The purpose of this guide is to install a minimal local Armada deployment for testing and evaluation purposes.
- Linux OS
- Git
- Docker
- Helm v3
- Kind
- Kubectl
N.B. Ensure the current user has permission to run the docker
command without sudo
.
This guide will install Armada on 3 local Kubernetes clusters; one server and two executor clusters.
Set the ARMADA_VERSION
environment variable and clone this repository with the same version tag as you are installing. For example to install version v0.0.5
:
export ARMADA_VERSION=v0.0.5
git clone https://github.com/G-Research/armada.git --branch $ARMADA_VERSION
All commands are intended to be run from the root of the repository.
kind create cluster --name quickstart-armada-server --config ./docs/quickstart/kind-config-server.yaml
export KUBECONFIG=$(kind get kubeconfig-path --name="quickstart-armada-server")
# Configure Helm
helm repo add stable https://kubernetes-charts.storage.googleapis.com/
# Install Redis
helm install redis stable/redis-ha -f docs/quickstart/redis-values.yaml
# Install Prometheus
helm install prometheus-operator stable/prometheus-operator -f docs/quickstart/server-prometheus-values.yaml
# Install Armada server
helm template ./deployment/armada --set image.tag=$ARMADA_VERSION -f ./docs/quickstart/server-values.yaml | kubectl apply -f -
First executor:
kind create cluster --name quickstart-armada-executor-0 --config ./docs/quickstart/kind-config-executor-0.yaml
export DOCKERHOSTIP=$(ip -4 addr show docker0 | grep -Po 'inet \K[\d.]+')
export KUBECONFIG=$(kind get kubeconfig-path --name="quickstart-armada-executor-0")
# Configure Helm
helm repo add stable https://kubernetes-charts.storage.googleapis.com/
# Install Prometheus
helm install prometheus-operator stable/prometheus-operator -f docs/quickstart/executor-prometheus-values.yaml --set prometheus.service.nodePort=30002
# Install executor
helm template ./deployment/executor --set image.tag=$ARMADA_VERSION --set applicationConfig.apiConnection.armadaUrl="$DOCKERHOSTIP:30000" --set applicationConfig.apiConnection.forceNoTls=true --set prometheus.enabled=true | kubectl apply -f -
helm template ./deployment/executor-cluster-monitoring -f docs/quickstart/executor-cluster-monitoring-values.yaml --set interval=5s | kubectl apply -f -
Second executor:
kind create cluster --name quickstart-armada-executor-1 --config ./docs/quickstart/kind-config-executor-1.yaml
export DOCKERHOSTIP=$(ip -4 addr show docker0 | grep -Po 'inet \K[\d.]+')
export KUBECONFIG=$(kind get kubeconfig-path --name="quickstart-armada-executor-1")
# Configure Helm
helm repo add stable https://kubernetes-charts.storage.googleapis.com/
# Install Prometheus
helm install prometheus-operator stable/prometheus-operator -f docs/quickstart/executor-prometheus-values.yaml --set prometheus.service.nodePort=30003
# Install executor
helm template ./deployment/executor --set image.tag=$ARMADA_VERSION --set applicationConfig.apiConnection.armadaUrl="$DOCKERHOSTIP:30000" --set applicationConfig.apiConnection.forceNoTls=true --set prometheus.enabled=true | kubectl apply -f -
helm template ./deployment/executor-cluster-monitoring -f docs/quickstart/executor-cluster-monitoring-values.yaml --set interval=5s | kubectl apply -f -
export DOCKERHOSTIP=$(ip -4 addr show docker0 | grep -Po 'inet \K[\d.]+')
curl -X POST -i http://admin:prom-operator@localhost:30001/api/datasources -H "Content-Type: application/json" -d '{"name":"cluster-0","type":"prometheus","url":"http://'$DOCKERHOSTIP':30002","access":"proxy","basicAuth":false}'
curl -X POST -i http://admin:prom-operator@localhost:30001/api/datasources -H "Content-Type: application/json" -d '{"name":"cluster-1","type":"prometheus","url":"http://'$DOCKERHOSTIP':30003","access":"proxy","basicAuth":false}'
curl -X POST -i http://admin:prom-operator@localhost:30001/api/dashboards/import --data-binary @./docs/quickstart/grafana-armada-dashboard.json -H "Content-Type: application/json"
The following steps download the armadactl
CLI to the current directory:
armadaCtlTar=armadactl-$ARMADA_VERSION-linux-amd64.tar
curl -LO https://github.com/G-Research/armada/releases/download/$ARMADA_VERSION/$armadaCtlTar.gz
gunzip $armadaCtlTar.gz && tar xf $armadaCtlTar && rm $armadaCtlTar
chmod u+x armadactl
Create queues, submit some jobs and monitor progress:
./armadactl --armadaUrl=localhost:30000 create-queue queue-a --priorityFactor 1
./armadactl --armadaUrl=localhost:30000 create-queue queue-b --priorityFactor 2
./armadactl --armadaUrl=localhost:30000 submit ./docs/quickstart/job-queue-a.yaml
./armadactl --armadaUrl=localhost:30000 submit ./docs/quickstart/job-queue-b.yaml
./armadactl --armadaUrl=localhost:30000 watch job-set-1
Log in to the Grafana dashboard at http://localhost:30001/ using the default credentials of admin
/ prom-operator
.
