Advanced Kubernetes

Advanced Kubernetes: Operators & CRDs

Level 1: Quick Reference

Core Concepts at a Glance

Custom Resource Definitions (CRDs) extend Kubernetes API with custom object types. Operators are controllers that manage these custom resources using domain-specific logic.

CRD vs ConfigMap Comparison:

Operator Pattern Overview

┌─────────────────────────────────────────────────────────┐
│                    Kubernetes API Server                 │
│  (stores desired state in etcd)                         │
└────────────┬────────────────────────────┬───────────────┘
             │                            │
             │ Watch                      │ Update Status
             ↓                            ↑
    ┌────────────────┐         ┌─────────────────────┐
    │   Controller   │────────→│  External Resources │
    │  (Reconcile)   │  Manage │  (DBs, APIs, etc.)  │
    └────────────────┘         └─────────────────────┘
         ↑
         │ Compare
         │
    ┌────┴─────┐
    │ Desired  │
    │ vs Actual│
    └──────────┘

Reconciliation Loop:

1. Watch - Controller watches for changes to custom resources
2. Compare - Reconcile function compares desired vs actual state
3. Act - Controller takes actions to align actual state with desired
4. Update Status - Controller updates resource status with current state
5. Requeue - Schedule next reconciliation (periodic or event-driven)

Controller Reconciliation Logic

// Simplified reconciliation pattern
func (r *MyReconciler) Reconcile(ctx context.Context, req ctrl.Request) (ctrl.Result, error) {
    // 1. Fetch the custom resource
    obj := &myapi.MyResource{}
    if err := r.Get(ctx, req.NamespacedName, obj); err != nil {
        return ctrl.Result{}, client.IgnoreNotFound(err)
    }

    // 2. Handle deletion (finalizers)
    if !obj.DeletionTimestamp.IsZero() {
        return r.handleDeletion(ctx, obj)
    }

    // 3. Reconcile external state
    if err := r.reconcileExternal(ctx, obj); err != nil {
        return ctrl.Result{}, err
    }

    // 4. Update status
    obj.Status.Ready = true
    if err := r.Status().Update(ctx, obj); err != nil {
        return ctrl.Result{}, err
    }

    return ctrl.Result{}, nil // Success, no requeue
}

Essential Checklist

Prerequisites:

• Kubernetes cluster (v1.25+) - local (kind, minikube) or remote
• kubectl configured with admin access
• Go 1.21+ installed
• Docker/Podman for building operator images

Development Tools:

• kubebuilder (v3.12+) - scaffolding and code generation
• operator-sdk (optional) - alternative framework
• controller-gen - generates CRDs, RBACs, webhooks
• kustomize - manages Kubernetes manifests

Testing Tools:

• envtest - runs API server locally for unit tests
• kind - Kubernetes in Docker for integration tests
• ginkgo - BDD testing framework (optional)

Key Files in Operator Project:

my-operator/
├── api/v1/           # CRD definitions (Go structs)
├── config/
│   ├── crd/          # Generated CRD YAML
│   ├── rbac/         # Generated RBAC YAML
│   ├── manager/      # Operator deployment
│   └── webhook/      # Webhook configurations
├── controllers/      # Reconciliation logic
├── main.go           # Entrypoint (manager setup)
└── Dockerfile        # Container image build

Quick Commands:

# Initialize operator project
kubebuilder init --domain example.com --repo github.com/myorg/my-operator

# Create CRD + controller
kubebuilder create api --group apps --version v1 --kind MyApp

# Generate manifests
make manifests

# Run locally (connects to current kubeconfig cluster)
make install run

# Run tests
make test

# Build and deploy
make docker-build docker-push deploy IMG=myregistry/my-operator:v1.0.0

Common Pitfalls:

• ❌ Forgetting to update CRD when changing API structs → run make manifests
• ❌ Infinite reconciliation loops → use ctrl.Result{RequeueAfter: time.Minute}
• ❌ Not handling deletion properly → implement finalizers
• ❌ Blocking operations in reconcile → use background workers for long tasks
• ❌ Not setting owner references → orphaned resources on deletion

When to Use Operators:

• ✅ Managing complex stateful applications (databases, message queues)
• ✅ Automating operational tasks (backups, upgrades, scaling)
• ✅ Integrating with external systems (cloud APIs, SaaS platforms)
• ✅ Enforcing organizational policies (cost controls, security standards)
• ❌ Simple deployments (use Helm or plain manifests)
• ❌ One-time configuration changes (use Jobs or manual kubectl)

Level 2: Implementation Guide

📚 Complete Examples: See REFERENCE.md for full controller implementations, webhook code, test suites, and production-ready patterns.

