DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Open in Telegram
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.
16 318
Subscribers
No data24 hours
+367 days
+16630 days
Posts Archive
➡️ Here’s a small list of Kubernetes topics you will be learning vs what you will be performing in an actual job:
⭐️ Basics you will learn first by your-self / courses:
1. Kubernetes Fundamentals:
- Understanding Kubernetes architecture
- Pods, Nodes, and Clusters
- Namespaces
2. Setup and Configuration:
- Installing Minikube or Kubernetes on local machine
- Understanding kubeadm, kops, and kubectl
3. Basic Objects and Concepts:
- Deployments
- Services
- ReplicaSets
- ConfigMaps and Secrets
4. Networking:
- Cluster IP
- NodePort
- LoadBalancer
- Ingress basics
5. Storage:
- Persistent Volumes (PV)
- Persistent Volume Claims (PVC)
- Storage Classes
6. Basic Usage:
- Creating and managing pods
- Scaling applications
- Rolling updates and rollbacks
- Basic troubleshooting
7. Security:
- Role-Based Access Control (RBAC)
- Service Accounts
8. Monitoring and Logging:
- Basics of monitoring with Prometheus
- Logging with Elasticsearch, Fluentd, and Kibana (EFK stack)
9. Understanding YAML:
- Writing basic YAML files for Kubernetes objects
⏩Usual production tasks:
1. Deployments:
- Blue/Green deployments
- Canary deployments
- A/B testing
2. Networking:
- Service Meshes (Istio, Linkerd)
- Network Policies
- Advanced Ingress configurations
- CNI plugins (Calico, Flannel, Weave)
3. Storage:
- StatefulSets
- Dynamic provisioning
- CSI (Container Storage Interface)
4. Security:
- Pod Security Policies
- Network Policies
- Secrets management (Vault, Sealed Secrets)
- Image security and scanning (Trivy, Clair)
5. Advanced Configuration:
- Helm and Helm Charts
- Kustomize
- Operators and CRDs (Custom Resource Definitions)
6. Performance Tuning:
- Resource limits and requests
- Horizontal Pod Autoscaler (HPA)
- Vertical Pod Autoscaler (VPA)
- Cluster Autoscaler
7. Monitoring and Logging:
- Advanced Prometheus configuration
- Alerting with Alertmanager
- Distributed tracing (Jaeger, OpenTelemetry)
- Centralized logging
8. Cluster Management:
- Multi-cluster management
- Federation
- Backup and restore strategies
9. CI/CD Pipelines:
- Integrating CI/CD with Kubernetes (Jenkins X, Tekton)
- GitOps (ArgoCD, Flux)
10. Disaster Recovery:
- Backup and restore strategies
- High availability and failover planning
11. Scaling and Capacity Planning:
- Handling large-scale deployments
- Capacity planning and resource optimization
12. Service Catalog and Broker:
- Using the Kubernetes service catalog
- Integrating external services
13. Compliance and Auditing:
- Auditing with Kubernetes
- Ensuring compliance with regulatory requirements
14. Troubleshooting:
- Debugging complex issues
- Analyzing logs and metrics
- Using tools like k9s, kubectl-debug, and lens
15. Cost Management:
- Cost optimization strategies
- Using tools like Kubecost
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚀 Mastering GitHub Branching Strategies for DevOps Engineers 🚀
Efficient GitHub branching strategies can be a game-changer for your CI/CD pipeline and overall workflow. Let's explore some key strategies that can streamline your development process:
1. Main Branch (main/master): The production-ready branch. All code here should be stable and tested.
2. Feature Branches: Branch off from the main branch to work on new features. Keep them short-lived and merge back to main once complete and reviewed.
3. Release Branches: Create these when you're preparing a new release. They allow for final bug fixes and polishing before merging into the main branch.
4. Hotfix Branches: For urgent fixes on the production code. These branches are crucial for quick and isolated bug fixes.
5. Development Branch (develop): An optional branch that serves as an integration branch for features. This is where ongoing development happens before merging into the main branch.
6. Epic Branches: For larger projects, an epic branch can group related feature branches. It helps in managing complex development work.
✨ Tips for Success:
➡️ Regular Merging: Keep your branches updated with the main branch to avoid conflicts.
➡️ Consistent Naming: Use a naming convention for clarity (e.g.,
feature/login-page, hotfix/payment-bug).
