![]() Here is an example of the simple case: a view that shows the queue depth, last received stale message, You can perform arbitrary queries and views over the data in the queue. #Dead letter queue full#The AMPS dead letter queue is a full fledged queue, with complete access to its data. The innovative differentiator of our queue is that it can show more than just queue depth. Other platforms offer dead letter queues. AMPS Views: the secret to unlocking the treasures of the Dead Letter Queue See the AMPS User Guide chapter on Actions for all the gory details. You could trigger a log rotation, a SOW compaction, write to a log, turn on your smart toaster, etc… You even have full access to the message data through amps-action-do-extract-values. The full functionality of AMPS actions is available for you to use with the expired messages. This dead letter queue is just one particular (rather simple) example of an AMPS action design pattern. The AMPS actions platform is extremely flexible and modular. It requires no extra effort on your part to get this functionality. Queues are implemented as a view over an underlying topic or set of topics thatĪmong other things, this allows AMPS actions to receive events from Queues just Yes! But this is part of the power of the AMPS platform. You might be saying to yourself, “ on-sow-expire-message? But I thought we were talking about queues not sows?” This powerful actionĪcts like a life boat for those stale messages walking the plank. This whole system hinges on the on-sow-expire-message action. You can use this queue and view setup to gain unpreceded insight into your AMPS queue performance! The powerful automated actions platform of AMPS allows you to not only build a dead letter queue,īut using AMPS views, you can create conflated statistics of your dead letter queue. If only there was a way to save those expired messages… The Dead Letter QueueĪ secondary queue that tracks expired messages from one or more primary work queues These statistics are a map to hidden treasure for your business. In use cases where consumer speed is of the upmost importance, Statistics on those stale messages can contain important clues about possible problems and improvements to consumer clients. Those stale messages can still be useful! ![]() While keeping only the latest messages in the queue is important for time sensitive applications, ![]() This is great! It assures that consumers only have the latest messages, and everything is smooth sailing on the AMPS seas. If a message outlives its expiration it is forced to walk the plank and is removed before another client can receive it. AMPS solves this problem by allowing an expiration to be set on queue messages. ![]() I will talk about what I mean by poisoned data later, but lets take the basic case Poisoned data that can cause the system to get stuck. It is extremely important that consumers of these time sensitive queues don’t receive stale data or Performant and are often used in very time sensitive use cases such as the processing of market data. ![]() The real world, unfortunately, has time constraints. Taking work from publishers and feeding them to consumers as fast as This is exact search and can quickly find a specific dead letter message.Queues are the bread and butter of a good messaging system.ĪMPS provides a powerful queue system that
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