Serverless Cloud Development: Serverless Applications with Diverse Languages & Environments
Serverless
| Intermediate
- 14 Videos | 1h 47m 11s
- Includes Assessment
- Earns a Badge
There are diverse languages and environments to choose from when building serverless applications. Developers should know which one to employ for which intricate task. Use the demonstrations in this course to set up REST APIs and HTTP GET endpoints using Serverless, Express, Node.js, Java, Ruby, Python, Maven, and Gradle on AWS and GCP. Furthermore, deploy HTTP Node.js Azure Functions, publish a Java Function project to Azure Functions, deploy and test a sample Serverless app using AWS SAM, and build a Web API using Go and AWS Lambda. Upon completing this course, you'll be able to conduct various essential serverless application development activities using several prominent services, frameworks, and languages.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courseinstall and configure node dependencies to build and deploy REST APIs using Serverless, Express, and Node.js on AWSconvert an existing Node and Express-based application to a Serverless-friendly application in the clouduse Node.js to set up a simple HTTP GET endpoint on GCPdeploy a HTTP Node.js Azure Function and demonstrate how to read properties and set a result back to Azureset up a simple HTTP GET endpoint using Java and Maven or Gradle to build serverless applications on AWSset up a simple HTTP GET endpoint using Ruby on AWS to facilitate a serverless mechanism
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create a simple REST API with Python running on AWS Lambda and API Gateway using the traditional Serverless Frameworkconfigure and set up a simple Python HTTP GET endpoint on GCP Cloud Functionsbuild and publish a Java Function project to Azure Functions using the Gradle command-line toolbuild, deploy, and test a sample serverless application using AWS SAMbuild a Web API using Go and AWS Lambdaevaluate serverless computing environments invoking functions in parallel to demonstrate the performance and throughput of serverless computing for distributed data processingsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 57sUP NEXT
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2.Installing & Configuring Node Dependencies on AWS11m 24s
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3.Convert Existing Node Apps to Serverless8m 57s
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4.Using Node.js for Google Cloud Functions6m 49s
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5.Using Node.js to Write & Deploy Azure Functions6m 31s
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6.Developing Serverless Apps Using Java on AWS10m 59s
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7.Developing Serverless Apps Using Ruby on AWS5m 27s
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8.Developing Serverless Apps Using Python on AWS8m 50s
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9.Developing Serverless Apps Using Python for GCP7m 20s
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10.Using Java and Gradle to Build Azure Functions9m 42s
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11.Using AWS SAM to Manage Serverless Apps10m 28s
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12.Using Go and AWS Lambda to Build a Web API8m 12s
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13.Evaluating a Serverless Computing Environment9m
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14.Course Summary1m 36s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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