🐬 Excited to share my insights on Docker and system design! 👩‍🚀

Have you ever wondered how Docker works behind the scenes? Let's dive into its architecture to uncover the magic!

🔹 Docker Client: Imagine this as your gateway to the Docker world. It's like having a personal assistant who takes your commands and communicates them to the next key player.

🔹 Docker Host: This is where the real action happens. The Docker daemon, like a master chef, manages everything from images (the recipes) to containers (the dishes) with precision.

🔹 Docker Registry: Think of this as your recipe book library. Docker Registry stores all the images, just like Docker Hub, where you can find a plethora of ready-to-use images.

Understanding Docker's architecture is crucial for anyone diving into system design or coding. It's like having a superpower to efficiently manage and deploy your applications!

😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🚀 Top Docker Errors and Their Fixes for DevOps Engineers 🛠

Encountering Docker errors can be frustrating, but fear not! Here are some common Docker errors and their quick fixes to help you keep your containers running smoothly. 🐳

1. Cannot Connect to the Docker Daemon

Error:

Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?

Fix:
- Ensure Docker service is running: sudo systemctl start docker
- Add your user to the Docker group: sudo usermod -aG docker $USER and then restart your terminal or log out and back in.


2. Image Pull Failed

Error:

Error response from daemon: pull access denied for [image], repository does not exist or may require 'docker login'

Fix:
- Verify the image name and tag are correct.
- Log in to Docker Hub if the image is private: docker login


3. Container Exits Immediately

Error:

Exited (0) or Exited (1)

Fix:
- Check the container logs: docker logs [container_id]
- Ensure the command in your Dockerfile or docker run command is correct and doesn’t immediately exit.


4. Port Already in Use

Error:

Error starting userland proxy: listen tcp 0.0.0.0:[port]: bind: address already in use

Fix:
- Find the process using the port: sudo lsof -i :[port]
- Stop the process or use a different port in your Docker command.


5. No Space Left on Device

Error:

no space left on device

Fix:
- Remove unused containers, images, and volumes: docker system prune -a --volumes
- Ensure you have enough disk space on your Docker host.


6. Build Fails Due to Missing Files

Error:

COPY failed: file not found in build context or excluded by .dockerignore: stat [file]: file does not exist

Fix:
- Verify the path in your Dockerfile and ensure the file exists in the build context.
- Check your .dockerignore to ensure necessary files are not being ignored.


7. Permission Denied Errors

Error:

permission denied while trying to connect to the Docker daemon socket

Fix:
- Use sudo if you're not in the Docker group: sudo docker [command]
- Add your user to the Docker group: sudo usermod -aG docker $USER and then restart your terminal or log out and back in.


Keep these handy tips in your toolbox, and Docker errors won’t slow you down! Happy containerizing! 🐳✨


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🆕 Master Your Next AWS DevOps Interview! 🛠


🖥 Read the full article here: https://dev.to/prodevopsguytech/100-aws-devops-interview-questions-and-answers-3g1i

I've just published an in-depth guide featuring 100 AWS DevOps Interview Questions and Answers. Whether you're prepping for an interview or want to sharpen your cloud and DevOps knowledge, this is a must-read!

💡 Topics Covered:
✅ AWS CI/CD Pipelines
✅ ECS, EKS & Containerization
✅ Auto Scaling, Lambda, & Beanstalk
✅ IAM & Security Best Practices
…and much more!

Don't miss out! 🔥


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

If you're a beginner looking to gain hands-on experience with DevOps, here are some real-time project ideas that you can explore:

1⃣. Create a Simple Web Server:
Build a basic HTTP server that responds to client requests (such as web browsers) by serving HTML pages or JSON from an API. This project will help you understand how web servers work and how to handle HTTP requests and responses[1].


2⃣. Improve Jenkins Remoting:
Jenkins is a popular automation server used for continuous integration and continuous delivery (CI/CD). Enhance Jenkins by exploring its remoting capabilities, understanding how agents communicate with the master, and optimizing the communication process.


3⃣. Create Default Base Images with Docker:
Docker allows you to create lightweight, portable containers. Practice creating custom base images that include essential tools and dependencies. These images can serve as a foundation for your future projects.


