AWS Compute Blog
Category: Amazon MQ
Measuring Amazon MQ throughput using Maven 2 benchmark and AWS CDK
This post is written by Olajide Enigbokan, Senior Solutions Architect and Mohammed Atiq, Solutions Architect In this post you will learn how to evaluate the throughput for Amazon MQ, a managed message broker service for ActiveMQ, by using the ActiveMQ Classic Maven Performance test plugin. This post will provide recommendations for configuring Amazon MQ to […]
Introducing quorum queues on Amazon MQ for RabbitMQ
This post is written by Vignesh Selvam (Senior Product Manager – Amazon MQ), Simon Unge (Senior software development engineer – Amazon MQ). Amazon MQ for RabbitMQ announced support for quorum queues, a type of replicated queue designed for higher availability and data safety. This post presents an overview of this queue type, describes when you […]
Introducing Amazon MQ cross-Region data replication for ActiveMQ brokers
This post is written by Dominic Gagné, Senior Software Development Engineer, and Vinodh Kannan Sadayamuthu, Senior Solutions Architect Amazon MQ now supports cross-Region data replication for ActiveMQ brokers. This feature enables you to build regionally resilient messaging applications and makes it easier to set up cross-Region message replication between ActiveMQ brokers in Amazon MQ. This […]
Integrating IBM MQ with Amazon SQS and Amazon SNS using Apache Camel
This post is written by Joaquin Rinaudo, Principal Security Consultant and Gezim Musliaj, DevOps Consultant. IBM MQ is a message-oriented middleware (MOM) product used by many enterprise organizations, including global banks, airlines, and healthcare and insurance companies. Customers often ask us for guidance on how they can integrate their existing on-premises MOM systems with new […]
Introducing AWS Lambda batching controls for message broker services
This post is written by Mithun Mallick, Senior Specialist Solutions Architect. AWS Lambda now supports configuring a maximum batch window for instance-based message broker services to fine tune when Lambda invocations occur. This feature gives you an additional control on batching behavior when processing data. It applies to Amazon Managed Streaming for Apache Kafka (Amazon […]
Using an Amazon MQ network of broker topologies for distributed microservices
This blog explains the choices when designing a cross-Region or a hybrid network of brokers architecture that spans AWS and your data centers. The example starts with a concentrator topology and enhances that with a cross-Region design to help address network routing and network security requirements.
Creating static custom domain endpoints with Amazon MQ for RabbitMQ
In this post, you build a highly available Amazon MQ broker in a private subnet. You layer security by placing the brokers behind a highly scalable Network Load Balancer. You configure routing from a single custom subdomain URL to multiple brokers with a built-in health check.
Authenticating and authorizing Amazon MQ users with Lightweight Directory Access Protocol
This post is written by Dominic Gagné and Mithun Mallick. Amazon MQ is a managed message broker service for Apache ActiveMQ and RabbitMQ that simplifies setting up and operating message brokers in the AWS Cloud. Integrating an Amazon MQ broker with a Lightweight Directory Access Protocol (LDAP) server allows you to manage credentials and permissions for […]
Using Amazon MQ for RabbitMQ as an event source for Lambda
Amazon MQ for RabbitMQ is an AWS managed version of RabbitMQ. The service manages the provisioning, setup, and maintenance of RabbitMQ, reducing operational overhead for companies. Now, with Amazon MQ for RabbitMQ as an event source for AWS Lambda, you can process messages from the service. This allows you to integrate Amazon MQ for RabbitMQ […]
Using Amazon MQ as an event source for AWS Lambda
Amazon MQ provide a fully managed, highly available message broker service for Apache ActiveMQ. Now Lambda supports Amazon MQ as an event source, you can invoke Lambda functions from messages in Amazon MQ queues to integrate into your downstream serverless workflows.