Certified Kubernetes Administrator (CKA): Certified Kubernetes Administrator (CKA)
Certification Exam:
- 20 Courses | 20h 55m 6s
- 3 Books | 6h 21m
- Includes Lab
- 8 Courses | 10h 31m 9s
- 1 Book | 3h 26m
Discover the skills required to perform the tasks of a Kubernetes administrator as you prepare for the Certified Kubernetes Administrator (CKA) certification exam.
GETTING STARTED
Kubernetes Administrator: Kubernetes Fundamentals for Administrators
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1m 28s
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11m 3s
GETTING STARTED
Kubernetes Administrator 2024: Application Containers
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1m 1s
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6m 10s
COURSES INCLUDED
Kubernetes Administrator: Kubernetes Fundamentals for Administrators
Migrating from monolith to stable microservices architectures require robust, scalable, and containerized deployment and orchestration capabilities. In this course, you'll explore the challenges of transforming from monolith applications to microservices, the benefits of microservices and container orchestration, and various container orchestration deployment options for managing containerized deployments. You'll investigate the evolution, key features, and components of Kubernetes, identifying the pros and cons of the recommended installation and configuration options for Kubernetes and establishing the key criteria for evaluating Kubernetes solutions for enterprise workloads, including using Pods to manage multiple containers. Additionally, you'll install "all-in-one" Kubernetes using containers to run Kubernetes components as Docker containers on a single host. You'll use kubectl to run applications on Kubernetes clusters. Lastly, you'll create a service that targets TCP port 80 on any Pod and expose this service onto an external IP address.
15 videos |
1h 28m
Assessment
Badge
Kubernetes Administrator: Cluster Installation & Configuration
Kubernetes provides various tools specifically designed to run enterprise-class, cloud-enabled, and web-scalable IT workloads with configurable resource limits. To get the most out of this service, deriving the right Kubernetes cluster architecture is essential. In this course, you'll explore how Kubernetes built-in tools are used to work with the overall Kubernetes system. You'll examine, among other items, the Container Runtime Interface, workloads in Kubernetes, and the lifecycle of a Pod. You'll then use kubeadm to create and bootstrap Kubernetes clusters. You'll create deployments with labels and employ label selectors to filter Kubernetes objects. You'll utilize kubectl to deploy applications, inspect cluster resources, authenticate against an API server, and modify labels. You'll configure Kubernetes clusters to run a combination of Linux and Windows nodes. You'll also create namespaces and LimitRange objects and Pods for these namespaces.
14 videos |
1h 47m
Assessment
Badge
Kubernetes Administrator: Managing Role-based Access Control
Role-based access control is an approach to restricting system access to authorized users. Kubernetes supports multiple authorization modules, including role-based access control, which works using Role, ClusterRole, RoleBinding, and ClusterRoleBinding objects, which are declared using RBAC API. In this course, you'll explore the concept of authorization and the authorization modes supported by Kubernetes. You'll investigate how to control access to the Kubernetes API server, including the prominent principles for planning and implementing Kubernetes role-based access control, the features of Role, ClusterRole, RoleBinding, and ClusterRoleBinding objects. Next, you'll utilize kubectl subcommands and commands to query the API authorization layer, enable the NamespaceLifecycle and LimitRanger admission control plugins, and get a list of existing Roles, ClusterRoles, RoleBindings, and ClusterRoleBindings from Kubernetes clusters. You'll then create a file and use it to create a Role, ClusterRole, RoleBinding, and ClusterRoleBinding. Next, you'll create kubeconfig files to allow users to perform operations in Kubernetes cluster Namespaces. Finally, you'll implement Aggregated ClusterRole and use the AggregationRule to define label selectors and match other ClusterRole objects.
