Course #:WA3007 Kubernetes for Developers Training Download Sample Labs 06/28/2021 - 06/30/2021 USD$1,995.00 Instructor Led Virtual 07/19/2021 - 07/21/2021 USD$1,995.00 Instructor Led Virtual 07/26/2021 - 07/28/2021 USD$1,995.00 Instructor Led Virtual 08/03/2021 - 08/05/2021 USD$1,995.00 Instructor Led Virtual 09/13/2021 - 09/15/2021 USD$1,995.00 Instructor Led Virtual 10/25/2021 - 10/27/2021 USD$1,995.00 Instructor Led Virtual In this Kubernetes training course students learn how to containerize, host, deploy, and configure an application in a multi-node cluster. Students begin with a simple script, then define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Students in this Kubernetes Training course will be working with network plugins, security and cloud storage, and will be exposed to many of the features needed to deploy an application in a production environment. Objectives Learn how to containerize and deploy a new Python script Understand and configure the deployment with ConfigMaps, Secrets and SecurityContexts Understand multi-container pod design Learn to configure probes for pod health Learn to update and roll back an application Understand how to implement services and set NetworkPolicies Learn how to use PersistentVolumeClaims for state persistence Audience This course is intended for developers that need to understand all aspects of how to containerize, host, deploy, and configure an application in a multi-node cluster. Prerequisites WA2675 Architecting Microservices with Kubernetes, Docker, and Continuous Integration Training – or equivalent experience. Students should be familiar with a programming language and be comfortable with basic Linux command line and file editing skills. Duration Three days Outline of Kubernetes for Developers Training Chapter 1. Kubernetes Core Concepts Kubernetes Basics What is Kubernetes? Container Orchestration Kubernetes Architecture Kubernetes Concepts Cluster and Namespace Nodes Master Pod Using Pods to Group Containers Label Label Syntax Annotation Label Selector Replication Controller and Replica Set Service Storage Volume Secret Resource Quota Authentication and Authorization Routing Docker Registry Summary Chapter 2. Kubernetes Architecture Architecture Diagram Components Kubernetes Cluster Master Node Kube-Control-Manager Nodes Other Components Interacting with Kubernetes Summary Chapter 3. Build What is Docker Where Can I Run Docker? Docker and Containerization on Linux Linux Kernel Features: cgroups and namespaces The Docker-Linux Kernel Interfaces Containerizing an Application Building a Docker Images using Dockerfile Sample Dockerfile Environment Variables Environment Variables - Example Arguments Multi-stage Builds Multi-stage Builds (Contd.) Stop at a Specific Build Stage RUN EXPOSE EXPOSE (Contd.) COPY ADD CMD ENTRYPOINT CMD vs. ENTRYPOINT VOLUME Build the Image Build the Image (contd.) .dockerignore Dockerfile – Best Practices Dockerfile - Best Practices (contd.) Published Ports Docker Documentation Docker Registry Hosting a Local Registry Hosting a Local Registry (contd.) Deploying to Kubernetes Deploying to Kubernetes (contd.) Running Commands in a Container Multi-Container Pod Multi-Container Pod (contd.) Summary Chapter 4. Design Traditional Applications Virtual Machines Containerized Applications Decoupled Resources Transience Flexible Framework Application Resource Usage Measuring Resource Usage Docker Resource Usage Statistics Docker Container Resource Constraints Docker Run Command Resource Flags Using Label Selectors Equality Based Label Selector Set Based Label Selector Multi-Container Pods Sidecar Container Sidecar Container Uses Adapter Container Summary Chapter 5. Deployment Configuration Introduction to Volumes Container OS file system storage Docker Volumes Kubernetes Volumes Volume Specs K8S Volume Types Cloud Resource Types emptyDir Using an emptyDir Volume Other Volume Types Persistent Volumes Creating a Volume Persistent Volume Claim Persistent Volume Pod that uses Persistent Volume Dynamic Volume Provisioning Requesting Dynamic Storage Secrets Creating Secrets from Files Creating Secrets from Literals Using Secrets configMaps Creating