Data Science-AI-Cloud Sundays: Introducing RAD (Rapid Application Deployment)

GDG Cloud Kaduna

Join us for an exciting deep dive into "Cloud-Native Data Science for Beginners". In this interactive session, we’ll unr...

Aug 16, 5:00 – 7:00 PM (UTC)

11 RSVP'd

Key Themes

AIGoogle CloudTech Talk / Meetup

About this event

RAD Platform (Rapid Application Deployment)

RAD (Rapid Application Deployment) is a modern cloud deployment portal and hands-on learning platform designed to deploy ready-made, enterprise-grade application modules to Google Cloud without writing complex infrastructure code from scratch.

Built for developers, data engineers, and cloud architects, RAD simplifies cloud delivery by packaging end-to-end architectures—ranging from serverless web applications to business intelligence tools and data stores—into guided, modular deployments.

🏗️ Core Capabilities & Features

  1. Zero-Boilerplate Deployments:

    • Pick a pre-configured solution (e.g., Umami, Metabase, Superset, or custom workloads).

    • Fill out a simple configuration form.

    • The platform automatically provisions the underlying Google Cloud services (Cloud Run, GKE Autopilot, Cloud SQL, Secret Manager, Cloud Build).

  2. Serverless & Managed Runtimes:

    • Cloud Run: For stateless, cost-effective services that scale to zero when idle.

    • GKE Autopilot: For containerized workloads requiring stateful storage, persistent volumes, or specialized controllers.

  3. Automated Data & Security Lifecycle:

    • Managed relational databases (Cloud SQL, AlloyDB) with automated least-privilege user creation, schema migrations, and secret generation/rotation via Secret Manager.

    • Native integration with IAM, VPC networking, and cloud security guardrails.

  4. Certification-Aligned Hands-On Labs:

    • Infrastructure modules map directly to Google Cloud certification tracks (Associate Cloud Engineer, Professional Cloud Architect, Security Engineer, DevOps, and Database Engineer), allowing learners to turn theoretical knowledge into hands-on mastery.

🌟 Why It Matters

  • Accelerated Time-to-Delivery: Launch production-ready open-source tools and enterprise microservices in minutes instead of days.

  • Best-Practice Architecture by Default: Every deployment adheres to Google Cloud architectural standards, least-privilege security, and cost-efficient scaling.

  • Theory to Practical Mastery: Serves as a bridge for engineers building real-world proof-of-work while studying for GCP certifications.

📚 Helpful Resources

Host

  • Peter Okwukogu

    CoLab Innovation Hub

    Google Developer Expert (GDE) for Data Cloud

Organizers

  • Peter 'Pablo' Okwukogu

    Colab Innovation Hub

    Data Scientist & Community Lead

  • Robert John

    Data Team Lead

  • Asiya Amanda Pada

    CoLab Innovation Hub

    Aspiring AI Engineer