lauralorenz

GITHUB REPORT

TESTGRID BOARD	TITLE	STATUS	STATUS DETAILS
master-informing	[Flaky test]	OBSERVING	sig/node,kind/flake,needs-triage
	capz-windows-containerd-master
master-informing	[Flaking Test]	FLAKY	sig/storage,kind/flake,triage/accepted
	gce-cos-master-serial
master-informing	[Flaky Test] [sig-windows]	FLAKY	priority/important-soon,kind/flake,sig/windows,help
	Services should be able to		wanted,triage/accepted

lauralorenz

GITHUB REPORT

TESTGRID BOARD	TITLE	STATUS	STATUS DETAILS
master-blocking	["Flaky" Tests/Test	OBSERVING	kind/flake,sig/testing,needs-triage
	Grid Bug] Various
	sig-release-master-blocking
	jobs with "Unknown: Build is
	too old to process"
master-informing	[Flaky test]	OBSERVING	sig/node,kind/flake,needs-triage

lauralorenz

GITHUB REPORT

TESTGRID BOARD	TITLE	STATUS	STATUS DETAILS
master-blocking	[Flaky Tests] Various	OBSERVING	kind/flake,sig/testing,needs-triage
	sig-release-master-blocking
	jobs with "Unknown: Build is
	too old to process"
master-informing	[Failing Test]	FLAKY	sig/cluster-lifecycle,kind/

lauralorenz

To check that the plugin builds with the current version of coredns

1. Ran local kind cluster with the ServiceImport CRD installed from the MCS API repo.
2. Built local docker image against coredns/Dockerfile of latest coredns master commit c9eedcb, with multicluster plugin installed via refrencing it in coredns/plugin.cfg.

   docker build $MYDEVHOME/coredns/Dockerfile -t coredns-193-withmc
   

3. Uploaded local image to kind cluster (did you know you needed to do that? I didn't. See KiND - How I Wasted a Day Loading Local Docker Images by Ivan Velichko)

   kind load docker-image coredns-193-withmc:latest
   

lauralorenz

Notes from cloud2 demo

1. Install Prefect :-)
2. sign up for Cloud 2.0 beta
   • prefect.io
   • Prefect 2.0 banner or (Product > Cloud 2.0)
   • Get Started
   • Sign up / Sign in
   • Make API key
3. Initial CLI setup

lauralorenz

apiVersion: about.x-k8s.io/v1alpha1
kind: ClusterProperty
metadata:
  name: clusterproperty-doesnotfit
spec:
  value: "🇺🇸🇺🇸"

lauralorenz

import tempfile

import prefect
from prefect.storage import S3
from prefect import task, Flow, Parameter
from prefect.engine.serializers import Serializer
from prefect.engine.results import S3Result

from yellowbrick.datasets import load_mushroom
from sklearn.pipeline import Pipeline

lauralorenz

from prefect.environments.storage import S3
from prefect.environments import FargateTaskEnvironment
from prefect.engine.executors import DaskExecutor, LocalDaskExecutor
from prefect import task, Flow, Parameter
import prefect

STORAGE = S3(bucket="demo-prefect-flows-14")

ENVIRONMENT = FargateTaskEnvironment(
		networkMode="awsvpc",

lauralorenz

 Found link https://files.pythonhosted.org/packages/9c/e5/4973696de181f9a6ea3fbaaf7946711f8445b820092434fe3c2d8eb9d807/spacy-3.0.0a0.tar.gz#sha256=7ab3fd29
e4d0d50a576a7f5ee27133e310a69710074a35c2b4f5b816fe6c5939 (from https://pypi.org/simple/spacy/) (requires-python:>=3.6), version: 3.0.0a0
Given no hashes to check 70 links for project 'spacy': discarding no candidates
Using version 2.3.2 (newest of versions: 2.0.0, 2.0.1.dev0, 2.0.1, 2.0.2.dev0, 2.0.2, 2.0.3.dev0, 2.0.3, 2.0.4.dev0, 2.0.4, 2.0.5.dev0, 2.0.5, 2.0.6.dev0, 
2.0.6, 2.0.7, 2.0.8, 2.0.9, 2.0.10.dev0, 2.0.10, 2.0.11.dev0, 2.0.11, 2.0.12.dev0, 2.0.12.dev1, 2.0.12, 2.0.13.dev0, 2.0.13.dev1, 2.0.13.dev2, 2.0.13.dev4, 
2.0.13, 2.0.14.dev0, 2.0.14.dev1, 2.0.15, 2.0.16.dev0, 2.0.16, 2.0.17.dev0, 2.0.17.dev1, 2.0.17, 2.0.18.dev0, 2.0.18.dev1, 2.0.18, 2.1.0, 2.1.1.dev0, 
2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.1.5, 2.1.6, 2.1.7.dev0, 2.1.7, 2.1.8, 2.1.9, 2.2.0.dev10, 2.2.0.dev11, 2.2.0.dev13, 2.2.0.dev15, 2.2.0.dev17, 2.2.0.dev18, 
2.2.0.dev19, 2.2.0, 2.2.1, 2.2.2.

lauralorenz

from dask_flow import flow

from prefect.environments.storage import Docker
from prefect.environments import DaskKubernetesEnvironment

flow.storage = Docker(registry_url="gcr.io/execution-layer-demo/flows")
flow.environment = DaskKubernetesEnvironment()
flow.register('execution-layer-demo')