2.1 Custom Resource Definitions (CRDs)

CRDs extend Kubernetes API with custom object types validated by OpenAPI v3 schemas.

Key Components:

• Spec - Desired state (user input)
• Status - Observed state (controller output, separate subresource)
• Validation - Markers like +kubebuilder:validation:Minimum=1
• Versions - Support multiple API versions with conversion webhooks

Essential Kubebuilder Markers:

// +kubebuilder:validation:Minimum=1
// +kubebuilder:validation:Maximum=10
Size int32 `json:"size"`

// +kubebuilder:validation:Pattern=`^[a-z0-9.-]+/[a-z0-9.-]+:[a-z0-9.-]+$`
Image string `json:"image"`

// +optional
Port int32 `json:"port,omitempty"`

Printcolumns for kubectl get:

// +kubebuilder:printcolumn:name="Ready",type=integer,JSONPath=`.status.readyReplicas`
// +kubebuilder:printcolumn:name="Phase",type=string,JSONPath=`.status.phase`

Subresources:

• +kubebuilder:subresource:status - Separate status endpoint
• +kubebuilder:subresource:scale - Enable kubectl scale

Generate CRDs: make manifests → outputs to config/crd/bases/

See REFERENCE.md for complete CRD definition, versioning, and conversion webhooks.

2.2 Operators and Controllers

Reconciliation Loop:

1. Watch - Controller watches for resource changes (via informers/caches)
2. Compare - Reconcile compares desired vs actual state
3. Act - Create/update/delete Kubernetes resources to match desired state
4. Update Status - Set status conditions (Ready, Progressing, Degraded)
5. Requeue - Schedule next reconciliation (event-driven or periodic)

Controller Pattern:

func (r *Reconciler) Reconcile(ctx, req) (ctrl.Result, error) {
    // 1. Fetch custom resource
    obj := &MyResource{}
    if err := r.Get(ctx, req.NamespacedName, obj); err != nil {
        return ctrl.Result{}, client.IgnoreNotFound(err)
    }

    // 2. Handle deletion (finalizers)
    if !obj.DeletionTimestamp.IsZero() {
        return r.handleDeletion(ctx, obj)
    }

    // 3. Reconcile external state
    if err := r.reconcileDeployment(ctx, obj); err != nil {
        return ctrl.Result{RequeueAfter: 30*time.Second}, err
    }

    // 4. Update status
    obj.Status.Ready = true
    return ctrl.Result{}, r.Status().Update(ctx, obj)
}

Key Functions:

• controllerutil.CreateOrUpdate() - Idempotent create/update
• controllerutil.SetControllerReference() - Automatic garbage collection
• controllerutil.AddFinalizer() - Cleanup before deletion

Error Handling:

• Transient errors - Requeue with delay: ctrl.Result{RequeueAfter: 30s}
• Permanent errors - Set degraded condition, don't requeue
• Unknown errors - Return error for exponential backoff

See REFERENCE.md for complete controller implementation with finalizers, owner references, and error handling.

2.3 Admission Webhooks

Webhooks intercept API requests before persistence for validation/mutation.

Types:

• Validating - Accept/reject requests (JWT validation, cross-field checks)
• Mutating - Modify requests (inject sidecars, set defaults)

Implementation:

// Validating webhook
func (r *MyApp) ValidateCreate() (admission.Warnings, error) {
    if r.Spec.Size < 1 || r.Spec.Size > 100 {
        return nil, fmt.Errorf("size must be 1-100")
    }
    return nil, nil
}

// Mutating webhook (Defaulter)
func (r *MyApp) Default() {
    if r.Spec.Port == 0 {
        r.Spec.Port = 8080
    }
}

Setup:

1. Implement webhook.Validator or webhook.Defaulter interface
2. Add kubebuilder marker: // +kubebuilder:webhook:path=/validate-...,mutating=false,...
3. make manifests generates webhook config
4. Deploy with cert-manager for TLS certificates

Requirements:

• TLS certificates (use cert-manager)
• Service routing webhook traffic to operator
• failurePolicy: fail (default) - reject on webhook errors

See REFERENCE.md for complete webhook examples, cert-manager setup, and validation patterns.

