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
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discover the key concepts covered in this courselist the major serverless providers and the popular serverless frameworks that enable developers to explore the aspects of serverless computingrecall the languages that can be used to develop serverless applications for diversified serverless providerscompare the prominent AWS Lambda–supported languages from the perspective of cold start performance, warm performance, cost, and ecosystemrecognize the types of Cloud Functions provided by GCP to implement serverless applications along with the language runtimes supported by GCP to write Cloud Functionsdescribe the features of Azure Functions and outline how to select the right programming language to implement Azure Functions Runtime
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set up a local development environment to build serverless applications using AWS and prominent open source toolsset up a local development environment for Google Cloud Functions to manage Cloud Functions deployment and use for local testing and debuggingset up a local development environment to create, test, and debug Azure Functions app projectscreate and deploy serverless Azure Functions in Python using Visual Studio Codeinstall Serverless Framework Open Source CLI and deploy a sample service in the cloud that reports deployment information and operational metrics to the Serverless Framework dashboardsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 1sUP NEXT
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2.Major Serverless Providers and Frameworks10m 40s
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3.Languages for Serverless Apps7m 16s
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4.Languages for AWS Lambda8m 12s
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5.Languages for Google Cloud Functions5m 33s
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6.Languages for Azure Functions4m 22s
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7.Setting up Local Development Env for AWS Serverless9m 17s
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8.Setting up Local Development Env for Cloud Functions13m 57s
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9.Setting up Local Development Env for Azure Functions6m 41s
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10.Deploying Serverless Functions7m 24s
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11.Working with Open Source Serverless Framework9m 2s
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12.Course Summary1m 43s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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