Speaker

Vy Hong profile photo

Vy Hong

Senior Software Development Engineer @ Amazon MQ (AWS)

Vy Hong is a Senior Software Development Engineer at Amazon Web Services (AWS), where he has been leading the development and launch of key features in Amazon MQ, including the introduction of quorum queues. With a passion for distributed systems and a track record of delivering high-impact projects, Vy is poised to make significant contribution in the field.

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RabbitMQ Summit 2024
15/10/2024
12:00 am

Managing Quorum Queues at Scale

Vy Hong profile photo
15 October
Time:  12:00 am - 12:00 am
Location: 
Speaker:  Vy Hong

In recent years, RabbitMQ has introduced several enhancements to simplify the management of Quorum Queues. This talk explores how to leverage these improvements, such as automatic membership reconciliation and member's voter status, to enable safe and automatic node replacement with Quorum Queues.

We will dive into real-world scenarios and best practices for managing Quorum Queues at scale, drawing from my experience operating Quorum Queues in production at Amazon MQ (AWS). Attendees will gain insights into:
1. Configuring Quorum Queues for optimal performance and reliability
2. Monitoring and troubleshooting Quorum Queues in production environments
3. Performing rolling upgrades and maintenance tasks without downtime

By the end of this talk, attendees will have a solid understanding of how to effectively manage Quorum Queues at scale, ensuring high availability and data consistency in their RabbitMQ deployments.

OBJECTIVES:
In this talk, the audience will:
1. Understand the latest improvements in RabbitMQ that support better management of Quorum Queues, such as automatic membership reconciliation and member's voter status.
2. Learn how to apply these enhancements to enable safe and automatic node replacement within Quorum Queues.
3. Gain insights into real-world best practices and strategies for managing Quorum Queues at scale, based on the speaker's experience operating Quorum Queues in production at Amazon MQ (AWS).

AUDIENCE:
RabbitMQ users and administrators who are currently using or planning to use Quorum Queues in their systems.

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