Building Custom Kubernetes Controllers and Operators
Extend Kubernetes with custom controllers and operators to automate management of complex stateful applications beyond built-in workload types.
Extend Kubernetes with custom controllers and operators to automate management of complex stateful applications beyond built-in workload types.
Build resilient Kubernetes applications with Horizontal Pod Autoscaler, Pod Disruption Budgets, and multi-availability zone deployments for production workloads.
Manage multiple Kubernetes clusters across regions and clouds using federation, cluster registries, and cross-cluster service discovery.
Implement microsegmentation in Kubernetes using Network Policies to control traffic flow between pods and enforce zero-trust networking.
Configure CPU and memory requests and limits to ensure fair scheduling, prevent resource starvation, and achieve predictable performance in Kubernetes clusters.
Master Kubernetes service types and Ingress controllers to expose your applications inside and outside the cluster with proper load balancing and routing.
Implement persistent storage in Kubernetes using PersistentVolumes, PersistentVolumeClaims, and StorageClasses for stateful applications across different cloud providers.
Understand Kubernetes workload resources—when to use Deployments for stateless apps, StatefulSets for clustered workloads, and DaemonSets for node-level agents.
Use Kustomize for declarative Kubernetes configuration management without Helm's templating—overlays, patches, and environment-specific customization.
Design for multi-cloud environments—avoiding vendor lock-in, managing multiple cloud providers, and understanding the real tradeoffs of multi-cloud architectures.