Kubernetes and AWS Lambda for Serverless Computing: Optimizing Cost and Performance Using Kubernetes in a Hybrid Serverless Model
Ali Syed, Shujat Ali · International Journal of Emerging Trends in Computer Science and Information Technology · 2024
By allowing developers to focus on the code free from the weight of infrastructure management, serverless computing has changed the cloud utilization. With its automatic scalability & pay-as---you-go pricing structure, top serverless solution AWS Lambda is the best for event-driven apps. AWS Lambda has constraints in the cost effectiveness for high-throughput applications, execution time restrictions & the vendor lock-in even if it provides benefits. In this sense, Kubernetes is really vital. Open-source container orchestration systems are beneficial because of enhanced flexibility, cost control, and ability to run tasks across different cloud providers or on-site infrastructure. One really useful tool for Kubernetes is While improving cost economy and performance, the combination of AWS Lambda with Kubernetes in a hybrid serverless architecture helps companies to guarantee scalability and ease maintenance. While running event-driven, lightweight operations on AWS Lambda, this approach helps companies create more robust, resource-demanding applications on Kubernetes clusters. The hybrid model helps applications to exploit the effectiveness of serverless services while avoiding too high expenses related with extended operations. Kubernetes is a useful tool for maximizing workloads depending on real-time demand as it gives better control over resource allocation. This paper highlights how smart workload distribution may help companies achieve cost savings; intelligent workload placement may increase application responsiveness; hybrid design can help to enhance system reliability. Combining Kubernetes with AWS Lambda helps companies create a scalable, reasonably priced, high-performance cloud infrastructure fit for the modern application needs. This paper emphasizes the importance of harmonizing serverless & the containerized workloads to maximize the efficiency & reduce operational overhead. Regardless of their priorities—cost, performance or flexibility—this hybrid approach provides a sensible answer for the companies negotiating the complexities of cloud computing