Category: Messaging

IAM authentication with OAuth 2.0 lets clients connect to Amazon MQ for RabbitMQ using their existing IAM identity instead of static broker-local credentials. This post covers the key rabbitmq.conf configuration for using AWS IAM as an OAuth 2.0 provider and shows a multi-tenant example with vhost isolation enforced by IAM roles and broker scope aliases.

Amazon MQ for RabbitMQ supports OAuth 2.0, LDAP, and HTTP-based authentication backends so you can connect your broker to the identity infrastructure you already use. This post explains how each approach works and helps you decide which one fits your use case.

Learn how to add certificate-based identity verification to Amazon MQ for RabbitMQ. This post explains SSL certificate authentication for passwordless login through the EXTERNAL SASL mechanism and mutual TLS (mTLS) for two-way certificate verification, highlights the key rabbitmq.conf settings, and helps you decide which approach fits your compliance requirements.

Amazon MQ for RabbitMQ supports multiple authentication and authorization methods, so you can connect your broker to the identity infrastructure you already use. This post introduces the available options and helps you choose the right one for your use case.

In this post, we demonstrate an automated test suite that validates your Amazon Redshift cluster automatically after any patch, reboot, or modification. It uses standard drivers against real workload patterns to provide a verified gate between a patch landing and that patch reaching production.

In this post, we explain how Private Networking for Amazon MQ for RabbitMQ works and walk through the setup process. Whether you’re securing a private identity provider, federating messages between brokers, or connecting to self-hosted RabbitMQ, your broker can now reach private destinations without exposing them publicly.

This post shows you how to migrate your JMS applications and walks through a complete setup, from creating the broker to sending and receiving messages. You will also see a real-world scenario: migrating an existing Apache ActiveMQ workload to an Amazon MQ broker running RabbitMQ. The post covers configuration changes, monitoring with Amazon CloudWatch, and validation steps to make sure that your migration succeeds.

In this post, we show you a reference architecture that automates sensitive data discovery across legal document repositories on Amazon Web Services (AWS), demonstrate how to capture structured findings as a compliance dataset, and guide you through building a governed analytics workspace that maintains your security boundaries. You walk away with a practical model for building security and analytics into the same lifecycle, without moving documents outside their system of record.

In this post, we take you through customization options for managing the schedule of your Amazon Redshift maintenance events, along with Amazon Redshift maintenance tracks for optimizing cluster performance. We also walk you through how to set up Amazon Redshift event notifications using Amazon SNS.

Amazon MQ is a fully managed service for open-source message brokers such as RabbitMQ and Apache ActiveMQ. Today, we are announcing the availability of AWS Graviton3-based Rabbit MQ brokers on Amazon MQ, which runs on Amazon EC2 M7g instances. AWS Graviton processors are custom designed server processors developed by AWS to provide the best price performance for cloud workloads running on Amazon EC2.