DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

⚡️Jenkins Tutorial For Beginners: 21+ Practical Guides https://lnkd.in/deezunqE ⚡️Jenkins Architecture Explained - Beginners Guide https://lnkd.in/dcE49EXw ⚡️How To Setup Highly Available Jenkins https://lnkd.in/dTbnsg6s 🔠 Jenkins Administration Tutorials ⚡️Install Jenkins on Ubuntu in 10 Easy Steps https://lnkd.in/dUDGXc34 ⚡️How to Setup Jenkins Agent Using SSH [Password & SSH Key] https://lnkd.in/d4iKkjs7 ⚡️How to Configure SSL on Jenkins Server https://lnkd.in/d9UpFgiR ⚡️How To Run Jenkins on Port 80: 4 Different Methods Explained https://lnkd.in/dpexCUub ⚡️How To Backup Jenkins Data and Configurations https://lnkd.in/dePTnDGX ⚡️How to Setup Custom UI Theme For Jenkins https://lnkd.in/dxdqcjWJ ⚡️Jenkins Setup Using AWS Autoscaling Group, Load Balancer & EFS https://lnkd.in/dizsnNjZ 🔠 Jenkins Pipeline Tutorials ⚡️Jenkins Pipeline Tutorial For Beginners https://lnkd.in/dryfkdVy ⚡️Jenkins Shared Library Tutorial For Beginners https://lnkd.in/dsAgwHFp ⚡️How to Use Parameters in Jenkins Declarative Pipeline https://lnkd.in/d3UgPxRA 🔠 Jenkins CI/CD Tutorials ⚡️Java Continuous Integration with Jenkins - Beginners Guide https://lnkd.in/d9Eujsp6 ⚡️Jenkins Automated Build Trigger On Github Pull Request https://lnkd.in/dFkNt3gm ⚡️How To Build Docker Image In Kubernetes Pod https://lnkd.in/dfxkmf_v ⚡️How to Setup Jenkins Email Notification (Detailed Guide) https://lnkd.in/dUbxPqvb 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ 10 hands-on projects to gain practical experience with core AWS services and architectural best practices 1. Create a Static Website Using Amazon S3 🔗https://lnkd.in/ggz9MBGD 2. Launch and Configure an EC2 Instance 🔗https://lnkd.in/g5dxUwsW 3. Set Up an Application Load Balancer 🔗https://lnkd.in/grzxzCds 4. Implement Auto Scaling 🔗https://lnkd.in/gi9KS-2N 5. Create a VPC with Public and Private Subnets 🔗https://lnkd.in/gMzSY9VE 6. Set Up an Amazon RDS Database 🔗https://lnkd.in/gnAd-pN9 7. Implement an S3 Lifecycle Policy 🔗https://lnkd.in/ghQpFTcp 8. Set Up CloudFront Distribution 🔗https://lnkd.in/gxv6p27R 9. Implement IAM Roles and Policies 🔗https://lnkd.in/gY8dZMbi 10. Set Up a Simple Serverless Application 🔗https://lnkd.in/ggqBu-Vj

Some resources will incur costs so make sure you manage that and terminate when you conclude your work.

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

🐳 Docker Commands for DevOps Engineers 🚀 Here’s a comprehensive list of essential Docker commands to make your container management smooth and efficient. Save this post for quick reference! 📌 🔹 Docker Basics:

# Check Docker version
docker --version

# Display Docker system information
docker info

# List all Docker commands
docker --help

🔹 Images:

# List all images
docker images

# Search for an image on Docker Hub
docker search <image-name>

# Pull an image from Docker Hub
docker pull <image-name>

# Build an image from a Dockerfile
docker build -t <image-name>:<tag> .

# Remove an image
docker rmi <image-id>

🔹 Containers:

# List all running containers
docker ps

# List all containers (including stopped ones)
docker ps -a

# Start a container
docker start <container-id>

# Stop a container
docker stop <container-id>

# Restart a container
docker restart <container-id>

# Remove a container
docker rm <container-id>

# Run a container
docker run -d --name <container-name> <image-name>

# Run a container with a specific port mapping
docker run -d -p <host-port>:<container-port> <image-name>

# Run a container with a volume
docker run -d -v <host-dir>:<container-dir> <image-name>

# Attach to a running container
docker attach <container-id>

🔹 Container Inspection & Logs:

