Charmed Redis K8s

Channel Revision Published Runs on
latest/stable 7 12 May 2021
Ubuntu 20.04
latest/edge 38 11 Nov 2024
Ubuntu 22.04 Ubuntu 20.04
latest/edge 23 05 Dec 2022
Ubuntu 22.04 Ubuntu 20.04
juju deploy redis-k8s
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Platform:

For any problems with this charm, please report bugs here.

The code for this charm can be downloaded as follows:

git clone https://github.com/canonical/redis-k8s

Setup, build and deploy

A typical setup using snaps, for deployments to a microk8s cluster can be done using the following commands.

Install the dependencies:

sudo snap install juju --classic
sudo snap install microk8s --classic
microk8s.enable dns hostpath-storage

Create a controller named micro into the cloud microk8s:

juju bootstrap microk8s micro

In Juju, you interact with the client (the juju command on your local machine). It connects to a controller. The controller is hosted on a cloud and controls models.

juju add-model redis-model

Then you build and deploy this charm into the model you just created:

charmcraft pack
juju deploy ./redis-k8s_ubuntu-20.04-amd64.charm --resource redis-image=dataplatformoci/redis:7.0-22.04_edge

Once Redis starts up it will be running on its default port, 6379. To check it you run:

juju status

to discover the IP Redis is running behind. The output will have lines like:

Unit          Workload    Agent  Address       Ports     Message
redis-k8s/0*  active      idle   10.1.168.69

To retrieve the password to access the database, use the get-initial-admin-password action:

juju run-action redis-k8s/0 get-initial-admin-password --wait

Then, from your local machine, you can:

redis-cli -h 10.1.168.69 -p 6379 -a <password>

Another option is to port-forward the Redis pod or service port from k8s to a local port. For example, forwarding a node’s port

microk8s.kubectl --namespace=redis-model port-forward pod/redis-8485b69dfd-6hgvj 6379:6379

However, it is simpler to forward the service port as it will abstract the node name behind it:

microk8s.kubectl --namespace=redis-model port-forward service/redis 6379:6379

Then you can simply:

redis-cli

From a k8s non-charmed scenario Redis will be exposed as Service named redis on the default port 6379.

Developing

The charm is based on the operator framework. Create and activate a tox virtual environment with the development requirements:

virtualenv -p python3 venv
source venv/bin/activate
pip install -r requirements.txt

In order to check the result of a modification, rebuild and upgrade the charm:

# Consider now that you are inside redis-k8s directory.
charmcraft pack
juju upgrade-charm --path="./redis-k8s_ubuntu-20.04-amd64.charm" redis-k8s --force-units

Or you can clean up things on different levels, application, model, and controller:

juju remove-application redis-k8s --force --no-wait
juju destroy-model redis-model --destroy-storage --force --no-wait
juju destroy-controller micro --destroy-all-models

Debugging

In order to enable TRACE level at the unit to make everything shows:

juju model-config logging-config="<root>=WARNING;unit=TRACE"

To show the logs for a specific mode:

juju debug-log -m redis-model

To show the logs for all the units in the model:

microk8s.kubectl get all --namespace=redis-model

To see the logs for a specific pod:

microk8s.kubectl --namespace=redis-model logs redis-k8s-0

Testing

The Python operator framework includes a very nice harness for testing operator behaviour without full deployment.

tox -e fmt           # update your code according to linting rules
tox -e lint          # code style
tox -e unit          # unit tests
tox -e integration   # integration tests
tox                  # runs 'lint' and 'unit' environments

Canonical Contributor Agreement

Canonical welcomes contributions to the Charmed Redis Operator. Please check out our contributor agreement if you’re interested in contributing to the solution.


Help improve this document in the forum (guidelines). Last updated 1 year, 7 months ago.