Project Name

How Ksolves Upgraded a RabbitMQ Cluster Smoothly for the Financial Industry?

How Ksolves Upgraded a RabbitMQ Cluster Smoothly for the Financial Industry?
Industry
Finance
Technology
RabbitMQ, Angular, NodeJs

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How Ksolves Upgraded a RabbitMQ Cluster Smoothly for the Financial Industry?
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.

Key Challenges

Upgrading a RabbitMQ cluster in a financial environment comes with several complexities that must be carefully managed to ensure data integrity, system stability, and minimal downtime. 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

To overcome these challenges, our team implemented a structured and strategic approach, ensuring a smooth and secure upgrade of the RabbitMQ cluster. 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 perform 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 of ensuring all nodes are at the precursor version, our experts 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
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Conclusion

We successfully migrated the clientโ€™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.

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