k8s in Practice
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Docker and Kubernetes is one of the world’s most popular container and container orchestration tools. Established by the Cloud Native Computing Foundation (CNCF),
Developers often struggle when first encountering the cloud. Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, you’ll get up to speed on patterns for building cloud native applications and best practices for common tasks such as messaging, eventing, and DevOps.
Learning Objectives
The Learning Path will prepare you to understand and demonstrate your knowledge in each of the general domains of developing cloud-native applications using docker and deploying and kubernetes
- Learn the fundamentals of cloud-native applications
- Explore key cloud native communication, connectivity, and composition patterns
- Learn decentralized data management techniques
- Use event-driven architecture to build distributed and scalable cloud-native applications
- Explore the most commonly used patterns for API management and consumption
- Examine some of the tools and technologies you’ll need for building cloud-native systems
Intended Audience
This Learning Path is intended specifically for Docker and Kubernetes application developers. Anyone interested in learning how to work with Kubernetes will also benefit from this Learning Path.
Prerequisites
A solid understanding of containers, and Docker, in particular, will be of value. If you are not comfortable with Docker and Kubernetes, you are encouraged to complete the Docker and Kubernetes Learning Path.
This Learning path helps you to learn from fundamentals to advanced Docker and Kubernetes running on Linux machines. You should be comfortable working with basic Linux commands.
Additional Documentation
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7Installing kubeadm to Create a Kubernetes Cluster
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8Bootstrapping a Kubernetes Cluster Using kubeadm
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9Downloading a Kubernetes Release from GitHub
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10Downloading Client and Server Binaries
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11Using a hyperkube Image to Run a Kubernetes Master Node with Docker
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12Writing a systemd Unit File to Run Kubernetes Components
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13Creating a Kubernetes Cluster on Google Kubernetes Engine (GKE)
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14Creating a Kubernetes Cluster on Azure Container Service (ACS)
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42Exchanging Data Between Containers via a Local Volume
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43Passing an API Access Key to a Pod Using a Secret
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44Providing Configuration Data to an Application
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45Using a Persistent Volume with Minikube
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46Understanding Data Persistency on Minikube
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47Dynamically Provisioning Persistent Storage on GKE
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56Accessing the Logs of a Container
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57Recover from a Broken State with a Liveness Probe
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58Controlling Traffic Flow to a Pod Using a Readiness Probe
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59Adding Liveness and Readiness Probes to Your Deployments
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60Enabling Heapster on Minikube to Monitor Resources
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61Using Prometheus on Minikube
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62Using Elasticsearch–Fluentd–Kibana (EFK) on Minikube
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63Enabling Autocomplete for kubectl
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64Removing a Pod from a Service
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65Accessing a ClusterIP Service Outside the Cluster
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66Understanding and Parsing Resource Statuses
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67Debugging Pods
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68Getting a Detailed Snapshot of the Cluster State
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69Adding Kubernetes Worker Nodes
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70Draining Kubernetes Nodes for Maintenance
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71Managing etcd
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76Installing Helm, the Kubernetes Package Manager
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77Using Helm to Install Applications
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78Creating Your Own Chart to Package Your Application with Helm
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79Converting Your Docker Compose Files to Kubernetes Manifests
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80Creating a Kubernetes Cluster with kubicorn
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81Storing Encrypted Secrets in Version Control
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82Deploying Functions with kubeless
Coming Soon