#ReplicaSets

[dgruploads]

AWS EKS | Episode 10 | ReplicaSets, Deployments and Services in Kubernetes | Lets discuss.

[thesysadm]

Complete Real-World DevOps Project | Deploy using K8S from Ansible | Rep...

[mak1210]

New Trick – Organizing Prisma Models with the MERN Stack – Prisma #16

In this blog, we will explore “New Trick – Organizing Prisma Models with the MERN Stack”. Here, you will learn how to split and organize Prisma models, enums & types from the prisma.schema file into multiple files and import predefined data from JSON files. Let’s dive in and check it out:

[korshubudemycoursesblog]

Certified Kubernetes Application Developer: Your Step-by-Step Guide to Certification Success

Kubernetes has become a powerhouse in the tech world, reshaping how applications are deployed and managed. As more companies shift to containerized applications and cloud-native architectures, the demand for Certified Kubernetes Application Developers (CKADs) continues to grow. This certification is a gateway for anyone looking to prove their skills in Kubernetes application development and make a mark in DevOps.

But what does it mean to be a Certified Kubernetes Application Developer? What benefits does this certification offer, and how can you prepare effectively? Here’s a comprehensive guide designed to give you all the insights and steps you need to become CKAD certified.

What is the Certified Kubernetes Application Developer Certification?

The Certified Kubernetes Application Developer (CKAD) certification is designed for those who are proficient in designing, building, and managing applications in a Kubernetes environment. This certification focuses on real-world skills and validates your ability to deploy, troubleshoot, and manage applications on Kubernetes clusters.

Kubernetes, managed by the Cloud Native Computing Foundation (CNCF), has become the backbone of scalable applications, and the CKAD exam is recognized globally. With this certification, you’ll showcase a high level of competency in handling the complexities of Kubernetes, proving invaluable to companies adopting containerized solutions.

Why Choose the Certified Kubernetes Application Developer Certification?

Career Advancement: With a CKAD certification, you’ll have proof of your Kubernetes skills, which is crucial in today’s DevOps-centric job market. Companies are on the lookout for Certified Kubernetes Application Developers who can manage application lifecycles within Kubernetes clusters.

High Demand: Kubernetes has quickly become a standard in application deployment. With the Certified Kubernetes Application Developer certification, you are positioning yourself in one of the most sought-after areas of tech.

Competitive Edge: Many IT professionals may know Kubernetes, but a CKAD-certified developer has verified skills. The certification proves your expertise in managing containerized applications in production environments, a key asset for employers.

Global Recognition: The Certified Kubernetes Application Developer credential is recognized worldwide, making it a valuable addition to your resume regardless of your location.

Increased Salary Potential: Professionals with CKAD certification often earn higher salaries due to the specialized skills required. This certification not only opens doors but also ensures competitive compensation.

What Skills Will You Learn with the Certified Kubernetes Application Developer Certification?

The CKAD exam measures proficiency in the following areas, which are essential for every Kubernetes developer:

Application Design and Deployment: Learn how to design applications that can seamlessly run on Kubernetes. This includes understanding Kubernetes objects, such as Pods, Deployments, and ReplicaSets.

Application Observability: Monitoring is a key skill. You’ll gain knowledge in handling logs and metrics to keep track of applications, a crucial part of maintaining reliable systems.

Configuration: The CKAD certification covers Kubernetes configurations for applications, including secrets, config maps, and persistent storage.

Services & Networking: Master the art of connecting applications within and outside Kubernetes. This part covers Services, DNS, and Ingress controllers.

Troubleshooting: Being able to troubleshoot is critical. CKADs are skilled in diagnosing issues with deployments, Pods, and clusters, helping maintain smooth operations.

Preparing for the Certified Kubernetes Application Developer Exam: Tips and Resources

Here’s how you can effectively prepare for the Certified Kubernetes Application Developer certification:

1. Understand the Exam Format

The CKAD exam consists of multiple performance-based tasks to complete within two hours. It’s essential to practice under time constraints, as the exam tests your speed and accuracy in applying Kubernetes concepts. The tasks range across different domains, each with a specific weight. This real-world exam format means you should focus on hands-on practice.

2. Use Official CNCF Resources

CNCF provides free resources, including the Kubernetes Documentation and CKAD-specific guides. These resources will help you understand the core concepts, especially if you’re new to Kubernetes.

3. Enroll in a Kubernetes Course

Several courses are designed specifically for CKAD preparation. A Certified Kubernetes Application Developer course can guide you step-by-step through the skills required for the exam. Many platforms, including Udemy and Coursera, offer comprehensive CKAD prep courses that cover all domains in detail.

4. Practice, Practice, Practice

Kubernetes is a hands-on tool, so theoretical knowledge alone won’t help you. Create a Kubernetes cluster, practice deploying applications, and experiment with different Kubernetes components like Pods, Services, and ConfigMaps. Websites like Katacoda and Play with Kubernetes offer sandboxes where you can practice for free.

5. Review Common Commands and YAML Files

Understanding YAML syntax and common Kubernetes commands is crucial for the CKAD exam. The more comfortable you are with commands like kubectl run, kubectl apply, and kubectl expose, the faster you’ll be during the exam. Also, review how to work with YAML files to define Pods, Deployments, and other Kubernetes objects.

6. Test Yourself with Sample Questions

Sample questions and mock exams are invaluable. They not only test your knowledge but also help you familiarize yourself with the CKAD’s practical format. You can find sample exams in resources like Linux Academy or KodeKloud’s CKAD labs.

Exam Day: Tips for Success

Set Up Your Environment: Make sure your testing environment is stable and distraction-free. The exam requires focus, so ensure your workspace is ready.

Be Time-Conscious: The CKAD exam is time-bound, so aim to spend no more than 5–10 minutes on each task. If you’re stuck, move on and return later.

Use Built-In Documentation: The Kubernetes documentation is available during the exam. Use it to your advantage, but don’t rely too heavily on it. Knowing your commands and YAML structures beforehand will save you time.

Stay Calm: The pressure of a timed, hands-on exam can be intense. Trust your preparation, and remember to approach each question methodically.

What’s Next After Getting Your CKAD?

After earning your Certified Kubernetes Application Developer certification, you’re well on your way in the Kubernetes world! But Kubernetes is constantly evolving. Here are some next steps to deepen your expertise:

Certified Kubernetes Administrator (CKA): This certification focuses on Kubernetes administration. It’s ideal if you want to expand your knowledge beyond application development.

Specialized Kubernetes Tools: Explore Kubernetes tools like Helm, Istio, and Prometheus to further your containerization and monitoring skills. Many Kubernetes projects rely on these tools for advanced functionality.

Real-World Projects: Put your CKAD skills to use in real-world projects. Many employers value hands-on experience, so consider working on cloud-native projects that utilize Kubernetes.

Contribute to Open Source: Contributing to Kubernetes or related projects can further solidify your skills and enhance your resume. The Kubernetes community welcomes contributions from developers worldwide.

Conclusion: Becoming a Certified Kubernetes Application Developer Is a Game-Changer

Earning the Certified Kubernetes Application Developer certification isn’t just a feather in your cap; it’s a leap forward in your career. By mastering Kubernetes, you open doors to roles that involve cloud-native development, DevOps, and beyond. The demand for Certified Kubernetes Application Developers is only growing as organizations recognize the value of containerized applications.

[karamathalip]

Introduction to Kubernetes

Kubernetes, often abbreviated as K8s, is an open-source platform designed to automate deploying, scaling, and operating application containers. Originally developed by Google, it is now maintained by the Cloud Native Computing Foundation (CNCF). Kubernetes has become the de facto standard for container orchestration, offering a robust framework for managing microservices architectures in production environments.

In today's rapidly evolving tech landscape, Kubernetes plays a crucial role in modern application development. It provides the necessary tools and capabilities to handle complex, distributed systems reliably and efficiently. From scaling applications seamlessly to ensuring high availability, Kubernetes is indispensable for organizations aiming to achieve agility and resilience in their software deployments.

History and Evolution of Kubernetes

The origins of Kubernetes trace back to Google's internal system called Borg, which managed large-scale containerized applications. Drawing from years of experience and lessons learned with Borg, Google introduced Kubernetes to the public in 2014. Since then, it has undergone significant development and community contributions, evolving into a comprehensive and flexible orchestration platform.

