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

🎤 Frequently Asked Questions ‼️ 🔢. How to become a DevOps Engineer? ➡️ To become a DevOps Engineer, you need to have technical skills in areas such as development, automation, containerization, cloud, CI/CD pipelines etc. Some sample tools and technologies to learn may include any programming language, AWS, Ansible, Terraform, Docker, Kubernetes, Jenkins, Git, and monitoring and logging tools. Gain experience by working on DevOps projects, develop a DevOps mindset, get certified, and apply for DevOps Engineer positions by highlighting your skills and experience in your resume. 🔢. What are some misconceptions about DevOps? ➡️ Some common misconceptions about DevOps include: 🟢 DevOps is just automation: While automation is an important part of DevOps, it's not the only thing. DevOps is a culture that emphasizes collaboration, communication, and integration between development and operations teams to improve the quality and speed of software delivery. 🟢 DevOps is just a job title: DevOps is a mindset and set of practices, not a specific job title. Anyone involved in the software development and delivery process can adopt a DevOps mindset and apply DevOps practices in their work, including developers, testers, operations engineers, and others. 🟢 DevOps eliminates the need for IT operations: DevOps does not eliminate the need for IT operations. Instead, it changes the way that operations teams work by promoting collaboration with development teams and introducing new tools and processes for deployment, monitoring, and maintenance. ❤️ Follow for more: @prodevopsguy

📣 New to DevOps? 📣 Here are the most widely used tools in the industry along with their official documentation: ➡️ Source Code Management: 1. Git: https://git-scm.com/docs 2. GitHub: https://docs.github.com/en 3. Bitbucket: https://lnkd.in/dA2PcM_w ➡️ Ticketing Tools: 1. Service Now: https://lnkd.in/d69yubJF 2. Jira: https://lnkd.in/dD_WcXFQ 3. Trello: https://trello.com/guide ➡️ Public Clouds: 1. AWS: https://lnkd.in/dMa9XpMa 2. Azure: https://lnkd.in/dBsJtZHy 3. GCP: https://lnkd.in/d3hmN-Jr ➡️ Containerization and Orchestration Tools: 1. Docker: https://docs.docker.com/ 2. Kubernetes: https://lnkd.in/dZXfQEqW 3. Mesos: https://lnkd.in/dqzvzJhY ➡️ Deployment Tools: 1. Terraform: https://lnkd.in/dM46h2_D 2. Octopus: https://octopus.com/docs 3. Heroku: https://lnkd.in/dCDuwvcj ➡️ Testing Tools: 1. Selenium: https://lnkd.in/dTnFN8bT 2. Cucumber: https://lnkd.in/dpmD4A9C 3. Postman: https://lnkd.in/d3xERi6c ➡️ Build Tools: 1. Maven: https://lnkd.in/dfgBnrZj 2. Gradle: https://lnkd.in/dv6rQczZ 3. Ant: https://lnkd.in/dQgMsgef ➡️ Pipeline Tools: 1. Jenkins: https://lnkd.in/dPmA6-ff 2. TravisCI: https://lnkd.in/dxxFaK_X 3. Argo CD: https://lnkd.in/dK5eXbYi ➡️ Monitoring Tools: 1. Grafana: https://lnkd.in/dX5anVq9 2. Prometheus: https://lnkd.in/ddxjc9bV 🚀 Follow for more DevOps content, tips and tricks, and Hands-On Project Implementation. 🔵 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!!!

🐬 Docker is a software platform that allows you to build, test, and deploy applications quickly. 𝗕𝗲𝘀𝘁 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗗𝗼𝗰𝗸𝗲𝗿 ✔️ Always use a specific version for the base image for Dockerfile. ✔️Optimize your docker image by using a smaller base image. ✔️Specify the correct working directory in Dockerfile. ✔️Always use the .dockerignore fi… ✔️Copying package.json Separate from Source Code. ✔️Use non root user. ✔️Multistage build for production. ✔️Exposing port in Dockerfile. ❤️ Follow for more: @prodevopsguy

📌 https://harshhaa.hashnode.dev/real-time-devops-project-deploy-to-kubernetes-using-jenkins-end-to-end-devops-project-cicd 🔗 More DevOps Projects : HERE 🔥🔥🔥🔥🔥🔥🔥🔥 Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬 ⭐️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

