Ultimate CKA | Certified Kubernetes Administrator

Master Kubernetes cluster architecture, installation, and configuration with Cube ADM, upgrade workflows, and hands-on demos, including Pod basics, ReplicaSet, namespaces, and RBAC, plus GKE equivalence.

Explore a concise view of Kubernetes architecture, including the control plane master, worker nodes, pods, and containers. Learn how the master schedules and monitors pods and nodes, deploying containerized apps.

Explore the Kubernetes master and worker node components in depth, including the API server, etcd, control manager, scheduler, kubelet, kube-proxy, and container runtime interfaces.

Provision a three-node Kubernetes cluster (one master, two workers) on Google Cloud Compute Engine via ADM. Ensure nodes have 2 GB RAM, Ubuntu 16.04, disable swap, and open firewall ports.

Learn to install and configure a three-node Kubernetes cluster with kubeadm, including docker runtime, kubeadm init, weave net CNI, and joining worker nodes, with proper version alignment and cluster validation.

View a practical demo on validating Kubernetes infrastructure, aligned with the ultimate CKA, Certified Kubernetes Administrator.

Watch a demo on connecting to a Kubernetes cluster, illustrating practical steps to establish access as part of the Ultimate CKA course.

Explore the pod creation process flow from building and pushing images to Docker Hub, writing yaml configurations, submitting to the API server, etcd storage, scheduling, and kubelet-driven pod startup.

Explore the pod life cycle from pending to running, succeeded, and failed, including how the scheduler assigns a healthy node, kubelet pulls images, and controllers like deployment manage pods.

Learn to write a pod configuration in YAML using kubectl apply, defining apiVersion, kind, metadata, and spec to deploy a single nginx pod with port 8080, following best practices.

Master pod management with kubectl: create via run or YAML, apply and get pods, describe, edit, view logs, delete, and use top for CPU and RAM.

Watch a pods demo within Kubernetes to understand pod usage and management for the Ultimate CKA certified Kubernetes administrator.

Learn how a replica set in Kubernetes ensures pods stay running, recreates failed pods on healthy nodes, and delivers high availability and load balancing.

Learn the replication loop that replica sets and replication controllers use to monitor pods and adjust to the desired count defined in YAML by creating or removing pods.

Compare the replica set yaml with the replication controller to learn the api version, kind, and selectors, including match labels and match expressions.

Demonstrates replica set concepts in a practical Kubernetes environment, guiding learners through hands-on replication management as part of the ultimate CKA course.

Partition the Kubernetes cluster with namespaces to separate teams, environments, and applications such as dev and prod. Enforce network isolation between namespaces by using a suitable network solution.

Create Kubernetes namespaces with a simple yaml file or a single kubectl command, using dev, qa, and prod, and view pods in that namespace with kubectl.

Explore essential namespace operations in Kubernetes, including create, apply, get, describe, edit, and delete. Learn to use namespace abbreviations, wide output, and YAML or JSON formats for efficient management.

Explore Kubernetes namespaces through a practical demo in the Ultimate CKA course, highlighting how to organize and isolate resources within a cluster.

Plan and perform Kubernetes upgrades with kubeadm by upgrading the control plane first, then workers one after the other, draining nodes, and updating kubelet and kubectl.

Demonstrates upgrading a Kubernetes cluster from 1.20 to 1.21 using kubeadm. Includes practical commands and verification steps.

Learn to backup and restore etcd data for Kubernetes using etcdctl, taking snapshots with API version 3, checking status, and restoring from a saved snapshot for disaster recovery.

Explore etcd backup and restore in a Kubernetes administrator context with a hands-on demo session.

Learn the three a's of Kubernetes security—authentication, authorization (rbac), and admission control—and how the api server validates users, enforces permissions, and applies policies on requests.

Explore namespace-level role and role binding that define actions on deployments, replica sets, and pods (get, list, create, update, delete) and bind them to users, service accounts, or groups.

Explore Kubernetes RBAC concepts through a practical demo of roles and role bindings, illustrating how access control is defined and enforced in cluster environments.

Learn how cluster roles and cluster role bindings control access across all namespaces in Kubernetes, defining allowed actions on resources and linking users, service accounts, or groups to those roles.

Explore RBAC in Kubernetes through a live demo of cluster roles and a cluster role binding, helping you master access control for secure cluster administration.

Learn to deploy, configure, and manage Kubernetes applications by writing deployment YAML, applying rolling updates and rollbacks, scaling, using config maps and secrets, and templating with Helm.

Explore Kubernetes deployment strategies such as recreate, rolling update, canary, and blue-green, and compare downtime, safety, and resource needs to select the best fit for your cluster.