14 videos |
1h 3m
Assessment
Badge
Kubernetes Administrator: Managing Highly-available Clusters
An architecture is considered resilient if it is continuously operational and can sustain failures. Kubernetes high availability is all about setting up Kubernetes, along with its supporting components, in a way that leaves no single point of failure, and has the capability to detect hardware or software faults and remediate them. In this course, you'll learn the Kubeadm commands and flags that can be used to manage, bootstrap, and join Kubernetes clusters. You'll explore the highly-available Kubernetes architecture, the benefits of multi-master HA architecture, and the advantages and disadvantages of approaches for setting up HA Kubernetes clusters. Next, you'll investigate the stacked and external etcd topologies, the role of etcd in Kubernetes, and the concepts of leaders and elections. You'll learn about the essential control plane components and how to back up etcd clusters and use them to recover Kubernetes clusters. You'll examine how to create a load balancer for kube-apiserver and add control plane nodes to it, initialize a stacked control plane, and join multiple stacked control plane nodes. You'll discover how to set up HA clusters with external etcd nodes, add additional control planes to the clusters, install workers after bootstrapping a control plane, and finally take snapshots using etcdctl commands and use the snapshots to restore clusters. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
16 videos |
1h 31m
Assessment
Badge
Kubernetes Administrator: Underlying Cluster Infrastructure
Kubernetes infrastructure is a combination of multiple resources that includes servers, physical or virtual machines, cloud platforms, and more. Kubernetes architecture and components facilitate dynamic and on-demand provisioning of resources that are required to deploy Kubernetes clusters and their components. In this course, you'll explore the key considerations for Kubernetes deployment and review the pros and cons of the best known approaches for deploying Kubernetes. You'll learn about node features, the recommended approach to provision and add nodes to Kubernetes clusters, and the process of upgrading Kubernetes clusters. Next, you'll explore how to use kubectl commands to view a node's status, configure the default CPU requests and limits for namespaces, set quotas for total amount of memory and CPU for all containers running in a namespace, set quotas for total number of Pods that can run in a namespace, and set minimum and maximum values for CPU resources being used by containers and pods in a namespace. Moving on, you'll use kubeadm and kubectl commands to upgrade cluster control plane nodes from version 1.18.x to version 1.19.x and upgrade kubelet and kubectl on all cluster control plane nodes from version 1.18.x to version 1.19.x. Finally, you'll discover how to upgrade kubeadm, kubelet, and kubectl on all cluster worker nodes from version 1.18.x to version 1.19.x. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
15 videos |
1h 15m
Assessment
Badge
Kubernetes Administrator: Managing Kubernetes Deployments
Kubernetes supports deployments that represents a set of multiple Pods to run multiple replicas of an application and replaces the instances when they are unresponsive. In this course you will recognize the key Kubernetes deployment strategies and the elements of the manifest file for the deployment strategies, review the workload resources that are used by Kubernetes to manage deployments and Pods. You'll recognize the different states of deployment lifecycle, the scenarios of using the StatefulSet workload API object, including the components and the limitations associated with StatefulSet in deployments. Next, you'll implement deployments that create and bring three replicated Pods, define the selection rules to help deployments find which Pods to manage, update deployments, view rollout status and deployment update information. Moving on, you'll use Kubectl commands to inspect rollouts, pause and resume rollouts to rollback updates, check the revisions of deployments, rollback deployments, manage Pods, scale out and customize resource definition of deployments. Next, you'll use Kubectl commands to scale specific StatefulSet by increasing replicas, diagnose Pods. And finally, you'll set up Autoscaler for deployment and specify the minimum and maximum number of Pods based on the CPU utilization of the existing Pods. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
14 videos |
1h 8m
Assessment
Badge
Kubernetes Administrator: Configuring ConfigMaps & Kubernetes Secrets
