Mastering Serverless Computing with AWS Lambda - Unlock Scalability Optimize Costs and Drive Innovation with AWS Lambda Serverless Solutions for Modern Cloud Transformation

Eidivandi Omid

Beschreibung

Design and Build Scalable Solutions on the AWS Serverless Ecosystem.
Book Description
AWS Lambda, a key component of AWS Serverless Computing, has transformed application development by allowing developers to focus on code rather than infrastructure. [Mastering Serverless Computing with AWS Lambda] is a must-have guide for leveraging AWS Lambda to build efficient, cost-effective serverless cloud solutions. This book guides readers from serverless basics to advanced deployment, offering practical approaches to building resilient, scalable applications.
Beginning with an introduction to serverless computing, the book explores AWS Lambda fundamentals, covering invocation models, service integrations, and event-driven design. Practical insights into hyper-scaling, instrumentation, and designing for failure empower readers to create robust, production-ready solutions.
This guide covers core concepts of serverless computing, including optimizations, automation, and strategies to navigate potential pitfalls. It emphasizes AWS Lambda’s resiliency, scalability, and disaster recovery, using real-world examples to showcase best practices.
Each chapter offers in-depth examples, edge computing scenarios, and proven patterns to help readers develop optimized serverless architectures. By the end, readers will gain a comprehensive understanding of AWS Lambda, equipping them to design sophisticated systems that meet modern cloud demands and drive innovation within their organizations.
Table of Contents
1. Introduction to Serverless Computing
2. AWS Lambda Basics
3. Invocation Models and Service Integrations
4. Event-Driven Design with Lambda
5. Hyper-Scaling with Lambda
6. Instrumenting Lambda
7. Resiliency and Design for Failure
8. Lambda-Less Design
9. Edge Computing
10. Patterns and Practices

Index

Verfügbar seit: 14.11.2024.

Wissenschaft & Technologie

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