reflect feedback on docs

This commit is contained in:
Felix Kunde
2020-02-20 10:37:39 +01:00
66 changed files with 2336 additions and 646 deletions
+85 -56
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@@ -47,6 +47,12 @@ patching the CRD manifest:
zk8 patch crd postgresqls.acid.zalan.do -p '{"spec":{"validation": null}}'
```
## Non-default cluster domain
If your cluster uses a DNS domain other than the default `cluster.local`, this
needs to be set in the operator configuration (`cluster_domain` variable). This
is used by the operator to connect to the clusters after creation.
## Namespaces
### Select the namespace to deploy to
@@ -89,36 +95,13 @@ lacks access rights to any of them (except K8s system namespaces like
'list pods' execute at the cluster scope and fail at the first violation of
access rights.
The watched namespace also needs to have a (possibly different) service account
in the case database pods need to talk to the K8s API (e.g. when using
K8s-native configuration of Patroni). The operator checks that the
`pod_service_account_name` exists in the target namespace, and, if not, deploys
there the `pod_service_account_definition` from the operator
[`Config`](../pkg/util/config/config.go) with the default value of:
```yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: operator
```
In this definition, the operator overwrites the account's name to match
`pod_service_account_name` and the `default` namespace to match the target
namespace. The operator performs **no** further syncing of this account.
## Non-default cluster domain
If your cluster uses a DNS domain other than the default `cluster.local`, this
needs to be set in the operator configuration (`cluster_domain` variable). This
is used by the operator to connect to the clusters after creation.
## Operators with defined ownership on certain Postgres clusters
By default, multiple operators can only run together in Kubernetes when isolated
into their [own namespaces](administrator.md#specify-the-namespace-to-watch).
By default, multiple operators can only run together in one K8s cluster when
isolated into their [own namespaces](administrator.md#specify-the-namespace-to-watch).
But, it is also possible to define ownership between operator instances and
Postgres clusters running all in the same namespace without interfering.
Postgres clusters running all in the same namespace or K8s cluster without
interfering.
First, define the [`CONTROLLER_ID`](../../manifests/postgres-operator.yaml#L38)
environment variable in the operator deployment manifest. Then specify the ID
@@ -138,14 +121,15 @@ spec:
Every other Postgres cluster which lacks the annotation will be ignored by this
operator. Conversely, operators without a defined `CONTROLLER_ID` will ignore
clusters with a defined ownership of another cluster.
clusters with defined ownership of another operator.
## Role-based access control for the operator
The manifest [`operator-service-account-rbac.yaml`](../manifests/operator-service-account-rbac.yaml)
defines the service account, cluster roles and bindings needed for the operator
to function under access control restrictions. To deploy the operator with this
RBAC policy use:
to function under access control restrictions. The file also includes a cluster
role `postgres-pod` with privileges for Patroni to watch and manage pods and
endpoints. To deploy the operator with this RBAC policies use:
```bash
kubectl create -f manifests/configmap.yaml
@@ -154,14 +138,14 @@ kubectl create -f manifests/postgres-operator.yaml
kubectl create -f manifests/minimal-postgres-manifest.yaml
```
### Service account and cluster roles
### Namespaced service account and role binding
Note that the service account is named `zalando-postgres-operator`. You may have
to change the `service_account_name` in the operator ConfigMap and
`serviceAccountName` in the `postgres-operator` deployment appropriately. This
is done intentionally to avoid breaking those setups that already work with the
default `operator` account. In the future the operator should ideally be run
under the `zalando-postgres-operator` service account.
For each namespace the operator watches it creates (or reads) a service account
and role binding to be used by the Postgres Pods. The service account is bound
to the `postgres-pod` cluster role. The name and definitions of these resources
can be [configured](reference/operator_parameters.md#kubernetes-resources).
Note, that the operator performs **no** further syncing of namespaced service
accounts and role bindings.
### Give K8s users access to create/list `postgresqls`
@@ -403,6 +387,17 @@ cluster manifest. In the case any of these variables are omitted from the
manifest, the operator configuration settings `enable_master_load_balancer` and
`enable_replica_load_balancer` apply. Note that the operator settings affect
all Postgresql services running in all namespaces watched by the operator.
If load balancing is enabled two default annotations will be applied to its
services:
- `external-dns.alpha.kubernetes.io/hostname` with the value defined by the
operator configs `master_dns_name_format` and `replica_dns_name_format`.
This value can't be overwritten. If any changing in its value is needed, it
MUST be done changing the DNS format operator config parameters; and
- `service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout` with
a default value of "3600". This value can be overwritten with the operator
config parameter `custom_service_annotations` or the cluster parameter
`serviceAnnotations`.
