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Decision-Making Style	Time Pressure	Criticality	Description
Consensus Building	Low	Low	Group agreement is sought through discussion and collaboration. Time-consuming but leads to high buy-in.
Consultation	Moderate	Moderate	Input is gathered from stakeholders, but the final decision rests with the leader. Balances speed and diverse perspectives.
Decide and Explain Rationale	Moderate to High	Moderate to High	Leader makes a decision quickly and then explains the reasoning to stakeholders. Efficient when time is limited, but risks lower buy-in.
Autocratic	High	High	Leader makes a decision unilaterally without input from others. Fastest option in a crisis, but can damage morale and trust.

Key Considerations:

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Cluster State Metrics

DESCRIPTION	NAME IN KUBE-STATE-METRICS	COMMAND
Running pods	kube_pod_status_phase	kubectl get pods
Number of pods desired for a Deployment	kube_deployment_spec_replicas	kubectl get deployment
Number of pods desired for a DaemonSet	kube_daemonset_status_desired_number_scheduled	kubectl get daemonset
Number of pods currently running in a Deployment	kube_deployment_status_replicas	kubectl get deployment

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Preface

Related Resources:

• https://nip.io/
• https://github.com/authelia/authelia
• https://docs.cilium.io/en/stable/gettingstarted/istio/
  • https://cloud.google.com/blog/products/containers-kubernetes/bringing-ebpf-and-cilium-to-google-kubernetes-engine

Why not using terraform-provider-kubernetes

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Start by deleting environment repos from github to start from scratch.

The names are defined as: echo $(grep repository jx-requirements.yml | cut -f 2 -d ":") or better: cat jx-requirements.yml| yq ".environments[].repository"

https://cert-manager.io/docs/configuration/acme/dns01/google/

kubectl create namespace jx

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Base K8 setup

notes on docs https://kubernetes.io/docs/setup/production-environment/turnkey/gce/

export KUBERNETES_SKIP_CREATE_CLUSTER = 1
curl -sS https://get.k8s.io | bash

change machine type, region and number of worker nodes enable pre-emptible machine type to reduce cost requesting more external IP in region quota (IN_USE_ADDRESSES) on console.cloud.google.com

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Google Cloud Next'19 Big Data https://bit.ly/2L1hAB4 http://cloud.google.com/solutions/articles#bigdata http:/.cloud.google.com/newsletter http://research.google.com http://cloud.google.com/dataflow Dataflow preso video https://www.youtube.com/watch?v=3UfZN59Nsk8 https://beam.apache.org/

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This takes about 15 minutes to set up all steps inclusive server/client.

1. GCP VM with CoreOS (or any docker capable) image + network / firewall config
2. install server image https://hub.docker.com/r/johnae/pritunl/
   sudo echo -n >/etc/systemd/resolved.conf && systemctl stop systemd-resolved
   docker pull johnae/pritunl
   docker run -d --privileged -p 53:53/udp -p 53:53/tcp -p 443:443/tcp johnae/pritunl
   docker ps
   docker exec -it $HEXA /bin/bash

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# export PROJECT=my-project-x
# export STAGE=gs://my-bucket-x/ds
mvn compile exec:java \
-Dexec.mainClass=com.google.cloud.dataflow.examples.complete.StreamingLogExtract \
-Dexec.args="--project=$PROJECT \
--stagingLocation=$STAGE \
--pubsubTopic='projects/""$PROJECT""/topics/custom_logs' \
--bigQueryDataset='dataflow_demo' \
--bigQueryTable='custom_logs' \
--runner=DataflowPipelineRunner --workerMachineType='n1-standard-1' --streaming=true"

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/*
 * Copyright (C) 2015 Google Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not
 * use this file except in compliance with the License. You may obtain a copy of
 * the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

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- name: log2monitor
  cmd: /usr/local/bin/lb_response_code_logging.py
  time: '* * * * * *'
  onError: Backoff
  notifyOnError: false
  notifyOnFailure: true