What to expect in this doc:
- Traefik 2.0 has traffic mirroring functionality that should work on generic Kubernetes, but there's no good how-to guides, let this be the first.
- This is a how-to guide, that's optimized for understanding
// https://github.com/michael-ciniawsky/postcss-load-config | |
const purgecss = require('@fullhuman/postcss-purgecss') | |
const conf = require('./quasar.conf')() | |
const ie = conf.supportIE ? ['./node_modules/quasar/src/ie-compat/*.js'] : [] | |
const plugins = conf.framework.plugins.map(plug => { | |
return `./node_modules/quasar/src/plugins/${plug}.js` | |
}) |
apiVersion: operator.victoriametrics.com/v1beta1 | |
kind: VMServiceScrape | |
metadata: | |
name: apiserver | |
namespace: monitoring-system | |
spec: | |
endpoints: | |
- bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token | |
bearerTokenSecret: | |
key: "" |
To get started with either the Mini PCIe or M.2 Accelerator, all you need to do is connect the card to your system, and then install our PCIe driver, Edge TPU runtime, and the TensorFlow Lite runtime. This page walks you through the setup and shows you how to run an example model.
The setup and operation is the same for both M.2 form-factors, including the M.2 Accelerator with Dual Edge TPU.
Raspberry Pi OS (64-bit)
based on Debian 10 or newer