Navigate to the Armada Overview dashboard to get a view of jobs progressing through the system.
Try submitting lots of jobs and see queues build and get processed:
for i in {1..50}
do
./armadactl --armadaUrl=localhost:30000 submit ./docs/quickstart/job-queue-a.yaml
./armadactl --armadaUrl=localhost:30000 submit ./docs/quickstart/job-queue-b.yaml
done
CLI:
$ ./armadactl --armadaUrl=localhost:30000 watch job-set-1
Watching job set job-set-1
Nov 4 11:43:36 | Queued: 0, Leased: 0, Pending: 0, Running: 0, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobSubmittedEvent, job id: 01drv3mey2mzmayf50631tzp9m
Nov 4 11:43:36 | Queued: 1, Leased: 0, Pending: 0, Running: 0, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobQueuedEvent, job id: 01drv3mey2mzmayf50631tzp9m
Nov 4 11:43:36 | Queued: 1, Leased: 0, Pending: 0, Running: 0, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobSubmittedEvent, job id: 01drv3mf7b6fd1rraeq1f554fn
Nov 4 11:43:36 | Queued: 2, Leased: 0, Pending: 0, Running: 0, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobQueuedEvent, job id: 01drv3mf7b6fd1rraeq1f554fn
Nov 4 11:43:38 | Queued: 1, Leased: 1, Pending: 0, Running: 0, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobLeasedEvent, job id: 01drv3mey2mzmayf50631tzp9m
Nov 4 11:43:38 | Queued: 0, Leased: 2, Pending: 0, Running: 0, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobLeasedEvent, job id: 01drv3mf7b6fd1rraeq1f554fn
Nov 4 11:43:38 | Queued: 0, Leased: 1, Pending: 1, Running: 0, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobPendingEvent, job id: 01drv3mey2mzmayf50631tzp9m
Nov 4 11:43:38 | Queued: 0, Leased: 0, Pending: 2, Running: 0, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobPendingEvent, job id: 01drv3mf7b6fd1rraeq1f554fn
Nov 4 11:43:41 | Queued: 0, Leased: 0, Pending: 1, Running: 1, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobRunningEvent, job id: 01drv3mf7b6fd1rraeq1f554fn
Nov 4 11:43:41 | Queued: 0, Leased: 0, Pending: 0, Running: 2, Succeeded: 0, Failed: 0, Cancelled: 0 | event: *api.JobRunningEvent, job id: 01drv3mey2mzmayf50631tzp9m
Nov 4 11:44:17 | Queued: 0, Leased: 0, Pending: 0, Running: 1, Succeeded: 1, Failed: 0, Cancelled: 0 | event: *api.JobSucceededEvent, job id: 01drv3mf7b6fd1rraeq1f554fn
Nov 4 11:44:26 | Queued: 0, Leased: 0, Pending: 0, Running: 0, Succeeded: 2, Failed: 0, Cancelled: 0 | event: *api.JobSucceededEvent, job id: 01drv3mey2mzmayf50631tzp9m
Grafana:
Note that the jobs in this demo simply run the sleep
command so do not consume much resource.