📌 https://harshhaa.hashnode.dev/series/aws-for-beginners 🔗 More DevOps Blogs : HERE 🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩 Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬 ⭐️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔥Most Useful DevOps/Cloud GitHub Repositories to Learning and Become a DevOps Engineer ♾ 1️⃣. DevOps Realtime Projects (Beginner to Experienced): Link 2️⃣. Into The DevOps of Every tools: Link 3️⃣. DevOps Setup-Installations Guides: Link 4️⃣. Roadmap to learn Kubernetes so easy: Link 5️⃣. List of Best DevOps Tools with Detailed: Link 6️⃣. End to End CI/CD Pipeline Deployment on AWS EKS: Link 7️⃣. Becoming a Kubernetes Administrator Learning path: Link 8️⃣. Azure All-in-one Guide: Link 9️⃣. Terraform: Deploy an EKS Cluster-Like a Boss!: Link 1️⃣0️⃣. All In one Buddle of Kubernetes: Link 1️⃣1️⃣. Kubernetes Dashboard with integrated Health checks: Link 1️⃣2️⃣. AWS Billing Alert terraform module: Link ♥️Credits: @NotHarshhaa ✅ ❤️ Follow for more: @prodevopsguy

👉Continuous deployment as sumes that every product change or update is deployed automatically to production without any manual supervision from a DevOps engineer. 💡 Continuous Delivery: - Automates the release process. - Ensures readiness for deployment at any time. - Allows manual deployment when needed. 💡 Continuous Deployment: - Automates deployment of every successful code change. - Directly deploys to production without human intervention. - Requires high confidence in automated testing. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

☄️ Top 79 Linux commands that are commonly used in DevOps: ♾ 1. ls: List directory contents 2. cd: Change directory 3. pwd: Print working directory 4. mkdir: Create a directory 5. touch: Create a file 6. cp: Copy files and directories 7. mv: Move or rename files and directories 8. rm: Remove files and directories 9. find: Search for files and directories 10. grep: Search for patterns in files 11. cat: Concatenate and display files 12. less: View file contents page by page 13.head: Display the first lines of a file 14. tail: Display the last lines of a file 15. vi/vim: Text editor 16. nano: Text editor 17. tar: Archive and compress files 18. gzip: Compress files 19. gunzip: Decompress files 20. wget: Download files from the web 21. curl: Transfer data to or from a server 22. ssh: Secure shell remote login 23. scp: Securely copy files between hosts 24. chmod: Change file permissions 25. chown: Change file ownership 26. chgrp: Change group ownership 27. ps: Display running processes 28. top: Monitor system resources and processes 29. kill: Terminate processes 30. df: Display disk space usage 31. du: Estimate file and directory space usage 32. free: Display memory usage 33. uname: Print system information 34. ifconfig: Configure network interfaces 35. ping: Test network connectivity 36. netstat: Network statistics 37. iptables: Firewall administration 38. systemctl: Manage system services 39. journalctl: Query the system journal 40. crontab: Schedule cron jobs 41. useradd: Create a user account 42. passwd: Change user password 43. su: Switch user 44. sudo: Execute a command as another user 45. usermod: Modify user account 46. groupadd: Create a group 47. groupmod: Modify a group 48. id: Print user and group information 49. ssh-keygen: Generate SSH key pairs 50. rsync: Synchronize files and directories 51. diff: Compare files line by line 52. patch: Apply a patch to files 53. tar: Extract files from an archive 54. curl: Perform HTTP requests 55. nc: Netcat - networking utility 56. wget: Download files from the web 57. whois: Lookup domain registration details 58. dig: DNS lookup utility 59. sed: Stream editor for text manipulation 60. awk: Pattern scanning and processing language 61. sort: Sort lines in a text file 62. cut: Extract sections from lines of files 63. wc: Word, line, character, and byte count 64. tee: Redirect output to multiple files or commands 65. history: Command history 66. source: Execute commands from a file in the current shell 67. alias: Create command aliases 68. ln: Create links between files 69. uname: Print system information 70. lsof: List open files and processes 71. mkfs: Create a file system 72. mount: Mount a file system 73. umount: Unmount a file system 74. ssh-agent: Manage SSH keys in memory 75. grep: Search for patterns in files 76. tr: Translate characters 77. cut: Select portions of lines from files 78. paste: Merge lines of files 79. uniq: Report or omit repeated lines ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

