What are the cons of queuing
In modern cloud architecture, applications are broken down into smaller, independent building blocks that are easier to develop, deploy and maintain. Message queues are used for communication and coordination for these distributed applications.
Message queues can greatly simplify the coding of the decomposed applications while improving performance, reliability, and scalability. You can also combine message queues with pub / sub messaging in a fan-out design.
Message queues enable asynchronous communication, which means that the endpoints that generate and consume messages interact with the queue, not with each other. Producers can add requests to the queue without waiting for them to be processed. Consumers only process messages when they are available. No component in the system ever has to wait for another, which optimizes the flow of data.
Queues make your data persistent and reduce the errors that occur when different parts of your system go offline. By delimiting multiple components with message queues, you ensure greater fault tolerance. If one part of the system is once inaccessible, the other can still interact with the queue. The queue itself can also be mirrored to further increase availability.
Message queues allow you to scale exactly where you need to. When peak workloads occur, multiple instances of your application can add requests to the queue without the risk of collision. As your queues grow longer with these incoming requests, you can spread the workload across many consumers. Producers, consumers and the queue itself can grow and shrink as needed.
Message queues remove dependencies between components and make coding of broken down applications much easier. Software components are not encumbered with communication code and can instead be designed to carry out a specific business function.
Message queues are an elegant, simple way to break down distributed systems - regardless of whether you are using monolithic applications, microservices or serverless architectures.
Use message queues to break down your monolithic applications. Rather than performing multiple functions with a single executable file, multiple programs can send messages between processes to exchange information and are easier to test, debug, develop, and scale.
Microservices integration patterns based on events and asynchronous messaging optimize scalability and resilience. Use message queuing services to coordinate multiple microservices, notify microservices of data changes, or as an event firehose to process IoT, social, and real-time data.
After you've created serverless microservices, serverless deployments, or any installed software, message queues can be used to provide reliable, scalable serverless notifications, inter-process communication, and serverless visibility, and PaaS.
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