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

Free Cloud Computing with Certificate Understanding Cloud Like 👍 Share 🤝 ➡️Cloud Foundations https://lnkd.in/dtKua4yd ➡️ AWS Vs Azure VS GCP https://lnkd.in/d7e-UbYZ ➡️ Amazon Services https://lnkd.in/dnFQyJen ➡️ IaaS for Cloud Computing https://lnkd.in/dPgqtWrK ➡️ Serverless Computing https://lnkd.in/d9nH8Kdc ➡️ Create Azure Bot https://lnkd.in/dt5mV4Rc ➡️ Microsoft Azure Essentials https://lnkd.in/dmfjR6bP ➡️ Cloud Foundations - Advanced https://lnkd.in/d-FTGGhQ ➡️ Cloud Computing Architecture https://lnkd.in/dFj6Gd8s ➡️ Cloud Service Models https://lnkd.in/duZpiUn3 ➡️ PaaS for Cloud Computing https://lnkd.in/dTtJi6UA ➡️ SaaS in Cloud Computing https://lnkd.in/dt3kyj5K ➡️ Cloud Serverless Application https://lnkd.in/dpcUAVkp ➡️ IAM Cloud Security https://lnkd.in/dYuYkDpj ➡️ Applications of Cloud Computing https://lnkd.in/dUFr--gR ➡️ Cloud Computing for Organizations https://lnkd.in/dracc7gZ ➡️ Cloud Networking With AWS VPC https://lnkd.in/d9JnGRzM ➡️ AWS For Beginners https://lnkd.in/dqsbcqDy ➡️ Serverless Computing https://lnkd.in/d9nH8Kdc ➡️ Elastic Stack https://lnkd.in/ditMH4Jm ➡️ What is AWS EC2? https://lnkd.in/dDDVxuhD ➡️ AWS Sagemaker https://lnkd.in/dkedDQsT ➡️ AWS Load Balancer https://lnkd.in/daUq5s6G ➡️ Virtual Cloud Computing https://lnkd.in/dSg7NJNW ➡️ Cloud Engineer Roles and Responsibilities https://lnkd.in/dKVtHDWJ ❤️ Follow for more: @prodevopsguy

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!!!

🚀 Mastering Ansible for Automation and Server Management 🛠 Just wrapped up a comprehensive guide on setting up Ansible for automating server management, provisioning, and configuration! Here's what we covered 🔑 Key Topics Discussed: 1️⃣ What is Ansible? An open-source tool for automation, known for its simplicity and agentless architecture. 2️⃣ Setting Up Master & Worker Nodes: Step-by-step instructions to configure Ansible on multiple servers, including SSH key setup and hosts file configuration. 3️⃣ Modules and Commands: Examples of ad hoc commands to check server status, install packages like NGINX, and troubleshoot issues. 4️⃣ Common Errors and Troubleshooting: How to resolve permission issues and other common challenges in Ansible setups. 5️⃣ Installing and Managing NGINX and Docker: Automating the installation and management of NGINX and Docker on Ubuntu and redhat Linux 2 servers. 6️⃣ Introduction to Inventory and Playbooks: A glimpse into inventory file configurations and a teaser for the next post about creating and using playbooks in Ansible. ▶️ Why Ansible? With its agentless approach, YAML-based playbooks, and Python dependencies, Ansible is a game-changer for: ✅ Server provisioning ✅ Configuration management ✅ Application deployment ✅ Continuous delivery and orchestration ⚡️More Info: HERE ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Here are some common GitHub-related issues that DevOps engineers encounter, along with their solutions: 1️⃣. Merge Conflicts: Issue: When multiple contributors modify the same file simultaneously, merge conflicts occur during pull requests. Solution: Resolve conflicts by carefully reviewing conflicting changes and manually merging them. 2️⃣. Authentication Issues: Issue: Improper authentication (SSH keys or personal access tokens) can lead to problems when pushing or pulling from repositories. Solution: Ensure correct authentication methods to avoid issues. 3️⃣. Git Submodules: Issue: Managing Git submodules can be challenging. Solution: Understand how submodules work and handle them correctly. 4️⃣. Large Files and LFS: Issue: GitHub has a file size limit. Large binary files can cause issues. Solution: Use Git LFS (Large File Storage) for managing large files. 5️⃣. Branch Protection Rules: Issue: Accidental force pushes or direct commits to protected branches. Solution: Set up branch protection rules to prevent such actions. 6️⃣. Rate Limiting: Issue: GitHub API requests are rate-limited. Solution: Use tokens and avoid excessive requests. 7️⃣. Repository Permissions: Issue: Incorrect permissions for collaborators. Solution: Ensure proper permissions to avoid unauthorized access. 8️⃣. Webhooks and CI/CD Failures: Issue: Debugging webhook and CI/CD failures. Solution: Check logs and configurations to identify and fix issues.

