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

🟩 Ansible 🆓 Videos 🔴 🔗Link : https://drive.google.com/drive/folders/1p35HHSamOyL1Rta8hK5--4k1mPWYAXaV?usp=sharing ❤️ Follow for more: @prodevopsguy

🟩 Docker Free Videos 🐬 🔗Link : https://drive.google.com/drive/folders/1lXSplxsWu-7f4Bbb3V9o-Em4XUahWVeD?usp=sharing ❤️ Follow for more: @prodevopsguy

➡️Docker 🐬 and Kubernetes Free Videos 🟩 : ✅Link: https://drive.google.com/drive/folders/162YOHhybk_pYemCfKmKSGbdSjJDeuAYR?usp=sharing ❤️ Follow for more: @prodevopsguy

📢 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 ➡️𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐎𝐮𝐭):- Horizontal scaling involves altering the number of pods available to the cluster to suit sudden changes in workload demands. As the scaling technique involves scaling pods instead of resources, it’s commonly a preferred approach to avoid resource deficits. ➡️𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐔𝐩):- Contrary to horizontal scaling, a vertical scaling mechanism involves the dynamic provisioning of attributed resources such as RAM or CPU of cluster nodes to match application requirements. This is essentially achieved by tweaking the pod resource request parameters based on workload consumption metrics. ➡️𝐂𝐥𝐮𝐬𝐭𝐞𝐫/𝐌𝐮𝐥𝐭𝐢𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 :- Cluster scaling involves increasing or reducing the number of nodes in the cluster based on node utilization metrics and the existence of pending pods. The cluster autoscaling object typically interfaces with the chosen cloud provider so that it can request and deallocate nodes seamlessly as needed. ➡️𝐌𝐚𝐧𝐮𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 :- Manual scaling in Kubernetes involves adjusting the number of nodes or resources allocated to a cluster manually. This can be done by adding or removing nodes, adjusting resource requests and limits, and distributing workloads across nodes to optimize performance. ➡️𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐢𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 :- Predictive scaling stands as a transformative approach in the orchestration of cloud-native applications, allowing Kubernetes to not just react to current demands but to anticipate future needs. This forward-looking strategy harnesses the power of data analysis and machine learning to create a more dynamic, efficient, and user-oriented scaling process. 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

♾ 𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐭𝐨𝐨 𝐬𝐥𝐨𝐰? 𝐂𝐈/𝐂𝐃 𝐢𝐬 𝐲𝐨𝐮𝐫 𝐥𝐚𝐮𝐧𝐜𝐡𝐩𝐚𝐝 𝐭𝐨 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞! 🚀 Are endless manual deployments and sluggish release cycles holding your team back? You're not alone! But fear not, there's a solution that can turn your development process into a well-oiled machine: CI/CD (Continuous Integration/Continuous Delivery). The benefits are out of this world: ⏩Faster releases: Get features to users sooner, keeping them engaged and competitive. ⏩Improved quality: Catch and fix bugs early, reducing downtime and frustration. ⏩Happier developers: Less manual work means more time for innovation and creativity. 🌐𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

❤️‍🔥 Terraform Files and Folder Structure: Organizing Infrastructure-as-Code ➡️When working with Terraform CLI, organizing your configuration files is crucial for your infrastructure's long-term maintainability and scalability as code. ➡️Properly structured files ensure that your Terraform codebase is intuitive to navigate, straightforward to update, and clear to comprehend, which is particularly important as your cloud infrastructure becomes more complex. ➡️Choosing the proper structure for your Terraform configuration files at the beginning of a project is essential because later restructuring can be challenging and require significant refactoring efforts. 𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: 🖥 https://prodevopsguy.site/terraform-files-and-folder-structure-organizing-infrastructure-as-code 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📣 Hiring DevOps Engineer ✉️ Share your cv at swetha@hyringninja.com ➡️Role: "AWS DevOps Engineer". ➡️Experience: 2 to 4 years. ➡️Job Location: Bangalore (WFO) ⛔ Note: Only Immediate Joiners or Notice period of 30 days. #hiring #devops #cloud #aws ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

