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Building a Scalable Serverless Microservice REST Data API

Create a secure, cost-effective, and scalable Serverless data API

RF

Created by Richard Takashi Freeman

Discover how to build a secure, scalable, and cost-effective serverless data API using AWS tools and Python. Learn to set up and configure a production-ready microservice architecture that adapts to your organization's needs. Gain practical skills for deploying, testing, and managing serverless applications at scale.

Packt | Feb 2018 | 166 min

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LevelIntermediate
CategoriesSoftware Engineering and Architecture, Serverless Computing and Function as a Service (FaaS) Integration and Development, Kubernetes

What You Will Learn

You will follow a hands-on, step-by-step process to design and deploy a serverless REST data API. By working through a real-world use case, you'll configure AWS services, write and test Python code, and apply best practices for security and scalability. Each step builds your confidence and ability to manage serverless microservices in production.

Key Features

  • Set up and deploy a serverless microservice data API with AWS and Python
  • Secure your API and manage access to data and resources effectively
  • Optimize development speed and reduce operational costs with serverless tools

Target Audience

Ideal for developers and DevOps professionals with some programming experience who want to modernize their backend skills. If you're looking to move beyond traditional architectures and are ready to build scalable, low-maintenance APIs using serverless technologies, you'll find practical solutions and clear guidance here.

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