AWS Compute Blog

Category: Messaging

Amazon MQ

Measuring the throughput for Amazon MQ using the JMS Benchmark

NOTE: September 4, 2024 – This post is now considered deprecated and replaced by this newer post “Measuring Amazon MQ throughput using Maven 2 benchmark and AWS CDK“ 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 […]

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 […]

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 […]

Using AWS Lambda and Amazon Comprehend for sentiment analysis

This post courtesy of Giedrius Praspaliauskas, AWS Solutions Architect Even with best IVR systems, customers get frustrated. What if you knew that 10 callers in your Amazon Connect contact flow were likely to say “Agent!” in frustration in the next 30 seconds? Would you like to get to them before that happens? What if your […]

Sample microservices application

Managing Cross-Account Serverless Microservices

This post courtesy of Michael Edge, Sr. Cloud Architect – AWS Professional Services Applications built using a microservices architecture typically result in a number of independent, loosely coupled microservices communicating with each other, synchronously via their APIs and asynchronously via events. These microservices are often owned by different product teams, and these teams may segregate their […]

Message Filtering Operators for Numeric Matching, Prefix Matching, and Anything-But Matching in Amazon SNS

This blog was contributed by Otavio Ferreira, Software Development Manager for Amazon SNS Message filtering simplifies the overall pub/sub messaging architecture by offloading message filtering logic from subscribers, as well as message routing logic from publishers. The initial launch of message filtering provided a basic operator that was based on exact string comparison. For 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 […]

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 […]

Simplify Your Pub/Sub Messaging with Amazon SNS Message Filtering

Contributed by: Stephen Liedig, Senior Solutions Architect, ANZ Public Sector, and Otavio Ferreira, Manager, Amazon Simple Notification Service Want to make your cloud-native applications scalable, fault-tolerant, and highly available? Recently, we wrote a couple of posts about using AWS messaging services Amazon SQS and Amazon SNS to address messaging patterns for loosely coupled communication between highly cohesive components. For […]

Serverless Automated Cost Controls, Part1

This post courtesy of Shankar Ramachandran, Pubali Sen, and George Mao In line with AWS’s continual efforts to reduce costs for customers, this series focuses on how customers can build serverless automated cost controls. This post provides an architecture blueprint and a sample implementation to prevent budget overruns. This solution uses the following AWS products: […]