Remember, addressing these challenges will enhance your DevOps skills! 😊🚀

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

⭐️ 70 AWS interview questions ranging from beginner to advanced levels: ⭐️ Beginner Level 1. What is AWS? 2. What are the key services provided by AWS? 3. What is EC2 in AWS? 4. What is an S3 bucket? 5. Explain the difference between S3 and EBS. 6. What is IAM in AWS? 7. How does AWS VPC work? 8. What are Security Groups and how do they work? 9. What is an AWS region? 10. What are Availability Zones in AWS? 11. What is Auto Scaling? 12. What is Elastic Load Balancing? 13. What is Route 53? 14. Explain the difference between a public and private subnet. 15. What is CloudFormation? 16. What is AWS Lambda? 17. What is Amazon RDS? 18. How do you monitor AWS resources? 19. What is Amazon DynamoDB? 20. What is AWS Elastic Beanstalk? 21. What is Amazon CloudFront? 22. Explain Amazon SNS. 23. What is the difference between RDS and DynamoDB? 24. What are EIPs (Elastic IPs)? 25. How does AWS CloudTrail work? 26. What is Amazon CloudWatch? 27. What is the AWS Free Tier? 28. What is a NAT Gateway? 29. Explain the Shared Responsibility Model in AWS. 30. What are AWS Tags and why are they used? ⭐️ Intermediate Level 31. How do you secure data at rest and in transit in AWS? 32. Explain the difference between AWS S3 Standard and S3 Glacier. 33. How does AWS S3 versioning work? 34. What is AWS Elasticache? 35. Explain the concept of a bastion host. 36. How do you implement high availability in AWS? 37. What is AWS Direct Connect? 38. What are AWS Managed Services? 39. What is AWS Config? 40. How do you set up cross-region replication in S3? 41. Explain AWS KMS. 42. What is Amazon Redshift? 43. How does AWS handle data encryption? 44. What is Amazon EFS? 45. Explain AWS Elastic Transcoder. 46. What is AWS CodePipeline? 47. How do you implement disaster recovery in AWS? 48. What is AWS OpsWorks? 49. What is AWS Step Functions? 50. Explain the difference between Spot Instances and Reserved Instances. 51. What is Amazon SWF? 52. How do you secure an AWS API Gateway? 53. What are Placement Groups in AWS? 54. What is AWS CodeDeploy? 55. How does Amazon Athena work? 56. What is AWS Snowball? 57. Explain the concept of AWS CloudHSM. 58. What is AWS X-Ray? 59. How do you manage secrets in AWS? 60. Explain AWS Systems Manager. ⭐️ Advanced Level 61. What is the difference between horizontal and vertical scaling in AWS? 62. How does AWS Lambda handle cold starts? 63. What is a VPC peering connection and how does it work? 64. Explain the use of AWS Transit Gateway. 65. What is Amazon EKS? 66. How do you manage multi-account AWS environments? 67. Explain the concept of serverless architecture in AWS. 68. What are AWS Organizations? 69. How do you optimize costs in AWS? 70. What are the best practices for securing an AWS environment? 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

