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No equivalent SaaS tool exists

App Modernization (AI)

Decompose legacy monoliths into cloud-native microservices — without a rewrite, without a multi-year engagement, and without 18 months of runway.

Every multi-year engagement quotes $500K–$2M and 12–18 months to replatform a monolith. There is no SaaS product that automates this — until now. QuickCloud's AI maps your service boundaries, detects dependency coupling, and guides your team through incremental extraction with parallel-run validation and 1-click rollback at every step.

Remote Code Scanner — Enterprise Security Built In

QuickCloud connects to your dev or CI servers via secure SFTP/FTP and analyzes your codebase in place. Your source code never leaves your infrastructure — no uploads, no third-party storage, no compliance risk.

How It Works

QuickCloud App Modernization ecosystem and end-to-end lifecycle
1

Discovery & Analysis

Connect QuickCloud's Remote Code Scanner to your dev or CI server via SFTP/FTP. Your code never leaves your infrastructure. QuickCloud builds a complete dependency map — call graphs, data access patterns, coupling scores, and domain logic — and produces an AI-generated service boundary proposal for your review.

2

Restructure — Wave Planning & Boundary Design

Organize your migration into waves. The AI identifies natural seam points and proposes a decomposition order based on coupling risk and business priority. You review, adjust, and approve boundaries before any code is generated. A pre-flight Docker sandbox simulates each extraction — showing every dependency change, interface contract, and extraction risk before you commit.

3

Modernize — Code Translation & Compile Validation

Each bounded context is extracted and translated wave by wave. Backend services are rewritten to target runtimes (Spring Boot, .NET 8, FastAPI, etc.). Frontend screens are replatformed to React, Vue, or Angular components. API contracts are regenerated as gRPC protos or GraphQL schemas. Every artifact is compile-validated before proceeding.

4

Standalone — Parallel-Run Validation & Cutover

The extracted microservice runs alongside the original monolith on real traffic. Outputs are compared automatically — behavioral divergence is flagged before cutover. Built-in observability and telemetry give you live confidence metrics. When ready, route production traffic with 1-click rollback available at every step.

Key Capabilities

Remote Code Scanner

Secure SFTP/FTP analysis directly on your servers — your source code never leaves your infrastructure. No uploads, no compliance risk.

AI Service Boundary Detection

Coupling analysis, data ownership mapping, and DDD heuristics — not just grep for class names.

Wave-Based Migration Planning

Organize extractions into waves by business priority and coupling risk. Track wave progress with phase gate enforcement and audit trails.

Pre-flight Docker Sandbox

Before any code is generated, a Docker sandbox simulates the extraction — showing every dependency change, interface contract, and risk in advance.

Code Translation & Compile Validation

Backend services are translated to target runtimes; frontend screens replatformed to React/Vue/Angular. Every artifact is compile-validated before proceeding.

Screens & Data Modernization

UI component extraction to React, Vue, or Angular. API contract regeneration as gRPC protos or GraphQL schemas — not just backend refactoring.

Parallel-Run Validation

Old monolith and new service run side-by-side on real traffic. Behavioral divergence is caught before cutover.

Observability & Telemetry

Built-in metrics and live confidence tracking during parallel run — know your extracted service is healthy before routing production traffic.

Phase Gate Enforcement

80% checklist completion required before each phase advances. Audit evidence generated automatically.

1-Click Rollback

Every extraction is reversible. One click undoes exactly what was created — no manual cleanup.

Demo Studio

Convert any phase recording into a branded executive presentation or training video for stakeholder sign-off.

All AI Costs Included

Codebase analysis, boundary detection, and code generation inference are all bundled into the subscription.

Supported Technologies

Legacy sources QuickCloud can ingest and modernize

Java & JVM Languages

.java (Java).kt / .kts (Kotlin).scala (Scala).groovy / .gradle (Groovy)Java EE / Jakarta EESpring MVC / Spring BootEJB (Session, Entity, MDB)JSF / Struts / WicketHibernate / JPAJMS / ActiveMQ / IBM MQWAR / EAR / WebLogic / JBoss

.NET Languages

.cs (C#).vb (VB.NET).fs / .fsx (F#).NET Framework 4.xASP.NET Web Forms / MVCWCF ServicesWPF / WinFormsEntity Framework 6MSMQ / IIS-hosted services

JavaScript & TypeScript

.js / .mjs / .cjs (JavaScript).ts / .mts / .cts (TypeScript).jsx / .tsx (React)Node.js (legacy)Express monolithsTypeScript services

Frontend Frameworks

.vue (Vue.js).svelte (Svelte).astro (Astro)Angular (.ts)Legacy JSP / JSF screensLegacy Razor Views (.cshtml)Component extractionDesign system migration

Python & Data Science

.py (Python).ipynb (Jupyter Notebook).r (R)Django (legacy versions)Flask monolithsCelery task queuesSQLAlchemy ORMWSGI applications

