Coding Template
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👨🏽‍💻Admin: @darkman55
Crée le 11/03/2024
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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.


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📢 Kubernetes All End-to-End Content 2024

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- All Kubernetes Content
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- Detailed Explanation guide
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- Added Certified Kubernetes Administrator (CKA) Notes
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📱 Link: https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/kubernetes


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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).
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📢 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.

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