To limit the range of IP addresses that can reach a load balancer, specify the
desired ranges in the `allowedSourceRanges` field (applies to both master and
@@ -513,37 +508,71 @@ 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
```
+7 -3
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@@ -31,9 +31,13 @@ status page.
![pgui-waiting-for-master](diagrams/pgui-waiting-for-master.png "Waiting for master pod")
Usually, the startup should only take up to 1 minute. If you feel the process
got stuck click on the "Logs" button to inspect the operator logs. From the
"Status" field in the top menu you can also retrieve the logs and queue of each
worker the operator is using. The number of concurrent workers can be
got stuck click on the "Logs" button to inspect the operator logs. If the logs
look fine, but the UI seems to got stuck, check if you are have configured the
same [cluster name label](../ui/manifests/deployment.yaml#L45) like for the
[operator](../manifests/configmap.yaml#L13).
From the "Status" field in the top menu you can also retrieve the logs and queue
of each worker the operator is using. The number of concurrent workers can be
[configured](reference/operator_parameters.md#general).
![pgui-operator-logs](diagrams/pgui-operator-logs.png "Checking operator logs")
+56 -1
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@@ -52,6 +52,7 @@ cd postgres-operator
kubectl create -f manifests/configmap.yaml # configuration
kubectl create -f manifests/operator-service-account-rbac.yaml # identity and permissions
kubectl create -f manifests/postgres-operator.yaml # deployment
kubectl create -f manifests/api-service.yaml # operator API to be used by UI
```
There is a [Kustomization](https://github.com/kubernetes-sigs/kustomize)
@@ -104,7 +105,7 @@ kubectl create -f https://operatorhub.io/install/postgres-operator.yaml
This installs the operator in the `operators` namespace. More information can be
found on [operatorhub.io](https://operatorhub.io/operator/postgres-operator).
## Create a Postgres cluster
## Check if Postgres Operator is running
Starting the operator may take a few seconds. Check if the operator pod is
running before applying a Postgres cluster manifest.
@@ -115,7 +116,61 @@ kubectl get pod -l name=postgres-operator
# if you've created the operator using helm chart
kubectl get pod -l app.kubernetes.io/name=postgres-operator
```
If the operator doesn't get into `Running` state, either check the latest K8s
events of the deployment or pod with `kubectl describe` or inspect the operator
logs:
```bash
kubectl logs "$(kubectl get pod -l name=postgres-operator --output='name')"
```
## Deploy the operator UI
In the following paragraphs we describe how to access and manage PostgreSQL
clusters from the command line with kubectl. But it can also be done from the
browser-based [Postgres Operator UI](operator-ui.md). Before deploying the UI
make sure the operator is running and its REST API is reachable through a
[K8s service](../manifests/api-service.yaml). The URL to this API must be
configured in the [deployment manifest](../ui/manifests/deployment.yaml#L43)
of the UI.
To deploy the UI simply apply all its manifests files or use the UI helm chart:
```bash
# manual deployment
kubectl apply -f ui/manifests/
# or helm chart
helm install postgres-operator-ui ./charts/postgres-operator-ui
```
Like with the operator, check if the UI pod gets into `Running` state:
```bash
# if you've created the operator using yaml manifests
kubectl get pod -l name=postgres-operator-ui
# if you've created the operator using helm chart
kubectl get pod -l app.kubernetes.io/name=postgres-operator-ui
```
You can now access the web interface by port forwarding the UI pod (mind the
label selector) and enter `localhost:8081` in your browser:
```bash
kubectl port-forward "$(kubectl get pod -l name=postgres-operator-ui --output='name')" 8081
```
Available option are explained in detail in the [UI docs](operator-ui.md).
## Create a Postgres cluster
If the operator pod is running it listens to new events regarding `postgresql`
resources. Now, it's time to submit your first Postgres cluster manifest.
```bash
# create a Postgres cluster
kubectl create -f manifests/minimal-postgres-manifest.yaml
```
+5
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@@ -122,6 +122,11 @@ These parameters are grouped directly under the `spec` key in the manifest.
A map of key value pairs that gets attached as [annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/)
to each pod created for the database.
* **serviceAnnotations**
A map of key value pairs that gets attached as [annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/)
to the services created for the database cluster. Check the
[administrator docs](https://github.com/zalando/postgres-operator/blob/master/docs/administrator.md#load-balancers-and-allowed-ip-ranges)
for more information regarding default values and overwrite rules.
* **enableShmVolume**
Start a database pod without limitations on shm memory. By default Docker
+27 -14
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@@ -152,21 +152,22 @@ configuration they are grouped under the `kubernetes` key.
service account used by Patroni running on individual Pods to communicate
with the operator. Required even if native Kubernetes support in Patroni is
not used, because Patroni keeps pod labels in sync with the instance role.