Some key milestones in the evolution of Kubernetes include its donation to the CNCF in 2015, the release of version 1.0 the same year, and the subsequent releases that brought enhanced features and stability. Today, Kubernetes is supported by a vast ecosystem of tools, extensions, and integrations, making it a cornerstone of cloud-native computing.

Key Concepts and Components

Nodes and Clusters

A Kubernetes cluster is a set of nodes, where each node can be either a physical or virtual machine. There are two types of nodes: master nodes, which manage the cluster, and worker nodes, which run the containerized applications.

Pods and Containers

At the core of Kubernetes is the concept of a Pod, the smallest deployable unit that can contain one or more containers. Pods encapsulate an application’s container(s), storage resources, a unique network IP, and options on how the container(s) should run.

Deployments and ReplicaSets

Deployments are used to manage and scale sets of identical Pods. A Deployment ensures that a specified number of Pods are running at all times, providing declarative updates to applications. ReplicaSets are a subset of Deployments that maintain a stable set of replica Pods running at any given time.

Services and Networking

Services in Kubernetes provide a stable IP address and DNS name to a set of Pods, facilitating seamless networking. They abstract the complexity of networking by enabling communication between Pods and other services without needing to manage individual Pod IP addresses.

Kubernetes Architecture

Master and Worker Nodes

The Kubernetes architecture is based on a master-worker model. The master node controls and manages the cluster, while the worker nodes run the applications. The master node’s key components include the API server, scheduler, and controller manager, which together manage the cluster’s state and lifecycle.

Control Plane Components

The control plane, primarily hosted on the master node, comprises several critical components:

API Server: The front-end for the Kubernetes control plane, handling all API requests for managing cluster resources.

etcd: A distributed key-value store that holds the cluster’s state data.

Scheduler: Assigns workloads to worker nodes based on resource availability and other constraints.

Controller Manager: Runs various controllers to regulate the state of the cluster, such as node controllers, replication controllers, and more.

Node Components

Each worker node hosts several essential components:

kubelet: An agent that runs on each node, ensuring containers are running in Pods.

kube-proxy: Maintains network rules on nodes, enabling communication to and from Pods.

Container Runtime: Software responsible for running the containers, such as Docker or containerd.

[antoniohostinger]

Nova Aula 05: ReplicaSets no Kubernetes!

Olá, pessoal do Código Fluente!

Estamos empolgados em compartilhar que a Aula 05 do nosso curso sobre Kubernetes já está disponível. 🚀

Nesta aula emocionante, vamos explorar os ReplicaSets e como eles desempenham um papel crucial no Kubernetes. Saiba como eles garantem a estabilidade das aplicações e como usá-los para gerenciar suas aplicações em Kubernetes.

Assista à aula: https://www.codigofluente.com.br/aula-05-kubernates-replicaset

Obrigado por fazer parte da nossa comunidade de aprendizado. Aproveite a oportunidade de elevar seu conhecimento em Kubernetes!

#Kubernetes #Aula05 #ReplicaSets #Desenvolvimento #Aprendizado #Codigofluente"

[codeonedigest]

Kubernetes Replica Set Tutorial for Devops Beginners and Students  

https://youtube.com/shorts/YACOITtBvUk Hi, a new #video on #kubernetes #replicaset is published on #codeonedigest #youtube channel. Learn #kubernetesreplicaset #node #docker #container #cloud #aws #azure #programming #coding with #codeonedigest @java

ReplicaSet is to maintain a stable set of replica Pods running at any given time. RS used to guarantee the availability of a specified number of identical Pods. Replica-Set is very much similar to replication controller. The key difference between the replica set and the replication controller is, the replication controller only supports equality-based selector whereas the replica set supports…

[doremonlabs]

What is Kubernetes  ?

Kubernetes is an open-source platform for automating the deployment, scaling, and management of containerized applications. It provides a way to run and manage containers on a large number of hosts, offering a high-level API for defining how applications should run, and helps to ensure that the correct number of replicas of each application component are running and healthy.