➡️ Pull Requests (PRs): Always use PRs for merging. They facilitate code reviews and discussions.
➡️ Automated Tests: Integrate CI tools to run tests on PRs to ensure code quality.
⏩ Remember, a well-defined branching strategy can greatly enhance collaboration and code quality. Happy coding! 💻💡
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocsVersion control with 🧑💻 GIT has become an essential skill for developers.
In this post, I'll provide a quick overview of some core GIT concepts and commands.
Key concepts:
➡️ Repository - Where your project files and commit history are stored
➡️ Commit - A snapshot of changes, like a version checkpoint
➡️ Branch - A timeline of commits that lets you work on parallel versions
➡️ Merge - To combine changes from separate branches
➡️ Pull request - Propose & review changes before merging branches
Key commands:
➡️ git init - Initialize a new repo
➡️ git status - View changed files not staged for commit
➡️ git add - Stage files for commit
➡️ git commit - Commit staged snapshot
➡️ git branch - List, create, or delete branches
➡️ git checkout - Switch between branches
➡️ git merge - Join two development histories (branches)
➡️ git push/pull - Send/receive commits to remote repo
✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
+1
➡️ Hiring alert for DevOps ♾ & Azure DevOps ❤️🔥
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🔔 𝗔𝗿𝗴𝗼𝗖𝗗 𝘃𝘀. 𝗙𝗹𝘂𝘅𝗖𝗗
➡️ 𝐈𝐦𝐚𝐠𝐢𝐧𝐞 𝐲𝐨𝐮 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐚𝐬𝐬𝐞𝐦𝐛𝐥𝐞 𝐚 𝐧𝐞𝐰 𝐩𝐢𝐞𝐜𝐞 𝐨𝐟 𝐟𝐮𝐫𝐧𝐢𝐭𝐮𝐫𝐞 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐡𝐨𝐮𝐬𝐞.
In this scenario, GitOps tools are like the robot assistant that follows the blueprint (your Git repository) to ensure every piece fits perfectly.
➡️ 𝗔𝗿𝗴𝗼𝗖𝗗 and 𝗙𝗹𝘂𝘅𝗖𝗗 stand out as two of the leading GitOps tools, automating deployment to Kubernetes clusters efficiently and reliably.
But how do they differ, and which one should you choose?
➡️ 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐤𝐞𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 ↓
𝟏. 𝐒𝐞𝐜𝐫𝐞𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭
↳ ArgoCD: Relies on external tools like Sealed Secrets
↳ FluxCD: Built-in Mozilla SOPS for encrypted secrets
𝟐. 𝐇𝐞𝐥𝐦 𝐒𝐮𝐩𝐩𝐨𝐫𝐭
↳ ArgoCD: Integrates Helm within its application
↳ FluxCD: Uses Helm operator for management
𝟑. 𝐔𝐬𝐞𝐫 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞
↳ ArgoCD: Native UI with comprehensive overview
↳ FluxCD: Primarily CLI-based, can integrate with other UIs
𝟒. 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞
↳ ArgoCD: Part of broader Argo Project, with various tools
↳ FluxCD: Focuses on continuous delivery, with GitOps toolkit
𝟓. 𝐑𝐁𝐀𝐂
↳ ArgoCD: Built-in RBAC with GUI management
↳ FluxCD: Relies more on Kubernetes RBAC
𝟔. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐇𝐨𝐨𝐤𝐬
↳ ArgoCD: Robust support for pre/post synchronization hooks
↳ FluxCD: Relies on Helm for hooks outside of Helm charts
𝟕. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐢𝐧𝐠
↳ ArgoCD: Supports direct deployment templating
↳ FluxCD: Templating capabilities tied to Helm's ecosystem
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
13 𝐦𝐨𝐬𝐭 𝐜𝐨𝐦𝐦𝐨𝐧𝐥𝐲 𝐮𝐬𝐞𝐝 𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 🎯
Here are 13 of the most commonly used kubectl commands for managing a real production Kubernetes environment, along with explanations and common use cases:
✅ 𝐂𝐨𝐫𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭
#1 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐠𝐞𝐭
→
kubectl get pods (list pods)
→ kubectl get deployments (list deployments)
→ kubectl get services (list services)
→ kubectl get all (list most resources in a namespace)
#2 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞
→ kubectl describe pod my-pod
→ kubectl describe node my-node
#3 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐜𝐫𝐞𝐚𝐭𝐞
→ kubectl create -f my-deployment.yaml
#4 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐚𝐩𝐩𝐥𝐲
→ kubectl apply -f my-deployment.yaml (apply a deployment definition)
#5 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐥𝐞𝐭𝐞
→ kubectl delete pod my-pod
→ kubectl delete service my-service
✅ Debugging and Troubleshooting
#6 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐥𝐨𝐠𝐬
→ kubectl logs my-pod
→ kubectl logs my-pod -c my-container (specify a container)
