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
显示更多📈 Telegram 频道 DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning 的分析概览
频道 DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning (@prodevopsguy) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 16 318 名订阅者,在 技术与应用 类别中位列第 7 977,并在 印度 地区排名第 25 792 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 16 318 名订阅者。
根据 07 七月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 166,过去 24 小时变化为 0,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 0%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 0。
- 主题关注点: 内容集中在 devops, docker, terraform, kubernete, git 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“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...”
凭借高频更新(最新数据采集于 08 七月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
Making Docker images smaller isn’t hard, and it’s worth it.
Faster builds, quicker deployments, and less storage needed. Give it a try!📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
The diagram above illustrates the typical workflow.➡️Step 1: The process starts with a product owner creating user stories based on requirements. ➡️Step 2: The dev team picks up the user stories from the backlog and puts them into a sprint for a two-week dev cycle. ➡️Step 3: The developers commit source code into the code repository Git. ➡️Step 4: A build is triggered in Jenkins. The source code must pass unit tests, code coverage threshold, and gates in SonarQube. ➡️Step 5: Once the build is successful, the build is stored in artifactory. Then the build is deployed into the dev environment. ➡️Step 6: There might be multiple dev teams working on different features. The features need to be tested independently, so they are deployed to QA1 and QA2. ➡️Step 7: The QA team picks up the new QA environments and performs QA testing, regression testing, and performance testing. ➡️Steps 8: Once the QA builds pass the QA team’s verification, they are deployed to the UAT environment. ➡️Step 9: If the UAT testing is successful, the builds become release candidates and will be deployed to the production environment on schedule. ➡️Step 10: SRE (Site Reliability Engineering) team is responsible for prod monitoring. 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
A Kubernetes End-to-End (E2E) project for deploying a 2048 game app on Amazon Elastic Kubernetes Service (EKS) involves setting up, deploying, and managing the popular 2048 game application on a Kubernetes cluster running on AWS EKS. This project aims to demonstrate how to containerize a web application, deploy it on EKS, manage the cluster, and expose the application to users.🌐 Follow me on GitHub: https://www.github.com/NotHarshhaa 🌐𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