# View logs of a container
docker logs <container-id>

# Follow logs of a container
docker logs -f <container-id>

# Inspect a container
docker inspect <container-id>

# View resource usage statistics of a container
docker stats <container-id>

🔹 Networks:

# List all networks
docker network ls

# Create a network
docker network create <network-name>

# Connect a container to a network
docker network connect <network-name> <container-id>

# Disconnect a container from a network
docker network disconnect <network-name> <container-id>

# Inspect a network
docker network inspect <network-name>

# Remove a network
docker network rm <network-name>

🔹 Volumes:

# List all volumes
docker volume ls

# Create a volume
docker volume create <volume-name>

# Inspect a volume
docker volume inspect <volume-name>

# Remove a volume
docker volume rm <volume-name>

🔹 Docker Compose:

# Start services defined in docker-compose.yml
docker-compose up

# Start services in detached mode
docker-compose up -d

# Stop services
docker-compose down

# View running services
docker-compose ps

# Build or rebuild services
docker-compose build

# View logs of services
docker-compose logs

🔹 Docker Cleanup:

# Remove all stopped containers
docker container prune

# Remove all unused images
docker image prune

# Remove all unused volumes
docker volume prune

# Remove all unused networks
docker network prune

Keep this list handy and make container management a breeze! Happy Dockering! 🎉 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

☄️ 𝗕𝗲𝘀𝘁 𝐘𝐨𝐮𝐭𝐮𝐛𝐞 📱 𝐜𝐡𝐚𝐧𝐧𝐞𝐥𝐬 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗲𝘃𝗢𝗽𝘀 ♾ 🌐 LogicOps Lab by Ravish Rawat ( Real time Interview's ) 🔗 https://lnkd.in/g3rtbjHb 🌐 Real time projects @mr.cloudbook 🔗 https://lnkd.in/gWWqHnJx 🌐 Train With Shubham by Shubham Londhe 🔗 https://lnkd.in/g9SwADkB 🌐 Tech Tutorials with Piyush by Piyush sachdeva (Azure and GCP cloud) 🔗 https://lnkd.in/g4iWpScc 🌐 TechWorld With Nana by Nana Janashia 🔗 https://lnkd.in/g7iFKKb9 🌐 KodeKloud by Mumshad Mannambeth 🔗 https://lnkd.in/g2jdc__p 🌐 Stéphane Maarek 🔗 https://lnkd.in/gzSbeKFt 🌐 Technical Guftgu by Bhupinder Rajput l भूपिंदर राजपूत l بھوپندر راجپوت In Hindi 🔗 https://lnkd.in/g8FYMCAS 🌐 Cloud Advocate by Krishna Chaitanya Gadhiraju (GK) 🔗 https://lnkd.in/giNb536Y 🌐 Abhishek Veeramalla 🔗 https://lnkd.in/gMfRacqy 🌐 Cloud Champ by Nasiullha Chaudhari 🔗 https://lnkd.in/gYUQ4r5x 🌐 Praveen Singampalli 🔗 https://lnkd.in/gVAeX8dZ 🔵 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 Terraform EKS Deployment - Major Update! 🛠 We've made significant improvements to our Amazon EKS deployment using Terraform to enhance stability, security, and performance. 🔹 README.md updated for better clarity & guidance 📖 🔹 Provider, VPC, Subnets, Security Groups, IAM roles updated for optimized infrastructure setup ⚡️ 🔹 EKS cluster & node group configurations improved for better scalability & management 🏗 Check it out & don’t forget to ⭐️ the repo! ☁️ GitHub Repo: https://github.com/NotHarshhaa/AWS-EKS_Terraform #Terraform #AWS #EKS #DevOps #InfrastructureAsCode 🚀

