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Continuous Integration and Continuous Deployment (CI/CD) are essential for maintaining agility and efficiency. By automating the integration, testing, and deployment processes, CI/CD pipelines minimize manual errors and accelerate the release cycle.
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13 𝐦𝐨𝐬𝐭 𝐜𝐨𝐦𝐦𝐨𝐧𝐥𝐲 𝐮𝐬𝐞𝐝 𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 🎯
Here are 13 of the most commonly used kubectl commands for managing a real production Kubernetes environment, along with explanations and common use cases:
✅ 𝐂𝐨𝐫𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭
#1 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐠𝐞𝐭
→
→
→
→
#2 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞
→
→
#3 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐜𝐫𝐞𝐚𝐭𝐞
→ kubectl create -f my-deployment.yaml
#4 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐚𝐩𝐩𝐥𝐲
→
#5 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐥𝐞𝐭𝐞
→
→
✅ Debugging and Troubleshooting
#6 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐥𝐨𝐠𝐬
→
→
#7 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐞𝐜
→
#8 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐩𝐨𝐫𝐭-𝐟𝐨𝐫𝐰𝐚𝐫𝐝
→
#9 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐭𝐨𝐩
→
→
#10 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐩𝐥𝐚𝐢𝐧
→
→
✅ Managing Workloads
#11 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐫𝐨𝐥𝐥𝐨𝐮𝐭
→
→
#12 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐬𝐜𝐚𝐥𝐞
→
#13 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐝𝐢𝐭
→
🔰 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Here are 13 of the most commonly used kubectl commands for managing a real production Kubernetes environment, along with explanations and common use cases:
#1 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐠𝐞𝐭
→
kubectl get pods (list pods)→
kubectl get deployments (list deployments)→
kubectl get services (list services)→
kubectl get all (list most resources in a namespace)#2 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞
→
kubectl describe pod my-pod→
kubectl describe node my-node#3 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐜𝐫𝐞𝐚𝐭𝐞
→ kubectl create -f my-deployment.yaml
#4 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐚𝐩𝐩𝐥𝐲
→
kubectl apply -f my-deployment.yaml (apply a deployment definition)#5 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐥𝐞𝐭𝐞
→
kubectl delete pod my-pod→
kubectl delete service my-service#6 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐥𝐨𝐠𝐬
→
kubectl logs my-pod→
kubectl logs my-pod -c my-container (specify a container)#7 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐞𝐜
→
kubectl exec -it my-pod -- bash (interactive shell)#8 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐩𝐨𝐫𝐭-𝐟𝐨𝐫𝐰𝐚𝐫𝐝
→
kubectl port-forward my-pod 8080:80#9 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐭𝐨𝐩
→
kubectl top pod (pod resource usage) →
kubectl top node (node resource usage)#10 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐩𝐥𝐚𝐢𝐧
→
kubectl explain pod →
kubectl explain pod.spec (more specific)#11 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐫𝐨𝐥𝐥𝐨𝐮𝐭
→
kubectl rollout status deployment/my-deployment →
kubectl rollout undo deployment/my-deployment
#12 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐬𝐜𝐚𝐥𝐞
→
kubectl scale deployment/my-deployment --replicas=5#13 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐝𝐢𝐭
→
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Development → Pre-PROD → Production
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Cloud Community By ProDevOpsGuy Tech
🌟 100 Azure Cloud Interview Questions and Answers (Beginners to Advanced) 🌟
Beginner Level 🌱
1. What is Microsoft Azure? ☁️
Answer: Microsoft Azure is a cloud computing platform and service created by Microsoft. It provides a range of cloud services, including those for computing, analytics, storage, and networking.
2. What...
1. What is Microsoft Azure? ☁️
Answer: Microsoft Azure is a cloud computing platform and service created by Microsoft. It provides a range of cloud services, including those for computing, analytics, storage, and networking.