Kubernetes uses ConfigMaps to store and share unencrypted configuration information. They bind configuration artifacts of Kubernetes to the Pod containers and system components dynamically. In this course you'll explore the role of ConfigMaps and the different approaches of using ConfigMaps along with the different types of Kubernetes Secrets and the different approaches of using Secrets in Pods. You'll create ConfigMaps from single file, multiple files, and from generators. Next, you'll create ConfigMaps containing multiple key-value pairs and use ConfigMaps to define environment variables. Moving on, you'll create Secrets using a Secret config file, by defining a secretGenerator and also define container environment variables using the date from Secrets. Finally, you'll use the Kubectl apply command to create a Pod, provide access to the Secret data through a volume, create an imagePullSecret and add image pull secret to the service account. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
14 videos |
57m
Assessment
Badge
Kubernetes Administrator: Scaling & Managing Resources
Kubernetes provides the capability to dynamically scale deployments in order to scale the number of Pods in a deployment up or down and add resiliency using various commands and tools. In this course you'll recognize what a DaemonSet is, the patterns for communicating with the Pods in a DaemonSet, the role of Kubernetes Garbage Collector, and the resource types and resource units used in Kubernetes. You'll review the commands used to manage Kubernetes objects, and the features of tools used for templating YAML in Kubernetes.Next, you'll create a deployment and scale the deployment, scale StatefulSets and make in-place updates, and create a defined Horizontal Pod Autoscaler and DaemonSet. Moving on, you'll create jobs and list all the Pods that belong to the jobs. You'll see how to deploy a replicated topology with a StatefulSet controller, simulate Pod and Node downtime, and implement a case study of cascading deletion and managing orphans dependents. Finally, you'll use the Kustomize tool to demonstrate the composition of deployment and service resources and install Helm and Service Catalog in Kubernetes clusters. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
16 videos |
1h 11m
Assessment
Badge
Kubernetes Administrator: Managing Pods & Deployments
Kubernetes uses pods to wrap up one or more containers. The primary objective of deployments is to declare the number of replicas of a pod that should be running at a time and also ensure the pods' availability by recreating them when they are not available. In this course, you'll learn to perform critical pod and deployment tasks, which includes creating a ReplicaSet definition file, using kubectl commands to create a ReplicaSet, verifying management of pods by specific ReplicaSets, removing ReplicaSet-managed pods, and increasing the number of pods when the CPU load gets higher without exceeding five pods. Next, you'll create a deployment definition file and use the kubectl command to deploy four pods with NGINX. You'll also use the kubectl scale command to scale replicas, create a Kubernetes user account using the X509 client certificate, schedule and launch pods, and taint a node. Moving on, you'll create a manifest file that creates a pod with a sample container, manually schedule a pod and force a pod to be on a specific node, and use kubectl commands to create a pod and configure environment variables. Finally, you'll create a secret from files containing a username and password, define environment variables, and mount the secret to a pod. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
14 videos |
56m
Assessment
Badge
Kubernetes Administrator: Configuring Networking & Services
Kubernetes Service defines a logical set of pods, a policy to access them and provide efficiency to the microservices deployed in the clusters. Kubernetes networking uses iptables to manage network connections between pods and nodes to enable communication across Kubernetes cluster components. In this course you'll investigate the Kubernetes Network model, the technologies that can be used to implement the Kubernetes Networking model, the challenges of pod networking, how services can help mitigate the challenges and why proxying is used for services. You'll recognize the features of the prominent types of Kubernetes service, the role of EndpointSlices and the supported AddressTypes. Next, you create a network namespace and list all the available namespaces, creates two HTTP server pods and verify the pods are running, create a service without a Pod selector, manually map the service to the network address where it's running and configure multiple port definitions on a service object. Finally, you'll create a configuration file to configure type NodePort and type LoadBalancer, create a deployment that runs 3 replicas of an application and create an internal TCP LoadBalancer using a service. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
14 videos |
58m
Assessment
Badge
Kubernetes Administrator: Service Management
