
Learn how to deploy Ubuntu and NGINX web servers on GCP Compute Engine, configure regional and global load balancers with health checks, and automate with gcloud CLI and Ansible.
Develop hands-on skills in DigitalOcean droplets by mastering VM virtualization and administering MySQL in a practical lab environment.
Master MySQL and MariaDB fundamentals through a practical lab on Google Colab, aligned with GCP load balancing and Ubuntu NGINX high-availability cluster concepts.
Explore MySQL and MariaDB as the backbone of modern databases, covering SQL proficiency, open-source design, replication, and high availability. Gain insights into AI integration, cloud-native deployment, and native connectors.
Discover Apache, the backbone of the web, an open-source web server powering dynamic sites with Python, featuring modular architecture, virtual hosting, and plain-text configuration.
This course is a fundamental, hands-on practical lab designed to teach how to build highly available web application infrastructure on Google Cloud Platform (GCP). Learners will deploy and configure HTTP NGINX web servers on Ubuntu Linux Google Compute Engine instances and expose them through Google Cloud global and regional HTTP(S) Load Balancers. The course emphasizes real-world infrastructure deployment using GCP CLI, Bash scripting, and Ansible automation, closely matching how modern cloud environments are built and managed.
The course explains what load balancing and high availability are, why they are critical in cloud-native applications, and how GCP implements them at scale. Students will understand the difference between global vs regional load balancers, backend services, health checks, instance groups, firewall rules, and traffic distribution. Each concept is reinforced through step-by-step labs, ensuring learners do not just understand theory but can confidently deploy production-style architectures.
The importance of this course lies in its practical cloud engineering focus. High availability and load balancing are core requirements for modern web applications, ensuring fault tolerance, scalability, and zero downtime. By learning these fundamentals early, students gain a strong foundation that applies to advanced cloud architectures, Kubernetes, microservices, and DevOps pipelines.
Key advantages of this course include hands-on learning, automation-first infrastructure deployment, exposure to industry-standard tools, and clear understanding of cloud networking and traffic management. The skills gained are directly applicable to real job roles and certification paths in cloud engineering and DevOps.
This course is ideal for anyone looking to build a career in cloud computing, DevOps, SRE, or infrastructure engineering. As cloud adoption continues to grow, expertise in load balancing, automation, and high availability will remain highly in demand. The future of IT infrastructure is cloud-native, and this course prepares learners with practical, future-ready skills.