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[UI] add tab for monthly costs per cluster (#796)

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* add tab for monthly costs per cluster
* sync run_local and update version number
* lowering resources
* some Makefile polishing and updated admin docs on UI
* extend admin docs on UI
* add api-service manifest for operator
* set min limits in UI to default min limits of operator
* reflect new UI helm charts in docs
* make cluster name label configurable
This commit is contained in:
Felix Kunde
2020-02-19 12:58:24 +01:00
committed by GitHub
parent aea9e9bd33
commit d5660f65bb
17 changed files with 257 additions and 86 deletions
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docs/administrator.md
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@@ -480,37 +480,71 @@ A secret can be pre-provisioned in different ways:
## Setting up the Postgres Operator UI
With the v1.2 release the Postgres Operator is shipped with a browser-based
Since the v1.2 release the Postgres Operator is shipped with a browser-based
configuration user interface (UI) that simplifies managing Postgres clusters
with the operator. The UI runs with Node.js and comes with it's own Docker
image.
with the operator.
Run NPM to continuously compile `tags/js` code. Basically, it creates an
`app.js` file in: `static/build/app.js`
### Building the UI image
```
(cd ui/app && npm start)
```
To build the Docker image open a shell and change to the `ui` folder. Then run:
The UI runs with Node.js and comes with it's own Docker
image. However, installing Node.js to build the operator UI is not required. It
is handled via Docker containers when running:
```bash
docker build -t registry.opensource.zalan.do/acid/postgres-operator-ui:v1.2.0 .
make docker
```
Apply all manifests for the `ui/manifests` folder to deploy the Postgres
Operator UI on K8s. For local tests you don't need the Ingress resource.
### Configure endpoints and options
The UI talks to the K8s API server as well as the Postgres Operator [REST API](developer.md#debugging-the-operator).
K8s API server URLs are loaded from the machine's kubeconfig environment by
default. Alternatively, a list can also be passed when starting the Python
application with the `--cluster` option.
The Operator API endpoint can be configured via the `OPERATOR_API_URL`
environment variables in the [deployment manifest](../ui/manifests/deployment.yaml#L40).
You can also expose the operator API through a [service](../manifests/api-service.yaml).
Some displayed options can be disabled from UI using simple flags under the
`OPERATOR_UI_CONFIG` field in the deployment.
### Deploy the UI on K8s
Now, apply all manifests from the `ui/manifests` folder to deploy the Postgres
Operator UI on K8s. Replace the image tag in the deployment manifest if you
want to test the image you've built with `make docker`. Make sure the pods for
the operator and the UI are both running.
```bash
kubectl apply -f ui/manifests
sed -e "s/\(image\:.*\:\).*$/\1$TAG/" manifests/deployment.yaml | kubectl apply -f manifests/
kubectl get all -l application=postgres-operator-ui
```
Make sure the pods for the operator and the UI are both running. For local
testing you need to apply proxying and port forwarding so that the UI can talk
to the K8s and Postgres Operator REST API. You can use the provided
`run_local.sh` script for this. Make sure it uses the correct URL to your K8s
API server, e.g. for minikube it would be `https://192.168.99.100:8443`.
### Local testing
For local testing you need to apply K8s proxying and operator pod port
forwarding so that the UI can talk to the K8s and Postgres Operator REST API.
The Ingress resource is not needed. You can use the provided `run_local.sh`
script for this. Make sure that:
* Python dependencies are installed on your machine
* the K8s API server URL is set for kubectl commands, e.g. for minikube it would usually be `https://192.168.99.100:8443`.
* the pod label selectors for port forwarding are correct
When testing with minikube you have to build the image in its docker environment
(running `make docker` doesn't do it for you). From the `ui` directory execute:
```bash
# compile and build operator UI
make docker
# build in image in minikube docker env
eval $(minikube docker-env)
docker build -t registry.opensource.zalan.do/acid/postgres-operator-ui:v1.3.0 .
# apply UI manifests next to a running Postgres Operator
kubectl apply -f manifests/
# install python dependencies to run UI locally
pip3 install -r requirements
./run_local.sh
```