Kubernetes classifies services into different types to facilitate restricting services within clusters, expose them on static ports, enable the use of cloud providers' load balancer and facilitate load balanced and scalable Pods. In this course you'll investigate the primary modes for finding a Service supported by Kubernetes, the essential components used to implement automation of Service Accounts, the features provided by Service Catalog, the steps for listing Managed Services and Plans of a Service Broker and how to provision a new instance of a Managed Service. Next, you'll create pods running a NGINX cluster side address space and NGINX replicas, and create a service of types ClusterIP, NodePort, LoadBalancer and ExternalName. Finally, you'll visualize Service Account in the namespace, create additional Service Account objects and retrieve a dump of the Service Account object, modify the default Service Account for a namespace, use Secrets as imagePullSecret and also create, describe, delete and invalidate API tokens for a Service Account. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
14 videos |
55m
Assessment
Badge
Kubernetes Administrator: Ingress and Cluster DNS & CNI Management
Kubernetes uses Ingress to expose HTTP and HTTPS routes from outside the cluster to services within the cluster. It also facilitates DNS management by replacing Kube-DNS with CoreDNS, which is a flexible and extensible DNS server that can serve as the Kubernetes cluster DNS. In this course you'll recognize the role of Ingress in enabling routing, the prerequisites required to create and configure Ingress, the prominent Ingress controllers and when to implement them. You'll recall the prominent PathTypes and the use of HostName wildcards, the features of CoreDNS and Kube-DNS along with the features of prominent network and CNI plugins. Moving on, you'll create a simple Ingress resource, update the configuration file to update the Ingress resource backend, configure the Ingress resource to run a web application behind external HTTPS load balancer and install CoreDNS as the default DNS service while installing a fresh Kubernetes cluster. Finally, you'll upgrade the DNS service of existing Kubernetes clusters to CoreDNS, replace Kube-DNS and enforce network policies in Google Kubernetes Engine. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.
14 videos |
48m
Assessment
Badge
Kubernetes Administrator: Managing StorageClass & Volume
Kubernetes manages Volumes and Containers by defining a low-level representation of a StorageVolume using PersistentVolume object and binding Pod and PersistentVolume using PersistentVolumeClaim. In this course, you'll explore the applicable Reclaim policies and features of PersistentVolume, the concept of Node Affinity, the various phases of a Volume, the maximum number of volumes that can be attached to a Node, and how to configure custom limits. Additionally, you'll create a storage device using AWS EBS and a PersistentVolume that uses the EBS, a PersistentVolumeClaim to use the PersistentVolume of an AWS EBS storage device, and a PersistentVolume with an EBS via AWS API and mount it to an AWS EC2 instance. You'll also create a Pod that uses Dynamic PersistentVolumeClaim, delete PersistentVolume and PersistentVolumeClaim, change the Reclaim policy from Retain to Delete for PersistentVolume, and create a PersistentVolume using an existing Compute Engine persistent disk. Finally, you'll create a Pod with two containers to exchange data, a deployment that uses a PersistentVolumeClaim to mount it as a Volume, and a Pod to mount the NFS Volume in a Docker container to the master node. This course is part of a series that aligns with the Certified Kubernetes Administrator exam's objectives and can be used in its preparation.
14 videos |
53m
Assessment
Badge
Kubernetes Administrator: Using PersistentVolume & PersistentVolumeClaim
Kubernetes manages Volumes and Containers by defining low level representation of a StorageVolume using the PersistentVolume object and binding Pod and PersistentVolume using PersistentVolumeClaim. In this course you'll recall the applicable Reclaim policies and features for PersistentVolume, the concept of Node Affinity, the various phases of a Volume, the maximum number of volumes that can be attached to a Node and the approach of configuring custom limits. Next, you'll create a storage device using AWS EBS and a PersistentVolume that uses the EBS, create a PersistentVolumeClaim to use the PersistentVolume of AWS EBS storage device, create a PersistentVolume with an EBS via AWS API and mount it to AWS EC2 instance. You'll also create a Pod that uses Dynamic PersistentVolumeClaim, delete PersistentVolume and PersistentVolumeClaim, change the Reclaim policy from Retain to Delete for PersistentVolume and create a PersistentVolume using an existing Compute Engine persistent disk. Finally, you'll create a Pod with two containers to exchange data, create a deployment that uses a PersistentVolumeClaim to mount it as a Volume and create a Pod to mount the NFS Volume in a Docker container to the master node. This course is part of a series that aligns with the Certified Kubernetes Administrator exam's objectives and can be used in its preparation.