🖥 25 Blogs to Learn 25 DevOps Concepts: 1) Terraform Project Structure: https://lnkd.in/gZtsrsFu 2) Terraform State: https://lnkd.in/gXSgXfjA 3) Terraform Graphs: https://lnkd.in/g_2ZpxzS 4) Terraform Dynamic Blocks: https://lnkd.in/g7za-55Z 5) Crossplane with ArgoCD: https://lnkd.in/gjwu6fQ7 6) GitOps Push vs. Pull Architecture: https://lnkd.in/g2wwjWfN 7) Multi Cloud GitOps Workflow: https://lnkd.in/gUGNMk2T 8) Kyverno with ArgoCD: https://lnkd.in/gBnEhnHr 9) Dockerfile vs. Docker Compose: https://lnkd.in/g-q_TQzY 10) Docker Image: https://lnkd.in/gFzjeCXu 11) Docket Cache: https://lnkd.in/gS_yPwHi 12) Docker stats: https://lnkd.in/gSpbkwjx 13) Docker Scout: https://lnkd.in/gM4-wdCV 14) GitHub Actions Workflow: https://lnkd.in/gY4eQtwS 15) GitHub Actions Optimization: https://lnkd.in/ggJPdZwK 16) GitHub Branching Strategy: https://lnkd.in/g544Tjcp 17) Ansible Architecture: https://lnkd.in/gJR27EuG 18) Ansible Roles: https://lnkd.in/guqPNz_f 19) Ansible Dynamic Inventory: https://lnkd.in/gu5_JBdB 20) Kubernetes Architecture: https://lnkd.in/gmRDrusm 21) POD Lifecycle: https://lnkd.in/g9cbpma4 22) pod.yaml Breakdown: https://lnkd.in/g7yhk_tS 23) VPC Network Segmentation: https://lnkd.in/grtAeerp 24) Lambda Integrations: https://lnkd.in/gcvhvXbr 25) Serverless Architecture: https://lnkd.in/gvFdB3dF 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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🚨 Terraform Directory Structure – The Right Way! 🚨 Are you managing your Terraform projects correctly? A well-structured Terraform directory ensures scalability, reusability, and efficient infrastructure management. Let’s dive into best practices! 1️⃣ Environments – Separate Configs for Dev, Staging & Prod Managing multiple environments? Here’s how to structure them: 📂 Development/ 📂 Staging/ 📂 Production/ Each contains: ✅ main.tf – Defines cloud resources. ✅ variables.tf – Declares variables without values. ✅ outputs.tf – Stores Terraform outputs for dependencies. ✅ terraform.tfvars – Provides values for variables. 🔹 Why? Isolates Dev, Staging, and Production setups. Avoids accidental production changes. Makes configurations modular & reusable. 2️⃣ Modules – Reusable Infrastructure Components Instead of repeating code, Terraform Modules help reuse configurations. 📌 VPC Module – Handles Virtual Private Cloud creation. 📌 EC2 Module – Manages EC2 instances efficiently. 🔹 Why? 🚀 Eliminates duplicate code – Define once, use everywhere! 🔄 Ensures consistency across environments. ⚙️ Faster deployment – Just call the module! 3️⃣ Scripts – Automate Terraform Workflows Automation is key in DevOps & IaC. These scripts help: ⚙️ init.sh – Initializes Terraform. 🛑 teardown.sh – Destroys infrastructure to save costs. 🔹 Why? Saves time by automating Terraform operations. Reduces manual errors while setting up infrastructure. 4️⃣ Core Terraform Files – The Brains of Your Infrastructure These files are the foundation of your Terraform project: ✅ provider.tf – Specifies the cloud provider (AWS, Azure, GCP). ✅ backend.tf – Defines state management (e.g., AWS S3, Terraform Cloud). 🔹 Why? Keeps Terraform state secure instead of local files. Prevents conflicts in team environments. 🔍 Why This Directory Structure Matters? ✅ Organized, modular, and scalable Terraform projects. ✅ Prevents accidental changes in production. ✅ Reusable infrastructure with Terraform Modules. ✅ Automated setup & cleanup with scripts. 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚨 Azure DevOps Scenario Based Interview Questions 🚨 1. In your current project, could you describe the overall architecture of your CI/CD pipeline that you have designed for cloud applications in Azure DevOps? 2. Can you explain how you handled the integration of infrastructure-as-code (IaC) into your Azure DevOps pipeline? Did you use tools like Azure Resource Manager templates, Terraform, or others to manage resources, and how did it integrate with your CI/CD pipeline? 3. How do you manage different deployment strategies like Blue-Green Deployment or Canary Releases using Azure DevOps and Azure Cloud? 4. In your project, how do you handle the automation of your build pipelines using Azure DevOps? 5. Can you provide examples of scripts or commands you’ve used in the release pipeline for deploying to multiple environments 6. You mentioned using GitHub Actions for CI/CD automation. Can you provide a practical example of a custom script you created using GitHub Actions for automated testing or build tasks? 7. In Azure DevOps, you can use Azure CLI or PowerShell commands to automate tasks. Can you give an example of how you utilized these tools in your CI/CD pipeline to interact with Azure resources, such as creating or updating Azure VMs, storage accounts, or App Services? 8. In the context of your deployment pipeline, can you explain how you wrote a script that triggers the deployment process after successful completion of build steps? How do you implement a rollback strategy if something goes wrong during deployment? 9. Tell me the deployment process of a web application to Azure App Services using Azure DevOps pipelines. What steps and commands do you include in the pipeline, from building the artifact to testing and deploying to production? 10. How did you implement continuous monitoring during the deployment process? Could you give an example of how you track deployments in real-time, and how do you handle failed deployments? 11. In your current project, how did you handle the containerization of applications using Docker? Can you walk us through the process of creating a Dockerfile for a web application and how you integrated it into your Azure DevOps pipeline? 12. Once you containerized an application, how did you manage the deployment to Azure Kubernetes Service (AKS)? What steps did you follow to push your Docker images to Azure Container Registry (ACR), and how did you create and deploy Kubernetes manifests (YAML)? 13. Let’s say during a deployment, your build pipeline has passed successfully, but the deployment to a pre-prod environment fails. What steps would you take to debug the issue, and which logs or commands would you check first in Azure DevOps? 14. In your CI/CD pipeline, how do you handle automated testing? Can you explain how you integrated unit tests, into your pipeline using Azure DevOps? ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

