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AI-Powered Architecture Planning

Design Enterprise Cloud Architecture
in Minutes, Not Days

Describe your workload requirements. Opsible generates a production-ready architecture recommendation with Terraform templates, Kubernetes manifests, CI/CD pipelines, and cost estimates — instantly.

AWS Azure GCP Kubernetes Terraform GitOps HA/DR FinOps

Select Platform Mode

Choose the deployment profile that best matches your organization — this shapes every recommendation Opsible produces.

Who are you designing for?

Select your role — Opsible adapts defaults, depth, and recommendations to match how you think.

Or

Detail Level
All sections visible
01

Project Identity

Basic information about your project

02

Application Characteristics

Define the type and architectural style of your application

03

Traffic & Scale

Expected load and concurrency characteristics

Low <100 RPS · Medium 100-1K · High 1K-10K · Very High >10K
04

Workload Features

Select all capabilities your workload requires

05

Storage Requirements

Database and storage technology needs

06

Availability & Disaster Recovery

Define your resilience and recovery requirements

99.9% = 8.7h/yr · 99.99% = 52m/yr · 99.999% = 5m/yr
Recovery Time Objective — time to restore service
Recovery Point Objective — max acceptable data loss
07

Security & Compliance

Security controls and regulatory compliance requirements

08

Budget, Scaling & CI/CD

Cost constraints and deployment preferences

Startup <$5k · Growth $5k-25k · Enterprise $25k-100k
09

Cloud Native Tooling

Select your preferred tools — Opsible generates configs and templates for your stack

CI/CD Pipeline
GitOps
Infrastructure as Code
Container Orchestration
Service Mesh
Observability

Generation takes 1-3 seconds · Includes Terraform, K8s manifests, CI/CD pipeline & cost estimate

AI Architect Thinking

Designing your production-ready cloud infrastructure…

Analyzing workload requirements
Selecting optimal services
Applying HA & security patterns
Generating IaC exports
Running FinOps analysis

Quick-Load Sample Scenarios