Advanced Pod Scheduling: Affinity, Taints, Tolerations, Topology
Fine-tune pod placement across your Kubernetes cluster using node affinity, pod affinity/anti-affinity, taints/tolerations, and topology spread constraints.
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ConfigMaps and Secrets: Managing Application Configuration in Kubernetes
Inject configuration data and sensitive information into Kubernetes pods using ConfigMaps and Secrets. Learn about mounting strategies, environment variables, and security best practices.
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.
Kubernetes High Availability: HPA, Pod Disruption Budgets, Multi-AZ
Build resilient Kubernetes applications with Horizontal Pod Autoscaler, Pod Disruption Budgets, and multi-availability zone deployments for production workloads.
Multi-Cluster Kubernetes: Federation, Cross-Cluster Networking, Registries
Manage multiple Kubernetes clusters across regions and clouds using federation, cluster registries, and cross-cluster service discovery.
Kubernetes Network Policies: Securing Pod-to-Pod Communication
Implement microsegmentation in Kubernetes using Network Policies to control traffic flow between pods and enforce zero-trust networking.
Kubernetes Resource Limits: CPU, Memory, and Quality of Service
Configure CPU and memory requests and limits to ensure fair scheduling, prevent resource starvation, and achieve predictable performance in Kubernetes clusters.
Kubernetes Services: ClusterIP, NodePort, LoadBalancer, Ingress
Master Kubernetes service types and Ingress controllers to expose your applications inside and outside the cluster with proper load balancing and routing.
Kubernetes Storage: PersistentVolumes, Claims, and StorageClasses
Implement persistent storage in Kubernetes using PersistentVolumes, PersistentVolumeClaims, and StorageClasses for stateful applications across different cloud providers.
Kubernetes Workload Resources: Deployments, StatefulSets, and DaemonSets
Understand Kubernetes workload resources—when to use Deployments for stateless apps, StatefulSets for clustered workloads, and DaemonSets for node-level agents.