#7 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐞𝐜
→ kubectl exec -it my-pod -- bash (interactive shell)
#8 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐩𝐨𝐫𝐭-𝐟𝐨𝐫𝐰𝐚𝐫𝐝
→ kubectl port-forward my-pod 8080:80
#9 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐭𝐨𝐩
→ kubectl top pod (pod resource usage)
→ kubectl top node (node resource usage)
#10 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐩𝐥𝐚𝐢𝐧
→ kubectl explain pod
→ kubectl explain pod.spec (more specific)
✅ Managing Workloads
#11 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐫𝐨𝐥𝐥𝐨𝐮𝐭
→ kubectl rollout status deployment/my-deployment
→ kubectl rollout undo deployment/my-deployment
#12 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐬𝐜𝐚𝐥𝐞
→ kubectl scale deployment/my-deployment --replicas=5
#13 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐝𝐢𝐭
→ kubectl edit deployment my-deployment
🔰 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocsDocker 🐳 Basic to Advanced Concepts 2024 🚀
➡️ https://blog.prodevopsguy.xyz/docker-basic-to-advanced-concepts-2024
🎤 Overview:
Docker has revolutionized the way we develop, ship, and run applications. It provides an open platform for developers and system administrators to build, ship, and run distributed applications on any system. This guide delves into essential Docker concepts and commands that every DevOps engineer should be familiar with. Let's dive in! ♾
📱𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🔥 DevOps Project-19: From Scratch to Production: Deploying EKS Clusters and Applications with CI/CD using Jenkins and Terraform ♾
🔗 Project Link: HERE
🔄 Project Overview :-
- Streamlining EKS Deployment and CI/CD: A Step-by-Step Guide to Automating Application Delivery with Jenkins and Terraform
- In this project, I'll take you through the process of setting up an EKS cluster, deploying an application, and creating a CI/CD pipeline using Jenkins and Terraform.
- By the end of this project, you'll have a fully functional EKS cluster and a simple containerized application up and running, with a CI/CD pipeline that automates the entire process from code to production.
❤️🔥 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
📣 Helm Commands for DevOps Engineers 🚀
Helm is a powerful package manager for Kubernetes, making it easier to deploy and manage applications. Here’s a comprehensive list of Helm commands you should know:
1. Helm Installation 🔧
helm install <release_name> <chart>
helm upgrade <release_name> <chart>
helm rollback <release_name> <revision_number>
helm uninstall <release_name>
helm repo add <repo_name> <repo_url>
helm repo update
helm list
helm search repo <keyword>
helm show values <chart>
helm template <release_name> <chart>
helm package <chart_path>
helm lint <chart_path>
helm dependency update <chart_path>
helm get all <release_name>
helm history <release_name>
helm test <release_name>
🖥 https://prodevopsguy.site/jenkins-errors-with-solutions
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
📣 Docker 🐬 basics for beginners
🖥 Let's learn how we can develop, deploy and run applications easily with Docker!
➡️If you Google Docker, you will find that Docker is a software platform that uses an OS-level virtualization to create self-contained containers.
➡️You may have created multiple Virtual Machines with Oracle VM or Vagrant before. Docker is something like that (but better, but more about that later).
➡️With Docker, we select an image (think about Docker images as recipes) and download it. Then, we create an instance of that image or container, pretty similar to a Virtual Machine.
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖱https://prodevopsguy.site/docker-basics-for-beginners
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚨 Azure DevOps Project: Configuring Kubernetes Release Pipelines for Multi-environment Deployments.
🔗 Project Link: https://www.prodevopsguy.tech/posts/azure-devops-project-create-azure-release-pipeline-to-deploy-kubernetes-workloads
➡️Project overview:
1.Release Pipelines: We made sure the team understood how release pipelines work.
2.Kubernetes Namespaces: Created separate environments (Dev, QA, Staging, Prod) for organized and secure deployments.
3.Service Connections: Set up secure service connections for each environment.
