Fargate vs. Lambda has recently been a trending topic in the serverless space. Fargate and Lambda are two popular serverless computing options available within the AWS ecosystem. While both tools offer serverless computing, they differ regarding use cases, operational boundaries, runtime resource allocations, price, and performance. This blog aims to take a deeper look into the Fargate vs. Lambda battle.
What Is AWS Fargate?
AWS Fargate is a serverless computing engine offered by Amazon that enables you to efficiently manage containers without the hassles of provisioning servers and the underlying infrastructure. When cluster capacity management, infrastructure management, patching, and provisioning resource tasks are removed, you can finally focus on delivering faster and better quality applications. AWS Fargate works with Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS), supporting a range of container use cases such as machine learning applications, microservices architecture apps, on-premise app migration to the cloud, and batch processing tasks.