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.

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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
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article

Handling Long-Running Tasks in a Serverless Architecture

Akshay Pratinav
ISCSITR-INTERNATIONAL JOURNAL OF CLOUD COMPUTING
Distributed systems and fault tolerance
article

Handling Long-Running Tasks in a Serverless Architecture

Akshay Pratinav
article en

Abstract

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.

ISCSITR-INTERNATIONAL JOURNAL OF CLOUD COMPUTINGVol. 6(5)
Intuit (United States) (US)
Openalex Percentile: Top 70%
Distributed systems and fault tolerance
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