After: Linux Systems and DevOps Engineering...

→ Define and articulate the core principles and culture of DevOps.

→ Apply advanced Git branching strategies like GitFlow in a team environment.

→ Build and manage Docker images using multi-stage builds and Dockerfiles.

→ Orchestrate multi-container applications using Docker Compose.

→ Understand and troubleshoot the core components of a Kubernetes cluster.

→ Deploy and manage applications using Kubernetes Pods, Deployments, and Services.

→ Scale applications automatically using Horizontal Pod Autoscaling (HPA) in Kubernetes.

→ Manage Kubernetes configurations and secrets effectively.

→ Package and deploy applications on Kubernetes using Helm.

→ Design and implement CI/CD pipelines with GitHub Actions or GitLab CI.

→ Automate software builds, testing, and deployments from source code to production.

→ Provision cloud infrastructure on AWS/GCP using Terraform.

→ Configure virtual networks and security groups in a cloud environment.

→ Deploy and manage production-grade Kubernetes clusters on AWS EKS or GCP GKE.

→ Integrate cloud services with containerized applications.

→ Set up a comprehensive monitoring stack using Prometheus and Grafana.

→ Collect and analyze logs from a distributed system.

→ Monitor application performance and system health in real-time.

→ Debug and troubleshoot issues across the entire DevOps toolchain.

→ Secure CI/CD pipelines and cloud environments (DevSecOps principles).

→ Automate system configuration tasks using introductory Ansible.

→ Work with public and private container registries like Docker Hub or a cloud registry.

→ Conduct a full project lifecycle from code commit to a deployed, monitored, and auto-scaling application.

→ Demonstrate expertise in a portfolio of projects for job interviews.

→ Collaborate effectively within a DevOps team structure.