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Kubernetes Delivery
Essential Kubernetes Delivery Metrics to Track Best Practices for Kubernetes
Continuous Delivery The Benefits of Kubernetes Delivery Best Practices for
Kubernetes Delivery Kubernetes Delivery for DevOps Teams Kubernetes Delivery
Tips for Scaling Your Applications Top 10 Kubernetes Deployment Tools for
Efficient Delivery The Importance of Continuous Delivery in Kubernetes
Kubernetes Delivery for IT Operations Teams Top 10 Kubernetes Deployment
Security Best Practices Tips for Successful Kubernetes Delivery in Production
Key Benefits of Kubernetes Delivery for DevOps Teams Introduction to Kubernetes
Delivery Kubernetes Delivery Challenges and Solutions Kubernetes Delivery A
Beginners Guide How to Get Started with Kubernetes Delivery Kubernetes Delivery
for Developers Common Kubernetes Delivery Challenges and How to Overcome Them
Kubernetes Delivery vs Traditional Delivery Methods How to Secure Your
Kubernetes Delivery Pipeline Best Practices for Kubernetes Delivery The Future
of Kubernetes Delivery Top 10 Kubernetes Deployment Automation Tools The Role of
Kubernetes Operators in Delivery Kubernetes Delivery Best Tools and Practices
for Testing Top 10 Kubernetes Deployment Patterns for Microservices How to
Automate Kubernetes Delivery with Jenkins 10 Kubernetes Delivery for Business
Leaders How to Monitor Kubernetes Delivery with Prometheus Top 10 Kubernetes
Deployment Strategies for High Availability

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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

📄 k8s IRL
📄 Probably old ....
📄 K8s deployment hierarchy 😅
📄 Learning Kubernetes be like ..
📄 I did the CKA thing
📄 I really enjoyed the etcd reference in the new Lord of the Rings series
📄 I built a kubernetes operator to manage my resume
📄 Starting cloudnative journey be like ..
📄 Kubernetes is not for the faint-hearted 😅
📄 Undoubtedly the biggest mystery in Kubernetes 😅
📄 kubectl get airpods
📄 Explaining cluster security be like ..
📄 Argo became a graduated CNCF project
📄 CEO of Portainer.io here, can i ask a couple of questions?
📄 Does anyone else feel like this?
📄 Don't be like Bill!
📄 Kubecolor
📄 My life trying to get kn to work on microk8s on Multipass
📄 Starting to get into Kubernetes Security...
📄 A wise man said, let’s do Kubernetes. A wiser man said, let’s learn to do
12-factor Apps first
📄 AI is the future
📄 How Kubernetes RBAC works
📄 [URGENT] Netflix Engineer Needs Help Scaling Kubernetes Deployment or I'm
Toast!
📄 Overcoming the real paradox of managing Kubernetes 😅
📄 I quit my job to build a Kubernetes GUI, now looking for feedback!
📄 That wonderful feeling of being on call and at 3am...
📄 The name of my AirPods
📄 Keep away from interns' reach
📄 For the love of god, stop using CPU limits on Kubernetes (updated version)
📄 When you learn the Sidecar Container KEP got dropped from the Kubernets
release. Again.
📄 Why I Will Never Use Alpine Linux Ever Again
📄 Mercedes-Benz Automates 900 Kubernetes Clusters
📄 LFX CKA exam - back to the 90s - Gbit Fibre, 5yr K8s, 25yr unix admin -
undone by LFX exam running in a vm on a RPi using an SDCard for swap. Video
taken when abundantly clear completely impossible to navigate/pass the exam,
chat support zero help. Before after speed tests 400mbit/30msec
📄 Some humor at new years 😀
📄 Passing your CKA exam before having any work experience with Kubernetes
📄 Karpenter consolidation and EKS node viewer
📄 Every time I have to put a YAML in a secret
📄 PlayStation wants to get gameservers running on Kubernetes
📄 I've been collecting a list of k8s/container tools and sorting them by the
number of stars in Github, so far the most complete k8s/container list I know of
with almost 250 entries - hoping this is useful for someone else besides me -
looking for feedback, ideas for improvement and contributors
📄 The future of Kubernetes? 5 trends from Kubecon!
📄 Mirantis is up to more shenanigans with Lens, removes logs and shell.
OpenLens affected as well.
📄 Minecraft as a Kubernetes admin tool
📄 Passed my CKA today using the KodeKloud Course - Thoughts and Tips.
📄 Can we take a moment to appreciate k3s and how easy it makes standing up a
k8s cluster?
📄 How many Kubernetes clusters does your company operate?
📄 Kubeshark PCAP Export
📄 Kubernetes 1.25 will be out next week! - Learn what's new and what's
deprecated - Pod Security Control - Checkpoints - User Namespaces -
NodeExpansion secrets… And more!

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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