2. What...
Follow
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1. Automated Deployment Pipeline:
- Learn to set up CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
- Automate testing, integration, and deployment processes.
2. Containerized Applications with Docker:
- Containerize a web application using Docker.
- Deploy multi-container applications with Docker Compose.
3. Infrastructure as Code (IaC):
- Use Terraform or AWS CloudFormation to manage and provision cloud infrastructure.
- Practice writing modular and reusable code.
4. Kubernetes Cluster Setup:
- Set up a Kubernetes cluster from scratch.
- Deploy and manage applications in a Kubernetes environment.
5. Monitoring and Logging:
- Implement monitoring using Prometheus and Grafana.
- Set up centralized logging with ELK Stack (Elasticsearch, Logstash, Kibana).
6. Configuration Management:
- Use Ansible or Puppet to automate configuration management tasks.
- Write playbooks/manifests to manage server configurations.
7. Version Control and Collaboration:
- Contribute to open-source projects on GitHub.
- Learn best practices for branching, merging, and pull requests.
8. Cloud Services Deployment:
- Deploy and manage applications on AWS, Azure, or Google Cloud.
- Get hands-on experience with services like EC2, S3, RDS, and Lambda.
- Document your projects on GitHub with detailed README files.
- Write blogs or create videos to explain your projects.
- Network with other DevOps enthusiasts and professionals.
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DevOps engineers are IT professionals who play a crucial role in modern software development. They work like bridge builders, connecting the worlds of development and operations to create a smooth and efficient software delivery process. Here's a glimpse into what they do:
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Photo
1. Morning Standup Meeting:
- Participate in a daily scrum meeting to discuss progress, blockers, and plans for the day.
2. Code Review and Integration:
- Review code changes submitted by developers.
- Ensure seamless integration by merging code into the main branch.
3. CI/CD Pipeline Management:
- Monitor and manage Continuous Integration/Continuous Deployment pipelines.
- Fix any issues that arise in automated build and deployment processes.
4. Infrastructure as Code (IaC):
- Write and update scripts using tools like Terraform or CloudFormation.
- Provision and configure cloud resources programmatically.
5. Container Management:
- Build, test, and deploy Docker containers.
- Manage Kubernetes clusters for container orchestration.
6. Monitoring and Incident Response:
- Use tools like Prometheus and Grafana for system monitoring.
- Respond to alerts and troubleshoot issues to maintain system uptime.
7. Configuration Management:
- Automate configuration tasks with Ansible, Chef, or Puppet.
- Ensure consistency across development, testing, and production environments.
8. Collaboration and Communication:
- Work closely with developers, QA, and operations teams.
- Communicate effectively to resolve issues and implement new features.
9. Continuous Improvement:
- Analyze system performance and identify areas for improvement.
- Implement best practices for security, scalability, and efficiency.
10. Learning and Development:
- Stay updated with the latest tools, technologies, and industry trends.
- Participate in training sessions and attend webinars/conferences.
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www.prodevopsguy.xyz
How to Deploy a JavaScript Tetris-Game-App on Azure CICD Pipeline and App Service | ProDevOpsGuy Tech
In this project, we will attempt to deploy a JavaScript based game app. At the end of this project we should be able to play the actual game and be able to understand the steps needed in deploying similar apps in production.
https://prodevopsguy.xyz/posts/how-to-deploy-a-javascript-tetris-game-app-on-azure-cicd-pipeline-and-app-service/
⚡️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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In the vast universe of Kubernetes, services play a pivotal role in how applications are exposed to the outside world. Understanding the differences between ClusterIP, LoadBalancer, and NodePort can be key to mastering your Kubernetes deployment strategy.
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Whether you're a seasoned professional or just starting out, mastering DevOps principles and tools is essential for driving efficiency, reliability, and innovation in your projects.
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While CICD gets thrown around a lot, it actually refers to two separate practices that work together in the software development lifecycle: Continuous Integration (CI) and Continuous Delivery/Deployment (CD).
Here's a quick breakdown:
Here's the key difference:
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-
docker --version: Check Docker version.-
docker info: Get system-wide information.-
docker help: Get help with Docker commands.-
docker run [OPTIONS] IMAGE [COMMAND] [ARG...]: Run a container.-
docker ps: List running containers.-
docker ps -a: List all containers.-
docker stop CONTAINER: Stop a running container.-
docker start CONTAINER: Start a stopped container.-
docker restart CONTAINER: Restart a container.-
docker rm CONTAINER: Remove a container.-
docker kill CONTAINER: Kill a running container.-
docker images: List images.-
docker pull IMAGE: Pull an image from a registry.-
docker build -t TAG .: Build an image from a Dockerfile.-
docker rmi IMAGE: Remove an image.-
docker network ls: List networks.-
docker network create NETWORK: Create a network.-
docker network connect NETWORK CONTAINER: Connect a container to a network.-
docker network disconnect NETWORK CONTAINER: Disconnect a container from a network.-
docker volume ls: List volumes.-
docker volume create VOLUME: Create a volume.-
docker volume rm VOLUME: Remove a volume.-
docker-compose up: Start services defined in a Compose file.-
docker-compose down: Stop services defined in a Compose file.-
docker-compose build: Build or rebuild services.-
docker-compose logs: View output from services.-
docker inspect CONTAINER/IMAGE: Display detailed information.-
docker logs CONTAINER: Fetch the logs of a container.-
docker exec -it CONTAINER bash: Access a running container.Stay efficient and automate smartly!
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An open-source automation server that supports building, deploying, and automating projects. Highly extensible with thousands of plugins!
Seamlessly integrated with GitLab, providing powerful continuous integration, delivery, and deployment features. Great for end-to-end DevOps lifecycle management.
Offers high-performance builds with intelligent caching, parallelism, and a user-friendly interface. Supports many languages and integrates with popular tools.
A cloud-based CI/CD service that is easy to set up with GitHub. Ideal for open-source projects with free plans available.
Developed by Atlassian, it integrates well with JIRA and Bitbucket. Provides robust build, test, and deployment capabilities.
A powerful CI server by JetBrains that supports many environments and offers extensive customization through plugins.
Part of Azure DevOps, it provides CI/CD pipelines for any language, platform, or cloud. Highly scalable and integrates with numerous services.
A fully managed continuous delivery service that helps automate your release pipelines for fast and reliable application and infrastructure updates.
A modern CI/CD platform built on containers, making it highly scalable and efficient. Supports GitHub, GitLab, Bitbucket, and more.
Designed for simplicity and scalability, it uses pipelines as the core abstraction for organizing the workflow, providing clear and visual feedback.
🔥 Ready to supercharge your DevOps workflow? Choose the right CI/CD tool that fits your project needs and watch your productivity soar!💡
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Lesson 1
Lesson 2
Lesson 3
Lesson 4
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- All Git/GitHub Content with use cases
- Git Realtime scenarios
- All Git/GitHub Exercises with solutions
- No More Git PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Git/GitHub Branching Strategies for DevOps guy
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Docker 🐬 & Containers All End-to-End Content 2024 ❤️
⚡️ This Includes:
- All Docker-Containers Content
- Docker Realtime scenarios
- All Docker Exercises with solutions
- No More Docker PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Docker file examples for DevOps Engineer
📱 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/containers
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
- All Docker-Containers Content
- Docker Realtime scenarios
- All Docker Exercises with solutions
- No More Docker PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Docker file examples for DevOps Engineer
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- All Kubernetes Content
- Kubernetes Realtime scenarios
- All Kubernetes Exercises with solutions
- No More AWS PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Kubernetes Tricks & Techniques for DevOps guy
- Added Certified Kubernetes Administrator (CKA) Notes
- All Kubernetes Realtime examples included
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