As a DevOps Engineer, Top 15 𝐂𝐨𝐦𝐦𝐨𝐧 𝐢𝐬𝐬𝐮𝐞𝐬 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱. 🐧 you should be aware of : 𝟏. 𝐏𝐚𝐜𝐤𝐚𝐠𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐈𝐬𝐬𝐮𝐞𝐬: - Issue: Unable to install a package. - Solution: Use the package manager for your distribution (e.g., apt for Debian/Ubuntu, yum for CentOS) and ensure repositories are properly configured. 𝟐. 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧: - Issue: No internet connection. - Solution: Check network cables, run network diagnostic commands (ifconfig, ping), and verify DNS settings. 𝟑. 𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: - Issue: Permission denied while trying to access or modify files. - Solution: Use chmod or chown to adjust file permissions or ownership. Be cautious not to modify critical system files. 𝟒. 𝐁𝐨𝐨𝐭 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: - Issue: System not booting properly. - Solution: Use a live CD/USB to access the system, repair the bootloader (e.g., Grub), or fix corrupted system files. 𝟓. 𝐔𝐩𝐝𝐚𝐭𝐞 𝐈𝐬𝐬𝐮𝐞𝐬: - Issue: Software updates fail. - Solution: Check repositories, update the package list (sudo apt update), and then upgrade packages (sudo apt upgrade). 𝟔. 𝐃𝐢𝐬𝐤 𝐒𝐩𝐚𝐜𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: - Issue: Running out of disk space. - Solution: Identify large files/directories (du or df commands) and remove unnecessary files. Be careful not to delete critical system files. 𝟕. 𝐆𝐫𝐚𝐩𝐡𝐢𝐜𝐚𝐥 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 𝐈𝐬𝐬𝐮𝐞𝐬: - Issue: Desktop environment not loading. - Solution: Check graphics drivers, reinstall desktop environment, or switch to a different one. 𝟖. 𝐊𝐞𝐫𝐧𝐞𝐥 𝐏𝐚𝐧𝐢𝐜: - Issue: Kernel panic during boot. - Solution: Boot into a different kernel version, update the kernel, or reinstall the kernel package. 𝟗. 𝐀𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: - Issue: Unable to log in. - Solution: Verify username and password, check for CAPS LOCK, and reset password if needed. 𝟏𝟎. 𝐒𝐰𝐚𝐩 𝐒𝐩𝐚𝐜𝐞 𝐈𝐬𝐬𝐮𝐞𝐬: - Issue: Insufficient swap space. - Solution: Resize or add swap space using swapon or by modifying the /etc/fstab file. 𝟏𝟏. 𝐅𝐢𝐥𝐞 𝐒𝐲𝐬𝐭𝐞𝐦 𝐂𝐨𝐫𝐫𝐮𝐩𝐭𝐢𝐨𝐧: - Issue: File system errors. - Solution: Run file system checks (fsck) on unmounted partitions to fix errors. 𝟏𝟐. 𝐈𝐧𝐜𝐨𝐦𝐩𝐚𝐭𝐢𝐛𝐥𝐞 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: - Issue: Missing or incompatible libraries. - Solution: Install required libraries using the package manager. 𝟏𝟑. 𝐒𝐲𝐬𝐭𝐞𝐦𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐅𝐚𝐢𝐥𝐮𝐫𝐞𝐬: - Issue: Service not starting. - Solution: Check service status with systemctl status, review logs, and restart the service. 𝟏𝟒. 𝐅𝐢𝐫𝐞𝐰𝐚𝐥𝐥 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧: - Issue: Unable to access services due to firewall. - Solution: Adjust firewall rules using tools like ufw or firewalld. 𝟏𝟓. 𝐒𝐄𝐋𝐢𝐧𝐮𝐱 𝐈𝐬𝐬𝐮𝐞𝐬: - Issue: SELinux denials. - Solution: Review SELinux logs, adjust SELinux policies, or set SELinux to permissive mode ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

