Project Name

RabbitMQ Cluster Upgrade for Financial Industry

Industry

Finance

Technology

RabbitMQ, Angular, NodeJs

Overview

The client operates in the financial industry and runs a web-based application. They use RabbitMQ to manage a high volume of transactions efficiently and securely. Upgrading their RabbitMQ cluster to a newer version is crucial for maintaining their competitive edge and handling growing transaction volumes effectively.

Challenges

The client faced several challenges during the upgrade process:

Upgrading the RabbitMQ cluster across all nodes in a multi-step process, moving from version 3.10.8 to 3.11.8 and then to 3.12.3 while ensuring a seamless transition.
Maintaining cluster consistency during the upgrade, especially when nodes temporarily run different versions.
Ensuring the data migration of queues, exchanges, and messages to the new version without data loss or corruption.
Minimizing downtime when upgrading individual cluster nodes through careful planning and coordination.
Ensuring compatibility of third-party plugins with the new RabbitMQ version to avoid post-upgrade issues.
Making any necessary cluster reconfigurations or topology adjustments while avoiding mistakes.
Monitoring and troubleshooting the cluster's health during and after the upgrade.
Dealing with network latency that can impact node synchronization and delay the upgrade completion.
Developing a comprehensive backup and recovery strategy in case the upgrade fails or data loss occurs.

Our Solution

Our developers provided a comprehensive solution to address these challenges:

Our team conducted a step-by-step upgrade of RabbitMQ, moving from version 3.10.8 to 3.11.8 and then to 3.12.3 consistently across all cluster nodes.
We employed a rolling update strategy to ensure seamless updates without downtime, requiring all nodes to run identical versions of RabbitMQ and Erlang.
In fact, we had created a rabbitmq.config file for automatic cluster NodeJS integration and performed data backups to safeguard against rollbacks.
Initiated an intermediate upgrade phase to eliminate operational disruptions, upgrading one node to a higher version. Once validated, extend the upgrade to all nodes.
After the intermediate phase and ensuring all nodes are at the precursor version, proceeded with the final upgrade while conducting rigorous testing to ensure system stability and functionality.
This meticulous approach minimized interruptions and ensured the RabbitMQ cluster's robustness throughout the upgrade process.

Data Flow Diagram

Conclusion

We successfully migrated the client’s RabbitMQ cluster upgrade from version 3.10 to 3.12 in the production environment without affecting their setup. Our solution addressed the challenges faced by the client, providing a seamless upgrade process while maintaining data integrity and system stability.