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Stage 06 · Containers & Platforms

Kubernetes Complete Course

Master Kubernetes from API objects and workloads through networking, storage, scheduling, security, autoscaling, extensibility, cluster lifecycle, observability, upgrades, scalability, and production operations.

Browse curriculum View all chapters
K8S
46chapters
230lessons
Intermediatestarting level
Hands-onlearning mode
Course stateCurriculum ready

Course brief

A comprehensive Kubernetes curriculum from first Pod to production cluster engineering.

This course is organized as a progressive operational curriculum from fundamentals through advanced production practice. Lesson files are reserved with stable repository paths so content can be added later without changing URLs or navigation.

By the end

You will be able to

  • Understand Kubernetes control-plane architecture, declarative APIs, reconciliation, and workload controllers
  • Operate applications with Services, Gateway/Ingress, storage, scheduling, autoscaling, and disruption controls
  • Apply RBAC, admission, Pod Security, NetworkPolicy, encryption, and software-supply-chain safeguards
  • Install, upgrade, back up, observe, troubleshoot, and scale Kubernetes clusters safely
  • Extend Kubernetes with CRDs, operators, webhooks, and production platform patterns

Complete syllabus

46 chapters in prerequisite order.

The structure goes beyond command references and feature lists. It includes architecture, security, reliability, troubleshooting, automation, governance, performance, and realistic production workflows.

01

Chapter 1

Kubernetes Foundations, Declarative Infrastructure, Reconciliation, Desired State, and Cluster Mental Model

5 lessons
01
Kubernetes Foundations, Declarative Infrastructure, Reconciliation, Desired State, and Cluster Mental Model: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Kubernetes Foundations, Declarative Infrastructure, Reconciliation, Desired State, and Cluster Mental Model: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Kubernetes Foundations, Declarative Infrastructure, Reconciliation, Desired State, and Cluster Mental Model: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Kubernetes Foundations, Declarative Infrastructure, Reconciliation, Desired State, and Cluster Mental Model: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Kubernetes Foundations, Declarative Infrastructure, Reconciliation, Desired State, and Cluster Mental ModelReserved in course structure
Planned
02

Chapter 2

Local Kubernetes Labs with kind, minikube, k3d, and Cluster Context Safety

5 lessons
01
Local Kubernetes Labs with kind, minikube, k3d, and Cluster Context Safety: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Local Kubernetes Labs with kind, minikube, k3d, and Cluster Context Safety: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Local Kubernetes Labs with kind, minikube, k3d, and Cluster Context Safety: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Local Kubernetes Labs with kind, minikube, k3d, and Cluster Context Safety: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Local Kubernetes Labs with kind, minikube, k3d, and Cluster Context SafetyReserved in course structure
Planned
03

Chapter 3

Control Plane and Node Architecture: API Server, etcd, Scheduler, Controllers, Kubelet, and Runtime

5 lessons
01
Control Plane and Node Architecture: API Server, etcd, Scheduler, Controllers, Kubelet, and Runtime: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Control Plane and Node Architecture: API Server, etcd, Scheduler, Controllers, Kubelet, and Runtime: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Control Plane and Node Architecture: API Server, etcd, Scheduler, Controllers, Kubelet, and Runtime: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Control Plane and Node Architecture: API Server, etcd, Scheduler, Controllers, Kubelet, and Runtime: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Control Plane and Node Architecture: API Server, etcd, Scheduler, Controllers, Kubelet, and RuntimeReserved in course structure
Planned
04

Chapter 4

Kubernetes API Resources, Group/Version/Kind, Metadata, spec/status, Discovery, and API Conventions

5 lessons
01
Kubernetes API Resources, Group/Version/Kind, Metadata, spec/status, Discovery, and API Conventions: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Kubernetes API Resources, Group/Version/Kind, Metadata, spec/status, Discovery, and API Conventions: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Kubernetes API Resources, Group/Version/Kind, Metadata, spec/status, Discovery, and API Conventions: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Kubernetes API Resources, Group/Version/Kind, Metadata, spec/status, Discovery, and API Conventions: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Kubernetes API Resources, Group/Version/Kind, Metadata, spec/status, Discovery, and API ConventionsReserved in course structure
Planned
05

Chapter 5

kubectl Fundamentals, Contexts, Namespaces, Output Formats, Explain, Diff, Apply, Patch, and Debug

5 lessons
01
kubectl Fundamentals, Contexts, Namespaces, Output Formats, Explain, Diff, Apply, Patch, and Debug: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
kubectl Fundamentals, Contexts, Namespaces, Output Formats, Explain, Diff, Apply, Patch, and Debug: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
kubectl Fundamentals, Contexts, Namespaces, Output Formats, Explain, Diff, Apply, Patch, and Debug: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
kubectl Fundamentals, Contexts, Namespaces, Output Formats, Explain, Diff, Apply, Patch, and Debug: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — kubectl Fundamentals, Contexts, Namespaces, Output Formats, Explain, Diff, Apply, Patch, and DebugReserved in course structure
Planned
06