💘 70 Important DevOps interview questions: 💘 General DevOps Concepts 1. What is DevOps and why is it important? 2. Explain the difference between DevOps and Agile. 3. What are the key benefits of implementing DevOps? 4. What are the main components of a DevOps pipeline? 5. What is the role of CI/CD in DevOps? 6. How do you approach infrastructure as code (IaC)? 7. What are some common DevOps tools and their uses? 8. Explain the concept of "Shift Left" in DevOps. 9. What is the difference between CI & CD? 10. How do you handle version control in a DevOps environment? 💘 CI/CD Pipelines 11. What is a CI/CD pipeline? 12. How do you implement a CI/CD pipeline from scratch? 13. What are the common stages of a CI/CD pipeline? 14. How do you manage secrets in a CI/CD pipeline? 15. Explain the importance of automated testing in CI/CD. 16. How do you ensure that deployments are zero-downtime? 17. What tools do you use for CI/CD? 18. How do you handle rollbacks in CI/CD? 19. What is the purpose of artifact repositories in CI/CD? 20. How do you manage dependencies in a CI/CD pipeline? 💘 Containerization & Orchestration 21. What is Docker, and how does it work? 22. How do containers differ from virtual machines? 23. Explain the concept of Docker Compose. 24. What is Kubernetes, and why is it used? 25. How do you deploy a Kubernetes cluster? 26. What are Kubernetes Pods, and how do they work? 27. How do you manage Kubernetes secrets? 28. What are Kubernetes Ingress and Services? 29. How do you monitor and scale a Kubernetes cluster? 30. Explain the concept of service mesh in Kubernetes. 💘 Cloud Platforms 31. What is the difference between IaaS, PaaS, and SaaS? 32. Explain the concept of cloud formation and infrastructure as code. 33. How do you implement high availability in AWS? 34. What are the benefits of using cloud-native tools? 35. How do you manage cost optimization in cloud platforms? 36. Explain the concept of auto-scaling in AWS. 37. How do you secure a cloud environment? 38. What is the importance of tagging resources in the cloud? 39. How do you handle disaster recovery in the cloud? 40. What are the different storage options available in AWS? 💘 Monitoring & Logging 41. What is the importance of monitoring in a DevOps environment? 42. How do you set up monitoring for your applications? 43. What tools do you use for monitoring and logging? 44. Explain the concept of observability. 45. How do you handle log aggregation and analysis? 46. What is the difference between metrics and logs? 47. How do you monitor the performance of a microservices architecture? 48. What is the role of alerting in monitoring? 49. How do you ensure the security of monitoring data? 50. What is the importance of tracing in a distributed system? 💘 Infrastructure as Code (IaC) 51. What is Infrastructure as Code (IaC)? 52. How do you implement IaC in your environment? 53. What tools do you use for IaC? 54. Explain the concept of immutable infrastructure. 55. How do you handle configuration management in IaC? 56. What are the challenges of implementing IaC? 57. How do you version control infrastructure code? 58. What is the importance of idempotency in IaC? 59. How do you test and validate IaC scripts? 60. How do you handle secrets management in IaC? 💘 Automation & Scripting 61. Why is automation important in DevOps? 62. How do you approach task automation in your projects? 63. What scripting languages do you use for automation? 64. How do you automate server provisioning and configuration? 65. What is the role of Ansible in automation? 66. How do you handle automation in a multi-cloud environment? 67. What are the benefits of using Terraform for automation? 68. How do you ensure the security of automation scripts? 69. How do you handle errors in automated workflows? 70. What is the importance of idempotency in automation? 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

