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 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: @devopsdocs# Install Azure CLI
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
# Login to Azure
az login
# Set default subscription
az account set --subscription <subscription-id>
📌 Resource Groups:
# List resource groups
az group list
# Create resource group
az group create --name <resource-group-name> --location <location>
# Delete resource group
az group delete --name <resource-group-name> --yes --no-wait
📌 VM Management:
# List VMs
az vm list
# Create VM
az vm create --resource-group <resource-group-name> --name <vm-name> --image <image> --admin-username <username> --admin-password <password>
# Start VM
az vm start --resource-group <resource-group-name> --name <vm-name>
# Stop VM
az vm stop --resource-group <resource-group-name> --name <vm-name>
📌 Storage Accounts:
# List storage accounts
az storage account list
# Create storage account
az storage account create --name <account-name> --resource-group <resource-group-name> --location <location> --sku <sku>
# Delete storage account
az storage account delete --name <account-name> --resource-group <resource-group-name>
📌 Azure Kubernetes Service (AKS):
# List AKS clusters
az aks list
# Create AKS cluster
az aks create --resource-group <resource-group-name> --name <cluster-name> --node-count <node-count> --enable-addons monitoring --generate-ssh-keys
# Get AKS credentials
az aks get-credentials --resource-group <resource-group-name> --name <cluster-name>
📌 App Services:
# List App Services
az webapp list
# Create App Service
az webapp create --resource-group <resource-group-name> --plan <app-service-plan> --name <app-name> --runtime <runtime>
# Delete App Service
az webapp delete --resource-group <resource-group-name> --name <app-name>
📌 Azure DevOps:
# List Azure DevOps organizations
az devops organization list
# Create Azure DevOps project
az devops project create --name <project-name> --organization <organization-url>
# List Azure DevOps pipelines
az pipelines list --organization <organization-url> --project <project-name>
# Run Azure DevOps pipeline
az pipelines run --name <pipeline-name> --organization <organization-url> --project <project-name>
📌 Azure Monitor:
# List monitor activity logs
az monitor activity-log list
# Create alert rule
az monitor metrics alert create --name <alert-name> --resource-group <resource-group-name> --scopes <resource-id> --condition "<condition>" --action <action-group-id>
🔗 For more detailed commands and options, refer to the Azure CLI Command Reference
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocsterraform init: Initializes a working directory containing Terraform configuration files.
2. terraform plan: Generates an execution plan, outlining actions Terraform will take.
3. terraform apply: Applies the changes described in the Terraform configuration.
4. terraform destroy: Destroys all resources described in the Terraform configuration.
5. terraform validate: Checks the syntax and validity of Terraform configuration files.
6. terraform refresh: Updates the state file against real resources in the provider.
7. terraform output: Displays the output values from the Terraform state.
8. terraform state list: Lists resources within the Terraform state.
9. terraform show: Displays a human-readable output of the current state or a specific resource's state.
10. terraform import: Imports existing infrastructure into Terraform state.
11. terraform fmt: Rewrites Terraform configuration files to a canonical format.
12. terraform graph: Generates a visual representation of the Terraform dependency graph.
13. terraform providers: Prints a tree of the providers used in the configuration.
14. terraform workspace list: Lists available workspaces.
15. terraform workspace select: Switches to another existing workspace.
16. terraform workspace new: Creates a new workspace.
17. terraform workspace delete: Deletes an existing workspace.
18. terraform output: Retrieves output values from a module.
19. terraform state mv: Moves an item in the state.
20. terraform state pull: Pulls the state from a remote backend.
21. terraform state push: Pushes the state to a remote backend.
22. terraform state rm: Removes items from the state.
23. terraform taint: Manually marks a resource for recreation.
24. terraform untaint: Removes the 'tainted' state from a resource.
25. terraform login: Saves credentials for Terraform Cloud.
26. terraform logout: Removes credentials for Terraform Cloud.
27. terraform force-unlock: Releases a locked state.
28. terraform import: Imports existing infrastructure into your Terraform state.
29. terraform plan -out: Saves the generated plan to a file.
30. terraform apply -auto-approve: Automatically applies changes without requiring approval.
31. terraform apply -target=resource: Applies changes only to a specific resource.
32. terraform destroy -target=resource: Destroys a specific resource.
