Lambda

Forget Aws Lambda Kubernetes and Fargate What We Need Is Beyond All Three

Forget Aws Lambda Kubernetes and Fargate What We Need Is Beyond All Three

In 2018 I wrote Forget AWS Lambda, so long Kubernetes, this is the future of serverless here on diginomica. My point in that article being that the future of computation was not going to be neither Functions-as-a-Service (FaaS) offerings, such as AWS Lambda, nor the management of fleets of servers to operate containers, as is necessary for Kubernetes.

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Forget AWS Lambda, so long Kubernetes – this is the future of serverless

Forget AWS Lambda, so long Kubernetes – this is the future of serverless

Last year I wrote an article on what serverless computing is all about. In that article, I described that while serverless computing doesn’t remove servers, it moves the management of servers to the cloud computing provider, away from your development and IT organization. It removes complexity from application management and enables easier and more significant scaling by sharing server resources across a larger set of consumers.

But last year, when you said ‘serverless computing’, you were almost exclusively referring to Function-as-a-Service (FaaS) technologies such as AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions. While there are other serverless technologies – such as serverless data stores and databases – these functional computing services were usually what you meant when you were referring to ‘serverless computing’.

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AWS Lambda v Amazon ECS — Two Paths To One Goal, Which Is Best?

AWS Lambda v Amazon ECS — Two Paths To One Goal, Which Is Best?

Launched in parallel two and a half years ago by Amazon Web Services (AWS), AWS Lambda and Amazon EC2 Container Service (ECS) are two distinct services that each offer a new, leaner way of accessing compute resources. Amazon ECS lets developers tap into container technology on a pay-as-you-go basis. AWS Lambda offers what is often known as ‘serverless’ computing, or function-as-a-service — the ability to access specific functions, again on pay-as-you-go terms.

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