The default is `operator`.
The default is `postgres-pod`.
* **pod_service_account_definition**
The operator tries to create the pod Service Account in the namespace that
doesn't define such an account using the YAML definition provided by this
option. If not defined, a simple definition that contains only the name will
be used. The default is empty.
On Postgres cluster creation the operator tries to create the service account
for the Postgres pods if it does not exist in the namespace. The internal
default service account definition (defines only the name) can be overwritten
with this parameter. Make sure to provide a valid YAML or JSON string. The
default is empty.
* **pod_service_account_role_binding_definition**
This definition must bind pod service account to a role with permission
This definition must bind the pod service account to a role with permission
sufficient for the pods to start and for Patroni to access K8s endpoints;
service account on its own lacks any such rights starting with K8s v1.8. If
not explicitly defined by the user, a simple definition that binds the
account to the operator's own 'zalando-postgres-operator' cluster role will
be used. The default is empty.
account to the 'postgres-pod' [cluster role](../../manifests/operator-service-account-rbac.yaml#L198)
will be used. The default is empty.
* **pod_terminate_grace_period**
Postgres pods are [terminated forcefully](https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods)
@@ -318,11 +319,19 @@ CRD-based configuration.
* **default_cpu_limit**
CPU limits for the Postgres containers, unless overridden by cluster-specific
settings. The default is `3`.
settings. The default is `1`.
* **default_memory_limit**
memory limits for the Postgres containers, unless overridden by cluster-specific
settings. The default is `1Gi`.
settings. The default is `500Mi`.
* **min_cpu_limit**
hard CPU minimum what we consider to be required to properly run Postgres
clusters with Patroni on Kubernetes. The default is `250m`.
* **min_memory_limit**
hard memory minimum what we consider to be required to properly run Postgres
clusters with Patroni on Kubernetes. The default is `250Mi`.
## Operator timeouts
@@ -380,8 +389,9 @@ In the CRD-based configuration they are grouped under the `load_balancer` key.
`false`.
* **custom_service_annotations**
when load balancing is enabled, LoadBalancer service is created and
this parameter takes service annotations that are applied to service.
This key/value map provides a list of annotations that get attached to each
service of a cluster created by the operator. If the annotation key is also
provided by the cluster definition, the manifest value is used.
Optional.
* **master_dns_name_format** defines the DNS name string template for the
@@ -453,8 +463,11 @@ grouped under the `logical_backup` key.
S3 bucket to store backup results. The bucket has to be present and
accessible by Postgres pods. Default: empty.
* **logical_backup_s3_region**
Specifies the region of the bucket which is required with some non-AWS S3 storage services. The default is empty.
* **logical_backup_s3_endpoint**
When using non-AWS S3 storage, endpoint can be set as a ENV variable.
When using non-AWS S3 storage, endpoint can be set as a ENV variable. The default is empty.
* **logical_backup_s3_sse**
Specify server side encription that S3 storage is using. If empty string
@@ -579,4 +592,4 @@ scalyr sidecar. In the CRD-based configuration they are grouped under the
CPU limit value for the Scalyr sidecar. The default is `1`.
* **scalyr_memory_limit**
Memory limit value for the Scalyr sidecar. The default is `1Gi`.
Memory limit value for the Scalyr sidecar. The default is `500Mi`.
+6 -6
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@@ -65,7 +65,7 @@ our test cluster.
```bash
# get name of master pod of acid-minimal-cluster
export PGMASTER=$(kubectl get pods -o jsonpath={.items..metadata.name} -l application=spilo,version=acid-minimal-cluster,spilo-role=master)
export PGMASTER=$(kubectl get pods -o jsonpath={.items..metadata.name} -l application=spilo,cluster-name=acid-minimal-cluster,spilo-role=master)
# set up port forward
kubectl port-forward $PGMASTER 6432:5432
@@ -232,11 +232,11 @@ spec:
memory: 300Mi
```
The minimum limit to properly run the `postgresql` resource is `256m` for `cpu`
and `256Mi` for `memory`. If a lower value is set in the manifest the operator
will cancel ADD or UPDATE events on this resource with an error. If no
resources are defined in the manifest the operator will obtain the configured
[default requests](reference/operator_parameters.md#kubernetes-resource-requests).
The minimum limits to properly run the `postgresql` resource are configured to
`250m` for `cpu` and `250Mi` for `memory`. If a lower value is set in the
manifest the operator will raise the limits to the configured minimum values.
If no resources are defined in the manifest they will be obtained from the
configured [default requests](reference/operator_parameters.md#kubernetes-resource-requests).
## Use taints and tolerations for dedicated PostgreSQL nodes