API311: Building Next-Gen Applications With Event-Driven Architectures

Resources for API311: Building next-gen applications with event-driven architectures

Event-driven architectures can solve many difficult problems in modern enterprise workloads. For example, it can be challenging to work with large amounts of data in different data stores and locations. Teams building microservices architecture often find that integration with other applications and external services can make their workloads more monolithic and tightly coupled. In this chalk talk, learn how to use event-based architecture to decouple and decentralize application components. Discover how you can use AWS messaging services to connect microservices and coordinate data flow using minimal custom code.

Distributed Systems Engineering: Idempotency

YouTube video

AWS VP/Distinguished Engineer, Colm MacCárthaigh talks about idempotency in a distributed environments.

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Powertool - Python

Application

A suite of utilities for AWS Lambda functions to ease adopting best practices such as tracing, structured logging, custom metrics, idempotency, batching, and more.

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Enterprise Integration Patterns

Book

Gregor Hohpe and Bobby Woolf: This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book.

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Making retries safe with idempotent APIs

AWS Builder's Library

AWS Principal Software Engineer, Malcolm Featonby talks about making retries safe with idempotent APIs.

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Powertool - Java

Application

A suite of utilities for AWS Lambda functions to ease adopting best practices such as tracing, structured logging, custom metrics, idempotency, batching, and more.

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Book

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

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Presented by:

Eric Johnson

Eric Johnson is a Principal Developer Advocate for Serverless Applications at Amazon Web Services and is based in Northern Colorado. Eric is a fanatic about serverless and enjoys helping developers understand how serverless technologies introduces a major paradigm shift in how they approach building and running applications at massive scale with minimal administration overhead. Prior to this, Eric has worked as a developer, solutions architect and AWS Evangelist for an AWS partner company.

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