Kubernetes  Architecture:-

The Kubernetes architecture consists of a set of interconnected components, each serving a specific purpose. The main components are:

API Server: The central component that exposes the Kubernetes API and serves as the frontend for all other components.

etcd: A distributed key-value store that stores configuration data for the cluster.

Controller Manager: A component that oversees the state of the cluster and makes changes to ensure it matches the desired state.

Scheduler: A component that decides where to run each application component based on available resources and constraints.

Kubelet: A component that runs on each node and communicates with the API Server to ensure the desired containers are running on the node.

Container Runtime: A component that runs containers and communicates with the Kubelet to start and stop containers.

kubectl: A command-line tool for interacting with a Kubernetes cluster.

These components work together to manage containers and ensure that the desired state of the application is maintained, even in the face of failures or changes in the environment.

Kubernetes  Deployment:-

Kubernetes  deployment is the process of creating and managing instances of your application on a Kubernetes cluster. A deployment in Kubernetes is a higher-level abstraction that provides several benefits over directly managing individual pods, including:

Rolling updates: The ability to perform zero-downtime updates of your application.

Rollback: The ability to revert to a previous version of your application if an update goes wrong.

Scaling: The ability to increase or decrease the number of replicas of your application components to handle changes in load.

To deploy an application in Kubernetes, you create a deployment resource that describes how many replicas of your application you want to run, what image to use, and any other desired parameters. The deployment then creates and manages the necessary pods and replicasets to run your application.

Once the deployment is created, you can use the Kubernetes  API or command-line tool to perform various tasks, such as scaling the number of replicas, updating the image, or rolling back to a previous version.

Kubernetes deployments provide a convenient and flexible way to manage the lifecycle of your applications on a cluster.

Visit our website for more: https://www.doremonlabs.com/

[inthetechpit]

Kubernetes ReplicaSet example on Mac using VS Code

Kubernetes ReplicaSet example on Mac using VS Code

A ReplicaSet helps load balance and scale our Application up or down when the demand for it changes. It makes sure the desired number of pods are always running for high availability. I’m using VS Code on Mac to create the below yaml file. Create the following yaml file: apiVersion: apps/v1 kind: ReplicaSet metadata: name: myapp-replicaset labels: app: myapp spec: selector: matchLabels: app:…

[db-engines-opensource]

Replica set configuration in MongoDB

[dgruploads]

AWS EKS | Episode 9 | Control Plane and Namespaces in Kuberenetes

[cloud2help-blog]

[mak1210]

Best Way – MongoDB Replica Set for Prisma Queries Running – Prisma #15

In this blog, we will explore how to resolve the issue of “MongoDB Replica Set for Prisma queries running”. This error commonly occurs after setting up MongoDB in Prisma ORM and running database queries. Let’s dive in and check it out now

[korshubudemycoursesblog]

Kubernetes with HELM: A Complete Guide to Managing Complex Applications

Kubernetes is the backbone of modern cloud-native applications, orchestrating containerized workloads for improved scalability, resilience, and efficient deployment. HELM, on the other hand, is a Kubernetes package manager that simplifies the deployment and management of applications within Kubernetes clusters. When Kubernetes and HELM are used together, they bring seamless deployment, management, and versioning capabilities, making application orchestration simpler.

This guide will cover the basics of Kubernetes and HELM, their individual roles, the synergy they create when combined, and best practices for leveraging their power in real-world applications. Whether you are new to Kubernetes with HELM or looking to deepen your knowledge, this guide will provide everything you need to get started.

What is Kubernetes?

Kubernetes is an open-source platform for automating the deployment, scaling, and management of containerized applications. Developed by Google, it’s now managed by the Cloud Native Computing Foundation (CNCF). Kubernetes clusters consist of nodes, which are servers that run containers, providing the infrastructure needed for large-scale applications. Kubernetes streamlines many complex tasks, including load balancing, scaling, resource management, and auto-scaling, which can be challenging to handle manually.

Key Components of Kubernetes:

Pods: The smallest deployable units that host containers.

Nodes: Physical or virtual machines that host pods.

ReplicaSets: Ensure a specified number of pod replicas are running at all times.