15 videos |
58m
Assessment
Badge
Kubernetes Administrator: The Logging Mechanism
Kubernetes doesn't provide any native storage solution for log data, but it can be integrated with existing logging solutions. You can classify Kubernetes logs and manage them at the application and cluster level to enable observability and identify the root cause of issues. In this course, you'll learn how to do just that. You'll kick off by exploring the Logging architecture of Kubernetes clusters, the different log types maintained in Kubernetes clusters, the Kubernetes architecture that helps manage logging at the node and cluster level, best practices for Kubernetes logging, the role of the Resource Metrics pipeline, and the architecture of Metric server. Next, you'll configure a Pod specification with a container to write logs to standard output every 5 seconds and return snapshot logs from various Pod types. Moving on, you'll configure a Pod to write two different log files using different formats, create a Pod with two sidecar containers, and inspect, debug, and get logs from applications. Finally, you'll install the Metric server and use it to manage metrics for Nodes and Pods. You'll view Pod and Node resource metrics, create a Pod with one container, attach a Shell, and then execute commands in it. This course is part of a series that aligns with the Certified Kubernetes Administrator exam's objectives and can be used in its preparation.
14 videos |
58m
Assessment
Badge
Kubernetes Administrator: Auditing & Customizing Logs
Kubernetes auditing helps administrators understand and investigate issues affecting their system. In this course, you'll use Kubernetes to create various audit policies, capture and print logs, and debug Pods, nodes, container runtimes, and applications. You'll explore common issues associated with Pods and ReplicationController and the tools to aggregate different Kubernetes logging layers and log types. You'll create a Deployment with two Pods, use kubectl to retrieve Pod information, the kubectl alpha debug command to add ephemeral containers to a running Pod, and stdout and stderr to write a configuration file and capture container logs. Finally, you'll use crictl commands to debug container runtimes and Telepresence to create a virtual network. This course is part of a series that aligns with the Certified Kubernetes Administrator exam's objectives and can be used in preparation for it.
14 videos |
52m
Assessment
Badge
Kubernetes Administrator: Monitoring Kubernetes Metrics
Monitoring the current state of system components is one of the most efficient ways to identify problems and bottlenecks in a production environment. Administrators working with Kubernetes need to know how to monitor at multiple levels, including at the node, cluster, and Pod levels. In this course, you'll examine the vital Kubernetes performance metrics to monitor, what to measure in Kubernetes clusters, nodes, and Pods, and best practices for monitoring these. You'll also identify the differences between logging and monitoring. Moving on, you'll write configuration files to create and start node-problem-detector. You'll then specify Pod configuration files to ensure kubelet performs liveness probes, HTTP GET requests are sent to the server running in the container, and TCP liveness probe readiness is defined. This course is part of a series that aligns with the Certified Kubernetes Administrator exam's objectives and can be used in preparation for it.
14 videos |
1h 2m
Assessment
Badge
Kubernetes Administrator: Troubleshooting Cluster Components
Troubleshooting is a critical yet complicated task in Kubernetes. Monitoring the right metrics and setting alerts is essential to identify an issue's root cause. In this course, you'll learn to dig deep and investigate every component of a Kubernetes cluster, uncovering the root causes of common Kubernetes issues and taking appropriate action to troubleshoot them. Some of the items you'll explore include the Kubernetes components to consider when planning troubleshooting, the commands for troubleshooting cluster components, techniques for troubleshooting etcd database, and the critical problems and recommended troubleshooting approaches associated with managing Pods. Items you'll practice troubleshooting include issues associated with kubeadm installation, Kubernetes cluster components, Kubernetes resource configuration, Kubernetes Services, Pods remaining in a pending and unschedulable state, and Pod failure CrashLoopBackOff scenarios. This course is part of a series that aligns with the Certified Kubernetes Administrator exam's objectives and can be used in preparation for it.
