Case Study
A privacy-first Cloudflare management platform designed for secure multi-account operations.
aioflare simplifies Cloudflare management across multiple accounts while maintaining strong security guarantees.
It enables bulk DNS operations, structured workspace management, and protects API credentials through a controlled server-side encryption system.
Product context
aioflare brings all your Cloudflare management into one secure, structured dashboard:
Architecture
aioflare is built as a distributed system combining a Next.js application layer with Supabase for data storage, and Cloudflare Workers for secure cryptographic operations.
The architecture is designed to separate concerns between user interaction, background processing, and sensitive key handling.
The frontend and API are handled by Next.js, deployed on Vercel, providing a unified interface for managing Cloudflare resources across multiple accounts.
Supabase is used for structured data storage, including users, workspaces, zones, and encrypted fields.
Sensitive data is never stored in plaintext and is always processed through controlled encryption flows.
All encryption and decryption operations are handled through a dedicated Cloudflare Worker.
This isolates the master key and ensures sensitive operations are executed outside the main application runtime.
All Cloudflare API interactions are routed through a controlled service layer, ensuring credentials are validated, scoped, and never exposed directly to the client.
Features
aioflare groups advanced Cloudflare workflows into clear capability areas—secure data handling, multi-account control, automation at scale, and collaboration—so complex estates stay manageable without sacrificing safety.
Use the dots below (or scroll vertically) to explore each area.
All sensitive data is encrypted server-side using a dedicated crypto worker, ensuring credentials are never exposed in plaintext.
Manage multiple Cloudflare accounts and zones from a single structured interface.
Perform large-scale operations efficiently without manual repetition.
Differentiator. This is one of aioflare’s strongest pillars—built for real throughput, not toy demos. Ini bagian kuat banget — jangan diremehkan.
Standardize configurations using reusable templates and profiles.
{{zone}} placeholders for dynamic valuesLong-running operations are handled asynchronously to ensure reliability and responsiveness.
Enable structured collaboration without exposing sensitive credentials.
Gain visibility and control over infrastructure changes and performance.
Small features designed to improve real-world usability.
Trust model
aioflare is built with a security-first approach, ensuring sensitive data is protected at every stage — from storage to processing.
Use the dots below (or scroll, then wheel) to move through each topic.
1. Security Principles
2. Encryption Model
All sensitive data is encrypted using a per-user key model.
Ciphertext = AES-256-GCM(DEK, IV, Plaintext)
3. Key Management
Encryption keys are isolated and protected using a layered approach.
4. Secure Processing Layer
Cryptographic operations are handled in an isolated environment.
5. Additional Protections
Wrap-up
aioflare is a practical SaaS slice: multi-tenant data, integrations with a real external API, background processing, and a security posture that matches the sensitivity of the domain.
It’s the kind of system where small design choices — encryption, queues, explicit tenancy — compound into something you can run for real users, not just a demo.