Services: Abstractions that allow reliable network access to a set of pods.

Namespaces: Segregate resources within the cluster for better management.

Introduction to HELM: The Kubernetes Package Manager

HELM is known as the "package manager for Kubernetes." It allows you to define, install, and upgrade complex Kubernetes applications. HELM simplifies application deployment by using "charts," which are collections of files describing a set of Kubernetes resources.

With HELM charts, users can quickly install pre-configured applications on Kubernetes without worrying about complex configurations. HELM essentially enables Kubernetes clusters to be as modular and reusable as possible.

Key Components of HELM:

Charts: Packaged applications for Kubernetes, consisting of resource definitions.

Releases: A deployed instance of a HELM chart, tracked and managed for updates.

Repositories: Storage locations for charts, similar to package repositories in Linux.

Why Use Kubernetes with HELM?

The combination of Kubernetes with HELM brings several advantages, especially for developers and DevOps teams looking to streamline deployments:

Simplified Deployment: HELM streamlines Kubernetes deployments by managing configuration as code.

Version Control: HELM allows version control for application configurations, making it easy to roll back to previous versions if necessary.

Reusable Configurations: HELM’s modularity ensures that configurations are reusable across different environments.

Automated Dependency Management: HELM manages dependencies between different Kubernetes resources, reducing manual configurations.

Scalability: HELM’s configurations enable scalability and high availability, key elements for large-scale applications.

Installing HELM and Setting Up Kubernetes

Before diving into using Kubernetes with HELM, it's essential to install and configure both. This guide assumes you have a Kubernetes cluster ready, but we will go over installing and configuring HELM.

1. Installing HELM:

Download HELM binaries from the official HELM GitHub page.

Use the command line to install and configure HELM with Kubernetes.

Verify HELM installation with: bash Copy code helm version

2. Adding HELM Repository:

HELM repositories store charts. To use a specific repository, add it with the following:

bash

Copy code

helm repo add [repo-name] [repo-URL]

helm repo update

3. Deploying a HELM Chart:

Once HELM and Kubernetes are ready, install a chart:

bash

Copy code

helm install [release-name] [chart-name]

Example:

bash

Copy code

helm install myapp stable/nginx

This installs the NGINX server from the stable HELM repository, demonstrating how easy it is to deploy applications using HELM.

Working with HELM Charts in Kubernetes

HELM charts are the core of HELM’s functionality, enabling reusable configurations. A HELM chart is a package that contains the application definition, configurations, dependencies, and resources required to deploy an application on Kubernetes.

Structure of a HELM Chart:

Chart.yaml: Contains metadata about the chart.

values.yaml: Configuration values used by the chart.

templates: The directory containing Kubernetes resource files (e.g., deployment, service).

charts: Directory for dependencies.

HELM Commands for Chart Management:

Install a Chart: helm install [release-name] [chart-name]

Upgrade a Chart: helm upgrade [release-name] [chart-name]

List Installed Charts: helm list

Rollback a Chart: helm rollback [release-name] [revision]

Best Practices for Using Kubernetes with HELM

To maximize the efficiency of Kubernetes with HELM, consider these best practices:

Use Values Files for Configuration: Instead of editing templates, use values.yaml files for configuration. This promotes clean, maintainable code.

Modularize Configurations: Break down configurations into modular charts to improve reusability.

Manage Dependencies Properly: Use requirements.yaml to define and manage dependencies effectively.

Enable Rollbacks: HELM provides a built-in rollback functionality, which is essential in production environments.

Automate Using CI/CD: Integrate HELM commands within CI/CD pipelines to automate deployments and updates.

Deploying a Complete Application with Kubernetes and HELM

Consider a scenario where you want to deploy a multi-tier application with Kubernetes and HELM. This deployment can involve setting up multiple services, databases, and caches.

Steps for a Multi-Tier Deployment:

Create Separate HELM Charts for each service in your application (e.g., frontend, backend, database).

Define Dependencies in requirements.yaml to link services.

Use Namespace Segmentation to separate environments (e.g., development, testing, production).

Automate Scaling and Monitoring: Set up auto-scaling for each service using Kubernetes’ Horizontal Pod Autoscaler and integrate monitoring tools like Prometheus and Grafana.

Benefits of Kubernetes with HELM for DevOps and CI/CD

HELM and Kubernetes empower DevOps teams by enabling Continuous Integration and Continuous Deployment (CI/CD), improving the efficiency of application updates and version control. With HELM, CI/CD pipelines can automatically deploy updated Kubernetes applications without manual intervention.

Automated Deployments: HELM’s charts make deploying new applications faster and less error-prone.

Simplified Rollbacks: With HELM, rolling back to a previous version is straightforward, critical for continuous deployment.

Enhanced Version Control: HELM’s configuration files allow DevOps teams to keep track of configuration changes over time.

Troubleshooting Kubernetes with HELM

Here are some common issues and solutions when working with Kubernetes and HELM:

Failed HELM Deployment:

Check logs with kubectl logs.

Use helm status [release-name] for detailed status.

Chart Version Conflicts:

Ensure charts are compatible with the cluster’s Kubernetes version.

Specify chart versions explicitly to avoid conflicts.

Resource Allocation Issues:

Ensure adequate resource allocation in values.yaml.

Use Kubernetes' resource requests and limits to manage resources effectively.

Dependency Conflicts:

Define exact dependency versions in requirements.yaml.

Run helm dependency update to resolve issues.

Future of Kubernetes with HELM

The demand for scalable, containerized applications continues to grow, and so will the reliance on Kubernetes with HELM. New versions of HELM, improved Kubernetes integrations, and more powerful CI/CD support will undoubtedly shape how applications are managed.

GitOps Integration: GitOps, a popular methodology for managing Kubernetes resources through Git, complements HELM’s functionality, enabling automated deployments.

Enhanced Security: The future holds more secure deployment options as Kubernetes and HELM adapt to meet evolving security standards.

Conclusion

Using Kubernetes with HELM enhances application deployment and management significantly, making it simpler to manage complex configurations and orchestrate applications. By following best practices, leveraging modular charts, and integrating with CI/CD, you can harness the full potential of this powerful duo. Embracing Kubernetes and HELM will set you on the path to efficient, scalable, and resilient application management in any cloud environment.

With this knowledge, you’re ready to start using Kubernetes with HELM to transform the way you manage applications, from development to production!

[kubernetes-cheat-sheet-2a]

