for readiness probes to succeed. If you want to wait before executing a liveness probe, you can either define initialDelaySeconds or use a startup probe.

In order to support latency-critical and high-throughput workloads, Kubernetes offers a suite of Resource Managers. The managers aim to co-ordinate and optimise the alignment of node's resources for pods configured with a specific requirement for CPUs, devices, and memory (hugepages) resources. Hardware topology alignment policies Topology Manager is a kubelet component that aims to coordinate the set of components that are responsible for these optimizations. The overall resource management process is governed using the policy you specify.

FastAPI framework, high performance, easy to learn, fast to code, ready for production