Key Differences Lambda vs. Serverless AWS Understanding AWS Computing

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Published a month ago

Key differences between Lambda and serverless computing on AWS explained.

Lambda and serverless computing on AWS are two closely related concepts, but they are not exactly the same thing. In this blog post, we will discuss the key differences between Lambda and serverless AWS.Lets start with Lambda. AWS Lambda is a serverless computing service that allows you to run code without provisioning or managing servers. With Lambda, you can upload your code, and AWS will automatically scale and manage the infrastructure required to run it. You only pay for the compute time that your code consumes. Lambda supports code written in Node.js, Python, Java, and other languages.On the other hand, serverless computing on AWS is a broader concept that encompasses various AWS services, including Lambda, API Gateway, DynamoDB, S3, and others. Serverless computing allows you to build and deploy applications without managing servers, databases, or other infrastructure components. It abstracts away the underlying infrastructure and allows you to focus on writing code and delivering business value.One of the key differences between Lambda and serverless AWS is the scope of the service. Lambda is a specific service for running code, while serverless computing on AWS is a general approach to building applications. With Lambda, you can run individual functions or pieces of code in response to events. With serverless computing on AWS, you can build complete applications by combining various serverless services.Another difference between Lambda and serverless AWS is the pricing model. With Lambda, you pay for the compute time that your code consumes in 100millisecond increments. There is no charge when your code is not running. With serverless AWS, you pay for the resources consumed by your application, including but not limited to compute, storage, and network resources. The pricing model for serverless AWS varies depending on the services you use and how you configure them.Scalability is another key difference between Lambda and serverless AWS. With Lambda, AWS automatically scales the underlying infrastructure based on the number of incoming requests. You dont need to worry about provisioning servers or managing capacity. With serverless AWS, you can also benefit from automatic scaling, but you have more flexibility to customize the scaling behavior based on your applications needs.Integration with other AWS services is also a key difference between Lambda and serverless AWS. Lambda can be easily integrated with other AWS services, such as S3, DynamoDB, SQS, and others, using triggers and event sources. With serverless AWS, you can build complex applications by combining various serverless services and integrating them with other AWS services.In conclusion, Lambda is a specific service for running code in a serverless manner, while serverless computing on AWS is a broader approach to building applications without managing servers. Lambda is a core component of serverless computing on AWS, but it is not the only service you can use. By combining various serverless services on AWS, you can build scalable, costeffective, and reliable applications that can quickly adapt to changing business requirements.

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