Chapter 6

YAML Manifests, Declarative Apply, Server-Side Apply, Field Managers, Ownership, and Configuration Discipline

5 lessons
01
YAML Manifests, Declarative Apply, Server-Side Apply, Field Managers, Ownership, and Configuration Discipline: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
YAML Manifests, Declarative Apply, Server-Side Apply, Field Managers, Ownership, and Configuration Discipline: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
YAML Manifests, Declarative Apply, Server-Side Apply, Field Managers, Ownership, and Configuration Discipline: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
YAML Manifests, Declarative Apply, Server-Side Apply, Field Managers, Ownership, and Configuration Discipline: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — YAML Manifests, Declarative Apply, Server-Side Apply, Field Managers, Ownership, and Configuration DisciplineReserved in course structure
Planned
07

Chapter 7

Namespaces, Labels, Selectors, Annotations, Finalizers, Owner References, and Resource Organization

5 lessons
01
Namespaces, Labels, Selectors, Annotations, Finalizers, Owner References, and Resource Organization: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Namespaces, Labels, Selectors, Annotations, Finalizers, Owner References, and Resource Organization: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Namespaces, Labels, Selectors, Annotations, Finalizers, Owner References, and Resource Organization: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Namespaces, Labels, Selectors, Annotations, Finalizers, Owner References, and Resource Organization: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Namespaces, Labels, Selectors, Annotations, Finalizers, Owner References, and Resource OrganizationReserved in course structure
Planned
08

Chapter 8

Pods, Multi-Container Patterns, Init Containers, Sidecars, Lifecycle Hooks, and Pod Phases

5 lessons
01
Pods, Multi-Container Patterns, Init Containers, Sidecars, Lifecycle Hooks, and Pod Phases: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Pods, Multi-Container Patterns, Init Containers, Sidecars, Lifecycle Hooks, and Pod Phases: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Pods, Multi-Container Patterns, Init Containers, Sidecars, Lifecycle Hooks, and Pod Phases: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Pods, Multi-Container Patterns, Init Containers, Sidecars, Lifecycle Hooks, and Pod Phases: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Pods, Multi-Container Patterns, Init Containers, Sidecars, Lifecycle Hooks, and Pod PhasesReserved in course structure
Planned
09

Chapter 9

Container Probes, Startup/Liveness/Readiness, Graceful Termination, Restart Behavior, and Application Health

5 lessons
01
Container Probes, Startup/Liveness/Readiness, Graceful Termination, Restart Behavior, and Application Health: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Container Probes, Startup/Liveness/Readiness, Graceful Termination, Restart Behavior, and Application Health: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Container Probes, Startup/Liveness/Readiness, Graceful Termination, Restart Behavior, and Application Health: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Container Probes, Startup/Liveness/Readiness, Graceful Termination, Restart Behavior, and Application Health: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Container Probes, Startup/Liveness/Readiness, Graceful Termination, Restart Behavior, and Application HealthReserved in course structure
Planned
10

Chapter 10

Resource Requests and Limits, QoS Classes, OOM Behavior, CPU Throttling, HugePages, and Resource Sizing

5 lessons
01
Resource Requests and Limits, QoS Classes, OOM Behavior, CPU Throttling, HugePages, and Resource Sizing: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Resource Requests and Limits, QoS Classes, OOM Behavior, CPU Throttling, HugePages, and Resource Sizing: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Resource Requests and Limits, QoS Classes, OOM Behavior, CPU Throttling, HugePages, and Resource Sizing: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Resource Requests and Limits, QoS Classes, OOM Behavior, CPU Throttling, HugePages, and Resource Sizing: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Resource Requests and Limits, QoS Classes, OOM Behavior, CPU Throttling, HugePages, and Resource SizingReserved in course structure
Planned
11

Chapter 11

ConfigMaps, Secrets, Environment Injection, Projected Volumes, Immutable Config, and Configuration Reloading

5 lessons
01
ConfigMaps, Secrets, Environment Injection, Projected Volumes, Immutable Config, and Configuration Reloading: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
ConfigMaps, Secrets, Environment Injection, Projected Volumes, Immutable Config, and Configuration Reloading: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
ConfigMaps, Secrets, Environment Injection, Projected Volumes, Immutable Config, and Configuration Reloading: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
ConfigMaps, Secrets, Environment Injection, Projected Volumes, Immutable Config, and Configuration Reloading: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — ConfigMaps, Secrets, Environment Injection, Projected Volumes, Immutable Config, and Configuration ReloadingReserved in course structure
Planned
12