☄️ Troubleshoot Application Failures with #Kubernetes! ‼️ ⚠️ Troubleshooting #Kubernetes requires a systematic approach to identify and resolve issues. By leveraging Kubernetes’ built-in tools and commands, you can diagnose most common problems. Remember to start with simple checks and progressively move to more detailed investigations to efficiently troubleshoot application failures in Kubernetes. 1. Check Pod Status: To assess the health and status of your pods within a specific namespace, use the kubectl get pods command. -> kubectl get pods -n <namespace> 2. Review Pod Logs: To review the logs of a specific pod, which can be invaluable for troubleshooting, use the kubectl logs command. -> kubectl logs <pod-name> -n <namespace> 3. Use kubectl describe: For a comprehensive overview of a pod’s configuration and events, kubectl describe is invaluable. -> kubectl describe pod <pod-name> -n <namespace> 4. Check for Resource Constraints: Resource constraints can cause pods to fail to start or run properly. Use kubectl describe nodes to identify resource allocation and availability. -> kubectl describe nodes 5. Examine Liveness and Readiness Probes: Liveness and readiness probes determine the health of a pod. Misconfigurations can cause pods to be killed or not receive traffic. Define probes in your pod or deployment YAML. 6. Debugging with kubectl exec: kubectl exec lets you execute commands inside a container, which can be useful for debugging. -> kubectl exec -it <pod-name> -- /bin/sh 7. Inspect Kubernetes Events: Kubernetes events provide insight into what’s happening in the cluster. Use kubectl get events to retrieve events. -> kubectl get events --sort-by='.metadata.creationTimestamp' -n <namespace> 8. Verify Service and Ingress Configurations: Services and Ingresses are key to exposing Kubernetes applications. Misconfigurations can lead to inaccessible services. Use kubectl get to inspect these resources. -> kubectl get svc,ingress -n <namespace> 9. Analyze Network Policies: Network Policies define how pods communicate with each other and the outside world. Use kubectl get to list active network policies. -> kubectl get networkpolicy -n <namespace> 10. Check for ImagePullBackOff Errors: ImagePullBackOff indicates Kubernetes is unable to pull a container image. Inspect the pod or describe it to see the error details. -> kubectl describe pod <pod-name> -n <namespace> 11. Utilize Kubernetes Dashboard: The Kubernetes Dashboard provides a web-based UI for managing cluster resources. Install or access it to visually inspect resources, view logs, and manage workloads. 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

💬 Ansible is an open-source automation tool used for configuration management, app deployment, and automation. It allows DevOps engineers to automate repetitive tasks such as provisioning infrastructure, deploying applications, and managing configurations across a large number of servers. Key features of Ansible: 1️⃣. Agentless architecture 2️⃣. Declarative language 3️⃣. Idempotency 4️⃣. Orchestration capabilities 5️⃣. Extensibility 😎 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

🔥 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!!!

🌐 Mastering Git commands is essential for efficient collaboration and version control in software development. 🛠 Whether you're a beginner or seasoned developer, understanding Git basics is a must! 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🔥 Basic Kubectl commands which are essential for a DevOps engineer to manage within a Kubernetes cluster. 💠 Pods: ⏩ Create a Pod: kubectl create -f pod.yaml ⏩ Get Pods: kubectl get pods ⏩ Describe Pod: kubectl describe pod <pod_name> ⏩ Logs: kubectl logs <pod_name> ⏩ Exec into Pod: kubectl exec -it <pod_name> -- <command> ⏩ Delete Pod: kubectl delete pod <pod_name> 💠 Deployments: ⏩ Create a Deployment: kubectl create -f deployment.yaml ⏩ Get Deployments: kubectl get deployments ⏩ Describe Deployment: kubectl describe deployment <deployment_name> ⏩ Scale Deployment: kubectl scale --replicas=3 deployment/<deployment_name> ⏩ Rollout Status: kubectl rollout status deployment/<deployment_name> ⏩ Rollout History: kubectl rollout history deployment/<deployment_name> 💠 Services: ⏩ Create a Service: kubectl create -f service.yaml ⏩ Get Services: kubectl get services ⏩ Describe Service: kubectl describe service <service_name> ⏩ Delete Service: kubectl delete service <service_name> 💠 ConfigMaps: ⏩ Create a ConfigMap: kubectl create configmap <configmap_name> --from-file=<file_path> ⏩ Get ConfigMaps: kubectl get configmaps ⏩ Describe ConfigMap: kubectl describe configmap <configmap_name> ⏩ Delete ConfigMap: kubectl delete configmap <configmap_name> 💠 Secrets: ⏩ Create a Secret: kubectl create secret generic <secret_name> --from-literal=<key>=<value> ⏩ Get Secrets: kubectl get secrets ⏩ Describe Secret: kubectl describe secret <secret_name> ⏩ Delete Secret: kubectl delete secret <secret_name> 💠 Nodes: ⏩ Get Nodes: kubectl get nodes ⏩ Describe Node: kubectl describe node <node_name> 💠 Namespaces: ⏩ Get Namespaces: kubectl get namespaces ⏩ Describe Namespace: kubectl describe namespace <namespace_name> 💠 PersistentVolumes (PV) and PersistentVolumeClaims (PVC): ⏩ Get PVs/PVCs: kubectl get pv / kubectl get pvc ⏩ Describe PV/PVC: kubectl describe pv <pv_name> / kubectl describe pvc <pvc_name> ⏩ Delete PV/PVC: kubectl delete pv <pv_name> / kubectl delete pvc <pvc_name> 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