14 videos |
53m
Assessment
Badge
Kubernetes Administrator: Troubleshooting Deployments & Networking
Reliable networking and deployments are critical in enabling robust and highly-available Kubernetes clusters. Continuous monitoring and the right diagnostic tools and commands help analyze network latency, performance, and availability. In this course, you'll explore the built-in Kubernetes application debugging mechanism. Furthermore, you'll examine how to manage out-of-resource scenarios and frequently encountered Kubernetes deployment networking issues. Moving along, you'll configure ReplicationController to ensure Pods are always up and apply configuration files to scale up applications and manage load. You'll use a Pod as a test environment to diagnose DNS problems and investigate Kubernetes network ingress, service traffic flows, and init container execution problems. You'll inspect Kubernetes iptables rules used for virtual IP translation and Service IP load balancing and gracefully delete StatefulSet Pods. This course is part of a series that aligns with the Certified Kubernetes Administrator exam's objectives and can be used in preparation for it.
14 videos |
51m
Assessment
Badge
Kubernetes Administrator: Troubleshooting Cloud-hosted Kubernetes
Cloud-hosted Kubernetes clusters benefit from underlying cloud capabilities but are not immune to issues related to workload management and Pod availability. Administrators need to investigate and swiftly resolve such issues by adopting the most efficient and effective troubleshooting approaches. In this course, you'll examine the recommended options for customizing Kubernetes clusters, how extension points interact with Kubernetes Control Plane, the log files present on a cluster's master and worker nodes, and master and worker node critical entries that help identify issues. To complete this course, you'll practice resolving potential problems associated with using Google Kubernetes Engine (GKE) and fix common issues related to deployed workloads on Google Kubernetes clusters. Lastly, you'll set up a Kubernetes cluster to ingest logs into Elasticsearch and visualize the metrics using Kibana. This course is part of a series that aligns with the Certified Kubernetes Administrator exam's objectives and can be used in preparation for it.
7 videos |
22m
Assessment
Badge
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COURSES INCLUDED
Kubernetes Administrator 2024: Application Containers
Application containers, which have replaced the traditional monolithic application structure, allow for microservice independence and flexibility with code and software updates. In this course, you will explore application containers and learn how they offer flexibility with application development, deployment, and management. Then you will discover how to install the Docker engine and CLI on Linux and build custom container images from a dockerfile. Moving on, you will manage application containers on Linux and deploy a cloud-based Docker container. Finally, you will manage a cloud-based container registry. This course can be used to prepare for the Certified Kubernetes Administrator (CKA) exam.
7 videos |
38m
Assessment
Badge
Kubernetes Administrator 2024: Kubernetes Architecture & Components
Kubernetes is a container orchestration solution. This provides benefits for administrators and software developers by allowing high availability through multiple cluster nodes as well as the ability to self-heal failed application pods. In this course, you'll start with an overview of Kubernetes features and how they are used to solve common problems and you will discover the components in the Kubernetes architectures. Moving on, you will consider the role of control plane and worker nodes in the cluster followed by discovering the purpose of pods in the cluster. Next, explore the pod life cycle including pod state as well as ReplicaSets and StatefulSets. You will discover how deployments, namespaces, ConfigMaps, and secrets are used in the cluster. Lastly, you will learn how etcd is used to track the state of all cluster components. This course can be used to prepare for the Certified Kubernetes Administrator (CKA) exam.
15 videos |
1h 33m
Assessment
Badge
Kubernetes Administrator 2024: Kubernetes Installation
There are many ways to get a Kubernetes cluster up and running, whether on-premises or in the cloud. Proactive and careful planning will ensure an optimal cluster installation. In this course, discover which factors must be considered when planning a Kubernetes installation, such as whether to use a cloud-managed cluster or to install Kubernetes manually. Moving on, you will install minikube on a virtual machine to allow for local testing and learning. Next, you will use the Play with Kubernetes free online sandbox to deploy multiple cluster nodes. You will manually install Kubernetes on Linux and join a worker node to the new cluster. Then you will install kubectl on Windows to allow remote cluster management, deploy a prepackaged Kubernetes server, and deploy an Azure Kubernetes Service (AKS) in the Microsoft Azure cloud. Finally, you will investigate how Kubernetes YAML manifest files are structured, review common Kubernetes CLI commands, use the kubectl command in Azure cloud shell, and view Kubernetes configuration files. This course can be used to prepare for the Certified Kubernetes Administrator (CKA) exam.