kubernetes cheat sheet 100% working NLBU%

💾 ►►► DOWNLOAD FILE 🔥🔥🔥🔥🔥 See the helpful list of each commonly used category or component of Kubernetes (K8S) with appropriate kubectl commands for quick reference! This cheatsheet will serve as a quick reference to make commands on many common Kubernetes components and resources. You can use the full command for an object. See also: Kubectl overview and JsonPath guide. Creating Objects. $ kubectl create -f ./ # create resource(s) in a json or. Kubectl Cheat Sheet: 10 Critical Commands & Examples. The kubectl command line tool can help you perform almost any action on your Kubernetes cluster. 9 If you are a student who is just starting off with their journey with DevOps or you are a professional who wishes to switch to DevOps or you are a learner looking to enhance their knowledge about Kubernetes, then you are at the right place. Kubernetes aka K8s is one of the buzzing technologies now, before moving onto the cheat sheet it is essential to brush up on your basics by understanding what Kubernetes is, what are its uses and how does it help? Let's start with the formal definition first, Kubernetes is a portable, extensible, open-source platform for managing containerization workloads and services that facilitates both declarative configuration and automation, letting you run distributed systems resiliently with scaling and failover for your application. Don't be scared of the jargon used in the definition above. To simplify it we can say that Kubernetes is simply a container orchestrator that makes sure that each container is where it is supposed to be and that the containers work properly. This can be considered analogous to the conductor that manages everything in an orchestra for example. The analogy between Kubernetes and an orchestra is quite helpful, just like the orchestra conductor makes sure that the music is as per the composer's requirements, Kubernetes ensures that the services are running smoothly the way an app developer wants. Kubernetes came into the picture after the Software development teams started switching from monolithic and microservices architecture to containerization because of scalability and deployment issues. Containerization does solve the issue of scalability, downtime and dependency management quite efficiently however there are still some issues that remain unsolved. Upgrading the container is quite easy, you can simply create a new version of the container and deploy it in place of the old one, however, the problem is how to do upgrades without downtime? That's how Kubernetes comes to the rescue! Kubernetes provides you with a framework to run distributed systems resiliently. It takes care of scaling and failover for your application, provides deployment patterns, and more. For example, Kubernetes can easily manage a canary deployment for your system. A Node is a worker machine in Kubernetes and may be either a virtual or a physical machine, depending on the cluster. Each Node is managed by the control plane. A Node can have multiple pods, and the Kubernetes control plane automatically handles scheduling the pods across the Nodes in the cluster. Pods are the smallest deployable units of computing that you can create and manage in Kubernetes. In Kubernetes, namespaces provide a mechanism for isolating groups of resources within a single cluster. Names of resources need to be unique within a namespace, but not across namespaces. In Kubernetes, a Service is an abstraction which defines a logical set of Pods and a policy by which to access them sometimes this pattern is called a micro-service. A Deployment provides declarative updates for Pods and ReplicaSets. The typical use case of deployments are to create a deployment to rollout a ReplicaSet, declare the new state of the pods and rolling back to an earlier deployment revision. A DaemonSet ensures that all or some Nodes run a copy of a Pod. As nodes are added to the cluster, Pods are added to them. As nodes are removed from the cluster, those Pods are garbage collected. Deleting a DaemonSet will clean up the Pods it created. Logs are useful when debugging problems and monitoring cluster activity. They help to understand what is happening inside the application. A ReplicaSet's purpose is to maintain a stable set of replica Pods running at any given time. As such, it is often used to guarantee the availability of a specified number of identical Pods. Kubernetes is a portable, extensible, open-source platform for managing containerization workloads and services that facilitates both declarative configuration and automation, letting you run distributed systems resiliently with scaling and failover for your application. Knowing Kubernetes is a must-have skill whether you are a developer, a tester or a DevOps engineer, I hope this article has helped you out. If you are preparing for your interviews as a fresher or if you are an experienced person looking to switch jobs, then InterviewBit is the right place to start. It has several tracks including Programming, System Design, Puzzles and Scripting along with company-specific preparation guides and fast track courses. In Kubernetes, each Pod has an IP address. A Pod can communicate with another Pod by directly addressing its IP address, but the recommended way is to use Services. By default, The pods don't get scheduled when a node is tainted, however, you can start applying tolerations to the pod spec using the command. Load balancing is a way to distribute the incoming traffic into multiple backend servers, which is useful to ensure the application available to the users. Personalised feedback report with solutions Real life Interview Questions Identify exact topics to improve. Before you go! Take this "Kubernetes Kubectl Cheat Sheet" interview guide with you. Download PDF. Enter the name of your college. Type to search. Computer Science. Information Technology. Mathematics and Computing. Before After Forgot Password. Learn Kubernetes: Basics to Advanced Concepts 1. Kubernetes Terminology 2. Kubernetes Commands 3. Changing Resource Attributes 4. For Cluster Introspection 5. Interacting with Deployments and Services 6. Copy files and directories to and from containers Frequently Asked Questions 7. How can containers within a pod communicate with each other? If a node is tainted is there a way to still schedule the pods to that node? What is the role of Load Balance in Kubernetes? Kubernetes MCQ Questions. Crack your next tech interview with confidence! Kubernetes Terminology Terms that you should be familiar with before starting off with Kubernetes are enlisted below: Terms Explanation Cluster It can be thought of as a group of physical or virtual servers where Kubernetes is installed. Nodes There are two types of Nodes, Master node is a physical or virtual server that is used to control the Kubernetes cluster. Worker node is the physical or virtual server where workload runs in given container technology. Pods The group of containers that shares the same network namespaces. Labels These are the key-value pairs defined by the user and associated with Pods. Master It controls plane components to provide access points for admins to manage the cluster workloads. Service It can be viewed as an abstraction that serves as a proxy for a group of Pods performing a "service". Since now we have a fair understanding of what Kubernetes is, let's now jump to the cheat sheet. Kubernetes Commands Viewing Resource Information: 1. Commands Description kubectl get node To list down all worker nodes. Commands Description kubectl get po To list the available pods in the default namespace. Commands Description kubectl get services To list one or more services. Command Description kubectl get ds To list out all the daemon sets. Events Kubernetes events allow us to paint a performative picture of the clusters. Commands Description kubectl get events To list down the recent events for all the resources in the system. Logs Logs are useful when debugging problems and monitoring cluster activity. ReplicaSets A ReplicaSet's purpose is to maintain a stable set of replica Pods running at any given time. Service Accounts A service account provides an identity for processes that run in a Pod. Changing Resource Attributes Taints: They ensure that pods are not placed on inappropriate nodes. Labels: They are used to identify pods. Click here to download. Frequently Asked Questions 7. The init containers will set a stage for you before running the actual POD. Wait for some time before starting the app Container with a command like sleep Clone a git repository into a volume. All of the above. Kubectl run. Kubernets get deployment. None of the above. Which of the following runs on each node and ensures containers are running in a pod? Kubectl deploy. Kubectl expose. Present volume claim. Persistent volume claim. Persistent volume class. Namespaces are used for dividing cluster resources between multiple users? Which of the following forms the core Kubernetes objects? Which of them is a Kubernetes Controller? Rolling update. What is the default range of ports used to expose a NodePort service? Personalised feedback report with solutions. Real life Interview Questions. Identify exact topics to improve. Attend Free Class. Got suggestions? We would love to hear your feedback. Your feedback is important to help us improve. Close Submit Feedback. Unlock the complete InterviewBit experience for free. Sign Up Using. Or use email. Free Mock Assessment Powered By. Fill up the details for personalised experience. Phone Number. Please verify your phone number. By clicking on Start Test, I agree to be contacted by Scaler in the future. Already have an account? Log in. Powered By. Instructions from Interviewbit. Start Test. There are two types of Nodes, Master node is a physical or virtual server that is used to control the Kubernetes cluster. It controls plane components to provide access points for admins to manage the cluster workloads. It can be viewed as an abstraction that serves as a proxy for a group of Pods performing a "service". To run command in first Pod and first container in Deployment single- or multi-container cases.

