RAD Platform Benefits
Overview
The Rapid Application Deployment (RAD) platform bridges the gap between theoretical cloud knowledge and the hands-on expertise that professional roles — and Google Cloud certifications — demand. Rather than reading about infrastructure, you configure and deploy it: real VPC networks, real Cloud SQL instances, real GKE clusters, real Cloud Run services — all provisioned into your own Google Cloud project in minutes.
This document explains what RAD delivers, which modules are available, and how the platform accelerates Google Cloud certification preparation by replacing passive study with active, real-world practice.
Key Benefits
Real-World Cloud Configuration Experience
Every RAD deployment creates production-grade infrastructure in a real Google Cloud project. When you configure and submit a module, the platform provisions the full technology stack — networking, identity, storage, compute, security, and observability — exactly as an experienced cloud architect would design it.
This hands-on experience develops practical skills that cannot be acquired from reading documentation alone:
- Resource hierarchy and project management — every module is scoped to a real GCP project ID, creating an immediate connection between the abstract concept of project-level resource scoping and the live GCP Console.
- IAM and least-privilege access — each module automatically creates dedicated service accounts with precisely scoped IAM roles (
roles/cloudsql.client,roles/secretmanager.secretAccessor,roles/storage.objectAdmin, etc.), giving you a working example of least-privilege design to inspect in the console. - VPC networking — subnets, CIDR ranges, Cloud NAT, Cloud Routers, Private Service Access peering, and secondary IP ranges for GKE pods and services are all configured through module variables and immediately visible in the VPC network console.
- Managed databases — Cloud SQL instances with configurable high-availability (
ZONALvsREGIONAL), automated backups, Cloud SQL Auth Proxy, and private IP access are deployed with a single configuration step. - Container orchestration — deployments to both Cloud Run (serverless, scale-to-zero) and GKE Autopilot (managed Kubernetes) expose the operational and architectural differences between these platforms through direct console exploration.
- Security controls — Secret Manager for credentials, Identity-Aware Proxy (IAP), Cloud Armor WAF policies, VPC Service Controls, and Binary Authorization are available as module configuration variables, not abstract options in a study guide.
- Observability — Cloud Monitoring dashboards, uptime checks, alert policies (with MQL-based conditions), and notification channels are provisioned automatically, giving you a fully instrumented environment to explore from the first deployment.
Accelerated Path to Google Cloud Certification
The RAD platform is directly aligned with the exam domains of five Google Cloud certification tracks. Each certification guide maps specific exam topics to the module variables that implement them and the GCP Console locations where you can observe the results — turning the study process into an exploration of infrastructure you have actually deployed.
The benefit is a significant reduction in the time required to build exam-ready knowledge:
| Traditional Study Path | RAD-Accelerated Path |
|---|---|
| Read documentation, memorise concepts | Configure a module variable, observe the result |
| Watch videos about IAM roles | Inspect the service accounts and bindings created by your deployment |
| Study VPC networking diagrams | Navigate to your live VPC network, subnets, and routing table |
| Review Cloud SQL high-availability concepts | Compare ZONAL and REGIONAL deployments in the Cloud SQL console |
| Learn about Cloud Monitoring alert policies | Review and edit the MQL-based alert policies created for your deployment |
| Practice with contrived sandbox exercises | Explore a production-grade environment you configured yourself |
Real-world examples embedded in the certification guides — from healthcare data sovereignty requirements to retail autoscaling cost controls — connect the infrastructure you deploy to the scenario-based questions used in Google Cloud professional certification exams.
Production-Grade Infrastructure from Day One
RAD modules do not deploy simplified tutorials or minimal proof-of-concept configurations. Every module provisions the same infrastructure patterns used in production environments, including:
- Automated secret rotation using Secret Manager, eliminating plaintext credentials
- Cloud Build CI/CD pipelines with Artifact Registry, GitHub webhook triggers, and automated deployment on code push
- Horizontal and Vertical Pod Autoscaling (HPA/VPA) for GKE workloads, and concurrency-based scaling for Cloud Run
- Container health management with startup probes, liveness probes, and readiness probes
- Multi-region networking with support for deploying subnets, Cloud NAT, and Cloud Router across multiple GCP regions from a single configuration
- Cost management controls including scale-to-zero for Cloud Run, billing budget alerts, and resource labels for cost attribution
The infrastructure you explore on RAD is the same infrastructure you will be asked to design, configure, and troubleshoot in professional cloud engineering roles.