configMaps from Literals Creating configMaps from files Using configMaps Security Context Security Context Usage Deployment Configuration Status Replicas Scaling Rolling Updates Summary Chapter 6. Security Security Overview API Server API & Security ~/.kube/config ~/.kube/config (contd.) Kubernetes Access Control Layers Authentication Authorization ABAC Authorization ABAC - Policy Format ABAC - Examples RBAC Authorization Role and ClusterRole Role - Example ClusterRole - Example RoleBinding and ClusterRoleBinding RoleBinding - Example ClusterRoleBinding - Example Authorization Modes - Node Authorization Modes - ABAC Admission Controller Network Policies Network Policies - Examples Network Policies - Pod Isolation Network Policies - Internet Access for Pods Network Policies - New Deployments Summary Chapter 7. Exposing Applications Kubernetes Services Service Resources Service Type ClusterIP NodePort NodePort from Service Spec LoadBalancer LoadBalancer from Service Spec ExternalName Accessing Applications Service Without a Selector Ingress Ingress Resource Example Ingress Controller Service Mesh Summary Chapter 8. Troubleshooting Kubernetes Troubleshooting Overview Objects in Kubernetes Relationships in Kubernetes Operations in Kubernetes Understanding the Issue Troubleshooting Tools Troubleshooting Commands Troubleshooting Pods Troubleshooting the Cluster Cluster Failure Modes Monitoring Monitoring Applications Accessing Logs Logging Tools Conformance Testing Summary Lab Exercises Lab 1. Getting Started with KubernetesLab 2. Building a Docker Image with DockerfileLab 3. Deploying to KubernetesLab 4. Implementing the Sidecar PatternLab 5. Deploying ApplicationsLab 6. Implementing RBAC SecurityLab 7. Accessing ApplicationsLab 8. Troubleshooting We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC. View Course Outline Share This Request On-Site or Customized Course Info Lab Setup Guide REGISTER FOR A COURSEWARE SAMPLE x Sent First Name Last Name Email Request On-Site or Customized Course Info x Sent First Name Last Name Phone Number Company Name Email Question
Course #:WA3007 Kubernetes for Developers Training Download Sample Labs 06/28/2021 - 06/30/2021 USD$1,995.00 Instructor Led Virtual 07/19/2021 - 07/21/2021 USD$1,995.00 Instructor Led Virtual 07/26/2021 - 07/28/2021 USD$1,995.00 Instructor Led Virtual 08/03/2021 - 08/05/2021 USD$1,995.00 Instructor Led Virtual 09/13/2021 - 09/15/2021 USD$1,995.00 Instructor Led Virtual 10/25/2021 - 10/27/2021 USD$1,995.00 Instructor Led Virtual In this Kubernetes training course students learn how to containerize, host, deploy, and configure an application in a multi-node cluster. Students begin with a simple script, then define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Students in this Kubernetes Training course will be working with network plugins, security and cloud storage, and will be exposed to many of the features needed to deploy an application in a production environment. Objectives Learn how to containerize and deploy a new Python script Understand and configure the deployment with ConfigMaps, Secrets and SecurityContexts Understand multi-container pod design Learn to configure probes for pod health Learn to update and roll back an application Understand how to implement services and set NetworkPolicies Learn how to use PersistentVolumeClaims for state persistence Audience This course is intended for developers that need to understand all aspects of how to containerize, host, deploy, and configure an application in a multi-node cluster. Prerequisites WA2675 Architecting Microservices with Kubernetes, Docker, and Continuous Integration Training – or equivalent experience. Students should be familiar with a programming language and be comfortable with basic Linux command line and file editing skills. Duration Three days Outline of Kubernetes for Developers Training Chapter 1. Kubernetes Core Concepts Kubernetes Basics What is Kubernetes? Container Orchestration Kubernetes Architecture Kubernetes Concepts Cluster and Namespace Nodes Master Pod Using Pods to Group Containers Label Label Syntax Annotation Label Selector Replication Controller and Replica Set Service