Easy and scalable solution for managing and executing background tasks and microservices seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.
Designed to support distributed systems, enabling you to scale your background processes and microservices across multiple servers. With advanced features like performance monitoring, exception logging, and integration with various storage types, providing complete control and visibility over your workflow.
Provides a user-friendly web dashboard that allows you to monitor and manage your jobs and microservices from a centralized location. You can easily check the status of your tasks, troubleshoot issues, and optimize performance.
EnqueueIt is available for both .NET and Go.
The .NET packages support all EnqueueIt functionality, including the web dashboard and background jobs, which are exclusively available in the .NET package. The Go package was created as a lightweight alternative for running the EnqueueIt server, enabling the execution of microservices and seamless data synchronization between Redis and SQL databases. Additionally, the Go package supports the enqueueing and scheduling of microservices from Go, as well as the feature of reading microservice arguments.
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Enqueue It's answer:
dotnet and golang software engineers
Enqueue It's answer:
Enqueue It's answer:
It is completely opensource and free. the performance is unbeatable. it has no servers or apps limit when it come to be used in distribution systems.
Enqueue It's answer:
dotnet golang redis postgresql mysql sqlserver oracle
Based on our record, Apache Camel seems to be more popular. It has been mentiond 12 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.
"correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas: - https://camel.apache.org/ - https://www.windmill.dev/ Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO. - Source: Hacker News / 8 months ago
This reminds me more of Apache Camel[0] than other things it's being compared to. > The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue This is almost exactly the definition of message routing (ie: Camel). I'm a bit doubtful... - Source: Hacker News / about 1 year ago
Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code. Source: over 1 year ago
For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture. Source: over 1 year ago
🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago
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