Explore deployment.yaml for a Kubernetes deployment, set four nginx pods, and learn rolling update with max search option and max unavailable option, plus recreate strategy using kubectl.

Execute deployment tasks in Kubernetes by creating deployments with yaml, using kubectl get, describe, edit, and delete, and managing replica sets and pods.

Explore a deployment demo in the Ultimate CKA course, illustrating how to perform Kubernetes deployments and manage related tasks.

Learn how to perform rolling updates in Kubernetes to achieve zero downtime while upgrading to a version and how to roll back to a stable state with kubectl rollout undo.

Learn rolling updates and rollbacks in Kubernetes by upgrading nginx from 1.18 to 1.19 with declarative and imperative methods, validating rollout, and using rollout undo to revert when needed.

Scale Kubernetes deployments by adjusting the replica field to run the desired number of Nginx pods, with the deployment controller maintaining exact replicas and changes applied via kubectl apply.

Watch a hands-on demo that shows how to scale application instances in Kubernetes, offering practical steps for certified Kubernetes administrators.

Decouple the application image from its configuration with config maps that store non-sensitive data, created from literal key-value pairs or files, and inject them into pods as environment variables.

Create config maps from literal values or files, imperatively with kubectl or declaratively via YAML; use data sections and pipe syntax for multi-line values, then inject into pods.

Inject config map data into pods via environment variables, startup command arguments, or files in a config map volume, and learn how to handle dynamic updates.

Explore creating, applying, getting, describing, editing, and deleting config maps with kubectl in imperative and declarative styles, view details, and format outputs as yaml or json for the CKA exam.

Explore ConfigMaps through a hands-on demo, showcasing how to manage configuration data within Kubernetes as part of the ultimate CKA certification preparation.

Learn what secrets are in Kubernetes, why they are used for sensitive data, and how to inject them as environment variables or files, alongside config maps for non-sensitive data.

Create Kubernetes secrets imperatively with kubectl and declaratively with YAML, encoding data in base64 in the secret data section, and compare to config maps.

Inject secrets into pods using environment variables or files in a volume, mapping the secret DB User Path with username and password to container environment variables or as file data.

Learn to manage Kubernetes secret objects through create, apply, get, describe, edit, and delete using kubectl, with imperative and declarative creation methods.

Explore Kubernetes secrets through a practical demo, illustrating secure handling, storage, and usage aligned with the ultimate CKA certification.

Explore how config maps and secrets differ in pod configuration, handling of sensitive data, and base64 encoded versus plain text contents, plus size limits.

Master node selector to schedule pods on labeled nodes, using the SSD storage example, labeling nodes with desc=SSD, and verifying pod placement with kubectl.

Demonstrates configuring and using a node selector to control pod scheduling in Kubernetes, providing a practical demo for aspiring certified Kubernetes administrators.

Configure resource requests and limits for containers inside a pod to optimize Kubernetes compute utilization, using CPU millicores and RAM mebibytes to guarantee minimum resources.

Define resource requests and limits for a container, such as 250 millicores CPU and 100 MB memory. Understand scheduling by requests and how memory overuse can terminate and restart container.

Explore how Kubernetes self-healing automatically recreates pods and maintains exact replica counts through deployment controllers and replica sets, ensuring front-end and back-end services stay available despite node or pod failures.

Explore how to standardize Kubernetes manifest management across dev, staging, and prod using Helm and Kustomize templates and values files, customizing namespaces, replicas, and image tags efficiently.

Learn basic network terminology, including network interface cards, switches, routers, firewalls, protocols, and packets, and how they connect devices to the internet.

Explore how Kubernetes provides an IP per pod model with sandbox containers, enabling pod-to-pod and pod-to-service communication, and learn to implement networking with CNI plugins like Calico and Flannel.

Open inbound TCP ports for Kubernetes control plane components—API server, etcd, kubelet, scheduler, controller manager—and worker nodes’ kubelet and node port services, via cloud firewall rules; GKE may automate this.

Define container-to-container communication inside a pod by sharing the network namespace. Use localhost ports and curl to enable two containers to talk, with the pos container managing the pod network.

Understand how pod to pod communication occurs within a node, via network namespaces, veth pairs, a Linux bridge and ARP, and how CNI plugins enable pod IPs across the cluster.

Learn how container network interface (CNI) enables unique pod IP addresses and pod-to-pod communication across a Kubernetes cluster using plugins such as flannel, calico, and weave.

Select the right CNI plugin by evaluating network topology and feature needs, such as encapsulation, mutual TLS, and network policy support, then deploy with kubectl apply.

