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What languages does AWS Lambda support?

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AWS Lambda supports a variety of programming languages, allowing developers to choose the language that best fits their application requirements and preferences. As of the latest update, AWS Lambda supports the following languages:

  1. Node.js:

    • JavaScript (Node.js 10.x, 12.x, 14.x, 16.x)
  2. Python:

    • Python (Python 2.7, Python 3.6, Python 3.7, Python 3.8, Python 3.9)
  3. Java:

    • Java (Java 8, Java 11)
  4. Go:

    • Go (Go 1.x)
  5. Ruby:

    • Ruby (Ruby 2.5)
  6. .NET Core:

    • .NET Core (.NET Core 2.1, .NET Core 3.1, .NET 5.0)
  7. Custom Runtimes:

    • Additionally, AWS Lambda supports custom runtimes, allowing you to bring your own runtime. This flexibility enables you to use languages not directly supported by AWS Lambda by packaging them as a Lambda layer with a custom runtime interface.

Key Points:

  • Each supported language version in AWS Lambda is associated with specific runtime environments provided and maintained by AWS.
  • AWS Lambda runtimes include libraries and dependencies necessary for each supported language version.
  • When configuring a Lambda function, you specify the runtime environment, which determines the version of the language runtime used to execute your function.

Choosing a Language:

  • Node.js and Python are popular choices for their ease of use and rapid development capabilities.
  • Java is suitable for developers familiar with the language and enterprise applications.
  • Go offers strong performance and is well-suited for building scalable applications.
  • .NET Core supports development in C# or F# for those leveraging the .NET ecosystem.
  • Custom Runtimes extend Lambda's flexibility to support any language or version that can run in a Linux environment.

Benefits:

  • Diverse Development Options: Developers can select the language that best aligns with their skills and project requirements.
  • Serverless Flexibility: AWS Lambda's multi-language support enables building serverless applications with a wide range of capabilities and integrations.
  • Integration with AWS Services: Functions written in any supported language can seamlessly integrate with other AWS services, enhancing application functionality and automation.

AWS Lambda's support for multiple languages contributes to its popularity among developers seeking scalable and cost-effective solutions for serverless computing on the AWS cloud platform.

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