AWS Compute Blog

Category: Application Integration

Amazon MQ

Measuring the throughput for Amazon MQ using the JMS Benchmark

This post is courtesy of Trevor Dyck, Sr. Product Manager, AWS Messaging, and Alan Protasio, Software Development Engineer, Amazon Web Services Just like compute and storage, messaging is a fundamental building block of enterprise applications. Message brokers (aka “message-oriented middleware”) enable different software systems, often written in different languages, on different platforms, running in different […]

Read More

Solving Complex Ordering Challenges with Amazon SQS FIFO Queues

Contributed by Shea Lutton, AWS Cloud Infrastructure Architect Amazon Simple Queue Service (Amazon SQS) is a fully managed queuing service that helps decouple applications, distributed systems, and microservices to increase fault tolerance. SQS queues come in two distinct types: Standard SQS queues are able to scale to enormous throughput with at-least-once delivery. FIFO queues are […]

Read More

Integrating Amazon MQ with other AWS services via Apache Camel

This post courtesy of Massimiliano Angelino, AWS Solutions Architect Different enterprise systems—ERP, CRM, BI, HR, etc.—need to exchange information but normally cannot do that natively because they are from different vendors. Enterprises have tried multiple ways to integrate heterogeneous systems, generally referred to as enterprise application integration (EAI). Modern EAI systems are based on a […]

Read More

Running ActiveMQ in a Hybrid Cloud Environment with Amazon MQ

This post courtesy of Greg Share, AWS Solutions Architect Many organizations, particularly enterprises, rely on message brokers to connect and coordinate different systems. Message brokers enable distributed applications to communicate with one another, serving as the technological backbone for their IT environment, and ultimately their business services. Applications depend on messaging to work. In many […]

Read More

Invoking AWS Lambda from Amazon MQ

This post courtesy of Josh Kahn, AWS Solutions Architect Message brokers can be used to solve a number of needs in enterprise architectures, including managing workload queues and broadcasting messages to a number of subscribers. Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate […]

Read More

Implementing Dynamic ETL Pipelines Using AWS Step Functions

This post contributed by: Wangechi Dole, AWS Solutions Architect Milan Krasnansky, ING, Digital Solutions Developer, SGK Rian Mookencherry, Director – Product Innovation, SGK Data processing and transformation is a common use case you see in our customer case studies and success stories. Often, customers deal with complex data from a variety of sources that needs […]

Read More