➡️ 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞 𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬: - FROM: Sets the base image. - RUN: Executes commands in the container. - MAINTAINER: Identifies the image creator. - LABEL: Adds metadata. - ADD: Copies files (supports URLs). - COPY: Copies files (no URLs). - VOLUME: Creates a shared mount point. - EXPOSE: Specifies listening port. - WORKDIR: Sets the working directory. - USER: Defines the user for processes. - STOPSIGNAL: Specifies stop signal. - ENTRYPOINT: Sets the start command. - CMD: Sets the default command. - ENV: Sets environment variables. ➡️ 𝐃𝐨𝐜𝐤𝐞𝐫 𝐑𝐮𝐧 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬: - --name: Names the container. - -v, --volume: Mounts a volume. - --network: Connects to a network. - -d, --detach: Runs in background. - -i, --interactive: Keeps STDIN open. - -t, --tty: Allocates a pseudo-TTY. - --rm: Auto-removes container on exit. - -e, --env: Sets environment variables. - --restart: Sets restart policy. ➡️ 𝐂𝐨𝐫𝐞 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: - Docker Image: Read-only snapshot of a container. - Docker Container: Executable package with software and dependencies. - Docker Client: Tool to interact with Docker. - Docker Daemon: Service managing Docker objects. - Docker Registry: Storage for Docker images. ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ If you want to become good at AWS, then learn these use cases: 1️⃣) Implementing VPC Network Segmentation Crash Course ➡️ https://lnkd.in/grtAeerp 2️⃣) Understanding Cross Zone Load Balancing ➡️ https://lnkd.in/gy4wDuRR 3️⃣) AWS Internet Gateway vs NAT Gateway – Which One to Choose? ➡️ https://lnkd.in/gvYAk8uM 4️⃣) When Microservices Architecture Becomes a Bad Idea? ➡️ https://lnkd.in/gCaWGYDE 5️⃣) AWS VPC Gateway Endpoints - The Most Underrated Cost Savers ➡️ https://lnkd.in/g7-CUNfZ 6️⃣) How GuardDuty Protects S3 from Malware ➡️ https://lnkd.in/gF6u4533 7️⃣) How Canva Migrated 100M+ MAU Data with Zero Downtime Using DMS ➡️ https://lnkd.in/g_shQsGk ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

As a DevOps engineer working with Docker 🐬, you might encounter common issues. Let's explore some of them and their solutions: 1⃣. Dockerfile Errors: Problem: Typos or incorrect commands in your Dockerfile can lead to build failures. Solution: Review your Dockerfile carefully. Fix any typos or invalid commands. Ensure that each step completes successfully before proceeding[1]. 2⃣. Container Naming Collisions: Problem: Running multiple containers with the same name can cause conflicts. Solution: Use unique container names or remove existing containers with conflicting names before starting new ones. 3⃣. Networking Issues: Problem: Containers unable to communicate with each other or external services. Solution: Check network configurations, DNS settings, and firewall rules. Ensure containers are on the same network if they need to communicate. 4⃣. Resource Constraints: Problem: Containers crashing due to insufficient resources (CPU, memory). Solution: Adjust resource limits using flags like --cpus and --memory. 5⃣. Image Pull Failures: Problem: Unable to pull images from registries. Solution: Verify network connectivity, authentication, and registry URLs. 6⃣. Volume Mount Issues: Problem: Volumes not mounting correctly. Solution: Check volume paths, permissions, and host paths. Remember to consult official documentation and community forums for specific error messages and detailed troubleshooting steps. Happy Dockerizing! 🐳🔧 ➡️Reference links: [1] [2] [3] [4] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 New Update in the Azure All-in-One Repository! 🌟 I've added a massive update to my repository, Azure All-in-One 🧑‍💻. Whether you're just starting out or diving deeper into Azure, this update is for you! 💡 What’s New? 📌 Getting Started with Azure: Beginner-friendly resources, Microsoft Docs, and video tutorials to kickstart your Azure journey. 📌 Databases in Azure: Comprehensive guides and links to master Azure database services. 📌 Machine Learning with Azure: Explore resources for building and deploying machine learning solutions on Azure. 📌 Automation in Azure: Learn to automate workflows with curated resources and tutorials. 📌 Complete List of Azure Products: A categorized list of Azure services (Compute, AI, DevOps, Storage, and more) with direct links to documentation. 👉☁️ Check it out here: https://github.com/NotHarshhaa/azure-all_in_one

Dive in, explore, and let me know your feedback or suggestions! Your support and stars ⭐️ mean a lot!

