Serverless Cloud Development: Runtime Environments

Serverless    |    Intermediate
  • 12 Videos | 1h 26m 7s
  • Includes Assessment
  • Earns a Badge
A fundamental aspect of cloud development is choosing the most suitable serverless computing framework provider and serverless environment development language for your serverless application project. Use this course to identify the languages used for serverless application development and the prominent serverless computing systems and their languages and runtimes. Getting hands-on, use the three most popular serverless computing services to set up local development environments. Then, deploy a reporting service using Serverless Framework Open Source CLI and serverless Azure Functions using Python and Visual Studio Code. When you're done with this course, you'll be equipped with the know-how to choose the ideal serverless computing provider and language for your deployment tasks.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    list the major serverless providers and the popular serverless frameworks that enable developers to explore the aspects of serverless computing
    recall the languages that can be used to develop serverless applications for diversified serverless providers
    compare the prominent AWS Lambda–supported languages from the perspective of cold start performance, warm performance, cost, and ecosystem
    recognize the types of Cloud Functions provided by GCP to implement serverless applications along with the language runtimes supported by GCP to write Cloud Functions
    describe the features of Azure Functions and outline how to select the right programming language to implement Azure Functions Runtime
  • set up a local development environment to build serverless applications using AWS and prominent open source tools
    set up a local development environment for Google Cloud Functions to manage Cloud Functions deployment and use for local testing and debugging
    set up a local development environment to create, test, and debug Azure Functions app projects
    create and deploy serverless Azure Functions in Python using Visual Studio Code
    install Serverless Framework Open Source CLI and deploy a sample service in the cloud that reports deployment information and operational metrics to the Serverless Framework dashboard
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 1s
    UP NEXT
  • Playable
    2. 
    Major Serverless Providers and Frameworks
    10m 40s
  • Locked
    3. 
    Languages for Serverless Apps
    7m 16s
    FREE ACCESS
  • Locked
    4. 
    Languages for AWS Lambda
    8m 12s
    FREE ACCESS
  • Locked
    5. 
    Languages for Google Cloud Functions
    5m 33s
    FREE ACCESS
  • Locked
    6. 
    Languages for Azure Functions
    4m 22s
    FREE ACCESS
  • Locked
    7. 
    Setting up Local Development Env for AWS Serverless
    9m 17s
    FREE ACCESS
  • Locked
    8. 
    Setting up Local Development Env for Cloud Functions
    13m 57s
    FREE ACCESS
  • Locked
    9. 
    Setting up Local Development Env for Azure Functions
    6m 41s
    FREE ACCESS
  • Locked
    10. 
    Deploying Serverless Functions
    7m 24s
    FREE ACCESS
  • Locked
    11. 
    Working with Open Source Serverless Framework
    9m 2s
    FREE ACCESS
  • Locked
    12. 
    Course Summary
    1m 43s
    FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

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