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Installing and Using Cargo Lambda Overview

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Manage episode 446958904 series 3610932
Content provided by Pragmatic AI Labs and Noah Gift. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pragmatic AI Labs and Noah Gift or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Episode Notes

  • Introduction to Cargo Lambda

    • Interacts with AWS Lambda ecosystem from the terminal
    • Enables native running, building, and deployment of Lambda functions
    • No need for containers or VMs
  • Installation Options

    • Homebrew (recommended for macOS and Linux)
    • Scoop for Windows
    • Docker and Nix as alternatives
    • Binary release or building from source
  • Getting Started

    • Use cargo lambda new to create a project
    • Directory structure includes package management, default code, compiler, and linter
    • cargo lambda watch for immediate code writing
    • cargo lambda invoke for testing with JSON payloads
  • Web Framework Support

    • Ability to expose microservices with HTTP interfaces
  • Deployment Process

    • cargo lambda build --release for building (including ARM64 support)
    • cargo lambda deploy for straightforward deployment
  • Additional Features

    • Verbose mode and tracing options available
    • Integration with GitHub Actions and AWS CDK
  • Advantages of Cargo Lambda

    • Leverages the robust Rust ecosystem
    • Modern package management with Cargo
    • Potentially easier than scripting languages for Lambda development

Key Takeaways

  1. Cargo Lambda offers a superior method for interacting with AWS Lambda compared to scripting languages.
  2. The tool provides a streamlined workflow for creating, testing, and deploying Lambda functions.
  3. It leverages the Rust ecosystem, offering modern package management and development tools.
  4. Cargo Lambda supports both function-based and web framework approaches for Lambda development.
  5. The ease of use and integration with AWS services make it an attractive option for Lambda developers.

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

  1. 🔥 edX 🔥
  2. 💬 Discord Community 💬
  3. 🌟 Coursera 🌟
  4. 🌟 Future Learn 🌟
  5. 🌟 Linkedin Learning 🌟
  6. 🌟 DS500 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

  continue reading

143 episoade

Artwork
iconDistribuie
 
Manage episode 446958904 series 3610932
Content provided by Pragmatic AI Labs and Noah Gift. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pragmatic AI Labs and Noah Gift or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Episode Notes

  • Introduction to Cargo Lambda

    • Interacts with AWS Lambda ecosystem from the terminal
    • Enables native running, building, and deployment of Lambda functions
    • No need for containers or VMs
  • Installation Options

    • Homebrew (recommended for macOS and Linux)
    • Scoop for Windows
    • Docker and Nix as alternatives
    • Binary release or building from source
  • Getting Started

    • Use cargo lambda new to create a project
    • Directory structure includes package management, default code, compiler, and linter
    • cargo lambda watch for immediate code writing
    • cargo lambda invoke for testing with JSON payloads
  • Web Framework Support

    • Ability to expose microservices with HTTP interfaces
  • Deployment Process

    • cargo lambda build --release for building (including ARM64 support)
    • cargo lambda deploy for straightforward deployment
  • Additional Features

    • Verbose mode and tracing options available
    • Integration with GitHub Actions and AWS CDK
  • Advantages of Cargo Lambda

    • Leverages the robust Rust ecosystem
    • Modern package management with Cargo
    • Potentially easier than scripting languages for Lambda development

Key Takeaways

  1. Cargo Lambda offers a superior method for interacting with AWS Lambda compared to scripting languages.
  2. The tool provides a streamlined workflow for creating, testing, and deploying Lambda functions.
  3. It leverages the Rust ecosystem, offering modern package management and development tools.
  4. Cargo Lambda supports both function-based and web framework approaches for Lambda development.
  5. The ease of use and integration with AWS services make it an attractive option for Lambda developers.

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

  1. 🔥 edX 🔥
  2. 💬 Discord Community 💬
  3. 🌟 Coursera 🌟
  4. 🌟 Future Learn 🌟
  5. 🌟 Linkedin Learning 🌟
  6. 🌟 DS500 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

  continue reading

143 episoade

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