What is a DevOps Engineer?

A DevOps Engineer is a professional who bridges the gap between software development (Dev) and IT operations (Ops), automating and improving processes. They manage the lifecycle of software from coding to deployment (pipeline).

Why This Profession? DevOps Salaries

It is one of the most sought-after roles in the tech world. High demand, remote work opportunities, and continuous learning make it attractive. Salaries: While varying by experience, location, and company, they are generally above the software industry average.

DevOps Roadmap

A path to becoming a successful DevOps Engineer:

1. Basics: Linux/Unix, Terminal, Network basics (DNS, HTTP, SSL).
2. Programming: Python, Go, or Bash scripting.
3. Version Control: Git and GitHub/GitLab.
4. Containerization: Docker.
5. Orchestration: Kubernetes.
6. CI/CD: Jenkins, GitLab CI, GitHub Actions.
7. IaC (Infrastructure as Code): Terraform, Ansible.
8. Cloud: AWS, Azure, or Google Cloud.
9. Monitoring: Prometheus, Grafana, ELK Stack.

Azure DevOps Training

For those in the Microsoft ecosystem, Azure DevOps is a powerful platform managing the entire process. It includes Boards, Repos, Pipelines, Test Plans, and Artifacts. Training can prepare you for certifications like AZ-400.

DevOps Tools and Pipeline

DevOps Pipeline: An automated process from software development to deployment, consisting of Build, Test, and Deploy stages.

Best CI/CD and DevOps Tools:

• CI/CD: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, Azure DevOps.
• Container: Docker, Kubernetes.
• IaC: Terraform, Ansible, Pulumi.
• Monitoring: Prometheus, Grafana, Datadog.

New Trends: AIOps, ChatOps, MLOps

What is AIOps?

Artificial Intelligence for IT Operations. Using AI and ML to automate and improve IT operations, such as anomaly detection and event management.

What is ChatOps?

Managing DevOps processes via chat platforms (Slack, Teams). You can query server status or trigger deployments with a command.

What is MLOps?

Machine Learning Operations. Automating the development, training, deployment, and monitoring of ML models. Applying DevOps principles to Data Science.

What is DevSecOps?

Integrating "Security" into DevOps processes. Security is addressed from the beginning (Shift Left), not just at the end.

DevSecOps Tools and Best Practices

• Tools: SonarQube (Code analysis), Snyk (Dependency scanning), OWASP ZAP (Security testing).
• Best Practices:
  • Automated security scans.
  • Least Privilege principle.
  • Regular vulnerability tracking.
  • Container security.