[antoniohostinger]

Aula 03 - Kubernates - Arquitetura de Alto Nível

Olá amigos do Tumblr,

Tenho o prazer de anunciar que a Aula 03 do nosso Tutorial de Kubernetes já está no ar! 

Nesta etapa, vamos nos aprofundar na empolgante Arquitetura de Alto Nível do Kubernetes e desvendar os segredos por trás da orquestração de aplicativos em contêineres.

Se você está ansioso para expandir seus conhecimentos em Kubernetes e compreender como cada peça do quebra-cabeça se encaixa para criar ambientes escaláveis e resilientes, não perca esta oportunidade!

Assista à aula aqui: https://www.codigofluente.com.br/aula-03-kubernates-arquitetura-de-alto-nivel/

🔥 Alguns dos tópicos que exploramos incluem:

O papel essencial do Kubelet no controle dos nós do cluster.

Como os Pods organizam e executam seus contêineres.

A importância do ReplicaSet na replicação de Pods.

Deployment e sua influência na disponibilidade de aplicações.

Descubra os serviços NodePort, ClusterIP e LoadBalancer.

Esta é a hora de elevar suas habilidades em Kubernetes e se destacar na orquestração de contêineres. O conhecimento é a chave para enfrentar os desafios tecnológicos de hoje!

Assista agora: https://www.codigofluente.com.br/aula-03-kubernates-arquitetura-de-alto-nivel/

Compartilhe essa jornada emocionante com seus amigos e colegas interessados em desenvolvimento e orquestração de contêineres. Juntos, podemos aprender mais e alcançar novas conquistas!

#Kubernetes #DevOps #Containerization #TechLearning #K8sTutorial #CodeFluente #CloudNative #OpenSource #TechEducation #KubernetesJourney #TechExploration #LearnWithPassion #KubernetesArchitects

Vamos continuar nossa busca pelo conhecimento. 

Espero encontrá-los na aula!

Toti Cavalcanti