Storage Volume Secret Resource Quota Authentication and Authorization Routing Docker Registry Summary Chapter 2. Kubernetes Architecture Architecture Diagram Components Kubernetes Cluster Master Node Kube-Control-Manager Nodes Other Components Interacting with Kubernetes Summary Chapter 3. Build What is Docker Where Can I Run Docker? Docker and Containerization on Linux Linux Kernel Features: cgroups and namespaces The Docker-Linux Kernel Interfaces Containerizing an Application Building a Docker Images using Dockerfile Sample Dockerfile Environment Variables Environment Variables - Example Arguments Multi-stage Builds Multi-stage Builds (Contd.) Stop at a Specific Build Stage RUN EXPOSE EXPOSE (Contd.) COPY ADD CMD ENTRYPOINT CMD vs. ENTRYPOINT VOLUME Build the Image Build the Image (contd.) .dockerignore Dockerfile – Best Practices Dockerfile - Best Practices (contd.) Published Ports Docker Documentation Docker Registry Hosting a Local Registry Hosting a Local Registry (contd.) Deploying to Kubernetes Deploying to Kubernetes (contd.) Running Commands in a Container Multi-Container Pod Multi-Container Pod (contd.) Summary Chapter 4. Design Traditional Applications Virtual Machines Containerized Applications Decoupled Resources Transience Flexible Framework Application Resource Usage Measuring Resource Usage Docker Resource Usage Statistics Docker Container Resource Constraints Docker Run Command Resource Flags Using Label Selectors Equality Based Label Selector Set Based Label Selector Multi-Container Pods Sidecar Container Sidecar Container Uses Adapter Container Summary Chapter 5. Deployment Configuration Introduction to Volumes Container OS file system storage Docker Volumes Kubernetes Volumes Volume Specs K8S Volume Types Cloud Resource Types emptyDir Using an emptyDir Volume Other Volume Types Persistent Volumes Creating a Volume Persistent Volume Claim Persistent Volume Pod that uses Persistent Volume Dynamic Volume Provisioning Requesting Dynamic Storage Secrets Creating Secrets from Files Creating Secrets from Literals Using Secrets configMaps Creating configMaps from Literals Creating configMaps from files Using configMaps Security Context Security Context Usage Deployment Configuration Status Replicas Scaling Rolling Updates Summary Chapter 6. Security Security Overview API Server API & Security ~/.kube/config ~/.kube/config (contd.) Kubernetes Access Control Layers Authentication Authorization ABAC Authorization ABAC - Policy Format ABAC - Examples RBAC Authorization Role and ClusterRole Role - Example ClusterRole - Example RoleBinding and ClusterRoleBinding RoleBinding - Example ClusterRoleBinding - Example Authorization Modes - Node Authorization Modes - ABAC Admission Controller Network Policies Network Policies - Examples Network Policies - Pod Isolation Network Policies - Internet Access for Pods Network Policies - New Deployments Summary Chapter 7. Exposing Applications Kubernetes Services Service Resources Service Type ClusterIP NodePort NodePort from Service Spec LoadBalancer LoadBalancer from Service Spec ExternalName Accessing Applications Service Without a Selector Ingress Ingress Resource Example Ingress Controller Service Mesh Summary Chapter 8. Troubleshooting Kubernetes Troubleshooting Overview Objects in Kubernetes Relationships in Kubernetes Operations in Kubernetes Understanding the Issue Troubleshooting Tools Troubleshooting Commands Troubleshooting Pods Troubleshooting the Cluster Cluster Failure Modes Monitoring Monitoring Applications Accessing Logs Logging Tools Conformance Testing Summary Lab Exercises Lab 1. Getting Started with KubernetesLab 2. Building a Docker Image with DockerfileLab 3. Deploying to KubernetesLab 4. Implementing the Sidecar PatternLab 5. Deploying ApplicationsLab 6. Implementing RBAC SecurityLab 7. Accessing ApplicationsLab 8. Troubleshooting We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC. View Course Outline Share This Request On-Site or Customized Course Info Lab Setup Guide REGISTER FOR A COURSEWARE SAMPLE x Sent First Name Last Name Email Request On-Site or Customized Course Info x Sent First Name Last Name Phone Number Company Name Email Question
