DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com • We post Daily Trending DevOps/Cloud content • All DevOps related Code & Scripts uploaded • DevOps/Cloud Job Related Posts • Real-time Interview questions & preparation guides
Show more📈 Analytical overview of Telegram channel DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Channel DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning (@prodevopsguy) in the English language segment is an active participant. Currently, the community unites 16 318 subscribers, ranking 7 977 in the Technologies & Applications category and 25 792 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 16 318 subscribers.
According to the latest data from 07 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 166 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as devops, docker, terraform, kubernete, git.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com
• We post Daily Trending DevOps/Cloud content
• All DevOps related Code & Scripts uploaded
• DevOps/Cloud Job Related Posts
• Real-time Interview questions & preparation guid...”
Thanks to the high frequency of updates (latest data received on 08 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
In This Project, we are Developing and Deploying a video streaming application on EC2 using Docker and AWS Developers Tools.➡️CodeCommit: For Source Code Management ➡️CodeBuild: For building and testing our code in a serverless fashion ➡️CodeDeploy: To deploy our code ➡️CodePipeline: To streamline the CI/CD pipeline ➡️System Manager: To store Parameters ➡️DockerHub: To store Docker Images in a Repository ➡️Identity and Access Management (IAM) for creating a Service Role ➡️S3 for artifact storing ➡️EC2 for Deployment ❤️🔥 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
Don't miss out on this opportunity to enhance your knowledge.✅ Visit KodeKloud Free Labs now! - https://kodekloud.com/free-labs 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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