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。
# Check Docker version
docker --version
# Display Docker system information
docker info
# List all Docker commands
docker --help
🔹 Images:
# List all images
docker images
# Search for an image on Docker Hub
docker search <image-name>
# Pull an image from Docker Hub
docker pull <image-name>
# Build an image from a Dockerfile
docker build -t <image-name>:<tag> .
# Remove an image
docker rmi <image-id>
🔹 Containers:
# List all running containers
docker ps
# List all containers (including stopped ones)
docker ps -a
# Start a container
docker start <container-id>
# Stop a container
docker stop <container-id>
# Restart a container
docker restart <container-id>
# Remove a container
docker rm <container-id>
# Run a container
docker run -d --name <container-name> <image-name>
# Run a container with a specific port mapping
docker run -d -p <host-port>:<container-port> <image-name>
# Run a container with a volume
docker run -d -v <host-dir>:<container-dir> <image-name>
# Attach to a running container
docker attach <container-id>
🔹 Container Inspection & Logs:
# View logs of a container
docker logs <container-id>
# Follow logs of a container
docker logs -f <container-id>
# Inspect a container
docker inspect <container-id>
# View resource usage statistics of a container
docker stats <container-id>
🔹 Networks:
# List all networks
docker network ls
# Create a network
docker network create <network-name>
# Connect a container to a network
docker network connect <network-name> <container-id>
# Disconnect a container from a network
docker network disconnect <network-name> <container-id>
# Inspect a network
docker network inspect <network-name>
# Remove a network
docker network rm <network-name>
🔹 Volumes:
# List all volumes
docker volume ls
# Create a volume
docker volume create <volume-name>
# Inspect a volume
docker volume inspect <volume-name>
# Remove a volume
docker volume rm <volume-name>
🔹 Docker Compose:
# Start services defined in docker-compose.yml
docker-compose up
# Start services in detached mode
docker-compose up -d
# Stop services
docker-compose down
# View running services
docker-compose ps
# Build or rebuild services
docker-compose build
# View logs of services
docker-compose logs
🔹 Docker Cleanup:
# Remove all stopped containers
docker container prune
# Remove all unused images
docker image prune
# Remove all unused volumes
docker volume prune
# Remove all unused networks
docker network prune
Keep this list handy and make container management a breeze! Happy Dockering! 🎉
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs# Check cluster info
kubectl cluster-info
# Get all nodes
kubectl get nodes
# Describe a node
kubectl describe node <node-name>
# Check cluster health
kubectl get componentstatuses
🔹 Namespaces:
# List all namespaces
kubectl get namespaces
# Create a namespace
kubectl create namespace <namespace-name>
# Delete a namespace
kubectl delete namespace <namespace-name>
🔹 Pods:
# List all pods in the default namespace
kubectl get pods
# List pods in a specific namespace
kubectl get pods -n <namespace>
# Describe a pod
kubectl describe pod <pod-name>
# Delete a pod
kubectl delete pod <pod-name>
🔹 Deployments:
# List all deployments
kubectl get deployments
# Create a deployment
kubectl create deployment <deployment-name> --image=<image-name>
# Update a deployment
kubectl set image deployment/<deployment-name> <container-name>=<new-image>
# Scale a deployment
kubectl scale deployment <deployment-name> --replicas=<number>
# Delete a deployment
kubectl delete deployment <deployment-name>
🔹 Services:
# List all services
kubectl get services
# Create a service
kubectl expose deployment <deployment-name> --type=<type> --port=<port>
# Describe a service
kubectl describe service <service-name>
# Delete a service
kubectl delete service <service-name>
🔹 ConfigMaps & Secrets:
# List all ConfigMaps
kubectl get configmaps
# Create a ConfigMap
kubectl create configmap <configmap-name> --from-literal=<key>=<value>
# List all Secrets
kubectl get secrets
# Create a Secret
kubectl create secret generic <secret-name> --from-literal=<key>=<value>
🔹 Persistent Volumes & Claims:
# List all persistent volumes
kubectl get pv
# List all persistent volume claims
kubectl get pvc
# Create a persistent volume
kubectl apply -f <persistent-volume-definition>.yaml
# Create a persistent volume claim
kubectl apply -f <persistent-volume-claim-definition>.yaml
🔹 Logs & Monitoring:
# View logs of a pod
kubectl logs <pod-name>
# View logs of a specific container in a pod
kubectl logs <pod-name> -c <container-name>
# Stream logs of a pod
kubectl logs -f <pod-name>
🔹 Troubleshooting:
# Get events
kubectl get events
# Describe a resource
kubectl describe <resource-type> <resource-name>
# Exec into a pod
kubectl exec -it <pod-name> -- /bin/bash
🔹 Custom Resources:
# List custom resource definitions
kubectl get crd
# Describe a custom resource
kubectl describe crd <custom-resource-name>
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocsIf you're looking to level up your DevOps skills or explore AWS automation, this one's for you! 🙌
All these steps are automated to minimize manual errors and speed up the process.🌐 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
docker --version: Check Docker version.
- docker info: Get system-wide information.
- docker help: Get help with Docker commands.
📌 Container Lifecycle:
- docker run [OPTIONS] IMAGE [COMMAND] [ARG...]: Run a container.
- docker ps: List running containers.
- docker ps -a: List all containers.
- docker stop CONTAINER: Stop a running container.
- docker start CONTAINER: Start a stopped container.
- docker restart CONTAINER: Restart a container.
- docker rm CONTAINER: Remove a container.
- docker kill CONTAINER: Kill a running container.
📌 Images:
- docker images: List images.
- docker pull IMAGE: Pull an image from a registry.
- docker build -t TAG .: Build an image from a Dockerfile.
- docker rmi IMAGE: Remove an image.
📌 Networking:
- docker network ls: List networks.
- docker network create NETWORK: Create a network.
- docker network connect NETWORK CONTAINER: Connect a container to a network.
- docker network disconnect NETWORK CONTAINER: Disconnect a container from a network.
📌 Volumes:
- docker volume ls: List volumes.
- docker volume create VOLUME: Create a volume.
- docker volume rm VOLUME: Remove a volume.
📌 Docker Compose:
- docker-compose up: Start services defined in a Compose file.
- docker-compose down: Stop services defined in a Compose file.
- docker-compose build: Build or rebuild services.
- docker-compose logs: View output from services.
📌 Inspect & Logs:
- docker inspect CONTAINER/IMAGE: Display detailed information.
- docker logs CONTAINER: Fetch the logs of a container.
- docker exec -it CONTAINER bash: Access a running container.
Stay efficient and automate smartly! 💪
⚡️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs📢 Don’t forget to share your thoughts in the comments. Let’s build better software together!
