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Can I read Mastering AWS Lambda : Build Cost-effective and Highly Scalable Serverless Applications Using AWS Lambda. on EtoBox?
Mastering AWS Lambda : Build Cost-effective and Highly Scalable Serverless Applications Using AWS Lambda. by Yohan Wadia, Udita Gupta is a nonfiction available to read on EtoBox.
What is Mastering AWS Lambda : Build Cost-effective and Highly Scalable Serverless Applications Using AWS Lambda. about?
Build cost-effective and highly scalable Serverless applications using AWS Lambda.About This BookLeverage AWS Lambda to significantly lower your infrastructure costs and deploy out massively scalable, event-driven systems and applicationsLearn how to design and build Lambda functions using real-world examples and implementation scenariosExplore the Serverless ecosystem with a variety of toolsets and AWS services including DynamoDB, API Gateway, and much more!Who This Book Is ForIf you are a Cloud administrator and/or developer who wishes to explore, learn, and leverage AWS Lambda to design, build, and deploy Serverless applications in the cloud, then this is the book for you! The book assumes you have some prior knowledge and hands-on experience with AWS core services such as EC2, IAM, S3, along with the knowledge to work with any popular programming language such as Node.Js, Java, C#, and so on.What You Will LearnUnderstand the hype, significance, and business benefits of Serverless computing and applicationsPlunge into the Serverless world of AWS Lambda and master its core components and how it worksFind out how to effectively and efficiently design, develop, and test Lambda func
Who reads Mastering AWS Lambda : Build Cost-effective and Highly Scalable Serverless Applications Using AWS Lambda.?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Yohan Wadia, Udita Gupta
- Publisher
- Packt Publishing, Limited
- Published
- 2017
- Language
- EN
- ISBN
- 9781786466839
- Category
- nonfiction
- Subjects
- Computer Science, Business, Technology
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