Optimizing Data Retrieval with Scripted REST APIs

[JakiP]

I've been working on implementing Scripted REST APIs in our application to improve data exchange with external systems. What are some advanced strategies or unique use cases for optimizing data retrieval and processing using Scripted REST APIs? Additionally, how do you handle security and performance concerns when dealing with high-volume data requests?

[Satishkumar B]

Hi @JakiP 

To optimize data retrieval with Scripted REST APIs in ServiceNow:

1. Efficient Queries: Query only necessary fields, use pagination, and ensure indexing.
2. Asynchronous Processing: Use for long-running operations to avoid timeouts.
3. Data Transformation & Caching: Transform data before sending and use caching for frequently accessed data.
4. Modular Code & Rate Limiting: Encapsulate logic in Script Includes and implement rate limiting.

Security & Performance:

1. Authentication: Use OAuth 2.0, API Keys, or Mutual TLS.
2. Data Validation: Validate and sanitize inputs to prevent attacks.
3. Encryption & Monitoring: Encrypt data and monitor API usage.
4. Scalability & Load Testing: Ensure APIs can scale and perform under load.

Use Cases: Real-time data processing, external API integration, and data aggregation for reporting.

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