4.Release Pipeline and Artifacts: Configured a release pipeline with necessary deployment artifacts.
5.Dev Stage Deployment: Added secrets to securely pull images from Azure Container Registry in the Dev environment.
6.Manifest Updates and Testing: Updated deployment manifests and conducted thorough testing.
7.Managing Container Tags: Improved traceability by changing container tags to match source code versions.
8.Release Stages for QA, Staging, Prod: Expanded the pipeline to ensure quality code transitions through each environment stage.
⚠️ As a DevOps Engineer, This project focusing on improving our deployment processes using Kubernetes and automation.
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
💱 𝐋𝐞𝐚𝐫𝐧 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲 𝐚 𝐃𝐨𝐜𝐤𝐞𝐫 𝐈𝐦𝐚𝐠𝐞
⭐️ 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗗𝗼𝗰𝗸𝗲𝗿 𝗜𝗺𝗮𝗴𝗲:
1. Dockerfile: Create a text file with instructions to build the image.
2. Base Image: Start with a base image like Ubuntu or Alpine Linux.
3. Dependencies: Install necessary dependencies using commands like
RUN.
4. Application Code: Copy your application code into the image.
5. Ports: Expose any necessary ports with EXPOSE.
6. Build: Run docker build command to build the image.
⭐️ 𝗗𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗮 𝗗𝗼𝗰𝗸𝗲𝗿 𝗜𝗺𝗮𝗴𝗲:
1. Docker Registry: Store your built images in a Docker registry like Docker Hub.
2. Docker Compose: Define services, networks, and volumes in a docker•compose.yml file.
3. Deploy: Run docker•compose up to deploy your application.
⭐️ 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀:
• Keep images small by minimizing layers and dependencies.
• Use .dockerignore to exclude unnecessary files.
• Regularly update base images and dependencies for security patches.
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocsAPI Gateway vs Load Balancer 🚀
Understanding the difference between an API Gateway and a Load Balancer is crucial for optimizing our web architecture. Here's a quick breakdown:
➡️𝐀𝐏𝐈 𝐆𝐚𝐭𝐞𝐰𝐚𝐲
- Acts as a single entry point for client requests.
- Handles API request routing, composition, and protocol translation.
- Enhances security by managing authentication, rate limiting, and SSL termination.
- Ideal for microservices architectures, offering requests/response transformation and traffic management features.
➡️𝐋𝐨𝐚𝐝 𝐁𝐚𝐥𝐚𝐧𝐜𝐞𝐫
- Distributes incoming network traffic across multiple servers.
- Ensures high availability and reliability by balancing the load.
- Typically used to scale out web applications and manage traffic spikes.
- Great for evenly distributing client requests and minimizing server overload.
🤝 Repost if you find this helpful.
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
⚙️ DevOps Tools for Each Phase of the DevOps Life Cycle ♾
🔢. Continuous Development (CD)
Jira: Agile project management tool aiding project management, workflows, and bug tracking.
Git: Open-source version control system facilitating collaboration and nonlinear workflows. GitHub extends its collaborative features.
🔢. Continuous Integration (CI) and Continuous Delivery (CD)
Jenkins: Java-based, open-source tool supporting CI and CD with customizable workflows, easy installation, and numerous plugins.
🔢. Continuous Testing
Selenium: Open-source automated testing framework supporting web app automation across multiple browsers and OS.
Bamboo: Server-based tool tightly integrated with Jira, excelling in complex build plans and parallel testing.
🔢. Continuous Deployment
Docker (container management): Packages and executes distributed apps, encouraging collaboration via Docker Hub.
Ansible (configuration management): Automates configuration management and infrastructure orchestration.
🔢. Continuous Feedback
Jira Service Management: Centralizes feedback from diverse sources for improved communication.
Parlor: Engages with users to collect real-time contextual insights, integrating with various business tools.
🔢. Continuous Monitoring
Prometheus: Open-source performance monitoring database enabling robust reporting and visualization.
🔢. Continuous Operation
Opsgenie: Manages incidents, predicts and resolves service disruptions, integrates with various monitoring and communication tools, ensuring appropriate notifications and automated escalations for critical issues.
🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
✅ https://prodevopsguy.tech/posts/common-ansible-errors-and-their-solutions-for-devops-engineer/
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚀 Unlock the Power of Azure DevOps! 🌐
Are you ready to streamline your software development and delivery process? Look no further than Azure DevOps! Here’s why it's the ultimate tool for your team:
🔧 Comprehensive Toolset
Plan, develop, test, and deliver your software all in one place. With Azure DevOps, you get a full suite of services including Azure Boards, Azure Repos, Azure Pipelines, Azure Test Plans, and Azure Artifacts.
💡 Innovative Pipelines
Automate your CI/CD pipelines for faster, more reliable deployments. Use Azure Pipelines to build, test, and deploy your code to any platform and cloud.
🛠 Powerful Integrations
Seamlessly connect with popular tools like GitHub, Docker, and Kubernetes. Azure DevOps integrates with hundreds of tools from the DevOps ecosystem, so you can work with the tools you love.
📊 Real-Time Insights
Monitor your progress and performance with advanced analytics. Gain visibility into your entire DevOps process with built-in dashboards and customizable reports.
🔒 Enhanced Security
Protect your code and workflows with industry-leading security practices. Azure DevOps offers robust security features including identity management, access controls, and compliance certifications.
🤝 Collaborative Workspaces
Foster team collaboration with integrated boards, repos, and chat. Use Azure Boards to plan and track work, Azure Repos for source control, and Azure DevOps Services for end-to-end traceability.
Ready to revolutionize your DevOps journey? 🌟 Start your free trial today and experience the future of development with Azure DevOps!
🔗 Get Started Now!
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
1️⃣. Tutorial for Kubernetes
🌐 Introduction to Kubernetes
➡️https://lnkd.in/gz4-zvdC
🌐 Kubernetes tutorials: Hands-on labs with certification
➡️https://lnkd.in/g_2SVjvs
🌐 Networking with Kubernetes | Basics of Kubernetes Networking
➡️https://lnkd.in/gb7UpM6N
🌐 Kubernetes Full Course | Kubernetes Architecture
➡️https://lnkd.in/g8NATDPQ
🌐 what is Kubernetes (playlist)
➡️https://lnkd.in/gACGJzAq
🌐 Docker Containers and Kubernetes Fundamentals - Full Hands-On Course
➡️https://lnkd.in/gwtEN6hS
🌐 Kubernetes for Beginner
➡️https://lnkd.in/gdYZ4bgQ
🌐 Kubernetes Tutorial for Beginners
➡️https://lnkd.in/duGZwHYX
🌐 Kubernetes Tutorial For Beginners - Learn Kubernetes
➡️ https://lnkd.in/gmjRkGSJ
🌐 Kubernetes Full Course
➡️https://lnkd.in/gqr2nzYT
🌐 Kubernetes Course - Full Beginners Tutorial
➡️ https://lnkd.in/de84ESNv
🌐 Kubernetes Tutorial For Beginners
➡️https://lnkd.in/gSRYYGPG
2️⃣. Labs
1. Kubernetes Hands-on Lab #1 – Setting up 5-Node K8s Cluster
2. Kubernetes Hands-on Lab #2 – Running Our First Nginx Cluster
3. Kubernetes Hands-on Lab #3 –
🌐 Deploy Istio Mesh on K8s Cluster
➡️ https://lnkd.in/gpB4DNs6
🌐 Kubernetes 101 workshop - complete hands-on
➡️https://lnkd.in/gUCeEjFF
🌐 Build a Kubernetes Home Lab from Scratch step-by-step!
➡️https://lnkd.in/gM-kRUEh
🌐 Kubernetes Hands on
➡️https://lnkd.in/guhw9iKa
🌐 Hands-on with Kubernetes on Cloud
➡️ https://lnkd.in/gTcKi2Fq
🌐 Kubernetes Project for beginners
https://lnkd.in/gSc2KDAb
3️⃣. Book
🌐 https://lnkd.in/gM7ts9XC
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🛠 Implementation of the Entire Advanced CI/CD Pipeline with Major DevOps Tools 🛠
➡️ Project Link : HERE
💥 Included Step by Step procedure
💥 Easy Understanding guide
💥 Used DevOps advanced Tools
💥 Each & Every Commands used in project are Included
💥 Tools used in Project :
✅ Jenkins
✅ Docker
✅ Kubernetes
✅ Ansible
✅ Terraform
✅ Prometeous
✅ Maven
✅ AWS
✅ SonarQube
✅ SonarCloud
✅ JFrog
Hit the Star! 🌟 & Follow me on GitHub for more like this
If you are planning to use this repo for learning, please hit the star.
❤️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