2.4 Leader Election & High Availability

Leader election ensures only one controller instance reconciles at a time (prevents race conditions).

Configuration:

mgr, err := ctrl.NewManager(ctrl.GetConfigOrDie(), ctrl.Options{
    LeaderElection:          true,
    LeaderElectionID:        "myapp-controller.example.com",
    LeaderElectionNamespace: "myapp-system",
})

How It Works:

• Uses Kubernetes Lease resource for coordination
• One replica acquires lease, becomes leader
• Other replicas standby, ready to take over on leader failure
• Leader renews lease every 10s (default)

Deployment:

spec:
  replicas: 3  # High availability
  containers:
  - args:
    - --leader-elect

See REFERENCE.md for RBAC requirements and lease configuration tuning.

2.5 Testing Operators

Unit Testing with envtest:

• Runs local API server (no kubelet, no containers)
• Fast tests (milliseconds per test)
• Full CRD validation

Setup:

testEnv = &envtest.Environment{
    CRDDirectoryPaths: []string{filepath.Join("..", "config", "crd", "bases")},
}
cfg, _ := testEnv.Start()
k8sClient, _ = client.New(cfg, client.Options{Scheme: scheme.Scheme})

Test Pattern:

It("Should create Deployment", func() {
    myApp := &MyApp{...}
    Expect(k8sClient.Create(ctx, myApp)).Should(Succeed())

    deployment := &Deployment{}
    Eventually(func() error {
        return k8sClient.Get(ctx, namespacedName, deployment)
    }, timeout, interval).Should(Succeed())

    Expect(*deployment.Spec.Replicas).To(Equal(int32(3)))
})

Integration Testing with kind:

kind create cluster
make docker-build docker-push deploy IMG=operator:test
kubectl wait --for=condition=available deployment/operator
kubectl apply -f test-cr.yaml

See REFERENCE.md for complete test suites, ginkgo patterns, and E2E test scripts.

2.6 Best Practices & Anti-Patterns

✅ Best Practices:

• Idempotent reconciliation - Same result on multiple calls
• Use CreateOrUpdate - Simplifies create/update logic
• Set owner references - Automatic garbage collection
• Finalizers for cleanup - External resources (cloud APIs, databases)
• Status conditions - Ready, Progressing, Degraded with detailed messages
• Structured logging - JSON format with consistent key-value pairs

❌ Anti-Patterns:

• Blocking operations - Don't make sync calls that block reconcile
• Infinite loops - Updating spec in reconcile triggers another reconcile
• Hardcoded values - Use env vars/ConfigMaps
• Missing watches - Ensure RBAC allows watching dependent resources
• No health checks - Implement /healthz and /readyz endpoints

Requeue Strategies:

// Immediate requeue (rate-limited)
return ctrl.Result{Requeue: true}, nil

// Requeue after delay
return ctrl.Result{RequeueAfter: 30 * time.Second}, nil

// No requeue (wait for watch event)
return ctrl.Result{}, nil

// Error (exponential backoff)
return ctrl.Result{}, fmt.Errorf("transient error")

See REFERENCE.md for advanced patterns, multi-cluster operators, and OLM integration.

Level 3: Deep Dive Resources

Advanced Operator Patterns

State Machine Operators

• Model complex workflows as finite state machines

• Use status phases to track progression through states

• Implement state transition validations and guards

Multi-Tenancy Operators

• Namespace isolation strategies

• Shared vs dedicated operator deployments

• RBAC scoping for tenant-specific resources

GitOps Integration

• Reconcile against Git repository state

• Implement drift detection and auto-remediation

• Use annotations to track source commits

External Secret Management

• Integrate with Vault, AWS Secrets Manager, or Azure Key Vault

• Implement secret rotation without downtime

• Use external-secrets operator pattern

Multi-Cluster Operators

Architecture Patterns:

1. Hub-Spoke Model - Central operator manages multiple clusters

2. Federated Model - Operators in each cluster coordinate via shared state

3. Active-Active - Operators in multiple clusters handle same resources

Implementation Considerations:

• Use cluster-api for cluster lifecycle management

• Implement cross-cluster service discovery (e.g., Submariner)

• Handle network partitions and split-brain scenarios

• Use consensus protocols for distributed state

Tools:

• KubeFed (deprecated) - Kubernetes Federation v2

• OCM (Open Cluster Management) - CNCF sandbox project

• Argo CD ApplicationSet - Multi-cluster GitOps

• Crossplane - Universal control plane for multi-cloud

Operator Lifecycle Manager (OLM)

What is OLM?

• Package manager for Kubernetes operators

• Handles installation, upgrades, and dependency management

• Used by OpenShift and available as CNCF project

OLM Components:

• Catalog - Repository of operator metadata (CSV, CRD)

• Subscription - Declarative operator installation

• InstallPlan - Execution plan for operator installation

• ClusterServiceVersion (CSV) - Operator metadata and deployment info

Creating an OLM Bundle:

# Generate bundle manifests

operator-sdk generate bundle --version 1.0.0



# Validate bundle

operator-sdk bundle validate ./bundle



# Build and push bundle image

docker build -f bundle.Dockerfile -t myregistry/myapp-operator-bundle:v1.0.0 .

docker push myregistry/myapp-operator-bundle:v1.0.0



# Add to catalog

opm index add --bundles myregistry/myapp-operator-bundle:v1.0.0 \

  --tag myregistry/myapp-catalog:latest

OLM Best Practices:

• Define proper upgrade paths in CSV

• Test upgrade scenarios (skip versions, downgrades)

• Use semantic versioning

• Document breaking changes in release notes

Advanced Testing Strategies

Property-Based Testing:

• Use tools like gopter for property-based tests

• Test invariants across state transitions

• Generate random valid/invalid inputs

Chaos Testing:

• Use Chaos Mesh or Litmus to inject failures

• Test operator resilience to node failures, network partitions

• Verify recovery from partial updates

Performance Testing:

• Benchmark reconciliation loop latency

• Test with 1000+ custom resources

• Measure memory/CPU usage under load

• Use profiling tools (pprof) for bottleneck analysis

Production Readiness Checklist

Observability:

• Metrics exported via Prometheus endpoint

• Structured logging with levels (info, warn, error)

• Distributed tracing (OpenTelemetry)

• Custom metrics for business logic (e.g., backup success rate)

Security:

• RBAC follows least-privilege principle

• Secrets encrypted at rest and in transit

• Pod Security Standards enforced

• Network policies restrict traffic

• Image vulnerability scanning in CI/CD

Reliability:

• Leader election enabled for HA

• Graceful shutdown with finalizers

• Rate limiting to prevent API server overload

• Circuit breakers for external dependencies

• Backup/restore procedures documented

Operational:

• Runbooks for common failure scenarios

• SLO/SLI definitions (e.g., 99.9% reconciliation success)

• Alerting rules for critical conditions

• Upgrade/rollback procedures tested

• Capacity planning documented

Resources and Further Learning

Official Documentation:

• Kubebuilder Book

• Operator SDK Documentation

• Kubernetes Controller Runtime

Bundled Resources in This Directory:

1. templates/crd-definition.yaml - Complete CRD with OpenAPI schema

2. templates/operator-scaffold.go - Controller with reconcile logic

3. templates/webhook.go - Validating and mutating webhooks

4. templates/rbac.yaml - RBAC manifests for operator deployment

5. scripts/setup-operator-dev.sh - Development environment setup

6. resources/operator-patterns.md - Common patterns and anti-patterns

Community Resources:

• CNCF Operator White Paper

• Awesome Operators

• Kubernetes Slack #kubebuilder

Example Production Operators:

• etcd-operator

• prometheus-operator

• cert-manager

• strimzi-kafka-operator

Next Steps

1. Build a Simple Operator - Start with a basic CRD and controller

2. Add Validation - Implement admission webhooks

3. Test Thoroughly - Write unit tests with envtest, integration tests with kind

4. Observe in Production - Deploy with metrics, logging, and tracing

5. Iterate - Add features based on operational experience

Advanced Topics to Explore:

• Custom admission plugins

• API aggregation and extension API servers

• Operator Hub and OLM

• Multi-cluster federation

• Operator performance optimization

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