Broad Coverage Across GCP Services
A single RAD deployment automatically activates more than 35 Google Cloud APIs and provisions resources across multiple service families:
| Service Category | GCP Services Covered |
|---|---|
| Compute | Cloud Run, GKE Autopilot, Compute Engine (for shared services) |
| Networking | VPC, Cloud NAT, Cloud Router, Private Service Access, Cloud DNS, Static IPs, Load Balancing |
| Storage & Data | Cloud SQL (PostgreSQL/MySQL), Cloud Storage (GCS), Filestore (NFS), Memorystore for Redis |
| Security | Secret Manager, Identity-Aware Proxy, Cloud Armor, VPC Service Controls, Binary Authorization, Security Command Center |
| Identity | IAM service accounts, Workload Identity, Cloud Identity integration |
| DevOps | Cloud Build, Artifact Registry, Cloud Deploy |
| Observability | Cloud Monitoring (dashboards, alerts, uptime checks), Cloud Logging, Cloud Trace |
| Governance | Cloud Asset Inventory, Organisation Policy, Billing Budgets |
This breadth means a single platform subscription gives you hands-on exposure to the full spectrum of GCP services tested across all five professional certification tracks.
Platform Modules
RAD provides 26 deployment modules covering 13 application types across two Google Cloud deployment targets.
Deployment Targets
Cloud Run — Serverless container execution. Ideal for stateless workloads, scale-to-zero cost optimization, and managed autoscaling without cluster administration. Cloud Run modules demonstrate serverless architecture, HTTP-triggered scaling, and managed ingress.
GKE (Google Kubernetes Engine Autopilot) — Managed Kubernetes for persistent, orchestrated workloads. GKE modules demonstrate pod scheduling, Workload Identity, Horizontal Pod Autoscaling, persistent volume claims, Kubernetes Gateways, and multi-container pod patterns.
Available Application Modules
| Module | Description | Cloud Run | GKE |
|---|---|---|---|
| Application | Base containerized application module. The foundation for all wrapper modules. Covers the complete Cloud Run or GKE infrastructure stack for any containerized workload. | Yes | Yes |
| Cyclos | Community banking and mutual credit platform. Demonstrates financial application deployment with strict data isolation requirements. | Yes | Yes |
| Directus | Headless CMS and data platform with REST and GraphQL APIs. Illustrates API-first architecture with Cloud SQL and GCS integration. | Yes | Yes |
| Django | Python web framework for rapid application development. Demonstrates application-tier deployment with Cloud SQL backend and automated schema migration. | Yes | Yes |
| Ghost | Modern publishing platform and content management system. Covers CDN integration, GCS media storage, and Cloud Run autoscaling for variable publishing traffic. | Yes | Yes |
| Moodle | Open-source Learning Management System (LMS). Demonstrates stateful application deployment with NFS shared storage (Filestore), high user concurrency, and persistent session requirements. | Yes | Yes |
| N8N | Open-source workflow automation platform. Illustrates event-driven architecture, webhook integration, and background job processing on both Cloud Run and GKE. | Yes | Yes |
| N8N AI | Workflow automation with integrated AI components. Deploys N8N alongside Qdrant (vector database) and Ollama (local LLM inference), demonstrating multi-container AI workload orchestration, GCS Fuse for model storage, and Kubernetes service discovery. | Yes | Yes |
| Odoo | Open-source ERP and business management suite. Covers enterprise application deployment with complex database schema initialization, module installation, and multi-process worker configuration. | Yes | Yes |
| OpenEMR | Open-source Electronic Health Record (EHR) system. Demonstrates healthcare data workload deployment with strict security controls, private database access, and audit logging — patterns directly relevant to HIPAA compliance scenarios in the PCA exam. | Yes | Yes |
| Sample | Minimal reference application. A clean baseline for learning the module configuration process without application-specific complexity. | Yes | Yes |
| Strapi | Headless CMS and API builder. Illustrates content API deployment with GCS media storage, Cloud SQL backend, and automated build pipelines. | Yes | Yes |
| Wiki.js | Modern collaborative wiki and documentation platform. Demonstrates full-text search integration, database-backed content storage, and Cloud Run deployment with persistent volume requirements. | Yes | Yes |
Google Cloud Certification Coverage
RAD provides structured certification preparation guides mapped directly to the official exam domain structure for five Google Cloud certifications.
