GCP Load Balancing & HA Cluster Web Labs with Ubuntu NGINX!!

Name: GCP Load Balancing & HA Cluster Web Labs with Ubuntu NGINX!!
Rating: 4.9 (10 reviews)

Google Cloud: Hands-on GCP labs using CLI Ansible IaC Bash deploy Ubuntu NGINX apps global regional load balancers infra

Created byMana Dowlatshahi Yeganeh

Last updated 7/2026

English

What you'll learn

GCP Load Balancing
HA Cluster Web HTTP
Practical Labs
Ubuntu NGINX!!
Google Cloud: Hands-on GCP labs using CLI Ansible IaC Bash deploy Ubuntu NGINX apps global regional load balancers infra
GCP HA Proxy & LB/FT

Course content

4 sections • 33 lectures • 21h 29m total length

GCP Load Balancing & HA Cluster Web Labs with Ubuntu NGINX!!1:58:05
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.
Download >> LAB Guide README.md
how_create_gcp_service_account_key_json.txt.MD
ansible.cfg
inventory
install_nginx.yml
Download >> gcp_lb_ha_web_http_lab_google_cloud.zip

DigitalOcean Droplets VM Virtualization MySQL Practical Lab1:57:41
Develop hands-on skills in DigitalOcean droplets by mastering VM virtualization and administering MySQL in a practical lab environment.
MySQLMariaDB Fundamentals Practical Lab on Google Colab!!1:14:58
Master MySQL and MariaDB fundamentals through a practical lab on Google Colab, aligned with GCP load balancing and Ubuntu NGINX high-availability cluster concepts.
MySQL and MariaDB The Backbone of Modern Databases32:03
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.

VMware Player Pro LAB1:32:42
Virtualization and VMware Unlocking IT Efficiency and Flexibility40:52
Network System Administration & Cloud Security IT Infra Fundamentals4:23:53
DigitalOcean Cloud Simplifying Cloud for Developers and Startups37:32
Cloud VPS and Servers vs On Premises Infrastructure39:26
Unlocking DigitalOcean VPS Databases Kubernetes and Cloud Infrastructure31:38
Nagios Deployment & Cloud Monitoring - Infra Network VPS Server Admin Lab1:45:56
Mastering Infrastructure Monitoring From Bare Metal to Kubernetes38:55
Server Network and Cloud Infrastructure Monitoring Tools38:42
Understanding Linux Ubuntu and Nagios Fundamentals for Cloud and Infrastructure32:53
MariaDB Database Local & VPS Practical Lab1:50:28

Apache Web Server Setup on CentOS with AI Agent Basics LAB!57:37
Configure Apache web server on CentOS and run AI agent basics lab. Practice GCP load balancing and high-availability cluster labs with Ubuntu NGINX.
01 Web Server Management What It Is and Why It Matters5:08
02 Linux Servers The Backbone of the Modern Internet5:00
Learn how Linux servers underpin the modern internet, and compare Ubuntu and CentOS while mastering the Linux kernel, command-line skills, and open-source advantages for DevOps and cloud workloads.
03 Apache Powering the Backbone of the Web5:00
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.
04 The Language of the Web HTTP HTTPS and Why It Matters5:23
05 Decoding the Server What are VMs and VPS5:16
Explore virtualization fundamentals by explaining VMs and VPS, how a hypervisor isolates workloads and counters the bare metal trap, enabling flexible, scalable cloud infrastructure for devops workflows.
06 The Engine Under the Hood Why SREs Must Master Web Servers4:59
Master the full stack by understanding web servers as traffic cops and load balancers, enabling proactive diagnosis, robust security, and reliable performance for complex infrastructures.
07 Apache vs Nginx Choosing Your Web Foundation5:05
Compare Apache and Jinx to choose your web foundation, leveraging Apache for dynamic content and Jinx for static assets and reverse proxy in a hybrid architecture.
08 Bare Metal Servers Unleashing Raw Hardware Power5:04
Experience bare metal servers delivering dedicated physical infrastructure with zero virtualization overhead, enabling peak performance, full control, and predictable, low-latency operations for demanding workloads.
09 Docker Swarm vs Kubernetes4:52
Compare Docker Swarm and Kubernetes to understand container orchestration for web deployments. Swarm offers quick, low-overhead setup; Kubernetes delivers advanced autoscaling and multi-cloud flexibility for complex microservices.
10 Firewall and Security Hardening Apache and NGINX5:35
11 Apache and Nginx Who Should Learn Them and What to Practice5:16
Explore Apache and Jinx as essential web servers, learning when to use each—Apache for dynamic content and Jinx for fast static delivery and reverse proxying—through hands-on, job-ready labs.

Requirements

To successfully complete this course, learners should have a basic understanding of Linux fundamentals, including file system navigation, basic shell commands, and package installation. Familiarity with web concepts such as HTTP, web servers, and IP networking is helpful but not mandatory. Prior exposure to cloud computing concepts or any public cloud platform is beneficial but not required, as the course starts from foundational principles. Learners should have access to a Google Cloud account with billing enabled, a computer with internet access, and willingness to learn hands-on by following lab exercises. Basic awareness of scripting or automation concepts will be an advantage but is not compulsory.

Description

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.

Who this course is for:

Students & Beginners in Cloud Computing This course provides a strong foundation in GCP infrastructure, load balancing, and high availability using real labs, making it ideal for beginners starting a cloud career.
System Administrators & IT Professionals SysAdmins can upgrade their traditional infrastructure skills to cloud-based architectures and learn how to deploy resilient, scalable web services on GCP.
DevOps & Cloud Engineers DevOps professionals will benefit from hands-on experience with automation tools like Ansible and CLI-based infrastructure deployment aligned with real-world practices.
Software Developers & Web Engineers Developers gain insight into how applications are deployed, scaled, and protected behind load balancers, improving collaboration with infrastructure and DevOps teams.

GCP Load Balancing & HA Cluster Web Labs with Ubuntu NGINX!!

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