Google Cloud

Cloud Application
Modernization
Playbook

AI-Based Transformation with Cloud Application Modernization Program (CAMP) + Rapid Application Deployment (RAD)
CAMP Framework RAD Platform · 40+ Modules Interactive AI Autonomous AI AI/LLM Applications DORA Methodology Platform Engineering
10,000+Professionals Trained
500+Client Engagements
4.8/5.0CSAT Score
40+Deployment Modules
95%Faster Platform Delivery
13 YearsGoogle Partnership

“RAD delivers the platform. CAMP maps the journey. AI accelerates every step.”

The Modernization Imperative
Why Modernization Cannot Wait
Three forces are compounding the cost of delay — and widening the gap between organisations that act and those that don't
The Three Blockers
Blocker 01 — Developer Productivity

17.3 hours lost every week, per developer

The average developer spends 17.3 hours each week on maintenance, debugging and technical debt instead of building — creating a vicious cycle where innovation becomes nearly impossible. Developer burnout accelerates as talented engineers lose motivation working on outdated systems.

Source: McKinsey & Company
Blocker 02 — Talent Crisis

A disappearing skills base for legacy systems

Graduates are trained on modern languages and cloud-native architectures. Expertise in older systems grows scarcer every year, making legacy positions increasingly difficult to fill — while the systems themselves become harder to understand and safer to leave untouched.

Source: Anthropic, Code Modernization Playbook, 2024
Blocker 03 — Technical Debt & Security Risk

70% of organisations cite debt as their innovation blocker

Legacy systems no longer receive security patches. Each unpatched vulnerability is a potential entry point. Compliance requirements evolve while legacy systems remain static — creating an ever-widening gap between what regulations demand and what systems can deliver.

Source: Protiviti; 82% in biotechnology, 78% in financial services
The CAMP Answer

A Structured Path Forward

The Google Cloud Application Modernization Program (CAMP) is a framework for designing a tailored, end-to-end modernization journey — providing step-by-step guidance while allowing each organisation to choose their path based on their comfort level and budgetary constraints.

The CAMP Cycle
Assess Identify challenges
Analyse Plan paths forward
Execute Expert-led delivery
Iterate Track & improve
CAMP Engagement Types
  • Jumpstart: 2 hours concept introduction
  • Workshop: half day deep-dive session
  • Implementation: multi-week pilot

Rapid Application Deployment (RAD) as the delivery engine

RAD deploys production-grade, CAMP-aligned Google Cloud infrastructure into a customer's own GCP project in minutes — the missing mechanism for scalable Pilot-tier delivery.

The Solution
A Complete Modernization Stack
Four layers working in concert — methodology, platform, interactive AI, and autonomous AI — to deliver modernization at a pace and scale previously out of reach
Layer Component Role Key Capabilities
Framework CAMP Structured Cloud Application Modernization Program with proven phased approach Assess → Analyse → Plan & Execute → Measure & Iterate · Three modernization paths · Partner-delivered engagement model
Platform RAD (IDP) Production-grade Internal Developer Platform — the golden path to modernized infrastructure 40+ deployment modules · Cloud Run + GKE Autopilot · Multi-cloud (AKS & EKS) · AI/LLM stack built-in · Security, observability, CI/CD & FinOps · 35+ GCP APIs per deployment
Interactive AI Claude Developer-in-the-loop AI for architecture, design and complex migrations Whole-codebase awareness · Architecture decisions · Legacy code archaeology · RAG & AI/LLM design · Documentation generation · Test suite creation
Autonomous AI Jules Async AI agent for continuous execution, CI/CD automation and platform maintenance GitHub-native PR workflow · Jules API in CI/CD pipelines · Jules Tools CLI · Multi-VM parallel task execution · Dependency & compliance automation
Claude Code — Interactive AI

The Architect's Partner

Claude Code understands context across entire codebases — tracing execution paths through multiple files, identifying dependencies before they become problems, and walking teams through the reasoning behind architectural decisions.

  • Analyse legacy codebases: extract business logic, map dependencies, document hidden constraints
  • Design migration architectures: monolith decomposition, service boundary identification, IaC optimisation
  • Architect RAG pipelines and AI/LLM stacks — vector database selection, embedding strategy, model deployment
  • Generates comprehensive application test suites before any code is migrated
  • Produce documentation where none previously existed — with a single prompt
  • Enables newer developers to architect systems without expert-level codebase knowledge
Jules — Autonomous AI

The Always-On Executor

Jules works asynchronously in a secure cloud VM — powered by Gemini — cloning your repo, making changes, running tests, and opening pull requests for review while your team focuses on higher-value work.

  • GitHub-native: understands full codebase context, works through issues, branches and PRs
  • Jules API integrates directly into RAD's Cloud Build / Cloud Deploy pipelines
  • Jules Tools CLI: scriptable, composable with existing developer toolchains
  • AGENTS.md: encodes platform engineering conventions Jules follows consistently
  • Multi-VM parallel execution: scales concurrent tasks across the entire codebase

“Claude Code for thinking. Jules for doing. RAD for deploying.”

Claude Code is used when designing platform modules, making architectural decisions or navigating complex migrations — including AI/LLM stack architecture and RAG pipeline design. Jules runs continuously in the background — handling execution, dependency management, security patching and quality work. RAD deploys the result as production-grade infrastructure. Together, they compress months of platform engineering into weeks, and transform a one-time engagement into a continuously improving platform.

Modernization Paths
Three Paths to Modernization
CAMP organises modernization across three paths. RAD provides the platform foundation for each — and AI accelerates delivery at every stage.
Move & Improve

Modernise the Legacy Estate

Automate the containerisation of traditional applications, migrate from legacy platforms, and unlock value from systems that cannot be re-architected.

CAMP Scope
  • Lift-and-shift via VMware Engine — migrate your existing VMware estate to Google Cloud with zero refactoring
  • Containerise Java and .NET applications with automated tooling
  • Migrate from Cloud Foundry and OpenShift to GKE Autopilot
  • Legacy API exposure via Apigee enterprise API management
AI Acceleration
  • Jules: Asynchronous legacy repo analysis, dependency mapping, migration proposals
  • Claude: Migration architecture, business logic extraction, test suite generation
  • RAD: Automated deployment of production-grade GKE landing zone
Cloud & Beyond

Next-Generation Platforms

Design cloud platform of the future — serverless architectures, AI/ML workloads, multicloud operations, and API-first application design.

CAMP Scope
  • Serverless application platform with Google Cloud Run and scale-to-zero economics
  • Multi-cloud architecture via GKE Fleet — attach AWS EKS and Azure AKS to a unified Google Cloud control plane
  • API management and design with Apigee enterprise API platform
  • Production-ready AI/LLM workloads — Ollama (local LLMs), RAGFlow (RAG engine), Flowise (visual AI), N8N AI (intelligent automation)
AI Acceleration
  • Jules: Background feature development, test generation, async PR delivery at scale
  • Claude: Next-generation architecture design — serverless, multicloud and AI/LLM stack patterns
  • RAD: Automated deployment of a production-ready AI stack — Ollama, RAGFlow, Flowise, vector DB — in minutes
35+ GCP APIs activated per deployment
100% Security built-in from day one
DORA Research-aligned curriculum & metrics
5 Google Cloud certifications covered
Engagement Model
Start Your Modernization Journey
Three engagement tiers — designed to deliver value at every stage, from initial assessment through to a production-ready platform
Tier 01

Jumpstart

~2 hours  ·  Low commitment, high insight
  • Cloud Application Modernization Program maturity assessment
  • Identify highest-ROI modernization targets
  • Legacy estate review with AI-assisted analysis
  • DORA quick-check baseline assessment
Outcome: Prioritised modernization roadmap aligned to your CAMP path
Tier 03

Pilot

4–8 weeks  ·  Full CAMP-aligned delivery
  • Full modernization of a target platform with measurable DORA improvement
  • RAD IDP deployed to your GCP environment
  • Jules integrated into your CI/CD pipeline via Jules API
  • Google Cloud certification pathway initiated for the team
Outcome: Production-ready platform + quantified performance improvement
Why RAD + CAMP + AI
  • Google Cloud partner: 13-year Google Cloud relationship, 4.8/5 CSAT, 500+ engagements across EMEA, APAC, North America and Latin America
  • 95% faster platform delivery: Environment setup drops from 3–5 days to under 2 hours — saving over £2,500 in consultant time per engagement
  • CAMP-enabled delivery: Structured Google Cloud methodology combined with hands-on fully automated platform execution — not just advice
  • AI-accelerated throughout: Claude Code for design and architecture; Jules for continuous autonomous execution — compressing platform engineering timelines from months to weeks
  • Broad vertical coverage: 40+ modules spanning healthcare (OpenEMR), education (Moodle), banking (Cyclos), ERP (Odoo), and a full AI/LLM stack — no custom builds required
  • Certification-based upskilling: Every RAD module maps to associate or professional Google Cloud certification objectives across 5 certifications
  • Production-grade from day one: Security, observability, CI/CD and FinOps controls baked into every module — never bolted on later
  • Continuously improving platform: Jules keeps running after the initial engagement — handling maintenance, patching and compliance as a background process
Most modernization programs deliver a project. RAD + CAMP + AI delivers a platform — one that continues to improve long after the initial engagement ends.

The Best of Breed

CAMP (Google Cloud) · RAD (Google Cloud partner platform, 13-year relationship) · Jules (Google Labs, powered by Gemini) · Claude Code (Anthropic) — a coherent, deeply integrated stack. Over 40 production-ready modules covering AI/LLM, workflow automation, healthcare, education, banking and developer platforms.

Take the Next Step

Book a Jumpstart Session

A no-obligation 2-hour session to assess your current platform maturity, identify your CAMP path, and see RAD in action. Walk away with a prioritised modernization roadmap.

Contact

Dr. Shiyghan Emmanuel Navti

sales@techequity.cloud

+44-7966265130  ·  https://docs.radmodules.dev