This document contains tips, workflows, and more for local development within this repository.
More documentation for maintainers and developers of Fleet can be found in docs/.
Development scripts are provided under /dev
to make it easier setting up a local development Fleet standalone environment and running the E2E tests against it. These scripts are intended only for local Fleet development, not for production nor any other real world scenario.
Setting up the local development environment and running the E2E tests is described in the /dev/README.md.
All steps in this guide assume your current working directory is the root of the repository. Moreover, this guide was written for Unix-like developer environments, so you may need to modify some steps if you are using a non-Unix-like developer environment (i.e. Windows).
We need to use a registry to store fleet-agent
developer builds.
Using a personal DockerHub repository is usually a suitable choice.
The full repository name must be <your-choice>/fleet-agent
.
Now, we need export an environment variable with your repository name as the value. This will be used when building, pushing, and deploying your agent.
Note: the value for this variable should not include
/fleet-agent
. For example, if your full DockerHub repository name isfoobar/fleet-agent
, the value used below should befoobar
.
Export the new AGENT_REPO
variable and use the aforementioned value.
export AGENT_REPO=<your-OCI-image-repository>
We need a local cluster to work with. For this guide, we will use k3d.
k3d cluster create <NAME>
If you have changed Go code, you may need to generate.
go generate
First, we need to run Rancher locally. You can use the Rancher Wiki for information on how to do so.
If you are unsure about which method you would like use for tunneling to localhost, we recommend ngrok or tunnelware.
Now, let's build and push your fleet-agent
(linux-amd64
image by default), if applicable.
(
go fmt ./...
REPO=$AGENT_REPO make agent-dev
docker push $AGENT_REPO/fleet-agent:dev
)
In the Rancher Dashboard, navigate to the fleet-controller
ConfigMap.
This is likely located in a cattle-fleet-*
or fleet-*
namespace.
Replace the existing agent-related fields with the following information:
- your agent image and tag
- the image pull policy to
Always
(for iterative development)
Once the ConfigMap has been updated, edit the fleet-controller
Deployment and scale down its replicas
to 0
.
With that change, we can now run the controller locally.
(
go fmt ./...
go run cmd/fleetcontroller/main.go
)
Optional: you can test Rancher's FleetWorkspaces
feature by moving Fleet clusters to another workspace in the "Continuous Delivery" section of the Rancher UI.
You can create your own workspace using the API or the UI.
Ensure that clusters are in an "Active" state after migration.
The controller should be running in your terminal window/pane! You can now create GitRepo custom resource objects and test Fleet locally.
If you need to test Fleet during Rancher startup, you may want to use a custom fork. The following steps can help you do so:
- Fork rancher/fleet and commit your changes to a branch of your choice
- Change image names and tags for the Helm chart(s) for your custom development image(s) accordingly
- Publish images corresponding to the names and tags changed in the Helm chart(s)
- Tag your fork with a SemVer-compliant tag that's "greater" than the Fleet chart tag in your chosen version of Rancher (note: the exact tag name is not that important, but we want it to be "grater" just in case there's a collision for the "latest" version)
- Fork rancher/charts and update branch
dev-v2.x
with your changes to thefleet
,fleet-crd
, andfleet-agent
packages - You'll need to change the chart URL to your charts'
tgz
location (this may need to be self-hosted) - Finally, commits those changes, execute
make charts
and commit those changes in a second commit - Fork rancher/rancher and change the charts URL to point to your fork
- Start Rancher locally (instructions: Rancher Wiki) and your fork's chart should be deployed
Continuous Integration executes most E2E tests against Fleet Standalone. For developing purposes we recommend using our dev scripts instead of this how-to. We keep this part only for documental reasons.
Build and push your fleet-agent
(linux-amd64
image by default), install your Fleet charts, and then replace the controller deployment with your local controller build.
(
go fmt ./...
REPO=$AGENT_REPO make agent-dev
docker push $AGENT_REPO/fleet-agent:dev
for i in cattle-fleet-system fleet-default fleet-local; do kubectl create namespace $i; done
helm install -n cattle-fleet-system fleet-crd ./charts/fleet-crd
helm install -n cattle-fleet-system fleet --set agentImage.repository=$AGENT_REPO/fleet-agent --set agentImage.imagePullPolicy=Always ./charts/fleet
kubectl delete deployment -n cattle-fleet-system fleet-controller
go run cmd/fleetcontroller/main.go
)
Alternatively, if the agent's code has been unchanged, you can use the latest agent instead. We'll use the latest Git tag for this, and assume it is available on DockerHub.
(
go fmt ./...
for i in cattle-fleet-system fleet-default fleet-local; do kubectl create namespace $i; done
helm install -n cattle-fleet-system fleet-crd ./charts/fleet-crd
helm install -n cattle-fleet-system fleet --set agentImage.tag=$(git tag --sort=taggerdate | tail -1) ./charts/fleet
kubectl delete deployment -n cattle-fleet-system fleet-controller
go run cmd/fleetcontroller/main.go
)
Since the Fleet components' controller framework of choice is Wrangler, we can share caches and avoid unnecessary API requests.
Moreover, we can customize enqueue logic to decrease load on the cluster and its components.
For example: if a BundleDeployment
encounters failure and meets certain criteria such that it'll never become active, we should move the object to a permanent error state that requires manual triage.
While reconciling state and automatically attempting to reach desired state is... desired..., we should find opportunities to eliminate loops, scheduling logic, and frequent re-enqueuing so that we decrease CPU and network load.
Solving example scenario may even result in manual triage for the BundleDeployment
, which could be a good trade-off for the user!
To examine Fleet network load, we can use Istio pod injection to monitor network traffic and observe it with Kiali. If Istio is installed via the Rancher UI, you can perform pod injection with a checkbox per pod. To learn more, please refer to the Istio documentation for Rancher.