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

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

Many difficult problems in modern enterprise workloads can be solved with event-driven architectures. It can also be challenging to work with large amounts of data in different data stores and locations. Teams building microservices architectures often find that integration with other applications and external services can make their workloads more monolithic and tightly coupled. In this session, learn how to use event-based architecture to decouple and decentralize application components. You can use AWS messaging services to connect microservices and coordinate data flow, using minimal custom code.

Enterprise Integration Patterns

Gregor Hohpe and Bobby Woolf

Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise.

View

Designing Data-Intensive Applications

Martin Kleppmann

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

View

AWS Lambda Powertools for Python

Idempotency

The idempotency utility provides a simple solution to convert your Lambda functions into idempotent operations which are safe to retry.

Read

Making retries safe with idempotent APIs

By Malcom Featonby

At Amazon, we often see patterns in our services in which a complex operation is decomposed into a controlling process making calls to a number of smaller services, each responsible for one part of the overall workflow. For example, consider the launch of an Amazon Elastic Compute Cloud (EC2) instance. “Under the hood” this involves calls to services responsible for making placement decisions, creating Amazon Elastic Block Store (EBS) volumes, creating elastic network Interfaces, and provisioning a virtual machine (VM). On occasion, one or more of these service calls might fail. To deliver a good customer experience we want to drive this workflow to success. To achieve this, we look to the controlling process to shepherd all decomposed services into a known good state.

Read

AWS Lambda Powertools for Java

Idempotency

The idempotency utility provides a simple solution to convert your Lambda functions into idempotent operations which are safe to retry.

Read

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.

Follow on LinkedIn