💡 Azure All-in-One Guide ☁️ 🖥 Explore the 📱 repository here: https://github.com/NotHarshhaa/azure-all_in_one This repository is your ultimate resource for everything Azure! Here's what it includes: - ✅ A complete list of all official Microsoft Azure updates. - ✅ The Azure roadmap, newsletters, and weekly updates on new features. - ✅ Comprehensive libraries and demos for all Azure certifications. - ✅ Azure tools with detailed architectural diagrams. - ✅ Resources for Azure CLI and Azure PowerShell. - ✅ Billing calculators for all Azure services. - ✅ Tools for Azure app migration assessments. - ✅ Insights into Azure security, privacy, transparency, and compliance questions. - ✅ Access to free training on various Microsoft cloud technologies. - ✅ A collection of free video tutorials on multiple Azure topics. - ✅ Weekly interviews with the engineers behind Microsoft Azure. - ✅ Short podcasts diving into different Azure services. - ✅ Blogs sharing expertise on Azure, Azure Stack, and cloud technologies. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ Getting into DevOps can be 100% free and 100% project-based ⚡️ 10 projects to include in your resume: 1. Continuously Build & Deploy Python Web App On AWS With GitHub Action 🔗https://lnkd.in/g9sxVhte 2. Python Automation That Saved Our Client $1000/Month On Cloud Bills 🔗https://lnkd.in/gR7Rg2JZ 3. Terraform To Deploy AWS Lambda Function With S3 Trigger 🔗https://lnkd.in/g4HKF_SA 4. Building a RESTful API with Flask and PostgreSQL 🔗https://lnkd.in/gwZBHjvj 5. Securely Connect EC2 Instances To S3 Buckets Via a Private Network With the VPC Gateway Endpoint - Terraform Implementation 🔗https://lnkd.in/gfU5yxMy 6. Automate the Lambda Layer management with Terraform and Github Action 🔗https://lnkd.in/gW8ZrAhm 7. Deploy A highly Secure 3-Tier Infrastructure On AWS With Terraform And GitHub Action 🔗https://lnkd.in/gfmhPbjq 8. A Complete Guide To Serverless On AWS With Lambda 🔗https://lnkd.in/gdPEyGRB 9. Docker-compose to run a web application with Flask and Postgres containers. 🔗https://lnkd.in/gZ5ANRjz 10. Automate AWS SQS Encryption with Python And Boto3 🔗https://lnkd.in/gmDzsjcw ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔣 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗖𝗼𝗺𝗺𝗼𝗻 𝗘𝗿𝗿𝗼𝗿𝘀 🔣 1️⃣.𝙄𝙢𝙖𝙜𝙚𝘽𝙖𝙘𝙠𝙋𝙪𝙡𝙡𝙊𝙛𝙛 :- We face this issue when the image is not present in registry or the given image tag is wrong. Make sure you provide correct registry url, image name and image tag. We might face authentication failures, when image is being stored in a private registry, make sure to create secret with private registry credentials and add created secret in Kubernetes Deployment File to pull docker image. 2️⃣.𝘾𝙧𝙖𝙨𝙝𝙇𝙤𝙤𝙥𝘽𝙖𝙘𝙠𝙊𝙛𝙛 :- We face this issue when the process deployed inside container not running then the POD will be moved to CrashLoopBackOff. POD might be running out of CPU or memory, POD should get enough resources allocated that’s cpu and memory for an application to be up and running, to fix that check in Resources Requests and Resources Limits. 3️⃣.𝙊𝙊𝙈 𝙆𝙞𝙡𝙡𝙚𝙙 - 𝙊𝙪𝙩 𝙊𝙛 𝙈𝙚𝙢𝙤𝙧𝙮 :- We face this issue when PODs tries to utilise more memory than the limits we have set. We can resolve it by setting appropriate resource request and resource limit. 4️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙋𝙚𝙣𝙙𝙞𝙣𝙜 :- When nodes might not be ready and required resources like CPU and Memory may not be available in nodes for the PODs to be up and running. 5️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙒𝙖𝙞𝙩𝙞𝙣𝙜 :- POD will be scheduled to a node but POD won’t be running in scheduled node. We can fix this by providing correct image name, image tag and authentication to registry. 6️⃣.𝙋𝙊𝘿 𝙬𝙞𝙡𝙡 𝙗𝙚 𝙪𝙥 𝙖𝙣𝙙 𝙧𝙪𝙣𝙣𝙞𝙣𝙜 𝙖𝙣𝙙 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙞𝙨 𝙣𝙤𝙩 𝙖𝙘𝙘𝙚𝙨𝙨𝙞𝙗𝙡𝙚. We can fix this by creating appropriate service. If service is already created and application is still not accessible, make sure application and service are deployed in same namespace. 7️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙀𝙫𝙞𝙘𝙩𝙚𝙙 :- We can resolve this by setting appropriate resource requests and resource limits for the PODs and having enough resources in worker nodes. ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📢 DevOps Project-23: ☁️ DevSecOps: Blue-Green Deployment of Swiggy-Clone on AWS ECS with AWS Code Pipeline 🔗 Project Link: HERE 📶 Project Overview :- To demonstrate Blue-Green deployment, we’ll use AWS ECS to host our Swiggy-clone application. ECS is a highly scalable container orchestration service provided by AWS. ➡️Implementing Blue-Green Deployment with AWS CodePipeline: AWS CodePipeline is a fully managed continuous integration and continuous delivery (CI/CD) service that automates the build, test, and deployment phases of your release process. Let’s see how to set up a Blue-Green deployment pipeline using AWS CodePipeline: 🔢. Source Stage: Connect your CodePipeline to your source code repository (e.g., GitHub). Trigger the pipeline when changes are detected in the repository. 🔢. Build Stage: Use AWS CodeBuild to build your Swiggy-clone Docker image from the source code. Run any necessary tests during this stage. 🔢. Deploy Stage: Configure AWS CodeDeploy for ECS to manage the deployment of your application to ECS clusters. Here’s where Blue-Green deployment strategy comes into play: ❤️‍🔥 Share with friends and colleagues ❤️‍🔥

📣 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

🚨 𝗕𝗹𝘂𝗲-𝗚𝗿𝗲𝗲𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗼𝗻 𝗘𝗞𝗦 𝘂𝘀𝗶𝗻𝗴 𝗖𝗜𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 🚀 Deploying new versions of applications without downtime is crucial for maintaining a seamless user experience. 💎 𝗞𝗲𝘆 𝗣𝗼𝗶𝗻𝘁𝘀: 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 𝗦𝗲𝗿𝘃𝗶𝗰𝗲: Instead of using an ingress controller, we leveraged Kubernetes' LoadBalancer service to route traffic between the Blue (current live) and Green (new version) environments. This allowed us to switch traffic seamlessly once Green passed all health checks. ▶️ 𝗠𝘆𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: We carefully handled database migrations to ensure consistency between Blue and Green environments, preventing data conflicts or downtime. ▶️ 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗦𝗵𝗶𝗳𝘁𝗶𝗻𝗴 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: Once Green was deployed and tested, traffic was rerouted through Elastic Load Balancer (ELB) in AWS. Prometheus and CloudWatch were used for monitoring during the switch, ensuring a smooth transition. ▶️ 𝗥𝗼𝗹𝗹𝗯𝗮𝗰𝗸 𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝘀𝗺: In case any issues arose during the Green deployment, the LoadBalancer could be quickly reverted to point back to the Blue environment, ensuring no impact on users. 💎 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀: 𝗭𝗲𝗿𝗼 𝗗𝗼𝘄𝗻𝘁𝗶𝗺𝗲: Ensured uninterrupted service for end-users. ▶️ 𝗥𝗶𝘀𝗸 𝗠𝗶𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻: Quick rollback capability minimized the risk during deployments. ▶️ 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: The load balancer service efficiently handled high traffic, ensuring performance.

This deployment strategy gave us the confidence to roll out new features and updates without worrying about downtime.