You're using Linux 🐧wrong! Most people dive into Linux without truly understanding its file system hierarchy, leading to confusion and inefficiency. Ever wondered why system files are scattered across /bin, /sbin, and /usr/bin? Or why logs are in /var/log instead of /log? Here’s a breakdown of the Linux File System Hierarchy to clear up the confusion: ╰ / - Root directory (everything starts here) ╰ /bin - Essential binaries (ls, cp, mv) ╰ /boot - Boot loader files (kernel, GRUB) ╰ /dev - Device files (USB, HDD, tty) ╰ /etc - Configuration files ╰ /home - User home directories ╰ /lib - Essential system libraries ╰ /media - Auto-mounted media (USB, CD) ╰ /mnt - Temporary mount point ╰ /opt - Third-party software packages ╰ /proc - Virtual filesystem for processes ╰ /root - Root user’s home directory ╰ /run - Runtime process data ╰ /sbin - System binaries (fsck, reboot) ╰ /srv - Server-specific data ╰ /sys - Kernel system information ╰ /tmp - Temporary files (cleared on reboot) ╰ /usr - User applications and tools ╰ /usr/bin - Non-essential user binaries ╰ /usr/lib - Libraries for /usr/bin ╰ /usr/local - Locally installed software ╰ /usr/share - Shared data (icons, docs) ╰ /var - Variable data (logs, cache, mail) ╰ /var/log - System logs ╰ /var/spool - Queued jobs (print, mail) Understanding this structure helps you - 🔠 Locate files efficiently 🔠 Troubleshoot system issues faster 🔠 Optimize performance & security 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

How does Docker 🐬work? 🔢. Docker Client: This is the interface where users interact with Docker using commands like: • Docker build: Creates a Docker image based on the configurations defined in a Dockerfile. • Docker push: Pushes the created image to a remote Docker registry for storage and sharing. • Docker pull: Pulls an image from the Docker registry to the local environment. • Docker run: Runs a container from an image on the Docker host. 🔢. Docker Host: • Contains the Docker Daemon (or Docker Engine), which manages Docker objects like images, containers, networks, and volumes. • It communicates with the Docker client to execute commands and manages the lifecycle of containers. 🔢. Containers and Images: • Images: Immutable templates (like MySQL, Redis, NGINX) that contain the application code, runtime, libraries, and dependencies. • Containers: Instances of images that run the application. Each container is an isolated environment where the application functions independently. 🔢. Docker Registry: • Stores images and allows them to be shared between different environments. • The Docker client can push and pull images to/from the registry, enabling distributed deployment of applications. 🔢. Workflow: • Build: The Docker client builds an image and stores it locally or in the registry. • Push: The built image can be pushed to a remote registry for easy access. • Pull: Images from the registry can be pulled to the local environment as needed. • Run: The Docker host runs containers from these images, creating isolated environments for each instance. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 Big Update in Learning-Prometheus Repo! 🚀 📱 Check out the repo: https://github.com/NotHarshhaa/Learning-Prometheus We’ve made significant improvements to the Learning-Prometheus repository to enhance clarity, readability, and best practices for Kubernetes monitoring. Here’s what’s new: 📖 Enhanced Documentation 🔹 Detailed explanations for key Kubernetes resources: - Deployment – Breakdown of API version, metadata, selectors, templates, and pod specifications. - Service – Clarified API version, labels, selectors, and port configurations. - ServiceMonitor – Improved description of job labeling, metric scraping, and Prometheus integration. - PrometheusRules – Clearer explanation of alerting rules, expressions, and severity levels. - AlertmanagerConfig – Better insights into alert routing, notification receivers, and email configurations. 📌 Now, understanding Kubernetes monitoring components is easier than ever! ⚙️ Updated Kubernetes YAML Manifests We’ve refined Kubernetes configurations to follow best practices and optimize performance: ✅ `AlertmanagerConfig.yaml` – Improved alerting rules, refined email configurations, and enhanced notification handling. ✅ `Deployment.yaml` – Optimized resource limits, added clear annotations for better pod management. ✅ `PrometheusRule.yaml` – Fine-tuned alerting expressions, adjusted severity levels for better alert prioritization. ✅ `Service-monitor.yaml` – Ensured accurate metric scraping paths, improved job labeling for Prometheus. ✅ `Service.yaml` – Enhanced label consistency, improved port naming conventions, and refined session affinity handling. 💡 Why these changes? These updates ensure better observability, more reliable alerting, and improved scalability of Prometheus monitoring in Kubernetes! 📢 Spread the word! 🚀 #Kubernetes #Prometheus #DevOps #Monitoring