Chapter 12

ReplicaSets and Deployments, Rolling Updates, Rollback, Revision History, and Deployment Strategies

5 lessons
01
ReplicaSets and Deployments, Rolling Updates, Rollback, Revision History, and Deployment Strategies: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
ReplicaSets and Deployments, Rolling Updates, Rollback, Revision History, and Deployment Strategies: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
ReplicaSets and Deployments, Rolling Updates, Rollback, Revision History, and Deployment Strategies: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
ReplicaSets and Deployments, Rolling Updates, Rollback, Revision History, and Deployment Strategies: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — ReplicaSets and Deployments, Rolling Updates, Rollback, Revision History, and Deployment StrategiesReserved in course structure
Planned
13

Chapter 13

StatefulSets, Stable Identity, Ordered Operations, Persistent Storage, and Stateful Application Patterns

5 lessons
01
StatefulSets, Stable Identity, Ordered Operations, Persistent Storage, and Stateful Application Patterns: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
StatefulSets, Stable Identity, Ordered Operations, Persistent Storage, and Stateful Application Patterns: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
StatefulSets, Stable Identity, Ordered Operations, Persistent Storage, and Stateful Application Patterns: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
StatefulSets, Stable Identity, Ordered Operations, Persistent Storage, and Stateful Application Patterns: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — StatefulSets, Stable Identity, Ordered Operations, Persistent Storage, and Stateful Application PatternsReserved in course structure
Planned
14

Chapter 14

DaemonSets, Node-Level Services, Update Strategies, Tolerations, and Infrastructure Agents

5 lessons
01
DaemonSets, Node-Level Services, Update Strategies, Tolerations, and Infrastructure Agents: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
DaemonSets, Node-Level Services, Update Strategies, Tolerations, and Infrastructure Agents: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
DaemonSets, Node-Level Services, Update Strategies, Tolerations, and Infrastructure Agents: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
DaemonSets, Node-Level Services, Update Strategies, Tolerations, and Infrastructure Agents: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — DaemonSets, Node-Level Services, Update Strategies, Tolerations, and Infrastructure AgentsReserved in course structure
Planned
15

Chapter 15

Jobs, CronJobs, Completion Modes, Backoff, Deadlines, Parallelism, and Reliable Batch Processing

5 lessons
01
Jobs, CronJobs, Completion Modes, Backoff, Deadlines, Parallelism, and Reliable Batch Processing: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Jobs, CronJobs, Completion Modes, Backoff, Deadlines, Parallelism, and Reliable Batch Processing: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Jobs, CronJobs, Completion Modes, Backoff, Deadlines, Parallelism, and Reliable Batch Processing: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Jobs, CronJobs, Completion Modes, Backoff, Deadlines, Parallelism, and Reliable Batch Processing: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Jobs, CronJobs, Completion Modes, Backoff, Deadlines, Parallelism, and Reliable Batch ProcessingReserved in course structure
Planned
16

Chapter 16

Services: ClusterIP, NodePort, LoadBalancer, ExternalName, Endpoints, EndpointSlices, and Traffic Policies

5 lessons
01
Services: ClusterIP, NodePort, LoadBalancer, ExternalName, Endpoints, EndpointSlices, and Traffic Policies: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Services: ClusterIP, NodePort, LoadBalancer, ExternalName, Endpoints, EndpointSlices, and Traffic Policies: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Services: ClusterIP, NodePort, LoadBalancer, ExternalName, Endpoints, EndpointSlices, and Traffic Policies: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Services: ClusterIP, NodePort, LoadBalancer, ExternalName, Endpoints, EndpointSlices, and Traffic Policies: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Services: ClusterIP, NodePort, LoadBalancer, ExternalName, Endpoints, EndpointSlices, and Traffic PoliciesReserved in course structure
Planned
17

Chapter 17

Ingress, Gateway API, HTTP Routing, TLS Termination, Controllers, and North-South Traffic Architecture

5 lessons
01
Ingress, Gateway API, HTTP Routing, TLS Termination, Controllers, and North-South Traffic Architecture: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Ingress, Gateway API, HTTP Routing, TLS Termination, Controllers, and North-South Traffic Architecture: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Ingress, Gateway API, HTTP Routing, TLS Termination, Controllers, and North-South Traffic Architecture: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Ingress, Gateway API, HTTP Routing, TLS Termination, Controllers, and North-South Traffic Architecture: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Ingress, Gateway API, HTTP Routing, TLS Termination, Controllers, and North-South Traffic ArchitectureReserved in course structure
Planned
18

Chapter 18

Cluster DNS, CoreDNS, Service Discovery, DNS Policies, Search Domains, and DNS Troubleshooting

5 lessons
01
Cluster DNS, CoreDNS, Service Discovery, DNS Policies, Search Domains, and DNS Troubleshooting: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Cluster DNS, CoreDNS, Service Discovery, DNS Policies, Search Domains, and DNS Troubleshooting: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Cluster DNS, CoreDNS, Service Discovery, DNS Policies, Search Domains, and DNS Troubleshooting: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Cluster DNS, CoreDNS, Service Discovery, DNS Policies, Search Domains, and DNS Troubleshooting: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Cluster DNS, CoreDNS, Service Discovery, DNS Policies, Search Domains, and DNS TroubleshootingReserved in course structure
Planned
19

Chapter 19

Kubernetes Network Model, CNI Architecture, Pod Networking, Service Proxies, kube-proxy, and Data Paths

5 lessons
01
Kubernetes Network Model, CNI Architecture, Pod Networking, Service Proxies, kube-proxy, and Data Paths: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Kubernetes Network Model, CNI Architecture, Pod Networking, Service Proxies, kube-proxy, and Data Paths: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Kubernetes Network Model, CNI Architecture, Pod Networking, Service Proxies, kube-proxy, and Data Paths: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Kubernetes Network Model, CNI Architecture, Pod Networking, Service Proxies, kube-proxy, and Data Paths: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Kubernetes Network Model, CNI Architecture, Pod Networking, Service Proxies, kube-proxy, and Data PathsReserved in course structure
Planned
20

Chapter 20

NetworkPolicy, Namespace and Pod Selection, Default Deny, Egress Controls, and Network Segmentation

5 lessons
01
NetworkPolicy, Namespace and Pod Selection, Default Deny, Egress Controls, and Network Segmentation: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
NetworkPolicy, Namespace and Pod Selection, Default Deny, Egress Controls, and Network Segmentation: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
NetworkPolicy, Namespace and Pod Selection, Default Deny, Egress Controls, and Network Segmentation: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
NetworkPolicy, Namespace and Pod Selection, Default Deny, Egress Controls, and Network Segmentation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — NetworkPolicy, Namespace and Pod Selection, Default Deny, Egress Controls, and Network SegmentationReserved in course structure
Planned
21

Chapter 21

Volumes, PersistentVolumes, PersistentVolumeClaims, Access Modes, Reclaim Policies, and Data Lifecycle

5 lessons
01
Volumes, PersistentVolumes, PersistentVolumeClaims, Access Modes, Reclaim Policies, and Data Lifecycle: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Volumes, PersistentVolumes, PersistentVolumeClaims, Access Modes, Reclaim Policies, and Data Lifecycle: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Volumes, PersistentVolumes, PersistentVolumeClaims, Access Modes, Reclaim Policies, and Data Lifecycle: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Volumes, PersistentVolumes, PersistentVolumeClaims, Access Modes, Reclaim Policies, and Data Lifecycle: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Volumes, PersistentVolumes, PersistentVolumeClaims, Access Modes, Reclaim Policies, and Data LifecycleReserved in course structure
Planned
22

Chapter 22

StorageClasses, Dynamic Provisioning, CSI Drivers, Volume Expansion, Snapshots, Clones, and Topology

5 lessons
01
StorageClasses, Dynamic Provisioning, CSI Drivers, Volume Expansion, Snapshots, Clones, and Topology: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
StorageClasses, Dynamic Provisioning, CSI Drivers, Volume Expansion, Snapshots, Clones, and Topology: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
StorageClasses, Dynamic Provisioning, CSI Drivers, Volume Expansion, Snapshots, Clones, and Topology: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
StorageClasses, Dynamic Provisioning, CSI Drivers, Volume Expansion, Snapshots, Clones, and Topology: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — StorageClasses, Dynamic Provisioning, CSI Drivers, Volume Expansion, Snapshots, Clones, and TopologyReserved in course structure
Planned
23

Chapter 23

Scheduling Foundations, Node Selection, nodeSelector, Node Affinity, Pod Affinity, and Anti-Affinity

5 lessons
01
Scheduling Foundations, Node Selection, nodeSelector, Node Affinity, Pod Affinity, and Anti-Affinity: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Scheduling Foundations, Node Selection, nodeSelector, Node Affinity, Pod Affinity, and Anti-Affinity: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Scheduling Foundations, Node Selection, nodeSelector, Node Affinity, Pod Affinity, and Anti-Affinity: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Scheduling Foundations, Node Selection, nodeSelector, Node Affinity, Pod Affinity, and Anti-Affinity: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Scheduling Foundations, Node Selection, nodeSelector, Node Affinity, Pod Affinity, and Anti-AffinityReserved in course structure
Planned
24

Chapter 24

Taints, Tolerations, Topology Spread Constraints, Priority Classes, Preemption, and Placement Policy

5 lessons
01
Taints, Tolerations, Topology Spread Constraints, Priority Classes, Preemption, and Placement Policy: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Taints, Tolerations, Topology Spread Constraints, Priority Classes, Preemption, and Placement Policy: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Taints, Tolerations, Topology Spread Constraints, Priority Classes, Preemption, and Placement Policy: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Taints, Tolerations, Topology Spread Constraints, Priority Classes, Preemption, and Placement Policy: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Taints, Tolerations, Topology Spread Constraints, Priority Classes, Preemption, and Placement PolicyReserved in course structure
Planned
25

Chapter 25

Pod Disruption Budgets, Eviction API, Node Draining, Graceful Maintenance, and Availability Engineering

5 lessons
01
Pod Disruption Budgets, Eviction API, Node Draining, Graceful Maintenance, and Availability Engineering: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Pod Disruption Budgets, Eviction API, Node Draining, Graceful Maintenance, and Availability Engineering: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Pod Disruption Budgets, Eviction API, Node Draining, Graceful Maintenance, and Availability Engineering: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Pod Disruption Budgets, Eviction API, Node Draining, Graceful Maintenance, and Availability Engineering: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Pod Disruption Budgets, Eviction API, Node Draining, Graceful Maintenance, and Availability EngineeringReserved in course structure
Planned
26

Chapter 26

Horizontal Pod Autoscaling, Metrics APIs, Vertical Pod Autoscaling Concepts, and Workload Autoscaling Design

5 lessons
01
Horizontal Pod Autoscaling, Metrics APIs, Vertical Pod Autoscaling Concepts, and Workload Autoscaling Design: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Horizontal Pod Autoscaling, Metrics APIs, Vertical Pod Autoscaling Concepts, and Workload Autoscaling Design: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Horizontal Pod Autoscaling, Metrics APIs, Vertical Pod Autoscaling Concepts, and Workload Autoscaling Design: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Horizontal Pod Autoscaling, Metrics APIs, Vertical Pod Autoscaling Concepts, and Workload Autoscaling Design: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Horizontal Pod Autoscaling, Metrics APIs, Vertical Pod Autoscaling Concepts, and Workload Autoscaling DesignReserved in course structure
Planned
27

Chapter 27

Cluster Autoscaling Concepts, Node Provisioning, Capacity Planning, Overprovisioning, and Elastic Clusters

5 lessons
01
Cluster Autoscaling Concepts, Node Provisioning, Capacity Planning, Overprovisioning, and Elastic Clusters: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Cluster Autoscaling Concepts, Node Provisioning, Capacity Planning, Overprovisioning, and Elastic Clusters: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Cluster Autoscaling Concepts, Node Provisioning, Capacity Planning, Overprovisioning, and Elastic Clusters: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Cluster Autoscaling Concepts, Node Provisioning, Capacity Planning, Overprovisioning, and Elastic Clusters: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Cluster Autoscaling Concepts, Node Provisioning, Capacity Planning, Overprovisioning, and Elastic ClustersReserved in course structure
Planned
28

Chapter 28

ServiceAccounts, RBAC, Roles, ClusterRoles, Bindings, Impersonation, and Least-Privilege Authorization

5 lessons
01
ServiceAccounts, RBAC, Roles, ClusterRoles, Bindings, Impersonation, and Least-Privilege Authorization: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
ServiceAccounts, RBAC, Roles, ClusterRoles, Bindings, Impersonation, and Least-Privilege Authorization: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
ServiceAccounts, RBAC, Roles, ClusterRoles, Bindings, Impersonation, and Least-Privilege Authorization: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
ServiceAccounts, RBAC, Roles, ClusterRoles, Bindings, Impersonation, and Least-Privilege Authorization: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — ServiceAccounts, RBAC, Roles, ClusterRoles, Bindings, Impersonation, and Least-Privilege AuthorizationReserved in course structure
Planned
29

Chapter 29

Authentication, Client Certificates, OIDC, Bootstrap Tokens, API Access, and Identity Integration

5 lessons
01
Authentication, Client Certificates, OIDC, Bootstrap Tokens, API Access, and Identity Integration: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Authentication, Client Certificates, OIDC, Bootstrap Tokens, API Access, and Identity Integration: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Authentication, Client Certificates, OIDC, Bootstrap Tokens, API Access, and Identity Integration: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Authentication, Client Certificates, OIDC, Bootstrap Tokens, API Access, and Identity Integration: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Authentication, Client Certificates, OIDC, Bootstrap Tokens, API Access, and Identity IntegrationReserved in course structure
Planned
30

Chapter 30

Admission Control, Mutating and Validating Webhooks, ValidatingAdmissionPolicy, and Policy Enforcement

5 lessons
01
Admission Control, Mutating and Validating Webhooks, ValidatingAdmissionPolicy, and Policy Enforcement: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Admission Control, Mutating and Validating Webhooks, ValidatingAdmissionPolicy, and Policy Enforcement: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Admission Control, Mutating and Validating Webhooks, ValidatingAdmissionPolicy, and Policy Enforcement: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Admission Control, Mutating and Validating Webhooks, ValidatingAdmissionPolicy, and Policy Enforcement: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Admission Control, Mutating and Validating Webhooks, ValidatingAdmissionPolicy, and Policy EnforcementReserved in course structure
Planned
31

Chapter 31

Pod Security Standards and Admission, Security Contexts, Capabilities, seccomp, AppArmor, and Non-Root Workloads

5 lessons
01
Pod Security Standards and Admission, Security Contexts, Capabilities, seccomp, AppArmor, and Non-Root Workloads: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Pod Security Standards and Admission, Security Contexts, Capabilities, seccomp, AppArmor, and Non-Root Workloads: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Pod Security Standards and Admission, Security Contexts, Capabilities, seccomp, AppArmor, and Non-Root Workloads: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Pod Security Standards and Admission, Security Contexts, Capabilities, seccomp, AppArmor, and Non-Root Workloads: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Pod Security Standards and Admission, Security Contexts, Capabilities, seccomp, AppArmor, and Non-Root WorkloadsReserved in course structure
Planned
32

Chapter 32

Secret Encryption at Rest, KMS Providers, etcd Protection, External Secret Systems, and Credential Rotation

5 lessons
01
Secret Encryption at Rest, KMS Providers, etcd Protection, External Secret Systems, and Credential Rotation: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Secret Encryption at Rest, KMS Providers, etcd Protection, External Secret Systems, and Credential Rotation: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Secret Encryption at Rest, KMS Providers, etcd Protection, External Secret Systems, and Credential Rotation: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Secret Encryption at Rest, KMS Providers, etcd Protection, External Secret Systems, and Credential Rotation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Secret Encryption at Rest, KMS Providers, etcd Protection, External Secret Systems, and Credential RotationReserved in course structure
Planned
33

Chapter 33

Image Security, Registry Trust, Image Pull Secrets, Digests, SBOMs, Signatures, Provenance, and Admission Gates

5 lessons
01
Image Security, Registry Trust, Image Pull Secrets, Digests, SBOMs, Signatures, Provenance, and Admission Gates: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Image Security, Registry Trust, Image Pull Secrets, Digests, SBOMs, Signatures, Provenance, and Admission Gates: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Image Security, Registry Trust, Image Pull Secrets, Digests, SBOMs, Signatures, Provenance, and Admission Gates: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Image Security, Registry Trust, Image Pull Secrets, Digests, SBOMs, Signatures, Provenance, and Admission Gates: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Image Security, Registry Trust, Image Pull Secrets, Digests, SBOMs, Signatures, Provenance, and Admission GatesReserved in course structure
Planned
34

Chapter 34

Container Runtime Interface, containerd, RuntimeClasses, Sandboxed Runtimes, and Runtime Troubleshooting

5 lessons
01
Container Runtime Interface, containerd, RuntimeClasses, Sandboxed Runtimes, and Runtime Troubleshooting: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Container Runtime Interface, containerd, RuntimeClasses, Sandboxed Runtimes, and Runtime Troubleshooting: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Container Runtime Interface, containerd, RuntimeClasses, Sandboxed Runtimes, and Runtime Troubleshooting: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Container Runtime Interface, containerd, RuntimeClasses, Sandboxed Runtimes, and Runtime Troubleshooting: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Container Runtime Interface, containerd, RuntimeClasses, Sandboxed Runtimes, and Runtime TroubleshootingReserved in course structure
Planned
35

Chapter 35

Kubelet Architecture, Node Registration, Static Pods, Certificates, Eviction, Node Pressure, and Node Operations

5 lessons
01
Kubelet Architecture, Node Registration, Static Pods, Certificates, Eviction, Node Pressure, and Node Operations: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Kubelet Architecture, Node Registration, Static Pods, Certificates, Eviction, Node Pressure, and Node Operations: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Kubelet Architecture, Node Registration, Static Pods, Certificates, Eviction, Node Pressure, and Node Operations: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Kubelet Architecture, Node Registration, Static Pods, Certificates, Eviction, Node Pressure, and Node Operations: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Kubelet Architecture, Node Registration, Static Pods, Certificates, Eviction, Node Pressure, and Node OperationsReserved in course structure
Planned
36

Chapter 36

etcd Architecture, Quorum, Persistence, Snapshots, Compaction, Defragmentation, and Disaster Recovery

5 lessons
01
etcd Architecture, Quorum, Persistence, Snapshots, Compaction, Defragmentation, and Disaster Recovery: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
etcd Architecture, Quorum, Persistence, Snapshots, Compaction, Defragmentation, and Disaster Recovery: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
etcd Architecture, Quorum, Persistence, Snapshots, Compaction, Defragmentation, and Disaster Recovery: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
etcd Architecture, Quorum, Persistence, Snapshots, Compaction, Defragmentation, and Disaster Recovery: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — etcd Architecture, Quorum, Persistence, Snapshots, Compaction, Defragmentation, and Disaster RecoveryReserved in course structure
Planned
37

Chapter 37

API Server, Scheduler, Controller Manager, Cloud Controller Manager, and Control-Plane Configuration

5 lessons
01
API Server, Scheduler, Controller Manager, Cloud Controller Manager, and Control-Plane Configuration: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
API Server, Scheduler, Controller Manager, Cloud Controller Manager, and Control-Plane Configuration: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
API Server, Scheduler, Controller Manager, Cloud Controller Manager, and Control-Plane Configuration: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
API Server, Scheduler, Controller Manager, Cloud Controller Manager, and Control-Plane Configuration: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — API Server, Scheduler, Controller Manager, Cloud Controller Manager, and Control-Plane ConfigurationReserved in course structure
Planned
38

Chapter 38

Cluster Bootstrapping with kubeadm, PKI, Control-Plane HA, Worker Join, and Production Topology

5 lessons
01
Cluster Bootstrapping with kubeadm, PKI, Control-Plane HA, Worker Join, and Production Topology: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Cluster Bootstrapping with kubeadm, PKI, Control-Plane HA, Worker Join, and Production Topology: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Cluster Bootstrapping with kubeadm, PKI, Control-Plane HA, Worker Join, and Production Topology: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Cluster Bootstrapping with kubeadm, PKI, Control-Plane HA, Worker Join, and Production Topology: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Cluster Bootstrapping with kubeadm, PKI, Control-Plane HA, Worker Join, and Production TopologyReserved in course structure
Planned
39

Chapter 39

Kubernetes Version Skew, Release Support, Upgrade Planning, kubeadm Upgrade, Node Rotation, and Rollback Strategy

5 lessons
01
Kubernetes Version Skew, Release Support, Upgrade Planning, kubeadm Upgrade, Node Rotation, and Rollback Strategy: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Kubernetes Version Skew, Release Support, Upgrade Planning, kubeadm Upgrade, Node Rotation, and Rollback Strategy: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Kubernetes Version Skew, Release Support, Upgrade Planning, kubeadm Upgrade, Node Rotation, and Rollback Strategy: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Kubernetes Version Skew, Release Support, Upgrade Planning, kubeadm Upgrade, Node Rotation, and Rollback Strategy: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Kubernetes Version Skew, Release Support, Upgrade Planning, kubeadm Upgrade, Node Rotation, and Rollback StrategyReserved in course structure
Planned
40

Chapter 40

Backup and Disaster Recovery: etcd, Persistent Data, Manifests, Cluster State, and Recovery Validation

5 lessons
01
Backup and Disaster Recovery: etcd, Persistent Data, Manifests, Cluster State, and Recovery Validation: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Backup and Disaster Recovery: etcd, Persistent Data, Manifests, Cluster State, and Recovery Validation: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Backup and Disaster Recovery: etcd, Persistent Data, Manifests, Cluster State, and Recovery Validation: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Backup and Disaster Recovery: etcd, Persistent Data, Manifests, Cluster State, and Recovery Validation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Backup and Disaster Recovery: etcd, Persistent Data, Manifests, Cluster State, and Recovery ValidationReserved in course structure
Planned
41

Chapter 41

Observability with Metrics, Logs, Events, Audit Logs, kube-state-metrics, OpenTelemetry, and Cluster Telemetry

5 lessons
01
Observability with Metrics, Logs, Events, Audit Logs, kube-state-metrics, OpenTelemetry, and Cluster Telemetry: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Observability with Metrics, Logs, Events, Audit Logs, kube-state-metrics, OpenTelemetry, and Cluster Telemetry: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Observability with Metrics, Logs, Events, Audit Logs, kube-state-metrics, OpenTelemetry, and Cluster Telemetry: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Observability with Metrics, Logs, Events, Audit Logs, kube-state-metrics, OpenTelemetry, and Cluster Telemetry: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Observability with Metrics, Logs, Events, Audit Logs, kube-state-metrics, OpenTelemetry, and Cluster TelemetryReserved in course structure
Planned
42

