Bonjour à tous,

L’équipe de Darkman souhaite promouvoir ses différentes chaînes et s'engager dans des collaborations bénéfiques pour ses abonnés. Pour cela, nous avons besoin de votre soutien.

Nous vous invitons à faire un don, même symbolique, de 1€ ou 100 XAF. Chaque contribution compte et sera grandement appréciée.

Les moyens de paiement disponibles incluent PayPal, carte bancaire, Orange Money et MOMO

Cliquez sur le lien pour soutenir notre initiative :

[https://faro.ink/AFAIfE]

Merci pour votre aide précieuse.

Ceux qui effectuent un Don et aimeraient bénéficier d’une pub en retour je suis là @darkman55 🙏🏽🙏🏽

Merci à tout ceux qui sont entrain de participer 🙏🏽

🚀 𝟖 𝐒𝐓𝐄𝐏𝐒 𝐓𝐎 𝐁𝐄𝐂𝐎𝐌𝐄 𝐀 𝐃𝐄𝐕𝐎𝐏𝐒 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑 𝐢𝐧 𝟐𝟎𝟐𝟰 🚀

DevOps is a rapidly growing field that combines software development and operations, enabling organizations to deliver high-quality software at a faster pace. So, let's explore the key skills you need to master on your journey to becoming a DevOps Engineer:

✅Step 1 - Learn networking basics

✅Step 2 - Learn Linux

✅Step 3 - Learn Cloud:
Cloud platforms like AWS, Azure, and GCP are revolutionizing the IT landscape.

✅Step 4 - Learn Infrastructure as Code (IAC)

✅Step 5 - Learn CI/CD

✅Step 6 - Learn Docker & Kubernetes

✅Step 7 - Learn Monitoring Tools

✅Step 8 - Learn Programming

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 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔧 Kubernetes Commands for DevOps Engineers 🚀


Here’s a handy list of essential Kubernetes commands to streamline your workflow and boost your productivity. Save this post for quick reference! 📌


🔹 Cluster Management:

# 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>

60 Terms & Services which every DevOps ♾ Engineer should be aware of:

1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰

📢 Kubernetes All End-to-End Content 2024

▶️ This Includes:
- All Kubernetes Content
- Kubernetes Realtime scenarios
- All Kubernetes Exercises with solutions
- No More AWS PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Kubernetes Tricks & Techniques for DevOps guy
- Added Certified Kubernetes Administrator (CKA) Notes
- All Kubernetes Realtime examples included

📱 Link: https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/kubernetes


📱 𝐅𝐨𝐥𝐥𝐨𝐰

Formation python 2024 disponible je vous partage la description

DESCRIPTION Cette formation est entièrement réalisée avec la version 3 de Python et régulièrement mise à jour. Avec cette formation vous allez :     Apprendre Python dans le détail.     Apprendre des concepts avancés comme la programmation orientée objet et les environnements virtuels.     Utiliser Python pour réaliser différents types de projets (jeux, sites web, applications de bureau, scripts d'automatisation, bot Discord...).     Découvrir les bonnes pratiques pour coder comme un professionnel (avec notamment les tests unitaires, les conventions à suivre, l'organisation et la documentation du code). Cette formation inclut les toutes dernières nouveautés du langage comme les f-string, la nouvelle syntaxe de l'orienté objet et les derniers opérateurs de Python 3.10. Cette formation est parfaite pour les débutants complets en programmation ainsi que pour les développeurs qui souhaitent se familiariser avec le langage Python. C'est une formation complète pour devenir développeur : on va voir toute la théorie du langage et comment utiliser Python pour créer des projets professionnels ! On ne va donc pas s'arrêter à la théorie, et tu auras énormément d'exercices, de quiz et de projets pour tester tes connaissances et les mettre en pratique (plus de 800 questions de quiz, dont 2 examens complets de 100 questions à la fin des 2 premières parties).

📢 DevOps Real World Projects for Aspiring DevOps Engineers [Beginner to Advanced]


📱 REPO LINK: https://github.com/NotHarshhaa/DevOps-Projects

⭐️ Repository Contents for DevOps Projects from Beginner to Advanced Levels
The repository contains hands-on DevOps projects suitable for individuals at various skill levels, ranging from beginner to advanced.

⭐️ Integration of DevOps Technology with Other Technologies
Projects in this repository showcase the integration of DevOps practices with other cutting-edge technologies such as Machine Learning, Git, GitHub, etc.

⭐️ Project Scope
The projects included cover a wide array of topics within the DevOps domain, providing practical experience and insights into real-world scenarios.

⭐️ Why Explore This Repository?
Whether you're new to DevOps or looking to enhance your skills, this repository offers valuable resources and projects to help you learn and grow in the field.

🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩

❤️ 𝐅𝐨𝐥𝐥𝐨𝐰