🖥 If you're starting to build your expertise in Kubernetes here are 4 projects I'd recommend (for beginners and advanced learners both) 🔢. Build a Multi-tier Application on K8s (Beginner level) ↳ Deploy a 3-tier app (frontend, backend, database) ↳ Configure Ingress for external access. ↳ Implement service discovery via Kubernetes Services. ↳ Set up health checks via Kubernetes deployment definitions. ➡️Tutorial: https://lnkd.in/dqD8m4Ui Don't just highlight containers or tools. Show the full application lifecycle. 🔢. CI/CD Pipeline Explanation (Beginner level) ↳ Automate build, test, and deployment processes. ↳ Use Jenkins for CI and Argo CD for CD. ↳ Implement code quality checks with SonarQube. ↳ Utilize GitOps for managing application manifests. ➡️Tutorial: https://lnkd.in/dn6k_4pD Focus on automation patterns, not just the tools. Demonstrate end-to-end workflow thinking. 🔢. Kubeflow Pipeline Deployment and Execution (Advanced with ML components) ↳ Deploy a Kubeflow pipeline using the Kubeflow Pipelines UI. ↳ Execute a Kubeflow pipeline with pre-defined components. ↳ Monitor pipeline execution and view results. ↳ Understand basic Kubeflow pipeline concepts. ➡️Tutorial: https://lnkd.in/drCT9sWQ Show how ML workflows integrate with container orchestration. It's about the architecture, not just the ML. 🔢. DevSecOps Pipeline for a TypeScript Application (Advanced) ↳ Implement a DevSecOps pipeline with GitHub Actions. ↳ Containerize the application using Docker. ↳ Perform vulnerability scanning with Trivy. ↳ Deploy to Kubernetes using Argo CD and GitOps. ↳ Implement logging & monitoring for the end-to-end app ➡️Tutorial: https://lnkd.in/dM-ZUEwy Security isn't a checkbox. Show how it's integrated throughout the development lifecycle. ➡️In a nutshell: These aren't abstract exercises. These are solutions to real operational challenges. These demonstrate depth in cloud architecture, and integrated DevOps workflows. 🔠 Because employers want to see how you solve complex problems. 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Whether you are automating with Ansible, deploying with Terraform, or scaling with Kubernetes, Linux is the core that keeps DevOps running.

It is not just a preference; it is the heart of DevOps.

1. Basics - Linux for Noobs (Hands-on) https://lnkd.in/dsi3rZD2 - Intro to Linux Fundamentals - What is Linux? https://lnkd.in/dc-fVvfq - Practice on Linux fundamentals https://linuxjourney.com/ - Learn the Linux Fundamentals - Part 1 https://lnkd.in/dF67i8KP 2. Editing Files - Learn Vim Progressively https://lnkd.in/dpHcCrJ9 3. Working with Files https://lnkd.in/dpHcCrJ9 4. Master Linux Text Processing Commands with Our Comprehensive Guide https://lnkd.in/djdXTi7y 5. Server Review - Uptime Load https://lnkd.in/dVfRieuJ - Auth Logs https://lnkd.in/d2u_7UrK - Services Running https://lnkd.in/dyrGDBC4 - Evaluating Available Memory https://lnkd.in/dREPwPAF 6. Understanding Linux Process Management https://lnkd.in/d7MhqPE6 7. User Management https://lnkd.in/dXEEqzAZ 8. Service Management start, stop, restart Linux services (daemon HUNTING!!) https://lnkd.in/df5JUVpi 9. Package Management https://lnkd.in/dZsXHF6X 10. Linux Disks Filesystems https://lnkd.in/dJitXYbB 11. Booting Linux https://lnkd.in/dnJ7nRXB 12. Networking https://lnkd.in/dRiKdXGQ 13. Shell Programming https://lnkd.in/d58tjyBU 14. Troubleshooting https://lnkd.in/dF26NVzN 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 25 Blogs to Learn 25 Kubernetes Concepts: 1) Kubernetes Architecture: https://lnkd.in/gmRDrusm 2) POD Lifecycle: https://lnkd.in/g9cbpma4 3) etcd Setup: https://lnkd.in/gFzjeCXu 4) etcd Locks: https://lnkd.in/gYbtKsK2 5) crashloopbackoff: https://lnkd.in/gyKyBRt2 6) OOMKilled: https://lnkd.in/gznwimNr 7) ImagePullBackOff: https://lnkd.in/gzCTSWRG 8) CreateContainerConfigError: https://lnkd.in/g6Z5TdBt 9) CreateContainerError: https://lnkd.in/gG_2nHb7 10) RunContainerError: https://lnkd.in/ggQcqi5t 11) Node Disk Pressure: https://lnkd.in/gu9eFiRw 12) Node Not Ready: https://lnkd.in/gksPqZYF 13) Pod Disruption Budget: https://lnkd.in/gNZNxewk 14) RBAC: https://lnkd.in/g2Pr_aA5 15) DNS Optimization: https://lnkd.in/gmNkjZeV 16) Kubernetes Controller: https://lnkd.in/gZ6pkzMt 17) pod.yaml Breakdown: https://lnkd.in/g7yhk_tS 18) Kubernetes Upgrades: https://lnkd.in/g3nwTgwA 19) KEDA vs Karpenter: https://lnkd.in/gED3Vypc 20) Operator vs Helm: https://lnkd.in/gSeg56ME 21) Kubernetes Air Gap: https://lnkd.in/gxxqWdEE 22) QoS Classes: https://lnkd.in/gr_QU8BN 23) Kubernetes CI/CD: https://lnkd.in/gpk_Et74 24) Deployment Strategies: https://lnkd.in/gdU_8A38 25) Security Contexts: https://lnkd.in/gNQizuFy 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⏩ For those 9,999,999,999 boys and girls who still don’t fully understand the Kubernetes pod.yaml file structure. ➡️Here, I've broken down the basic structure for you. Writing a pod.yaml isn't enough, you need to know how to practically use it effectively.

♾ DevOps Zero to Hero ♾ 🖥 AWS Zero to Hero Course 🔠https://lnkd.in/dgZ446me 🖥 DevOps Zero to Hero Course 🔠https://lnkd.in/dbfYhieG 🖥 Terraform Zero to Hero 🔠https://lnkd.in/dafDXUh6 🖥 Docker 🔠https://lnkd.in/dV2myVq6 🖥 Kubernetes 🔠https://lnkd.in/dynrCFVy 🖥 Observability Zero to Hero 🔠https://lnkd.in/dHwdSa4W 🖥 Azure Zero to Hero 🔠https://lnkd.in/d3PCGrrA 🖥 What is CICD ? 🔠https://lnkd.in/d7EN3Ymi 🖥 Jenkins ZERO to HERO 🔠https://lnkd.in/dvPCQ9XZ 🖥 Real-Time Projects for DevOps and Cloud 🔠https://lnkd.in/dtuqFPNQ 🖥 GitOps & Argo CD 🔠https://lnkd.in/dBCpzJ5f 🖥 Python for DevOps 🔠https://lnkd.in/dewqThFz 🖥 Shell Scripting for DevOps 🔠https://lnkd.in/dbXVPbyT 🖥 Ansible Zero to Hero 🔠https://lnkd.in/df_Gnn74 🖥 Real DevOps Podcasts 🔠https://lnkd.in/ds6XAx_S 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs