Lambda is a platform that enables developers to build and run serverless applications. It provides all the infrastructure necessary for running code without the need to manage servers, making it highly scalable and cost-effective.
Lambda was launched by Amazon Web Services in November 2014.
It was initially released as a part of Amazon's suite of AWS cloud computing services.
Since its launch, Lambda has become a popular platform for serverless computing and has been adopted by many enterprises and startups alike.
Google Cloud Functions is the serverless computing platform of Google Cloud Platform. It allows users to run event-driven serverless applications without the need to manage infrastructure.
Azure Functions is the serverless computing platform of Microsoft's Azure cloud computing service. It provides a serverless environment to build and run event-driven applications at scale.
IBM Cloud Functions is the serverless computing platform of IBM Cloud. It allows developers to build and run event-driven serverless applications using popular programming languages.
The core product of Lambda, it allows users to run code in response to events or HTTP requests. It supports a wide range of programming languages including Node.js, Python, Java, and C#.
Lambda Layers is a way to centrally manage code and data dependencies that are shared across multiple functions. It allows developers to manage common components separately from their application code.
Lambda@Edge allows developers to run Lambda functions at AWS Edge locations, providing low-latency processing of HTTP requests. It's commonly used for website acceleration, content processing, and security.
Lambda is a serverless computing platform that allows developers to build and run applications without the need to manage servers. It works by executing code in response to events or HTTP requests, and automatically scales based on incoming traffic. By removing infrastructure management, Lambda makes it easier to build highly scalable and cost-effective applications.
Lambda supports a wide range of programming languages including Node.js, Python, Java, C#, Ruby, and Go. It also supports custom runtimes, allowing developers to bring their own language runtimes and libraries.
Lambda pricing is based on the number of requests and the amount of compute time it takes to run the code. Users are charged for the number of requests, rounded up to the nearest 100ms, and the amount of memory their function uses during execution. There are no upfront or minimum fees, and users only pay for what they use.
Lambda Layers is a way to centrally manage code and data dependencies across multiple functions. It allows developers to manage common components separately from their application code, making it easier to share code between different functions and projects.
Lambda@Edge is commonly used for website acceleration, content processing, and security. It can be used to add custom headers, modify responses, and perform authentication and authorization checks at the Edge locations. It can also be used to dynamically generate content, and to route requests to the closest or most appropriate server based on user location or other criteria.