Systems & Scripting Languages

.go (Go).rs (Rust).php (PHP).rb (Ruby).c / .h (C).cpp / .cc / .cxx / .hpp (C++).sh / .bash / .ksh (Shell).ps1 / .psm1 (PowerShell)

API & Service Contracts

OpenAPI / Swagger (.yml / .yaml / .json).graphql / .gql (GraphQL).proto (gRPC)REST API (content-classified)gRPC proto generationGraphQL schema restructuring

Infrastructure & Cloud Config

Dockerfile / .dockerfile.tf / .tfvars (Terraform).bicep (Azure Bicep).yml / .yaml (Kubernetes manifests).helm / .helmfile (Helm charts)GitHub Actions / Ansible (.yml)Jenkinsfile (CI/CD pipeline)

Data, Config & Documentation

.sql / .ddl / .prisma / .dbschema / .schema (database schemas).xml / .json / .csv / .dat / .data.yml / .yaml / .properties.ini / .cfg / .config / .conf.migration / .migrate (DB migrations).css / .scss / .sass / .less.htm / .html.md / .txt / .text / .log

Target Runtimes

Spring Boot microservices.NET 8 / ASP.NET CoreFastAPI / Django RESTNode.js / ExpressDocker / KubernetesAWS LambdaGoogle Cloud RunAzure Container Apps

Data Layer Modernization

Oracle → PostgreSQL / AuroraSQL Server → Azure SQL / RDSMySQL schema splittingShared DB decompositionEvent sourcing migrationCDC for zero-downtime split

Integration & Messaging

REST API extractiongRPC proto generationGraphQL schema restructuringKafka event bridgeAPI gateway insertionSync → async conversionCircuit breaker patterns

Frequently Asked Questions

QuickCloud supports Java EE / Jakarta EE monoliths, .NET Framework applications (C#, VB.NET, F#), Python 2.x and legacy Django/Flask apps, legacy Node.js and TypeScript services, Go, Rust, PHP, Ruby, Scala, Groovy, R, and more. Frontend frameworks include Vue, Svelte, Astro, and Angular. Infrastructure config (Terraform, Kubernetes, Helm, Dockerfile) and API contracts (OpenAPI, GraphQL, gRPC) are also inventoried. 33 distinct asset types in total.
No. QuickCloud uses AI-powered service boundary detection to identify natural seam points in your monolith — where it can be incrementally extracted into microservices without a full rewrite. You can modernize one bounded context at a time, validating each step before moving to the next.
The AI analyzes call graphs, data ownership, dependency coupling, and domain logic to identify candidate service boundaries. It produces a decomposition map showing which modules have tight vs. loose coupling, where shared state exists, and what the safest extraction order is. You review and approve the proposed boundaries before any code is generated.
A rewrite discards your existing code and rebuilds from scratch — typically 18–36 months and multi-million dollar budgets. Replatforming preserves your business logic and incrementally transforms it into a modern architecture. QuickCloud automates the transformation layer, so your team focuses on architecture decisions rather than line-by-line code conversion.
QuickCloud runs parallel-run validation — the original monolith and the extracted microservice process the same requests simultaneously, and outputs are compared automatically. Any behavioral divergence is flagged before cutover. Phase gate enforcement ensures no migration step advances until validation passes.
A single bounded context extraction typically takes 2–6 weeks depending on complexity. Full monolith decomposition timelines vary by application size: 10 services or fewer: 2–4 months; 10–40 services: 3–6 months; 40+ services: 6–12 months. QuickCloud's assessment phase produces a specific timeline estimate for your application in the first week.
Yes. Shared databases are one of the hardest parts of monolith decomposition. QuickCloud maps data ownership to identify which tables belong to which service, detects cross-service data coupling, and recommends a database-per-service migration path. It integrates with the Database Migration product for zero-downtime database splitting.
Absolutely. App Modernization is designed primarily for SaaS teams with legacy Java EE, .NET, or Python monoliths — not mainframe systems. Mainframe modernization is a separate QuickCloud product. If your team is struggling with a hard-to-scale monolith, long deploy cycles, or architecture that blocks velocity, this product is built for you.

Cloud Agnostic by Design

QuickCloud targets any cloud or hosting environment — no vendor lock-in, no forced migration path.

AWS
Azure
Google Cloud
On-Premises
Hybrid
Multi-Cloud

Measurable Outcomes

🛡️

Lower Risk

Phase gates, pre-flight sandboxes, and parallel-run validation catch issues before they reach production.

Faster Time to Value

Wave-based delivery means services go live incrementally — teams see results in weeks, not years.

💰

Lower Cost

Replace $500K–$2M consulting engagements with a SaaS subscription your own team controls.

📈

Higher ROI

Cloud-native services unlock auto-scaling, reduced infrastructure overhead, and faster deployment velocity.

🏢

Enterprise Grade

Audit trails, role-based access, secure remote scanning, and compliance-ready reporting built in.

Start with a Free Assessment

Connect your repository and get a service boundary map, coupling analysis, and estimated decomposition timeline — in your first week, no commitment required.