Handling Long-Running Tasks in a Serverless Architecture
Serverless architectures, powered by cloud providers like AWS Lambda, Azure Functions, and Google Cloud Functions, have revolutionized the way we build and scale applications.Their event-driven nature, auto-scaling capabilities, and pay-per-use model make them highly attractive for many workloads.However, one challenge persists: handling longrunning tasks.Serverless functions are designed to be short-lived, often limited to a few minutes per execution.This limitation requires rethinking how we process tasks that take longer than a single function invocation.In this article, we'll explore strategies to handle long-running tasks efficiently in a serverless environment, while maintaining scalability, reliability, and cost-effectiveness.
Authors
- Akshay Pratinav
Institutions
- Intuit (United States) (US)
Publication Details
- Journal
- ISCSITR-INTERNATIONAL JOURNAL OF CLOUD COMPUTING
- Published
- 2025-09-23
- DOI
- https://doi.org/10.63397/iscsitr-ijcc_2025_06_05_001
- Primary Topic
- Distributed systems and fault tolerance
- Type
- article
- Field-Weighted Citation Impact
- 0.00