Udemy – Software Architecture & System Design Practical Case Studies
English | Tutorial | Size: 4.9 GB
Master Google Cloud DevOps Engineering with 16+ hours of high-quality video training and 100+ real-world hands-on demos.
In today’s rapidly evolving technological landscape, organizations demand faster software delivery, higher reliability, and world-class performance. Businesses across every industry are adopting cloud-native DevOps, Site Reliability Engineering (SRE) practices, and modern automation tools to stay competitive. As a result, the demand for skilled Google Cloud DevOps Engineers is growing exponentially. This course is designed to help you master all the essential concepts, tools, and practical skills required to pass the Google Cloud Professional DevOps Engineer Certification-and become a highly skilled DevOps professional capable of architecting, deploying, automating, monitoring, and securing modern cloud applications on Google Cloud.
This comprehensive and hands-on course takes you through every major area of the certification exam blueprint while equipping you with real-world skills you can apply immediately. Whether you’re a beginner stepping into DevOps, a cloud engineer looking to level up, or an experienced professional wanting to validate your skills, this course gives you everything you need in one structured learning path.
Why This Certification Is So Important
The Google Cloud Professional DevOps Engineer Certification is one of the most respected and career-boosting credentials in the cloud ecosystem. Companies worldwide use Google Cloud to build scalable, reliable, and secure applications-and DevOps Engineers are the backbone of ensuring these applications run efficiently.
By earning this certification, you demonstrate your ability to:
Implement SRE principles
Build CI/CD pipelines
Deploy applications on Kubernetes (GKE)
Automate infrastructure using Terraform
Monitor systems using Cloud Monitoring and Logging
Manage Cloud Build, Cloud Deploy, Artifact Registry
Ensure security, reliability, observability, and scalability
This course is crafted to help you build these skills using a highly practical and concept-driven approach, ensuring you not only pass the exam but also perform confidently in real DevOps engineering roles.
What Makes This Course Unique?
This course is not just theory. It blends conceptual understanding with hands-on demos, real-world examples, architectural breakdowns, and exam-focused explanations. It covers all major DevOps tools and Google Cloud services that you will encounter in the certification exam and in real enterprise environments.
Key highlights include:
Clear explanation of each domain from the exam guide
Step-by-step breakdowns of SRE concepts like SLOs, SLIs, SLAs, error budgets
Practical CI/CD pipelines using Cloud Build
Deployments using Cloud Deploy and Artifact Registry
Infrastructure automation with Terraform
Kubernetes deployments on Google Kubernetes Engine (GKE)
Anthos, hybrid cloud, and multi-cloud DevOps workflows
Logging, monitoring, dashboards, alerts, and production readiness
Security fundamentals including IAM, service accounts, least privilege, and workload identity
Mastering DevOps workflows from code to production
This combination of theory + practice ensures you fully understand the “why” behind each tool and technique.
What You Will Learn in This Course
This course covers the complete skill set required to become a successful Google Cloud DevOps Engineer. Some major learning outcomes include:
Understanding the role and responsibilities of a Professional Cloud DevOps Engineer
Applying Site Reliability Engineering (SRE) principles for reliability and performance
Creating meaningful SLIs, SLOs, SLAs, and managing error budgets
Implementing blameless postmortems, root cause analysis, and incident response workflows
Building fully automated CI/CD pipelines using Cloud Build and Cloud Deploy
Storing, managing, and scanning artifacts using Artifact Registry
Creating production-ready Kubernetes workloads on GKE
Configuring clusters, autoscaling, workload identity, node pools, networking, and security
Automating infrastructure deployments using Terraform
Writing Terraform modules, managing versions, and creating reproducible environments
Monitoring systems using Cloud Monitoring, dashboards, metrics, alerts, uptime checks
Working with Cloud Logging, logs-based metrics, and troubleshooting distributed systems
Implementing DevOps security practices including IAM, Secrets Manager, VPC Service Controls
Using Anthos for hybrid and multi-cloud DevOps
Implementing blue-green, canary, and progressive delivery strategies
Preparing thoroughly for the Google Cloud Professional DevOps Engineer certification exam
Every topic is broken down in a simple, intuitive manner so learners at any experience level can easily follow along.
Course Structure Overview
The course is divided into well-organized sections, each containing multiple lectures that progressively build your knowledge:
1. Introduction to DevOps, Google Cloud, and SRE
You begin by understanding the evolution of DevOps, Google Cloud fundamentals, and the core SRE concepts that power reliability at Google scale. We explore the history of software development, how DevOps emerged, and where SRE fits into modern engineering practices.