➡️ 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞? A Dockerfile is essentially a set of instructions that Docker follows to build a Docker image. These instructions specify what operating system to use, what software packages to install, what files to copy into the container, what environment variables to set, and what commands to run when the container starts. ➡️𝐖𝐡𝐲 𝐔𝐬𝐞 𝐚 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞? 🔹Reproducibility: With a Dockerfile, you can ensure that your application environment is consistent across different environments, such as development, testing, and production. This reproducibility eliminates the "it works on my machine" problem. 🔹Version Control: Dockerfiles are text files that can be version controlled using tools like Git. This means you can track changes to your Docker environment over time and easily roll back to previous versions if needed. 🔹Automation: Dockerfiles enable automation of the containerization process. Once you have defined your Dockerfile, you can use it to build your Docker image with a single command, streamlining the deployment process. 🔹Scalability: Dockerfiles allow you to define the components of your application stack in a modular way. This makes it easy to scale your application by adding or removing containers as needed. 🔹Collaboration: Dockerfiles make it easy to share your application environment with collaborators. By sharing your Dockerfile, others can quickly spin up the same environment on their own machines. 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🔔 𝟏𝟎𝟎 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐄𝐫𝐫𝐨𝐫𝐬 𝐖𝐢𝐭𝐡 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐈𝐧 𝐃𝐞𝐭𝐚𝐢𝐥 ➡️ Kubernetes has become the de facto standard for container orchestration, providing a powerful and scalable platform for deploying and managing applications. However, like any complex system, Kubernetes can encounter errors during the process, which can lead to frustration and downtime. 🔖 In this blog, we will explore common reasons for errors in 100 Kubernetes and provide possible solutions for each case. Let's dive in! 𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: https://prodevopsguy.site/100-Kubernetes-Errors-With-Solution ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⚡️ Looking for a DevOps Engineer. 🔣Minimum 2+yrs experience, exposure in CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or similar solutions. 🔣Knowledge of Cloud infra(Oracle) is an added advantage. 📧 Mail updated resume at s.dhesihan@imtiaz.ae ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📣 Hiring DevOps Engineer

⛈ Knowing these 20 AWS ☁️ services makes you an AWS DevOps expert! ⏩Infra as code - AWS CloudFormation - AWS CDK ⏩Monitoring & Logging - AWS CloudWatch - AWS CloudTrail ⏩CI/CD - AWS CodePipeline - AWS CodeBuild - AWS CodeDeploy ⏩Configuration Management - AWS Systems Manager - AWS OpsWorks ⏩Security - AWS IAM - AWS KMS ⏩Networking - AWS VPC - AWS Direct Connect ⏩Containers - AWS ECS - AWS ECR - AWS EKS ⏩Serverless - AWS Lambdas - AWS API Gateway ⏩Databases - AWS RDS - AWS DynamoDB 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📣 Hiring DevSecOps Engineer ..

100 Terms & Services which every DevOps ♾ Engineer should be aware of: 1. Continuous Integration (CI): Automates code integration. 2. Continuous Deployment (CD): Automated code deployment. 3. Version Control System (VCS): Manages code versions. 4. Git: Distributed version control. 5. Jenkins: Automation server for CI/CD. 6. Build Automation: Automates code compilation. 7. Artifact: Build output package. 8. Maven: Build and project management. 9. Gradle: Build automation tool. 10. Containerization: Application packaging and isolation. 11. Docker: Containerization platform. 12. Kubernetes: Container orchestration. 13. Orchestration: Automated coordination of components. 14. Microservices: Architectural design approach. 15. Infrastructure as Code (IaC): Manage infrastructure programmatically. 16. Terraform: IaC provisioning tool. 17. Ansible: IaC automation tool. 18. Chef: IaC automation tool. 19. Puppet: IaC automation tool. 20. Configuration Management: Automates infrastructure configurations. 21. Monitoring: Observing system behavior. 22. Alerting: Notifies on issues. 23. Logging: Recording system events. 24. ELK Stack: Log management tools. 25. Prometheus: Monitoring and alerting toolkit. 26. Grafana: Visualization platform. 27. Application Performance Monitoring (APM): Monitors app performance. 28. Load Balancing: Distributes traffic evenly. 29. Reverse Proxy: Forwards client requests. 30. NGINX: Web server and reverse proxy. 31. Apache: Web server and reverse proxy. 32. Serverless Architecture: Code execution without servers. 33. AWS Lambda: Serverless compute service. 34. Azure Functions: Serverless compute service. 35. Google Cloud Functions: Serverless compute service. 36. Infrastructure Orchestration: Automates infrastructure deployment. 37. AWS CloudFormation: IaC for AWS. 38. Azure Resource Manager (ARM): IaC for Azure. 39. Google Cloud Deployment Manager: IaC for GCP. 40. Continuous Testing: Automated testing at all stages. 41. Unit Testing: Tests individual components. 42. Integration Testing: Tests component interactions. 43. System Testing: Tests entire system. 44. Performance Testing: Evaluates system speed. 45. Security Testing: Identifies vulnerabilities. 46. DevSecOps: Integrates security in DevOps. 47. Code Review: Inspection for quality. 48. Static Code Analysis: Examines code without execution. 49. Dynamic Code Analysis: Analyzes running code. 50. Dependency Management: Handles code dependencies. 51. Artifact Repository: Stores and manages artifacts. 52. Nexus: Repository manager. 53. JFrog Artifactory: Repository manager. 54. Continuous Monitoring: Real-time system observation. 55. Incident Response: Manages system incidents. 56. Site Reliability Engineering (SRE): Ensures system reliability. 57. Collaboration Tools: Facilitates team communication. 58. Slack: Team messaging platform. 59. Microsoft Teams: Collaboration platform. 60. ChatOps: Collaborative development through chat. ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔥 YOUTUBE CHANNELS TO LEARN DEVOPS 🔥 ❓ Note: This tutorial should be followed, the way I numbered it. ⚡️ COMPLETE DEVOPS TUTORIAL: ➡️ 1. DevOps Pre-requisite https://lnkd.in/dD9Z_5qA ➡️ 2. Networking https://lnkd.in/dEmZ8zhY https://lnkd.in/dwfmwmA9 ➡️ 3. Linux https://lnkd.in/d7gzxH5z https://lnkd.in/dr4pjCV3 https://lnkd.in/dzTQE4b7 ➡️ 4. Shell scripting https://lnkd.in/dKrD_up7 https://lnkd.in/dJVqMt3Y https://lnkd.in/d7VVbbNJ ➡️ 5. Git & GitHub https://lnkd.in/dEp3KrTJ https://lnkd.in/d6aM7Ek7 https://lnkd.in/duksFRgG https://lnkd.in/ddpKXxqt ➡️ 6. Databases https://lnkd.in/duMVr4bn https://lnkd.in/dnUQ_uGe ➡️ 7. Artifact Repository Manager https://lnkd.in/dgNHs7WD ➡️ 8. Docker https://lnkd.in/dPddbJTf https://lnkd.in/dnjHdxPR ➡️ 9. Jenkins https://lnkd.in/dMHv9T8U https://lnkd.in/dcynPYYH ➡️ 10. AWS https://lnkd.in/dz7d5qEc https://lnkd.in/dmi-TMv9 https://lnkd.in/dx-iqVNe ➡️ 11. SSH 🟢 Mobaxterm : https://lnkd.in/ds7nUhbx 🟢 Putty : https://lnkd.in/gGgW7Ns9 ➡️ 12. Yaml https://lnkd.in/dNqrXjmV https://lnkd.in/dNqrXjmV ➡️ 13. Kubernetes https://lnkd.in/duGZwHYX https://lnkd.in/de84ESNv ➡️ 14. Helm https://lnkd.in/ds_8WB7G ➡️ 15. Terraform https://lnkd.in/dvpzNT5M https://lnkd.in/dRs3YFu3 https://lnkd.in/d8nkTj3n ➡️ 16. Python https://lnkd.in/d-EhshQz https://lnkd.in/dYjay9ia https://lnkd.in/dFtNz_9D https://lnkd.in/dcYq8nE2 ➡️ 17. Ansible https://lnkd.in/dGKkrXrA https://lnkd.in/dNugwtVW https://lnkd.in/dhknHJXp ➡️ 18. Prometheus https://lnkd.in/dpXhmVqs https://lnkd.in/dStQbpRX ➡️ 19. Grafana https://lnkd.in/ddAV7_-p https://lnkd.in/dRwfE7A4 HAPPY LEARNING 📌 ©: @prodevopsguy

🚀 Exciting Tech Talk! ✨ Unlock the Power of Automation with Ansible! 🌐💻 📌 Ansible, the ultimate IT automation tool, brings efficiency to your tasks with these key features: 🔢 IT Automation 🔢 Configuration Management 🔢 Automated Deployment 🛠 Dive into the Pool Configuration Tool: ➡️ Nodes: Systems waiting to be configured and regularly check with the server and fetch configurations. ➡️ Module: Your configuration code file ➡️ Inventory: A handy document grouping nodes under specific labels 📘 Master the Playbook: - The core of Ansible, a set of instructions to configure nodes. - Written in YAML for simplicity and flexibility. 📊 Meet the Inventory: - a. Webserver - b. Database server 🌐 Elevate with Ansible Tower by Red Hat: - A framework that enriches Ansible. - Provides a sleek GUI, reducing dependency on the 'cmd' window. 🚀 Streamline your operations, automate with Ansible! 💪💡 ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!