This specialization offers a practical, hands-on journey into mastering DevOps and Site Reliability Engineering to build scalable, reliable, and automated cloud-native systems. Learn to implement CI CD pipelines, automate infrastructure using Terraform, and deploy containerized applications with Docker and Kubernetes. Explore modern monitoring and observability tools such as Prometheus, Grafana, and ELK while applying SRE practices like SLIs, SLOs, error budgets, and incident management to ensure high system reliability and performance.
By the end of this program, you will be able to:
- Automate Infrastructure: Build and manage cloud infrastructure using Terraform and IaC practices
- Deploy Cloud Native Applications: Use Docker and Kubernetes for scalable containerized environments
- Implement Monitoring and Observability: Track system health with Prometheus, Grafana, and logging tools
- Apply SRE Practices: Improve system reliability with SLIs, SLOs, incident management, and chaos engineering
Ideal for beginners, IT support professionals, DevOps engineers, system administrators, and aspiring Site Reliability Engineers looking to develop practical DevOps and reliability engineering skills for modern production environments.
应用的学习项目
Project 1 Overview: Monitoring a Python Web Application Using Prometheus and Grafana
In this project, you’ll set up monitoring for a Python Flask application using Prometheus and Grafana. The stack will run with Docker Compose. You’ll expose application metrics, configure Prometheus to collect them, and use Grafana dashboards to visualize performance.
Project 2 Overview: Implementing Jenkins Logging Using ELK Stack
In this project, you’ll build centralized Jenkins logging using the ELK Stack. Jenkins logs will integrate with Elasticsearch, Logstash, and Kibana for efficient log collection, analysis, and pipeline monitoring.
Project 3 Overview: Deploying Jenkins on Kubernetes Using Amazon EKS
In this project, you’ll deploy Jenkins on Amazon EKS as a Kubernetes pod to support a CI/CD pipeline. Using AWS and Kubernetes configurations, you’ll automate testing and deployment workflows for scalable cloud-native delivery.