Discover how Kubernetes services give a stable IP, DNS name, and port to a set of pods, using labels for selection and load balancing between front-end and back-end pods.

Explore Kubernetes service types—cluster ip, node port, and load balancer—and learn how each exposes workloads, with internal access, external testing, and scalable load balancing, plus ingress for cost efficiency.

Demonstrate NodePort service in Kubernetes with a practical demo, aligned with the ultimate CKA certification, for understanding how NodePort works.

Kube proxy runs on every node to route service traffic to one of the backing pods, updates iptables with service IPs and ports, and performs load balancing across pods.

Discover how the domain name system translates human readable names to IP addresses via a centralized DNS server, replacing manual hosts file maintenance for scalable network communications.

Explore how DNS works in Kubernetes with CoreDNS and kube-dns, the default since 1.11, and how pods and services update DNS records in the kube-system namespace.

Learn how Kubernetes uses a service object to expose pods with a stable ip, port, and dns name, enabling load balancing and dns-based and environment variable-based service discovery.

Discover how pods in Kubernetes discover services through environment variables configured inside the pod, using the producer service object's IP and port, and why DNS discovery is often preferred.

Discover how Kubernetes uses DNS for service discovery, resolving nginx service names to stable IPs via kube-dns, with Nslookup tests and the fully qualified name service.namespace.svc.cluster.local.

Explore service discovery in Kubernetes through a practical demo, showing how to configure and verify accessible services in a hands-on learning session.

Discover how endpoints track the IP addresses of pods backed by a service, how selectors identify backend ports, and how kubectl get endpoints reveals endpoint mappings.

Explore the endpoint demo in Kubernetes, part of the ultimate CKA course, to understand how endpoint functions within a Kubernetes environment.

Explain how pods communicate with services using a stable service IP, port, and DNS, while kube-proxy updates iptables to route packets to the backing pod across nodes.

Explore exposing apps to the internet with nodeport, load balancer, and ingress—where a single ingress controller behind one load balancer routes by host and path to multiple services.

Explain how ingress exposes multiple Kubernetes services via a single load balancer and public IP, using an ingress controller and ingress resource to route by host and path.

Understand what an ingress controller does in Kubernetes, its role with ingress resources, and how Nginx ingress routes external traffic via a load balancer.

Configure an ingress controller by deploying nginx, provisioning required Kubernetes resources, exposing it with a cloud load balancer, and mapping hosts and paths to backend services.

Explore how ingress rules in Kubernetes define host, path, and backend services within an ingress resource, and how the ingress controller routes requests to the correct service.

Explore ingress resources in Kubernetes, including single service ingress, name based virtual hosting, and simple fanout, with focus on hosts, paths, and backends under the ingress resource.

Ingress demo offers a practical look at ingress concepts within the ultimate Kubernetes administrator course for hands-on learning.

Explore storage in Kubernetes, including temporary storage. Understand storage volumes, persistent volumes and persistent volume claims, the life cycle, access modes, reclaim policies, and dynamic provisioning with storage classes.

Explore storage volumes in kubernetes, why they are needed for logs, configuration, and application data, and how they support stateful versus stateless containers with persistent storage.

Explore Kubernetes volume types, including emptyDir and hostPath, compare data retention after pod deletion, and review persistent disks, network storage, and config maps, secrets, and download API.

Learn to use the hostpath volume inside a pod to store temporary data, configure the volume details, mount it in the container, and deploy with kubectl, not for database storage.

Learn about hostpath volumes in Kubernetes with a demo, as part of the Ultimate CKA certification preparation.

Learn how Kubernetes persistent storage keeps application data available after pod rescheduling, using disk options like GKE persistent disk, AWS EBS, Azure Disk, and storage such as NFS, iSCSI, GlusterFS.

Learn to create and mount a GCE persistent disk inside a pod, format with ext4, deploy with kubectl, and note PV and PVC concepts for Kubernetes storage.

Explore persistent storage with GCE persistent disk through a hands-on demo tailored for Kubernetes administrators.

Learn how persistent volumes and persistent volume claims enable Kubernetes storage management. See how admins create PVs, developers file PVCs, and Kubernetes binds them to provide storage for pods.

Explain what PV is, why we use it, and how to create a PV in Kubernetes using GCE persistent disk, with capacity and access modes.

Create a persistent volume claim to abstract storage details and claim a PV. Learn storage classes and static or dynamic provisioning, plus the read write once access mode.

learn about volume access modes—read write once, read only many, and read write many—how storage providers support them, and how to configure pv and pvc bindings in yaml.

