Approach summary: build a controller using client-go informers + workqueue that watches ExternalBucket CRD; reconcile ensures an S3 bucket exists/has desired policy and updates CR status. Make it idempotent, scale-safe, and robust to transient failures.Key components:- Informer for ExternalBucket (SharedIndexInformer)- Rate-limiting workqueue (workqueue.RateLimitingInterface)- Reconcile worker loop (pop key, sync, handle errors)- S3 client wrapper with idempotent operations (CreateBucketIfNotExists, PutBucketPolicy, HeadBucket)- Status updates on CR (conditions: Ready, Error)- RBAC rules: allow get/list/watch/update/status on ExternalBucket, secrets, and core resourcesPseudo-code critical paths:go
// onAdd/onUpdate/onDelete -> enqueue(key)
func worker() {
for processNext() {}
}
func processNext() bool {
key, quit := queue.Get()
if quit { return false }
defer queue.Done(key)
if err := syncHandler(key.(string)); err != nil {
queue.AddRateLimited(key)
logger.Error(err)
} else {
queue.Forget(key)
}
return true
}
func syncHandler(key string) error {
ns, name := splitKey(key)
eb := lister.ExternalBuckets(ns).Get(name) // may return notFound -> cleanup
if eb == nil { return nil } // resource deleted -> ensure S3 bucket removed if finalizer present
// idempotent reconcile:
desired := eb.Spec.BucketName
// safe read: HeadBucket
exists, err := s3.HeadBucket(desired)
if err != nil && !IsNotFound(err) { return transientErr(err) }
if !exists {
if err := s3.CreateBucketIfNotExists(desired, eb.Spec.Region); err != nil { setStatusError(...); return err }
}
if err := s3.EnsureBucketPolicy(desired, eb.Spec.Policy); err != nil { setStatusError(...); return err }
// update status to Ready
if !statusReady(eb) { updateStatusReady(eb) }
return nil
}
Error handling & idempotency:- Treat API/network errors as transient: requeue with backoff.- Make S3 ops idempotent: CreateBucketIfNotExists uses HeadBucket before Create; PutBucketPolicy is PUT (idempotent).- Use finalizers to ensure deletion logic (cleanup S3) runs reliably.- Update status conditions atomically; optimistic retries on conflicts.Scalability & reliability:- Use informer cache and listers to avoid API churn.- Rate-limited queue to avoid hot loops; exponential backoff for failures.- Use leader election for HA controllers.RBAC (example):- apiGroups: ["storage.example.com"], resources: ["externalbuckets","externalbuckets/status"], verbs: ["get","list","watch","update","patch"]- core/v1 secrets: ["get","list","watch"] (if creds stored in Secret)- core/v1 events: ["create","patch"]- Optionally: permissions for finalizers/ownerrefs.Notes:- Add metrics (reconcile duration, error counts), structured logs, alerts for repeated failures.- Secure S3 creds via IRSA/KMS and least-privilege IAM: allow s3:CreateBucket, s3:PutBucketPolicy, s3:HeadBucket, s3:DeleteBucket for specified bucket prefix.