4⃣. Learn Git Branching and Source Code Management:
Git is crucial for version control and collaboration. Set up a Git repository, create branches, merge changes, and manage your codebase effectively. Understanding Git workflows is essential for any DevOps engineer.


5⃣. Containerization of a Java Project using Docker:
Containerize a Java application using Docker. Learn how to write a Dockerfile, build an image, and run containers. This project will give you practical experience with container orchestration and deployment[1].


Remember that these projects are designed for beginners, so feel free to explore and experiment. As you gain confidence, you can move on to more complex projects. Happy coding! 😊 🚀

➡️Reference links: [1] [2] [3] [4]


❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔥 PROVISION EKS (Amazon Elastic Kubernetes Service) CLUSTER ON AWS USING TERRAFORM 🔥

➡️ In This guide we clearly explained with screenshots and commands how to do it.

🔗 Link: https://github.com/NotHarshhaa/AWS-EKS_Terraform

This provides a comprehensive guide on provisioning an Amazon Elastic Kubernetes Service (EKS) cluster on AWS using Terraform.

☄️ Go check it guys and share with your Friends & Colleagues🔥

#Terraform #AWS #eks #awsdevops


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

8 FREE💲Udemy Docker Courses from Beginner to Professional 🚀

➡️ Beginners

🔵 Docker for the Absolute Beginner
➡️ https://lnkd.in/eSDNg-Xv

🟡 Docker Tutorial for Beginners practical hands on -Devops
➡️ https://lnkd.in/eTGeQ_dW

🩷 Docker Essentials
➡️ https://lnkd.in/edTFpFxY

🔴 Docker Before Compose - Learn Docker by Example
➡️ https://lnkd.in/eq3_w-7N

🟤 Learn Docker Quickly: A Hands-on approach to learning docker
➡️ https://lnkd.in/ededr6U2


➡️ Professional

🟢 Are You a PRO Series - Docker & Swarm Real Challenges
➡️ https://lnkd.in/em48h_qK

🔵 Docker Swarm Courses
➡️ https://lnkd.in/emr6AaK8

🔴 Building Application Ecosystem with Docker Compose
➡️ https://lnkd.in/eaa43R2f


📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

▶️ Getting into DevOps can be 100% free and 100% project-based: Part 2


7 real-world DevOps projects that can help your resume

🔢. Building a RESTful API with Flask and PostgreSQL
⚡️ https://lnkd.in/gwZBHjvj

🔢. Python Automation That Saved Our Client $1000/Month On Cloud Bills
⚡️ https://lnkd.in/gR7Rg2JZ

🔢. Automatically update AWS Lambda Runtime With Python
⚡️ https://lnkd.in/g7wTKUPw

🔢. Automate AWS SQS Encryption with Python And Boto3
⚡️ https://lnkd.in/gmDzsjcw

🔢. Automate the Lambda Layer management with Terraform and Github Action
⚡️ https://lnkd.in/gW8ZrAhm

🔢. A Complete Guide To Serverless On AWS With Lambda
⚡️ https://lnkd.in/gdPEyGRB

🔢. Deploying a 3-tier production application on AWS ECS
⚡️ https://lnkd.in/gkSbmfya


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 Learn AWS DevOps from Zero! 🚀


🖥 Check it out here and kickstart your AWS DevOps journey: https://dev.to/prodevopsguytech/learn-aws-devops-from-zero-a-complete-beginners-guide-1gl2

Are you ready to start your journey into AWS DevOps? Whether you're a beginner or looking to strengthen your DevOps skills, this guide has you covered! 🌐

🔸 What’s Inside?
- Core DevOps principles
- Step-by-step setup on AWS
- Comprehensive breakdown of essential AWS tools (CodeCommit, CodeBuild, CodeDeploy, CodePipeline)
- CI/CD, IaC, security best practices, and more!


📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Basic 📱 Git Flow in DevOps ♾ CI-CD!

1️⃣. Developer Creates Feature Branch: The developer creates a new feature branch and is used to work on a new feature or a specific task.

2️⃣. Developer Writes Code: The developer writes the necessary code for the feature in their local development environment.

3️⃣. Developer Commits Changes: Once the developer is satisfied with the changes, they commit the changes to the feature branch in the local Git repository.