📱 𝗖𝗵𝗲𝗰𝗸 𝗢𝘂𝘁 𝘁𝗵𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗩𝗶𝗱𝗲𝗼 𝗮𝘁 𝗗𝗲𝘃𝗢𝗽𝘀 𝗦𝗵𝗮𝗰𝗸 𝗬𝗧: https://lnkd.in/gm9-uHRb ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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➡️ What is a Kubernetes Deployment Strategy? Briefly describe its type. A Kubernetes deployment strategy is a declarative configuration that governs how application updates are applied. Typically, it is defined in a YAML file as part of the Kubernetes Deployment object. Alternatively, you can create deployments imperatively using explicit commands. The different Kubernetes Deployment Strategies are explained below: 🔢. Rolling Deployment - The default strategy in Kubernetes. - Updates Pods incrementally, replacing those running the old application version with the new version one at a time, ensuring zero downtime. 🔢. Recreate Deployment - An all-or-nothing approach. - Terminates all existing Pods before deploying new ones, resulting in downtime during the transition. 🔢. Ramped (Slow) Rollout - Gradually replaces old replicas with new ones, maintaining a balance between the old and new versions during the update process. 🔢. Best-Effort Controlled Rollout - Introduces a 'maxUnavailable' parameter to specify the percentage of unavailable pods during the update, allowing for faster rollouts while maintaining partial availability. 🔢. Blue/Green Deployment - Creates two separate environments (blue for the current version and green for the new version). - Traffic is shifted to the new (green) environment only after it has been validated. 🔢. Canary Deployment - A progressive delivery approach. - Deploys the new version to a small subset of users for testing, expanding its rollout to a larger audience if successful. 🔢. Shadow Deployment - Deploys the new version (shadow) alongside the current one. - The shadow receives real-world traffic but does not affect end-users, allowing for performance or feature validation. 🔢. A/B Testing - Simultaneously deploys two or more versions of an application or feature to different user subsets. - Measures performance based on engagement, error rates, or other key metrics to determine the better-performing version.

25 ☁️ git commands to make your life easier as a devops engineer. 𝟭. 𝗴𝗶𝘁 𝗱𝗶𝗳𝗳: Show file differences not yet staged. 𝟮. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 -𝗮 -𝗺 "𝗰𝗼𝗺𝗺𝗶𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲": Commit all tracked changes with a message. 𝟯. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘁𝘂𝘀: Show the state of your working directory. 𝟰. 𝗴𝗶𝘁 𝗮𝗱𝗱 𝗳𝗶𝗹𝗲_𝗽𝗮𝘁𝗵:Add file(s) to the staging area. 𝟱. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 -𝗯 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Create and switch to a new branch. 𝟲. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Switch to an existing branch. 𝟳. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 --𝗮𝗺𝗲𝗻𝗱:Modify the last commit. 𝟴. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 𝗼𝗿𝗶𝗴𝗶𝗻 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Push a branch to a remote. 𝟵. 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: Fetch and merge remote changes. 𝟭𝟬. 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲 -𝗶: Rebase interactively, rewrite commit history. 𝟭𝟭. 𝗴𝗶𝘁 𝗰𝗹𝗼𝗻𝗲: Create a local copy of a remote repo. 𝟭𝟮. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲: Merge branches together. 𝟭𝟯. 𝗴𝗶𝘁 𝗹𝗼𝗴 --𝘀𝘁𝗮𝘁: Show commit logs with stats. 𝟭𝟰. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵: Stash changes for later. 𝟭𝟱. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵 𝗽𝗼𝗽: Apply and remove stashed changes. 𝟭𝟲. 𝗴𝗶𝘁 𝘀𝗵𝗼𝘄 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Show details about a commit. 𝟭𝟳. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝗛𝗘𝗔𝗗~𝟭: Undo the last commit, preserving changes locally. 𝟭𝟴. 𝗴𝗶𝘁 𝗳𝗼𝗿𝗺𝗮𝘁-𝗽𝗮𝘁𝗰𝗵 -𝟭 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Create a patch file for a specific commit. 𝟭𝟵. 𝗴𝗶𝘁 𝗮𝗽𝗽𝗹𝘆 𝗽𝗮𝘁𝗰𝗵_𝗳𝗶𝗹𝗲_𝗻𝗮𝗺𝗲: Apply changes from a patch file. 𝟮𝟬. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 -𝗗 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Delete a branch forcefully. 𝟮𝟭. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁: Undo commits by moving branch reference. 𝟮𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁: Undo commits by creating a new commit. 𝟮𝟯. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Apply changes from a specific commit. 𝟮𝟰. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵: Lists branches. 𝟮𝟱. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 --𝗵𝗮𝗿𝗱: Resets everything to a previous commit, erasing all uncommitted changes. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs