Comprehensive Review of Performance Optimization Strategies for Serverless Applications on AWS Lambda
Mohamed Lemine El Bechir, Cheikh Sad Bouh, Abobakr Shuwail
TL;DR
This paper reviews recent research on optimizing performance, cost, and scalability of AWS Lambda serverless applications, covering techniques like resource management, runtime choices, and workload-aware strategies.
Contribution
It provides a comprehensive synthesis of current strategies and best practices for performance optimization in AWS Lambda serverless applications.
Findings
Effective resource management improves performance and cost efficiency.
Runtime selection significantly impacts application scalability.
Observability enhancements aid in diagnosing and optimizing serverless workloads.
Abstract
This review paper synthesizes the latest research on performance optimization strategies for serverless applications deployed on AWS Lambda. By examining recent studies, we highlight the challenges, solutions, and best practices for enhancing the performance, cost efficiency, and scalability of serverless applications. The review covers a range of optimization techniques including resource management, runtime selection, observability improvements, and workload aware operations.
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Taxonomy
TopicsSmart Grid Security and Resilience · IoT and Edge/Fog Computing · Network Security and Intrusion Detection