2. SRE Fundamentals
This section dives deep into essential SRE practices such as SLIs, SLOs, SLAs, error budgets, blameless postmortems, eliminating toil, and building resilient systems. These principles form the backbone of the DevOps exam and your job as a DevOps engineer.
3. Google Cloud Services for DevOps
You learn foundational services like IAM, Cloud Storage, Compute Engine, networking, service accounts, and other Google Cloud basics essential for DevOps workflows.
4. CI/CD with Cloud Build
This highly practical section teaches you how to build, automate, and integrate CI/CD pipelines:
Build triggers
Build steps
Substitutions
YAML configuration
Multi-step pipelines
Securing pipelines
Integrating testing and scanning tools
5. Artifact Registry
You explore how to configure Docker repositories, store artifacts, scan vulnerabilities, and integrate the registry with Cloud Build and GKE.
6. Continuous Delivery with Cloud Deploy
Learn how to automate deployments using release pipelines, rollout strategies, approvals, and multi-environment progression.
7. Google Kubernetes Engine (GKE)
One of the exam’s biggest sections, this part teaches you:
Cluster creation
Node pools
Autoscaling
Workload management
Ingress & networking
GKE security
Logging & monitoring for Kubernetes
Rolling updates and canary deployments
8. Infrastructure Automation Using Terraform
You learn to write Terraform code for provisioning Google Cloud resources, managing remote backend states, creating reusable modules, and automating cloud infrastructure end-to-end.
9. Monitoring, Logging & Observability
This section covers:
Cloud Monitoring dashboards
Alerting policies
Uptime checks
SLO monitoring
Cloud Logging queries
Log-based metrics
Debugging production incidents
10. Security, IAM & Governance
Understand DevOps-specific security practices including IAM roles, service accounts, workloads identity, least privilege, Secrets Manager, and secure pipeline design.
11. Anthos & Modern DevOps Workflows
You learn how modern enterprises use Anthos to manage multi-cloud and hybrid DevOps, service mesh, and centralized policy management.
12. Exam Preparation Section
The course includes targeted exam guidance, tips, strategies, and key concepts you must revise before attempting the certification exam.
Anyone wanting a high-paying DevOps or Site Reliability Engineering role will benefit immensely from this course.
Career Impact & Industry Demand
Completing this course and achieving the Professional DevOps Engineer certification opens doors to roles such as:
Cloud DevOps Engineer
SRE (Site Reliability Engineer)
Cloud Engineer
Infrastructure Engineer
CI/CD Architect
Kubernetes Engineer
Cloud Automation Engineer
Global salaries for DevOps engineers are among the highest in the industry. Companies running scalable systems-Google, Meta, Amazon, Microsoft, Netflix, Uber, and countless others-need professionals with these skills.
Teaching Style & Learning Approach
This course is designed with a teaching flow that simplifies even the most complex DevOps concepts. You will learn through:
Visual explanations
Real-world analogies
Hands-on demos
Step-by-step walkthroughs
Clear, beginner-friendly explanations
You’ll never feel lost-every concept builds upon the previous one.
Final Word
If you want to become a highly skilled Google Cloud DevOps Engineer, build world-class pipelines, deploy on GKE, automate infrastructure, implement SRE principles, and master monitoring, logging, and security-this is the perfect course for you.
With structured content, practical demos, and certification-focused guidance, you’ll walk away fully prepared for the Google Cloud Professional DevOps Engineer exam and confident in your ability to operate production-grade systems on Google Cloud.
Enroll today and accelerate your career in DevOps and Cloud Engineering!
Regards
Ankit Mistry
DOWNLOAD:
RAPIDGATOR:
rapidgator.net/file/c525b0da4b1c55df5469bcf581da47e4/Udemy_-_Software_Architecture_&_System_Design_Practical_Case_Studies.part1.rar.html
rapidgator.net/file/7d2cdf03e13dee33a9ae55a715ec0459/Udemy_-_Software_Architecture_&_System_Design_Practical_Case_Studies.part2.rar.html
NITROFLARE:
nitroflare.com/view/C418D805EB173DF/Udemy_-_Software_Architecture_%26_System_Design_Practical_Case_Studies.part1.rar
nitroflare.com/view/EF264268D636CC4/Udemy_-_Software_Architecture_%26_System_Design_Practical_Case_Studies.part2.rar