DevOps Learning Path for Beginners 👇

Learn Now: [ Ссылка ]

For individuals starting out, having proficiency in the following areas is recommended:

1. Version Control:
- Git: Focus on mastering basic commands, branching and merging, collaboration, conflict resolution, version tagging

2. Linux Administration:
- Understand system architecture, command-line basics, file management, user administration, permissions, and shell scripting

3. Programming:
- Python and Go are recommended; beginners should focus on mastering the language syntax, data structures, control flow, functions, libraries

4. Databases:
- Learn SQL/NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and master data modeling, querying, indexing, transactions, and database management for efficient data storage and retrieval

5. Networking:
- Grasp essential concepts like IP addressing, subnetting, firewalls, routing, TCP/IP protocols, network topologies, Load balancers, VPNs and security to manage and troubleshoot network infrastructure

6. Continuous Integration & Continuous Deployment (CI/CD):
- Learn automating the build and deployment pipelines, version control integration, testing automation, containerization, and monitoring
- Popular tools: Jenkins, GitHub Actions, GitLab CI, and CircleCI

7. Containerization:
- Docker: Containerization for portable app packaging
- Kubernetes: Container orchestration for scaling apps
- Helm: Kubernetes package manager for streamlined deployments

8. Cloud Platforms:
- Get Familiar with AWS, Azure, GCP, and their services

9. Infrastructure as Code (IaC)
- Terraform: Learn Terraform's HCL for efficient, automated cloud infrastructure provisioning

10. Software Configuration Management:
- Ansible: Focus on writing YAML playbooks, understanding modules and roles, and automating server and configuration management efficiently

11. Monitoring & Logging:
- Prometheus: Learn defining metrics, data scraping, alert rule setup, and data visualization for monitoring and troubleshooting
- Grafana: Get familiar with creating interactive dashboards, connecting data sources, configuring visualizations, and setting up alerts. More often used with Prometheus.
- ELK Stack: Master log ingestion and parsing with Logstash, data indexing and search using Elasticsearch, and dashboard creation in Kibana for comprehensive log management and analysis
–
We've simplified complex learning into interactive courses for your success. Check out our DevOps courses: [ Ссылка ]

свернуть