📣 How do you manage different versions of 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺? Manually? There is a better way! 😎 𝗧𝗳𝘀𝘄𝗶𝘁𝗰𝗵 is a useful tool for managing Terraform versions, particularly when working with multiple projects that require different versions due to syntax changes, provider updates, or other dependencies. Here are some reasons why tfswitch is beneficial: 👉 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Different Terraform projects may require specific versions to ensure compatibility with the project's syntax, providers, or dependencies. Tfswitch enables you to switch effortlessly between these versions, ensuring that you are always using the correct Terraform version for a particular project. 👉 𝗔𝘃𝗼𝗶𝗱 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝗳𝗹𝗶𝗰𝘁𝘀: When working on multiple projects simultaneously, conflicts may arise if each project relies on a different Terraform version. Tfswitch helps prevent version conflicts by allowing you to set the appropriate version for each project independently. 👉 𝗘𝗮𝘀𝘆 𝗨𝗽𝗴𝗿𝗮𝗱𝗲𝘀: Tfswitch simplifies the process of upgrading to newer Terraform versions. With a single command, you can switch to the latest release, ensuring that you benefit from the latest features, bug fixes, and improvements. 👉 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Tfswitch can be integrated into your shell profile, allowing for automatic version detection and alias support for frequently used versions. This streamlines the process of working with Terraform and reduces the need for manual version switching. 👉 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗟𝗼𝗰𝗸𝗶𝗻𝗴: Tfswitch allows you to lock a project to a specific Terraform version by creating a .tfswitchrc file in your project's root directory. This ensures consistency when collaborating on projects and helps avoid potential issues caused by version conflicts.

Tfswitch is available only for Linux and MacOS.

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

💥 𝗔 𝘁𝗲𝘀𝘁 𝗰𝗿𝗶𝗰𝗸𝗲𝘁 𝗺𝗮𝘁𝗰𝗵 𝗶𝘀 𝘃𝗶𝗲𝘄𝗲𝗱 𝗯𝘆 𝗼𝘃𝗲𝗿 𝟯𝟬 𝗰𝗿𝗼𝗿𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 𝘄𝗶𝘁𝗵𝗶𝗻 𝟱 𝗱𝗮𝘆𝘀 𝗼𝗻 𝗷𝗶𝗼 𝗰𝗶𝗻𝗲𝗺𝗮 𝗶𝘀 𝗵𝘂𝗴𝗲, let's see how it handles such traffic. JioCinema uses two different cloud providers that include Amazon Web Services (AWS) and Google Cloud Platform (GCP). 🔣𝙇𝙤𝙖𝙙 𝙗𝙖𝙡𝙖𝙣𝙘𝙚𝙧: JioCinema uses load balancers to distribute the user traffic among multiple backend servers that ensures efficiency and no server is overloaded. 🔣𝘼𝙪𝙩𝙤𝙨𝙘𝙖𝙡𝙞𝙣𝙜 𝙜𝙧𝙤𝙪𝙥𝙨: These are implemented in such a way that if the current servers are being overloaded then new servers can be created automatically using autoscaling groups. 🔣𝘾𝙤𝙣𝙩𝙚𝙣𝙩 𝘿𝙚𝙡𝙞𝙫𝙚𝙧𝙮 𝙉𝙚𝙩𝙬𝙤𝙧𝙠 (𝘾𝘿𝙉𝙨): JioCinema uses CDNs to distribute content to its users. CDNs are distributed systems of servers that cache and deliver content to users from the closest possible edge locations. This helps to reduce latency and improves user experience. 🔣𝙈𝙞𝙘𝙧𝙤𝙨𝙚𝙧𝙫𝙞𝙘𝙚 𝙖𝙧𝙘𝙝𝙞𝙩𝙚𝙘𝙩𝙪𝙧𝙚: This approach breaks down the application into smaller and manageable components and becomes easier for scalability and maintenance. Any specific component can be scaled up or down without affecting other components. 𝙋𝙎: In this post I have only discussed how JioCinema handles such loads efficiently irrespective of how it is coded and what protocols they are using. 😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs