App Builder GCP

This tool enables rapid planning of Google Cloud deployments by translating project scope into a concrete architecture. It analyzes workload type, expected traffic, data needs, and regional constraints to propose a saturated, scalable GCP design with suitable services such as Compute Engine, Kubernetes Engine, or Cloud Run, plus storage and networking components. The core logic maps inputs to a recommended resource mix and redundancy strategy, while providing a transparent cost forecast aligned with current GCP pricing. The output supports architecture decisions early in a project lifecycle, reducing rework during implementation. It is especially valuable for platform teams, software engineers, and IT leaders who must balance performance, reliability, and budget. The tool emphasizes reproducible designs, scenario comparison, and evidence-based sizing to improve predictability and governance. By combining service recommendations, sizing guidance, and cost estimates, it helps teams justify choices and accelerate onboarding for new cloud initiatives. The approach favors modular architectures that can evolve with demand, enabling staged deployments and efficient cost control. The result is a clear, executable plan that can be handed to cloud engineers for implementation and budgeting.