An American financial services organisation serving Fintech faced challenges including cluster slowness caused by overloaded applications, memory management issues that risked potential outages, and the need for optimised Quorum Queue management to ensure data consistency across their infrastructure.

A leading mortgage finance company based in Canada needed specialised support to ensure their RabbitMQ messaging system could reliably manage critical operations, including loan processing, customer communications, and transaction workflows.

An ecommerce store faced critical challenges, including shovel failures after a RabbitMQ upgrade, frequent network partition events during infrastructure maintenance, and logging issues that created excessive noise in system logs.

An online gaming platform faced significant challenges, including maintaining high availability in clustered environments, optimising queue mirroring for better performance, and resolving frequent disk and memory alarms that threatened service continuity.

A global leader in industrial automation needed to ensure the scalability and reliability of its RabbitMQ messaging system, which is essential for real-time data processing and command execution across hundreds of clusters.

A leading insurance provider faced challenges such as recurring memory usage spikes on specific nodes, unsynchronised mirrors in HA queues, and difficulties in managing network partitions that led to cluster instability.

Due to an unprecedented surge in users during the 2020 lockdowns, Adidas Runtastic experienced latency issues and delays, pointing to RabbitMQ…