4️⃣. Developer Creates Pull Request: The developer pushes the committed changes by creating a pull request to merge the feature branch into the main branch.

5️⃣. Code Review by Team: The pull request initiates a code review process where team members review the changes.

6️⃣. Approval of Pull Request: After addressing any feedback and making necessary adjustments, the pull request is approved by the reviewers.

7️⃣. Merge to Main Branch: The approved pull request is merged into the main branch of the Git repository.

8️⃣. Triggers CI/CD Pipeline: This automation ensures that the changes are continuously integrated and deployed.

9️⃣. Then we follow the procedure for building and testing the code, deploying to staging env. Once the tests in the staging environment pass, a manual approval is required to deploy the changes to the production environment. Once the code is deployed to production env, the prod env is monitored using Prometheus to track the performance and health of the application. The collected metrics are visualized using Grafana. Finally alerts are configured.


❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

☁️ AWS Cloud All End-to-End Content 2024 ⚡️


➡️ This Includes:
- All AWS Content
- AWS Realtime scenarios
- All AWS Exercises with solutions
- No More AWS PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All AWS services for DevOps Engineer

🖥 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/aws

📱 Follow me on GitHub : https://www.github.com/NotHarshhaa


📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

😀😀 10 DevOps Real time Scenarios. 😀😀
🚀 Issues as well as their resolutions: 🚀

🔢. Continuous Integration Pipeline Failure and its Resolution.
🔗 https://lnkd.in/g9nBb79u

🔢. Application experiences performance degradation and becomes slow during high-traffic periods and its resolution.
🔗 https://lnkd.in/g9nBb79u

🔢. Deployments are error-prone and inconsistent across different environments and its resolution.
🔗 https://lnkd.in/gE6FYcBz

🔢. The application goes down in production due to an unforeseen issue and its resolution.
🔗 https://lnkd.in/gE6FYcBz

🔢. A security vulnerability is discovered in a component of the application stack and its resolution.
🔗 https://lnkd.in/gPtZ9_Ge

🔢. Production environments start to deviate from their desired configurations over time and its resolution.
🔗 https://lnkd.in/gPtZ9_Ge

🔢. A critical service experiences an outage, impacting users and business operations and its resolution.
🔗 https://lnkd.in/gvTtGYC7

🔢. Communication breakdowns between development and operations teams lead to misunderstandings and delays and its resolution.
🔗 https://lnkd.in/gvTtGYC7

🔢. A major release causes unexpected issues in the production environment.
🔗 https://lnkd.in/gYbFKPrv

🔢🔢. Cloud resource costs are increasing beyond budgeted limits.
🔗 https://lnkd.in/gYbFKPrv


🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚀 DevOps Automation with Shell Scripting! 🚀


🖥 Dive into the full article here: https://dev.to/prodevopsguytech/devops-automation-with-shell-scripting-1p69

Looking to automate routine DevOps tasks and boost your efficiency? Shell scripting is an essential tool for every DevOps engineer. Check out this comprehensive guide to learn:

🔹 Key Concepts in Shell Scripting
🔹 Automation Use Cases like monitoring, deployments, backups, and log management
🔹 Advanced Techniques to enhance your scripts
🔹 Best Practices for reliability and readability


❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ How can you stand out as a DevOps Engineer?

⚡️Learn the skills that others avoid:

⚡️ Learn chaos engineering
- Break things purposely in production
- Implement resilience testing
- Master failure injection

⚡️ Learn advanced observability
- Go beyond basic monitoring
- Implement distributed tracing
- Master log correlation

⚡️ Learn GitOps workflows
- Implement declarative deployments
- Master reconciliation loops
- Build operator patterns

⚡️ Learn platform engineering
- Create internal developer platforms
- Build self-service capabilities
- Automate everything

⚡️ Learn cost optimization
- Master FinOps practices
- Implement spot instance strategies
- Optimize resource usage

⚡️ Learn advanced Kubernetes
- Custom controller development
- Operator patterns
- Multi-cluster management

⚡️ Learn infrastructure testing
- Infrastructure unit tests
- Integration testing for IaC
- Compliance as Code

⚡️Most fall short here.

