Migrating from UiPath to Azure Functions & AWS Lambda

The VM Overhead: Running unattended robots on dedicated Windows virtual machines costs thousands in OS licenses, patching, and compute idle time.
Event-Driven Serverless: Modernizing suitable workflows into Azure Functions or AWS Lambda executes in milliseconds at fractions of a cent per run.
API Resilience: Eliminates UI selector failure modes permanently.

1. Why Migrate from Screen Scraping to Cloud APIs

When Robotic Process Automation was initially introduced, legacy systems lacked modern interfaces. Today, nearly all major software vendors (Workday, Salesforce, ServiceNow, SAP S/4HANA) provide high-performance REST and GraphQL endpoints. Running an unattended robot to click through browser tabs when an API is available adds unnecessary fragility and cost.

2. How to Identify Migration Candidates

Focus first on backend transactional workflows: data syncs, automated report generation, invoice matching against accounting APIs, and webhook-driven database updates. If a workflow does not strictly require logging into an interface that lacks an API, it is an immediate candidate for cloud modernization.

3. The Target Serverless Architecture

A typical serverless replacement uses an Amazon SQS or Azure Service Bus queue, triggers an AWS Lambda or Azure Function written in Python or TypeScript, retrieves vaulted credentials from AWS Secrets Manager or Azure Key Vault, and writes directly into the destination database.

Need help modernizing legacy RPA workflows?

KoinArc Labs designs and implements cloud and API migrations, transitioning fragile bots into resilient, cost-effective serverless architectures.

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