Certifications Supported
Associate Cloud Engineer (ACE) The ACE certification validates the ability to deploy, manage, and monitor Google Cloud resources. The RAD platform covers all four exam sections across project setup, IAM, networking, compute deployment, and observability.
Professional Cloud Architect (PCA) The PCA certification tests the ability to design, build, and manage scalable, secure cloud solutions. RAD modules implement the infrastructure patterns described in the four official PCA exam case studies (Altostrat Media, Cymbal Retail, EHR Healthcare, KnightMotives Automotive), enabling candidates to map real deployed infrastructure to scenario-based questions across all six exam sections.
Professional Cloud Developer (PCD) The PCD certification validates application development and deployment skills on Google Cloud. RAD modules demonstrate CI/CD pipeline construction (Cloud Build, Artifact Registry), application runtime configuration (Cloud Run revisions, GKE deployments), Cloud Storage and Cloud SQL integration, and Secret Manager-based configuration management across all four exam sections.
Professional Cloud DevOps Engineer (PDE) The PDE certification tests expertise in building and managing reliable, scalable infrastructure pipelines. RAD modules cover automated deployment pipelines (Cloud Build, Cloud Deploy), infrastructure monitoring with alert policies and SLOs, GKE cluster management, and log routing across all five exam sections.
Professional Cloud Security Engineer (PSE) The PSE certification validates expertise in designing and implementing secure Google Cloud environments. RAD modules directly implement the security controls tested in all five exam sections: IAM least-privilege design, VPC private networking, Secret Manager, Cloud Armor, Identity-Aware Proxy, VPC Service Controls, Binary Authorization, and Security Command Center integration.
How Certification Guides Work
Each certification guide section:
- Maps exam topics to module variables — for every exam concept, the guide identifies the specific RAD module variable that implements it, so you configure the feature rather than just reading about it.
- Provides console exploration paths — step-by-step navigation instructions direct you to the exact GCP Console location where you can observe and validate what you deployed.
- Includes
gcloudCLI commands — validates understanding of the command-line interface tested on all Google Cloud exams. - Applies real-world scenarios — each topic includes an industry scenario (healthcare, financial services, retail, media) that mirrors the case study format used in professional-level exams.
- Highlights exam-relevant nuances — the guides surface the specific distinctions that appear in exam questions, such as the difference between Private Service Access and Private Service Connect, or between
ZONALandREGIONALCloud SQL availability.
How RAD Reduces Certification Preparation Time and Effort
Google Cloud certifications are notoriously difficult to pass with book knowledge alone. Exam questions are scenario-based and require the candidate to make architectural and operational decisions — not to recall definitions. The hands-on component is where most candidates need the most preparation, and it is where RAD provides the greatest value.
Compression of the learning curve — configuring a module variable and immediately observing the result in the GCP Console creates a learning loop that is significantly faster than building the same understanding from documentation. A concept that takes an hour to study passively becomes clear in five minutes of active exploration.
Elimination of environment setup friction — the most common barrier to hands-on GCP practice is the effort required to build a working environment from scratch: creating VPCs, configuring Private Service Access, enabling APIs, setting up IAM service accounts, and wiring observability. RAD handles all of this automatically, so 100% of preparation time is spent on learning rather than on environment plumbing.
Breadth of coverage in a single deployment — a single module deployment provisions resources across ten or more GCP service families simultaneously. Exploring a single App CloudRun deployment gives you direct exposure to Cloud Run, Cloud SQL, Cloud Storage, Secret Manager, IAM, VPC networking, Cloud Build, Artifact Registry, Cloud Monitoring, and uptime checks — all in one session.
Exam-aligned study structure — the certification guides are organised to match the official exam domain weightings, so study time is allocated proportionally to where marks are earned on the exam.
Repeatability — modules can be redeployed with different configurations to explore the effect of changing a single variable, such as switching postgres_database_availability_type from ZONAL to REGIONAL to directly observe high-availability configuration changes in the Cloud SQL console.
The result is a preparation path that is faster, more effective, and more directly aligned with the hands-on skills tested in Google Cloud professional certification exams than any purely passive study approach.