33. terraform apply -var="key=value": Sets a variable's value directly in the command line.
34. terraform apply -var-file=filename.tfvars: Specifies a file containing variable definitions.
35. terraform apply -var-file=filename.auto.tfvars: Automatically loads variables from a file.
🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!gcloud commands! Here's a handy reference to help you streamline your DevOps workflows. 📑
🌟 Setup & Configuration
1. Initialize GCP SDK:
gcloud init
2. Authenticate to GCP:
gcloud auth login
3. Set Default Project:
gcloud config set project [PROJECT_ID]
🖥 Compute Engine
1. List VM Instances:
gcloud compute instances list
2. Create a New VM:
gcloud compute instances create [INSTANCE_NAME] --zone=[ZONE]
3. Start/Stop/Delete VM:
gcloud compute instances start [INSTANCE_NAME] --zone=[ZONE]
gcloud compute instances stop [INSTANCE_NAME] --zone=[ZONE]
gcloud compute instances delete [INSTANCE_NAME] --zone=[ZONE]
📦 Kubernetes Engine
1. Get Credentials for Cluster:
gcloud container clusters get-credentials [CLUSTER_NAME] --zone=[ZONE]
2. List GKE Clusters:
gcloud container clusters list
3. Create/Delete GKE Cluster:
gcloud container clusters create [CLUSTER_NAME] --zone=[ZONE]
gcloud container clusters delete [CLUSTER_NAME] --zone=[ZONE]
🗂 Cloud Storage
1. List Buckets:
gcloud storage ls
2. Create/Delete Bucket:
gcloud storage buckets create gs://[BUCKET_NAME]
gcloud storage buckets delete gs://[BUCKET_NAME]
3. Upload/Download Files:
gcloud storage cp [LOCAL_PATH] gs://[BUCKET_NAME]/[OBJECT_NAME]
gcloud storage cp gs://[BUCKET_NAME]/[OBJECT_NAME] [LOCAL_PATH]
🗄 BigQuery
1. List Datasets:
gcloud bigquery datasets list
2. Create/Delete Dataset:
gcloud bigquery datasets create [DATASET_NAME]
gcloud bigquery datasets delete [DATASET_NAME]
3. Run Query:
gcloud bigquery query "SELECT * FROM `[PROJECT_ID].[DATASET].[TABLE]` LIMIT 10"
🛠 Deployment Manager
1. List Deployments:
gcloud deployment-manager deployments list
2. Create/Delete Deployment:
gcloud deployment-manager deployments create [DEPLOYMENT_NAME] --config [CONFIG_FILE]
gcloud deployment-manager deployments delete [DEPLOYMENT_NAME]
🔒 IAM & Security
1. List Service Accounts:
gcloud iam service-accounts list
2. Create/Delete Service Account:
gcloud iam service-accounts create [ACCOUNT_NAME]
gcloud iam service-accounts delete [ACCOUNT_NAME]@[PROJECT_ID].iam.gserviceaccount.com
🗃 Cloud SQL
1. List Instances:
gcloud sql instances list
2. Create/Delete SQL Instance:
gcloud sql instances create [INSTANCE_NAME] --tier=db-n1-standard-1 --region=[REGION]
gcloud sql instances delete [INSTANCE_NAME]
Keep these commands handy to master Google Cloud like a pro! 🌟
Stay tuned for more DevOps tips and tricks. 🚀
✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocsRemember to tailor your resume to the specific job you're applying for, emphasizing relevant skills and achievements. Good luck with your job search! 😊➡️References: 1. Fresher DevOps Engineer Resume Example - TealHQ 2. 9 DevOps Resume Samples Built for 2024 - BeamJobs 3. DevOps Engineer Resume Examples and Template for 2024 4. How to Write a DevOps Engineer Resume (Step-by-Step With Examples) 5. 15 DevOps Resume Examples for 2024 | Resume Worded ➡️Reference links: [1] [2] [3] [4] [5] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🎯 Whether you're a beginner or looking to upskill, this roadmap has everything you need.📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Remember, becoming a DevOps Engineer is an ongoing journey. Stay curious, keep learning, and embrace new technologies and practices as they emerge. Engage in open-source projects, attend conferences, and connect with fellow professionals to expand your network and stay up-to-date.🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
