This project aims to develop a Kubernetes operator for managing the deployment of Wazuh components using existing Helm charts. The operator will handle the creation and management of Wazuh master, workers, indexer, dashboard, and Snort components. It will also manage Persistent Volume Claims (PVCs), ConfigMaps, and ensure proper dependencies and cleanup using finalizers.
- Overview
- Project Scope and Team Roles
- Development Environment Setup
- Custom Resource Definitions (CRDs)
- Operator Logic and Helm Integration
- Volume and ConfigMap Management
- Testing and Validation
- Documentation
- Final Review and Deployment
- Additional Considerations
- Team Lead: Oversees the project, ensures deadlines are met, and coordinates tasks.
- DevOps: Focuses on CRD and API development.
- Developer: Handles operator logic and Helm integration.
- DevOps: Manages volume and ConfigMap creation.
- Tester: Develops testing strategies and documentation.
Ensure all team members have the following tools installed:
- Kubernetes Cluster (Minikube, Kind, or a cloud-based cluster)
- Operator SDK
- Helm
- kubectl
- Git
- CI/CD tools (GitHub Actions, Jenkins, etc.)
- Create a Git repository for the project.
- Set up a CI/CD pipeline to automate testing and deployment.
Define CRDs for Wazuh components:
- WazuhCluster CRD: Encompasses the entire Wazuh setup.
- Snort CRD: Manages Snort deployment.
- WazuhDashboard CRD: Manages the Wazuh dashboard deployment.
apiVersion: wazuh.io/v1
kind: WazuhCluster
metadata:
name: example-wazuh-cluster
spec:
master:
replicas: 1
storageSize: 10Gi
worker:
replicas: 2
storageSize: 10Gi
indexer:
replicas: 1
storageSize: 10Gi
dashboard:
enabled: true
snort:
enabled: false
Implement OpenAPI validation schemas for the CRDs to ensure the correct configuration.
- Scaffold a new operator project using the Operator SDK.
- Integrate Helm using the Helm operator plugin to manage Helm charts.
Implement the reconciliation loop to:
- Watch for changes in the CRDs.
- Deploy/update Helm releases based on the CRD specifications.
- Define and create PVCs with custom annotations.
- Manage ConfigMaps for each component.
- Ensure PVCs are created and mounted correctly, handling custom annotations for mounting paths.
Integrate PVC and ConfigMap management into the operator's reconciliation logic to ensure proper creation and mounting.
- Develop unit tests for the operator logic.
- Create integration tests to ensure the full deployment using the CRDs works as expected.
Deploy the operator in a development cluster and test the CRD deployment to ensure all components are created and managed correctly.
Provide a user guide that includes:
- Instructions on deploying the operator.
- Examples of using the CRDs.
- Configuration options and explanations.
Include a developer guide with:
- Instructions on contributing to the project.
- Code structure and explanation.
- How to run and debug the operator.
Conduct a thorough code review and make final adjustments based on feedback.
Prepare the operator for production deployment:
- Ensure all tests pass.
- Validate in a staging environment.
- Deploy to production.
Integrate monitoring and logging for the operator and Wazuh components using tools like Prometheus and Grafana.
Implement RBAC policies and security measures to ensure the operator has the necessary permissions and follows best security practices.
Plan and implement backup and recovery strategies for Wazuh data to ensure data integrity and availability.
CRD for Custom PVC
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: custompvcs.yourdomain.com
spec:
group: yourdomain.com
names:
kind: CustomPVC
listKind: CustomPVCList
plural: custompvcs
singular: custompvc
scope: Namespaced
versions:
- name: v1
served: true
storage: true
schema:
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
accessModes:
type: array
items:
type: string
resources:
type: object
properties:
requests:
type: object
properties:
storage:
type: string
CRD for Custom Config
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: customconfigs.yourdomain.com
spec:
group: yourdomain.com
names:
kind: CustomConfig
listKind: CustomConfigList
plural: customconfigs
singular: customconfig
scope: Namespaced
versions:
- name: v1
served: true
storage: true
schema:
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
configData:
type: string
Operator Logic in Rust
[dependencies]
kube = { version = "0.58.0", features = ["runtime"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
tokio = { version = "1", features = ["full"] }
Main
use kube::api::{Api, PostParams};
use kube::Client;
use kube::CustomResource;
use kube_runtime::controller::{Context, Controller, ReconcilerAction};
use serde::{Deserialize, Serialize};
use std::sync::Arc;
use tokio::time::Duration;
#[derive(CustomResource, Deserialize, Serialize, Clone, Debug)]
#[kube(group = "yourdomain.com", version = "v1", kind = "CustomPVC", namespaced)]
struct CustomPVCSpec {
access_modes: Vec<String>,
resources: ResourceRequirements,
}
#[derive(Deserialize, Serialize, Clone, Debug)]
struct ResourceRequirements {
requests: StorageRequests,
}
#[derive(Deserialize, Serialize, Clone, Debug)]
struct StorageRequests {
storage: String,
}
#[derive(CustomResource, Deserialize, Serialize, Clone, Debug)]
#[kube(group = "yourdomain.com", version = "v1", kind = "CustomConfig", namespaced)]
struct CustomConfigSpec {
config_data: String,
}
async fn reconcile_pvc(pvc: Arc<CustomPVC>, ctx: Context<Data>) -> Result<ReconcilerAction, kube::Error> {
// Here you can add the logic to handle PVC creation, update, or deletion
// Example: Create a PersistentVolumeClaim based on the CustomPVC
Ok(ReconcilerAction {
requeue_after: Some(Duration::from_secs(300)),
})
}
async fn reconcile_config(config: Arc<CustomConfig>, ctx: Context<Data>) -> Result<ReconcilerAction, kube::Error> {
// Here you can add the logic to handle Config creation, update, or deletion
// Example: Create a ConfigMap based on the CustomConfig
Ok(ReconcilerAction {
requeue_after: Some(Duration::from_secs(300)),
})
}
struct Data {
client: Client,
}
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = Client::try_default().await?;
let pvcs = Api::<CustomPVC>::all(client.clone());
let configs = Api::<CustomConfig>::all(client.clone());
let context = Context::new(Data { client: client.clone() });
Controller::new(pvcs, Default::default())
.run(reconcile_pvc, error_policy, context.clone())
.for_each(|res| async move {
match res {
Ok(o) => println!("reconciled {:?}", o),
Err(e) => eprintln!("reconcile failed: {:?}", e),
}
})
.await;
Controller::new(configs, Default::default())
.run(reconcile_config, error_policy, context)
.for_each(|res| async move {
match res {
Ok(o) => println!("reconciled {:?}", o),
Err(e) => eprintln!("reconcile failed: {:?}", e),
}
})
.await;
Ok(())
}
fn error_policy(_object: Arc<CustomPVC>, _error: &kube::Error, _ctx: Context<Data>) -> ReconcilerAction {
ReconcilerAction {
requeue_after: Some(Duration::from_secs(60)),
}
}
fn error_policy(_object: Arc<CustomConfig>, _error: &kube::Error, _ctx: Context<Data>) -> ReconcilerAction {
ReconcilerAction {
requeue_after: Some(Duration::from_secs(60)),
}
}
By following this comprehensive plan, your team can successfully develop a robust Kubernetes operator for managing Wazuh deployments. This project will leverage existing Helm charts, ensuring efficient and reliable management of Wazuh components within a Kubernetes environment. If you have any questions or need further guidance, please refer to the documentation or contact the project team.