![]() The need for low latency in a messaging queue might be obvious, but the amount of acceptable latency can vary by use case. Latency is therefore synonymous with speed, one major factor in deciding which messaging queue is right for a business or organization. A circuit is like a round trip to and from the data's initiation point. In more formal networking terms, latency is the total time it takes for a piece of data to complete a circuit. Latency is the amount of delay in the time it takes for data to move from one place to another. A message queue is just that: a lineup of messages, which are pieces of data with a specific purpose. The message queue ensures that the system can continue to take on new inputs at an almost unlimited rate, even if the rest of the chain isn't ready to process those inputs just yet. The message broker ensures that the system can take in each new message and store it if it's not yet at a stage where it can be processed. Some superior solutions, like Iron.io, have redundant/failover capabilities that prevent the loss of messages, even in the event of a failure in one part of the network. Timing is important there may be events scheduled for a later time, or just too many events for the destination component to handle. Typically, a message is just data with a header, followed by specific information or instructions. The message may be to start a workflow, end a process, or any number of an almost infinite series of events. The overall system has components that produce messages and those that consume messages. The message broker allows for the optimization of this communication. There's a risk that a portion of the system might fail and result in the loss of workflows and processes. As the network grows, the pieces may have to speak over a greater area or incorporate more elements. This allows for customization and better scalability than with a traditional monolith.īut it also means that all of those microservices have to speak to one another. One of the fundamental characteristics of a system built on microservices is the capacity to develop each component individually.
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