RabbitMQ is recommended for businesses and developers who need a reliable message broker for microservices architecture, asynchronous processing, or distributed systems. It is well-suited for both small-scale projects that need easy setup and enterprise-level applications that demand high throughput and low latency.
Based on our record, Stackify should be more popular than RabbitMQ. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / over 1 year ago
FYI - https://stackify.com offers some good code/application monitoring tools to track bugs on your server. Source: over 2 years ago
Stackify.com already exists thats why I added .so. Source: over 3 years ago
IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.