Chapter 42

Application and Cluster Troubleshooting: Debug Containers, DNS, Networking, Scheduling, Storage, and Control Plane

5 lessons
01
Application and Cluster Troubleshooting: Debug Containers, DNS, Networking, Scheduling, Storage, and Control Plane: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Application and Cluster Troubleshooting: Debug Containers, DNS, Networking, Scheduling, Storage, and Control Plane: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Application and Cluster Troubleshooting: Debug Containers, DNS, Networking, Scheduling, Storage, and Control Plane: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Application and Cluster Troubleshooting: Debug Containers, DNS, Networking, Scheduling, Storage, and Control Plane: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Application and Cluster Troubleshooting: Debug Containers, DNS, Networking, Scheduling, Storage, and Control PlaneReserved in course structure
Planned
43

Chapter 43

CustomResourceDefinitions, API Extension, Controllers, Operators, Reconciliation Loops, and Operator Patterns

5 lessons
01
CustomResourceDefinitions, API Extension, Controllers, Operators, Reconciliation Loops, and Operator Patterns: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
CustomResourceDefinitions, API Extension, Controllers, Operators, Reconciliation Loops, and Operator Patterns: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
CustomResourceDefinitions, API Extension, Controllers, Operators, Reconciliation Loops, and Operator Patterns: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
CustomResourceDefinitions, API Extension, Controllers, Operators, Reconciliation Loops, and Operator Patterns: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — CustomResourceDefinitions, API Extension, Controllers, Operators, Reconciliation Loops, and Operator PatternsReserved in course structure
Planned
44

Chapter 44

Multi-Tenancy, ResourceQuota, LimitRange, Namespace Boundaries, Fairness, and Shared-Cluster Governance

5 lessons
01
Multi-Tenancy, ResourceQuota, LimitRange, Namespace Boundaries, Fairness, and Shared-Cluster Governance: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Multi-Tenancy, ResourceQuota, LimitRange, Namespace Boundaries, Fairness, and Shared-Cluster Governance: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Multi-Tenancy, ResourceQuota, LimitRange, Namespace Boundaries, Fairness, and Shared-Cluster Governance: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Multi-Tenancy, ResourceQuota, LimitRange, Namespace Boundaries, Fairness, and Shared-Cluster Governance: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Multi-Tenancy, ResourceQuota, LimitRange, Namespace Boundaries, Fairness, and Shared-Cluster GovernanceReserved in course structure
Planned
45

Chapter 45

Scalability and Performance: API Throughput, etcd, Scheduler, Large Clusters, Watch Load, and Client Efficiency

5 lessons
01
Scalability and Performance: API Throughput, etcd, Scheduler, Large Clusters, Watch Load, and Client Efficiency: Concepts, Architecture, and Mental ModelReserved in course structure
Planned
02
Scalability and Performance: API Throughput, etcd, Scheduler, Large Clusters, Watch Load, and Client Efficiency: Guided Hands-On Workflow and Core OperationsReserved in course structure
Planned
03
Scalability and Performance: API Throughput, etcd, Scheduler, Large Clusters, Watch Load, and Client Efficiency: Configuration, Design Choices, and TradeoffsReserved in course structure
Planned
04
Scalability and Performance: API Throughput, etcd, Scheduler, Large Clusters, Watch Load, and Client Efficiency: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure
Planned
05
Checkpoint Lab — Scalability and Performance: API Throughput, etcd, Scheduler, Large Clusters, Watch Load, and Client EfficiencyReserved in course structure
Planned
46

Chapter 46

Production Capstone: Design, Secure, Deploy, Scale, Upgrade, Observe, and Recover a Kubernetes Platform

5 lessons
01
Production Capstone: Design, Secure, Deploy, Scale, Upgrade, Observe, and Recover a Kubernetes Platform: Requirements, Constraints, and Target ArchitectureReserved in course structure
Planned
02
Production Capstone: Design, Secure, Deploy, Scale, Upgrade, Observe, and Recover a Kubernetes Platform: Implementation and Automation Build-OutReserved in course structure
Planned
03
Production Capstone: Design, Secure, Deploy, Scale, Upgrade, Observe, and Recover a Kubernetes Platform: Security, Governance, and Reliability ValidationReserved in course structure
Planned
04
Production Capstone: Design, Secure, Deploy, Scale, Upgrade, Observe, and Recover a Kubernetes Platform: Failure Injection, Troubleshooting, and Recovery DrillReserved in course structure
Planned
05
Production Capstone: Design, Secure, Deploy, Scale, Upgrade, Observe, and Recover a Kubernetes Platform: Final Operational Review and HandoffReserved in course structure
Planned

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