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.
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𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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🛠️ 50 Jenkins Errors and with their Solution In Detailed 📑
🖥 https://prodevopsguy.site/jenkins-errors-with-solutions
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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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>
Install a Helm chart.
2. Helm Upgrade
helm upgrade <release_name> <chart>
Upgrade a release to a new version of the chart.
3. Helm Rollback
helm rollback <release_name> <revision_number>
Rollback a release to a previous revision.
4. Helm Uninstall
helm uninstall <release_name>
Uninstall a Helm release.
5. Helm Repo Add
helm repo add <repo_name> <repo_url>
Add a new Helm repository.
6. Helm Repo Update
helm repo update
Update the Helm repository information.
7. Helm List
helm list
List all installed Helm releases.
8. Helm Search Repo
helm search repo <keyword>
Search for charts in the repositories.
9. Helm Show Values
helm show values <chart>
Show the default values of a chart.
10. Helm Template
helm template <release_name> <chart>
Render chart templates locally and display the output.
11. Helm Package
helm package <chart_path>
Package a chart into a versioned chart archive file.
12. Helm Lint
helm lint <chart_path>
Run a series of tests to verify the chart is well-formed.
13. Helm Dependency Update
helm dependency update <chart_path>
Update dependencies for a chart.
14. Helm Get All
helm get all <release_name>
Get all information about a release.
15. Helm History
helm history <release_name>
Fetch release history.
16. Helm Test
helm test <release_name>
Run tests for a release.
Stay efficient and streamline your Kubernetes deployments with these Helm commands!
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- 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.
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Docker 🐳 Basic to Advanced Concepts 2024 🚀
Comprehensive Guide to Docker Concepts 🚀🐳
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...
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...
Docker 🐳 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
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!
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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
→
→
→
→
#2 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞
→
→
#3 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐜𝐫𝐞𝐚𝐭𝐞
→ kubectl create -f my-deployment.yaml
#4 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐚𝐩𝐩𝐥𝐲
→
#5 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐥𝐞𝐭𝐞
→
→
✅ Debugging and Troubleshooting
#6 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐥𝐨𝐠𝐬
→
→
#7 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐞𝐜
→
#8 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐩𝐨𝐫𝐭-𝐟𝐨𝐫𝐰𝐚𝐫𝐝
→
#9 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐭𝐨𝐩
→
→
#10 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐩𝐥𝐚𝐢𝐧
→
→
✅ Managing Workloads
#11 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐫𝐨𝐥𝐥𝐨𝐮𝐭
→
→
#12 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐬𝐜𝐚𝐥𝐞
→
#13 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐝𝐢𝐭
→
⚡️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Here are 13 of the most commonly used kubectl commands for managing a real production Kubernetes environment, along with explanations and common use cases:
#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#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)#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
→
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In this scenario, GitOps tools are like the robot assistant that follows the blueprint (your Git repository) to ensure every piece fits perfectly.
But how do they differ, and which one should you choose?
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
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Version 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!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
In this post, I'll provide a quick overview of some core GIT concepts and commands.
Key concepts:
Key commands:
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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.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Photo
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
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
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- 40% Scripting automation
- 30% Cloud deployments
- 20% Monitoring and optimizing
- 10% Team collaboration
- 20% Scripting automation
- 25% Cloud deployments
- 15% Monitoring and optimizing
- 40% Team collaboration
- 65.73% Debating on the infra/tool choices
- On-demand support
- Many alignment meetings
- Managing system incidents
- Balancing cost-efficiency
- Technical review sessions
- Cross-department collaboration
- Defending infrastructure choices
- Implementing stakeholder feedback
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While CICD gets thrown around a lot, it actually refers to two separate practices that work together in the software development lifecycle: Continuous Integration (CI) and Continuous Delivery/Deployment (CD).
Here's a quick breakdown:
Here's the key difference:
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