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Platform Capability · Proxy as a Service

Proxy as a Service, built into Quantum DataFactory

Managed, geo-distributed proxy for every Quantum Machine — provisioned at runtime, configured through the platform, and invisible to your existing code. Stop coupling proxy management to application logic.

Machine config Platform provisions proxy Workflow runs unchanged

Zerocode changes
One settingmachine level
Centralizedrouting & audit
Consistentevery environment
// how proxy is provisioned
Configure at machine level
one setting, no code
Platform provisions runtime
proxy attached transparently
Machine runs as-is
standard HTTP libraries, existing logic
Centralized control
rotate, audit, and route from one place
The problem

The infrastructure work hiding inside every data pipeline

Modern data automation constantly talks to public websites, APIs, and external data sources. Many of those workloads need geographically distributed IP addresses, managed outbound connectivity, or controlled network routing to run reliably at scale.

Every data-extraction script ends up carrying infrastructure code it shouldn't own.

The traditional way to get there is painful. Developers have to select a proxy provider, wire up authentication, update application code with proxy-aware HTTP calls, rotate endpoints when they fail, and maintain the networking layer over time.

The result: proxy logic gets tightly coupled with business logic, every team reinvents the same plumbing, and long-term maintenance quietly consumes engineering capacity.

Our approach

Proxy as a platform capability

Instead of asking developers to write proxy-specific code, we built Proxy as a Service directly into the Quantum DataFactory platform.

With a simple machine-level configuration, Quantum DataFactory automatically provisions the required proxy configuration at runtime. The platform manages the networking layer transparently, and existing Quantum Machines continue running without any modifications.

From a Machine Developer's perspective, nothing changes. Developers keep using standard HTTP libraries and the same business logic, while the platform handles proxy configuration seamlessly behind the scenes.

What changes

What this means for our customers

Six operational changes teams feel the day they turn it on.

01

No changes to existing code

Every Quantum Machine you've already built keeps running. Standard HTTP libraries, unchanged business logic — the proxy layer is invisible to your application.

02

Enabled by platform config

Turn on proxy support with a machine-level setting. No provider onboarding scripts, no auth wiring in application code, no proxy-rotation logic to maintain.

03

Centralized management

One place to manage proxy configuration, credentials, and routing rules across every workflow — instead of scattered configs inside each machine.

04

Seamless workflow integration

Proxy execution is part of the platform's runtime. Workflows, scheduling, retries, and monitoring behave the same whether proxy is on or off.

05

Simplified data-extraction deployment

Public-web data collection, API integrations, and enterprise automation ship faster because the networking layer isn't a project.

06

Consistent across environments

The same platform configuration governs proxy behavior in development, testing, and production — no environment-specific proxy code drift.

The pipeline

How it works

Machine config → platform provisions proxy → workflow runs unchanged.

Machine Config Runtime Provisioning Proxy Attached Central Audit
01

Enable at the machine level

Turn on proxy support in the machine's configuration. No HTTP client refactor, no environment variables to shuffle.

02

Platform provisions the proxy at runtime

When the workflow executes, Quantum DataFactory attaches the required proxy configuration transparently — including endpoint selection and authentication.

03

Your machine runs unchanged

The Quantum Machine executes exactly as it always has, using standard HTTP libraries. All proxy handling is abstracted away.

04

Centralize routing and audit

Manage proxy credentials, routing rules, and usage centrally through the platform — with visibility into which workflows used which routes.

Who it's for

Who this is for

Especially valuable when outbound connectivity and network routing are critical.

Data extraction teams

Public-web data collection at scale — the proxy layer becomes a platform capability, not a per-script problem.

API integration owners

Integrations that need controlled outbound connectivity or specific network routing work reliably without custom infrastructure.

Enterprise automation

Workflows that touch external systems inherit consistent, audited outbound behavior across every environment.

Machine developers

Ship business logic, not networking plumbing. Standard HTTP libraries, standard code, platform-managed connectivity.

Why it matters

Why this matters

Infrastructure capabilities should be delivered as platform services — not implemented repeatedly inside every application. Proxy as a Service is another step toward making Quantum DataFactory a comprehensive platform for building, deploying, and operating enterprise-grade data automation workflows.

The outcome

Proxy management moves out of your application code and into the platform. Engineering teams spend time on business solutions, not on maintaining proxy infrastructure.

FAQ

Frequently asked questions

What is Proxy as a Service (PaaS)?
Proxy as a Service is a managed proxy capability delivered by the platform instead of implemented inside each application. In Quantum DataFactory, it means proxy configuration is provisioned at runtime by the platform — developers don't wire up proxy providers, authentication, or rotation in their code.
Do I need to change my existing Quantum Machine code?
No. Existing machines keep running unchanged. Standard HTTP libraries and existing business logic continue to work — the platform attaches proxy configuration transparently at runtime.
How do I enable proxy for a machine?
Turn it on with a machine-level configuration setting in Quantum DataFactory. The platform then provisions the required proxy configuration when the workflow runs.
Is Proxy as a Service the same as buying a proxy pool?
No. A proxy pool gives you IP addresses; you still write and maintain the proxy code. Proxy as a Service delivers the whole capability — provisioning, authentication, rotation, and routing — as a platform service.
Which use cases benefit most?
Data extraction, public-web data collection, API integrations, and enterprise automation workflows where outbound connectivity and network routing are critical.
Is the configuration the same across environments?
Yes. The same platform configuration governs proxy behavior in development, testing, and production — so behavior stays consistent without environment-specific proxy code.

Ship data workflows without owning the proxy layer

Try Proxy as a Service in Quantum DataFactory. No infrastructure to manage, no code changes to existing Quantum Machines.