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Hands-On Serverless Computing. Build, run and orchestrate serverless applications using AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions

Język publikacji: angielskim
Hands-On Serverless Computing. Build, run and orchestrate serverless applications using AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions Kuldeep Chowhan - okladka książki

Hands-On Serverless Computing. Build, run and orchestrate serverless applications using AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions Kuldeep Chowhan - okladka książki

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350
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Serverless applications and architectures are gaining momentum and are increasingly being used by companies of all sizes. Serverless software takes care of many problems that developers face when running systems and servers, such as fault tolerance, centralized logging, horizontal scalability, and deployments.

You will learn how to harness serverless technology to rapidly reduce production time and minimize your costs, while still having the freedom to customize your code, without hindering functionality. Upon finishing the book, you will have the knowledge and resources to build your own serverless application hosted in AWS, Microsoft Azure, or Google Cloud Platform, and will have experienced the benefits of event-driven technology for yourself.

This hands-on guide dives into the basis of serverless architectures and how to build them using Node.js as a programming language, Visual Studio Code for code editing, and Postman for quickly and securely developing applications without the hassle of configuring and maintaining infrastructure on three public cloud platforms.

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O autorze książki

Kuldeep Chowhan is a Principal Software Developer at Expedia Group. He has been involved in building tools and platforms for the last 5+ years at Expedia. He has extensive experience on using serverless technologies on AWS (such as AWS Lambda, API Gateway, and DynamoDB) through Node.js. He has built a Platform as a Service (PaaS) tool for the automated creation of source code, a CI/CD pipeline, and a fully automated pipeline for deploying Docker containers/AWS Lambda. He is also passionate about CI/CD and DevOps.

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