KubeMQ use really small sources of CPU and Memory to collect big data of message comes example from ad internet. If somebody working with big traffic and don't want use really big resource of CPU or Memory something like 8 CPU and 64 GB RAM should change the message broker on Native KubeMQ

Due to its flexibility, computational cost and documentation, it is simple and practical. And the coolest is done in Go

KubeMQ is a fantastic replacement of services like AWS SQS, SNS, Lambda, API Gateway when you are looking to have portability between cloud environments/on-premise deployments. It provides an excellent, rich feature set that provides K8s native applications with a wide range of event-driven options available to within the cluster. Ease-of-use in deployment - they make it really quite simple to get up and running for a variety of use-cases. With new tools like Bridges and Targets, they are even extending far more advanced multi-cloud/multi-deployment options that allow developers/engineers a wide range of possibilities for event-driven systems. Their support - I've hopped on a Slack thread with them - and within a few minutes we have resolved an issue. They are very wiling to add support for different Cloud environments and help overcome setup/maintenance issues with you in real-time. This is absolutely key and they are doing a fantastic job thus far.