Discover Kubernetes volume modes: file system and block, how file system volumes mount as directories and block volumes present as raw devices, with ext4 in examples.

Explore reclaim policies in Kubernetes storage, covering persistent volumes and claims, provisioning stages, and how delete, retain, and deprecated recycle policies manage disk retention and reuse.

Create a Google Cloud disk, configure a PV and a PVC, and mount the PVC inside a pod to use persistent storage in Kubernetes.

Discover how to configure a pod to use persistent storage with a static PV and PVC, demonstrated through a practical PV-PVC setup.

Discover how storage classes enable dynamic provisioning, letting Kubernetes automatically create and bind persistent volumes from PVCs using backend provisioners like GCE persistent disks, via a one-time admin setup.

Define a custom gold storage class on a GKE cluster using a YAML file, then test provisioning with PVCs and PVs from gold and default storage classes.

Learn how to change the default storage class in Kubernetes by patching the standard class to non-default and promoting gold as the default, then verify with PVCs and clean up.

Configure a WordPress and MySQL deployment with dynamic persistent storage in Kubernetes, creating PVC/PV pairs, a default storage class, headless internal service, and a load balancer for internet access.

Explore storage classes in Kubernetes through a practical demo that shows how storage options are configured and used in a Kubernetes environment.

Explore monitoring, logging, and troubleshooting of Kubernetes clusters, emphasizing purpose, architecture, tools, installations, demos, and exercises. Learn to troubleshoot application failures, cluster components, worker nodes, and networking.

Learn how monitoring tracks Kubernetes architecture components across master and worker nodes to ensure reliability, provides insights and alerts, and optimizes resources through cost control.

Explore monitoring layers in a Kubernetes world, from hardware and operating system to container runtime and Kubernetes, and learn what to monitor across hosts, runtimes, and applications.

Monitor node resources such as cpu, ram, and disk to detect bottlenecks in Kubernetes nodes. Pair with Prometheus node exporter to collect metrics and monitor pod and container resource usage.

Explore inbuilt and third-party Kubernetes monitoring tools, from metrics server, cadvisor, and kube-state-metrics to dashboards and probes, and integrate Prometheus, Grafana, and commercial solutions.

Assemble a Kubernetes monitoring pipeline by collecting data from nodes, containers, and apps, aggregating with Prometheus or Metrics Server, storing in Prometheus or InfluxDB, and visualizing with Grafana.

Install the metrics server to monitor CPU and memory for pods and nodes. Validate installation with kubectl top and use the data for Kubernetes Dashboard and horizontal Pod Autoscaler.

Install and validate the metrics server in a Kubernetes cluster with a hands-on demo, enabling real-time pod and node metrics for informed administration.

Monitor Kubernetes cluster components by checking node readiness with kubectl get nodes and resource usage with kubectl top nodes, then assess core components and addon pods in kube-system.

Learn to monitor applications on a Kubernetes cluster using custom metrics defined in the app and readiness and liveness probes to check health and automatically recover failed instances.

Explore a live monitoring demo for Kubernetes administration, showcasing practical techniques to observe cluster health, performance, and resource utilization.

Discover what logs are and how they support debugging and monitoring a Kubernetes cluster, with Kubelet examples showing timestamps, IP addresses, URL paths, and informational, warning, and error messages.

Explore the four-stage Kubernetes logging pipeline, from data sources to aggregation with Fluentd or Logstash, storage in Elasticsearch, and visualization with Kibana or Grafana.

Explore the end-to-end Kubernetes logging architecture using Fluentd, Elasticsearch, and Kibana to collect, aggregate, store, and visualize cluster logs from stdout and stderr.

Learn to view Kubernetes component logs using kubectl logs for pods, docker logs, and journalctl for service units.

Learn to view pod logs with kubectl logs, explore common options, and recognize the need for cluster-level logging with elk/efk stacks or third-party solutions for long-term retention.

Explore practical logging techniques in a Kubernetes environment through a hands-on demo, helping learners prepare for the ultimate CKA certification.

Learn troubleshooting techniques for application failures on a Kubernetes cluster, focusing on pods, replica sets, and services; diagnose pending or crashing pods, verify images and ports, and validate deployments.

Troubleshoot Kubernetes clusters by inspecting control plane components and nodes, using kubectl commands, logs, and service checks to ensure API server, scheduler, control manager, and etcd are healthy.

Identify worker node health in a Kubernetes cluster with kubectl get node and kubectl describe node; check memory, disk, and ready state, and ensure kubelet and docker are running.

Watch a troubleshooting demo designed for the ultimate CKA, offering a practical view of Kubernetes administration for aspiring certified Kubernetes administrators.

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