⚡️What else would you add?
- SRE practices (SLOs, error budgets)
- Advanced security scanning
- Custom tooling development
- API gateway patterns
- Service mesh implementation
- Advanced metrics collection
- Automated documentation
- Disaster recovery automation
- Performance engineering
- Backup/restore strategies

The key is focusing on the complex areas others avoid.
Anyone can learn basic CI/CD, but mastering advanced patterns sets you apart.

📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 Ansible Commands Every DevOps Engineer Should Know 🚀


Ansible is a powerful tool for automation and configuration management. Here's a handy list of essential Ansible commands that will boost your productivity:

1. Check Ansible Version

   ansible --version
   

2. Ping All Hosts

   ansible all -m ping
   

3. Run a Command on All Hosts

   ansible all -a "uptime"
   

4. Use a Specific Inventory File

   ansible all -i /path/to/inventory -m ping
   

5. Run a Playbook

   ansible-playbook playbook.yml
   

6. Check Syntax of a Playbook

   ansible-playbook playbook.yml --syntax-check
   

7. List Hosts in Inventory

   ansible-inventory --list -i /path/to/inventory
   

8. Test a Playbook with Dry Run

   ansible-playbook playbook.yml --check
   

9. Encrypt a File with Ansible Vault

   ansible-vault encrypt filename.yml
   

10. Decrypt a File with Ansible Vault

    ansible-vault decrypt filename.yml
    

11. View Encrypted File with Ansible Vault

    ansible-vault view filename.yml
    

12. Edit an Encrypted File with Ansible Vault

    ansible-vault edit filename.yml
    

13. Create a New Vault Password File

    ansible-vault create vault-password-file
    

14. Run a Playbook with a Vault Password File

    ansible-playbook playbook.yml --vault-password-file /path/to/vault-password-file
    

15. Gather Facts About Hosts

    ansible all -m setup
    

16. Display All Modules

    ansible-doc -l
    

17. Get Documentation for a Specific Module

    ansible-doc <module_name>
    

18. Check the Status of a Service

    ansible all -m service -a "name=httpd state=started"
    

19. Copy a File to Hosts

    ansible all -m copy -a "src=/path/to/source dest=/path/to/destination"
    

20. Run a Task as a Different User

    ansible all -m command -a "ls -alh /home/user" -u username
    

Stay efficient and keep automating! 🛠✨


🎄 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 DevOps Project - 31 🚀


🔗 Project Link: HERE

⏩ Building Scalable, Secure, and High-Performance Web Applications with AWS 3-Tier Architecture! 📈

In this project, I dive into setting up a robust 3-tier architecture on AWS designed to boost scalability, ensure high security, and optimize performance for modern web applications.

🛠 Project Highlights:
➡️ AWS VPC, Subnets, Security Groups for enhanced security
➡️ Auto Scaling and Load Balancing for scalability
➡️ Optimized performance with caching and database optimizations


❤️‍🔥 Share with friends and learning aspirants ❤️‍🔥

📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week releases new Project.

📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚨 kubectl Command: Behind the scenes!

When you perform kubectl apply, Kubernetes executes a series of steps to manage the desired state of the resources defined in the provided configuration files. Here’s on what happens:

1️⃣. User issues the kubectl apply -f request.

2️⃣. The kubectl tool sends an API request to the Kubernetes API server to create or update the resource.

3️⃣. The server validates the user’s request. If all looks good, the server will write the new or modified resource into etcd.

4️⃣. The kube-controller-manager is a daemon that continually watches the kube-apiserver.

5️⃣. It will be notified of the new deployment and proceeds to create new pods to achieve the desired state through another call to the kube-apiserver.

6️⃣. Then we have kube-scheduler which is responsible for scheduling Kubernetes pods on worker nodes.

7️⃣. The kube-scheduler is then notified about the new pods that have been created and proceeds to determine which nodes are valid placements for the same. The scheduler’s primary task is to identify the create request and choose the best node for a pod that satisfies the requirements.

8️⃣. Finally, Kubelet is an agent component that runs on every node in the cluster that gets notified if a pod has been assigned to it. The assigned node then coordinates with the container runtime on the node to start the appropriate containers.


❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs