Kubernetes Delivery

k8s.delivery

At k8s.delivery, our mission is to provide a comprehensive resource for all things related to Kubernetes delivery. We aim to be the go-to site for developers, DevOps engineers, and anyone interested in learning about Kubernetes delivery. Our goal is to provide high-quality, up-to-date information, tutorials, and best practices that will help our users successfully deploy and manage Kubernetes applications. We are committed to fostering a community of learners and practitioners who can share their knowledge and experience to help others succeed with Kubernetes delivery.

Video Introduction Course Tutorial

/r/kubernetes Yearly

Introduction

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It is designed to work with a wide range of container runtimes, including Docker, and can be used to manage applications across multiple hosts and clouds.

Kubernetes has become the de facto standard for container orchestration, and is used by organizations of all sizes to deploy and manage their applications. In this cheat sheet, we will cover everything you need to know to get started with Kubernetes, including the key concepts, topics, and categories related to Kubernetes delivery.

Key Concepts

1. Containers: Containers are lightweight, portable, and self-contained environments that can run applications and their dependencies. Kubernetes uses containers to package and deploy applications.

2. Pods: Pods are the smallest deployable units in Kubernetes. They contain one or more containers and share the same network namespace and storage volumes.

3. Nodes: Nodes are the physical or virtual machines that run the Kubernetes software and host the pods.

4. Clusters: Clusters are groups of nodes that work together to run the Kubernetes software and manage the pods.

5. Services: Services are Kubernetes objects that provide a stable IP address and DNS name for a set of pods. They enable communication between pods and external clients.

6. Deployments: Deployments are Kubernetes objects that manage the rollout and scaling of pods. They enable you to update your application without downtime.

7. ConfigMaps: ConfigMaps are Kubernetes objects that store configuration data in key-value pairs. They enable you to separate configuration from your application code.

8. Secrets: Secrets are Kubernetes objects that store sensitive data, such as passwords and API keys, in an encrypted format. They enable you to securely store and manage sensitive data.

9. Namespaces: Namespaces are Kubernetes objects that provide a way to divide a cluster into multiple virtual clusters. They enable you to isolate resources and manage access control.

10. Helm: Helm is a package manager for Kubernetes that enables you to install, upgrade, and manage applications on Kubernetes. It provides a way to package and distribute Kubernetes applications.

Topics

1. Kubernetes Architecture: Kubernetes architecture consists of several components, including the API server, etcd, kubelet, and kube-proxy. Understanding the architecture is essential for deploying and managing Kubernetes clusters.

2. Kubernetes Networking: Kubernetes networking enables communication between pods and external clients. It includes several networking models, such as host networking, overlay networking, and service networking.

3. Kubernetes Storage: Kubernetes storage enables you to store and manage data in a Kubernetes cluster. It includes several storage models, such as local storage, network-attached storage, and block storage.

4. Kubernetes Security: Kubernetes security is essential for protecting your applications and data. It includes several security models, such as RBAC, network policies, and pod security policies.

5. Kubernetes Monitoring: Kubernetes monitoring enables you to monitor the health and performance of your Kubernetes cluster and applications. It includes several monitoring tools, such as Prometheus, Grafana, and Elasticsearch.

6. Kubernetes Logging: Kubernetes logging enables you to collect and analyze logs from your Kubernetes cluster and applications. It includes several logging tools, such as Fluentd, Logstash, and Elasticsearch.

7. Kubernetes CI/CD: Kubernetes CI/CD enables you to automate the deployment and testing of your applications on Kubernetes. It includes several CI/CD tools, such as Jenkins, GitLab, and CircleCI.

8. Kubernetes Operators: Kubernetes Operators enable you to automate the management of complex applications on Kubernetes. They provide a way to extend Kubernetes with custom controllers and APIs.

Categories

1. Getting Started: Getting started with Kubernetes involves setting up a Kubernetes cluster, deploying your first application, and learning the basics of Kubernetes.

2. Deploying Applications: Deploying applications on Kubernetes involves creating pods, services, and deployments, and managing the rollout and scaling of your applications.

3. Managing Resources: Managing resources on Kubernetes involves managing pods, nodes, namespaces, and other Kubernetes objects, and monitoring the health and performance of your cluster.

4. Configuring Applications: Configuring applications on Kubernetes involves using ConfigMaps and Secrets to store and manage configuration data, and using environment variables and command-line arguments to pass configuration data to your applications.

5. Securing Applications: Securing applications on Kubernetes involves using RBAC, network policies, and pod security policies to control access to your applications and data, and using TLS and encryption to secure communication between pods and external clients.

6. Monitoring Applications: Monitoring applications on Kubernetes involves using Prometheus, Grafana, and other monitoring tools to collect and analyze metrics and logs from your applications and cluster.

7. Automating Deployments: Automating deployments on Kubernetes involves using Helm, Operators, and other automation tools to package, distribute, and manage your applications on Kubernetes.

Conclusion

Kubernetes is a powerful platform for deploying and managing containerized applications. It provides a wide range of features and tools for managing resources, configuring applications, securing applications, monitoring applications, and automating deployments. By understanding the key concepts, topics, and categories related to Kubernetes delivery, you can get started with Kubernetes and take advantage of its full potential.

Common Terms, Definitions and Jargon

1. Kubernetes: An open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
2. Container: A lightweight, standalone executable package that includes everything needed to run an application, including code, libraries, and dependencies.
3. Pod: The smallest deployable unit in Kubernetes, consisting of one or more containers that share the same network namespace and storage volumes.
4. ReplicaSet: A Kubernetes object that ensures a specified number of replicas of a pod are running at all times.
5. Deployment: A Kubernetes object that manages the rollout and scaling of a set of replicasets.
6. Service: A Kubernetes object that provides a stable IP address and DNS name for a set of pods, allowing them to be accessed by other services or external clients.
7. Ingress: A Kubernetes object that manages external access to a set of services, typically by routing traffic based on URL paths or hostnames.
8. Namespace: A Kubernetes object that provides a way to partition resources within a cluster, allowing multiple teams or applications to share the same cluster without interfering with each other.
9. Node: A physical or virtual machine that runs Kubernetes components and hosts pods.
10. Cluster: A set of nodes that run Kubernetes, managed by a master node that coordinates the scheduling and deployment of pods.
11. API server: The central control plane component of Kubernetes that exposes the Kubernetes API and handles requests from clients.
12. etcd: A distributed key-value store used by Kubernetes to store cluster state and configuration data.
13. Controller: A Kubernetes component that watches for changes to the desired state of a resource and takes action to ensure the actual state matches.
14. Operator: A Kubernetes extension that encapsulates domain-specific knowledge and automates complex application management tasks.
15. Helm: A package manager for Kubernetes that simplifies the installation and management of complex applications.
16. Chart: A Helm package that contains all the resources needed to deploy a specific application or service.
17. Tiller: A server-side component of Helm that manages the installation and upgrade of charts.
18. ConfigMap: A Kubernetes object that stores configuration data as key-value pairs, allowing it to be easily consumed by pods.
19. Secret: A Kubernetes object that stores sensitive data, such as passwords or API keys, in an encrypted form.
20. Volume: A Kubernetes object that provides persistent storage for pods, allowing data to survive pod restarts or rescheduling.

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