15 videos |
1h 38m
Assessment
Badge
Kubernetes Administrator 2024: Managing Cluster Storage
Storage is a crucial part of pod deployments in a Kubernetes cluster. The default storage is ephemeral, meaning it disappears when the pod is destroyed. Persistent storage for pods is easily achieved with persistent volumes. In this course, you will discover how storage is used within a Kubernetes cluster. Then you will find out how to copy files into and out of a pod container. You will explore how storage access modes and storage classes affect storage access and how storage reclaim policies work. Next, you will investigate the syntax used in YAML manifest files for persistent volume creation, configure local and remote persistent volumes, and learn how dynamic volume provisioning works. Finally, you will configure dynamically provisioned volumes and manage Kubernetes storage in the Microsoft Azure cloud. This course can be used to prepare for the Certified Kubernetes Administrator (CKA) exam.
12 videos |
1h 9m
Assessment
Badge
Kubernetes Administrator 2024: Cluster Networking
Kubernetes clusters use internal network communication methods to allow seamless communication between pods, even when pod replicas are spread across cluster nodes. Proper understanding and management of cluster networking are essential for maintaining high availability, security, and performance of containerized applications in a Kubernetes environment. In this course, discover how Kubernetes cluster network components work to allow network communication using Transmission Control Protocol/Internet Protocol (TCP/IP). Next, you will investigate the relevance of the Container Network Interface (CNI) configuration and the role of CoreDNS within the cluster. Then, explore various types of Kubernetes services that allow network connectivity such as ClusterIP, NodePort, and LoadBalancer. Finally, you will work with an ingress controller and configure Kubernetes network policies. This course can be used to prepare for the Certified Kubernetes Administrator (CKA) exam.
15 videos |
1h 24m
Assessment
Badge
Kubernetes Administrator 2024: Pods, ConfigMaps, and Secrets
Pods are the smallest manageable unit for application containers in a Kubernetes cluster. Administrators must master how to deploy and configure pods. In this course, you will first be exposed to the syntax used in a YAML pod manifest file. Next, you will deploy a pod to a cluster both on premises and in the cloud, as well as to a testing minikube cluster. Moving on, you will explore the difference between declarative and imperative pod deployments. Next, discover how resources used by a pod can be restricted. You will then work with ConfigMaps and secrets that can be read by a pod followed by using the Kustomize tool to generate ConfigMaps and secrets. Lastly, you will configure pod environment variables, init containers, and a multi-container pod. This course can be used to prepare for the Certified Kubernetes Administrator (CKA) exam.
17 videos |
1h 35m
Assessment
Badge
Kubernetes Administrator 2024: Pod Scheduling
Pod Scheduling refers to how Kubernetes deploys pods to nodes. Administrators must have the skills to work with pods and related components such as namespaces. In this course, you will first create and manage a namespace into which Kubernetes components can be deployed followed by working with namespaces in the Microsoft Azure cloud. You will then manage service namespaces and configure ReplicaSets locally as well as in the cloud. Moving on, discover how to use labels and selectors to establish an association between Kubernetes components. Next, discover the Kubernetes deployment lifecycle followed by applying deployments locally and in the cloud. You will then apply pod limits and resource requirements followed by focusing on how pod scheduling works. Next, you will work with pod placement on nodes, configure a pod restart policy, and deploy a stateful application in a pod. Lastly, you will discover common Kubernetes templating tools such as Helm. This course can be used to prepare for the Certified Kubernetes Administrator (CKA) exam.
16 videos |
1h 29m
Assessment
Badge
Kubernetes Administrator 2024: Kubernetes Security
PKI certificates are used to secure computing environments in a wide variety of ways, such as through TLS to secure HTTP-based network communications. In this course, explore the PKI hierarchy, the packet exchange in a TLS connection, and how Kubernetes uses PKI certificates. Next, learn how to use OpenSSL to create a private CA, acquire a user certificate from that CA, and configure a TLS certificate as a Kubernetes Secret. Finally, discover how role-based access control (RBAC) is used to limit access to Kubernetes components, create a service account, manage roles and cluster roles, and manage RBAC bindings. This course can be used to prepare for the Certified Kubernetes Administrator (CKA) exam.
12 videos |
1h 2m
Assessment
Badge
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Digital badges are yours to keep, forever.BOOKS INCLUDED
Book
Kubernetes: Preparing for the CKA and CKAD CertificationsMaster all the concepts and tools necessary to start administering a Kubernetes cluster and deploying applications to production. You will cover the entire curricula of the two Kubernetes certifications (for application developers and administrators).
1h 35m
By Philippe Martin
Book
The Kubernetes Book, 2021 EditionAlways up-to-date with the latest versions of Kubernetes and the latest trends in the cloud-native ecosystem, this straightforward resource is an easy-to-read book that covers everything you need to know to be proficient with Kubernetes.
3h 52m
By Nigel Poulton
Book
Quick Start Kubernetes, 2021 EditionFor anyone and everyone that needs to get familiar with the fundamentals of Kubernetes and likes to learn by doing, this book covers the core and important parts of Kubernetes in an engaging way and will have you up-to-speed in no time at all.
54m
By Nigel Poulton
BOOKS INCLUDED
Book
Certified Kubernetes Administrator (CKA) Exam Guide: Master the Kubernetes skills required for the hands-on CNCF CKA examThis book is for cloud application developers, devops engineers, cloud architects and datacentre administrators who want to conquer the CNCF CKA exam, certifying their Kubernetes skills in the marketplace.
3h 26m
By Gavin R. Bayfield
SKILL BENCHMARKS INCLUDED
Certified Kubernetes Administrator (CKA) Competency (Intermediate Level)
The Certified Kubernetes Administrator (CKA) Competency (Intermediate Level) benchmark measures your competency in many Kubernetes technologies and the context that these technologies fit. It also measures your experience level, implying that you have spent some time working on Kubernetes projects. A learner who scores high on this benchmark demonstrates that they have working project knowledge of Kubernetes, understand the problems it solves, and are able to actively participate in informed conversations and decision-making processes regarding Kubernetes technologies. They can understand the scope of a project, are seen as a relative subject matter expert, and can work mostly independently with supervision on Kubernetes projects.
23m
| 23 questions
Certified Kubernetes Administrator (CKA) Proficiency (Advanced Level)
The Certified Kubernetes Administrator (CKA) Proficiency (Advanced Level) benchmark measures your advanced proficiency in Kubernetes technologies and the context that these technologies fit. It also measures your experience level, implying that you have extensive experience working on many Kubernetes projects. A learner who scores high on this benchmark demonstrates that they have extensive project knowledge of Kubernetes, understand the problems it solves, and are able to drive informed conversations and decision-making processes regarding Kubernetes technologies. They can design the scope of a project and are seen as a subject matter expert that can work independently without supervision on Kubernetes projects.
33m
| 33 questions
Certified Kubernetes Administrator (CKA) Awareness (Entry Level)
The Certified Kubernetes Administrator (CKA) Awareness (Entry Level) benchmark measures your awareness of fundamental Kubernetes technologies and the context with which these technologies fit. A learner who scores high on this benchmark demonstrates that they have exposure to Kubernetes and the problems it solves and can participate in basic conversations and decision-making regarding Kubernetes technologies.
10m
| 10 questions
Certified Kubernetes Administrator (CKA) Literacy (Beginner Level)
The Certified Kubernetes Administrator (CKA) Literacy (Beginner Level) benchmark measures your literacy of fundamental Kubernetes technologies and the context that these technologies fit. A learner who scores high on this benchmark demonstrates that they have had exposure to Kubernetes and the problems it solves on more than one occasion and possibly with project exposure. They are able to participate in informed conversations and decision-making regarding Kubernetes technologies and can understand the scope of some projects.
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