Sometimes it makes sense to organize code into a separate package, sometimes it makes sense to create a completely separate service. A subsystem could be a separate class, a package, a library, a project, a microservice, or a number of other things. There are also many ways to define a “subsystem”. Not every system has a database or a user interface. Some are huge and consist of hundreds of subsystems that in turn have their own subsubsystems. Some are small and don't need any subsystems. Over-utilisation/Underutilisation of resources: There is underutilisation/over-utilisation of resources unless the channels/topics are very efficiently designed.There cannot be a general guideline for this.Similarly, the message for a transaction might expire before it’s subscribed, and the user might not be charged for the transaction. For example, If a payment service reads two messages for the same payment then the user ends up getting charged twice for the same transaction. No Idempotency: We need to configure extra logic in our applications to handle idempotency.Lack of Message ordering: The order in which consumer instances receive messages isn’t guaranteed, and doesn’t necessarily reflect the order in which the messages were created.We do not send an acknowledgement/reply back to the publisher once the messages are subscribed. uni-directional communication: The channels in a publish-subscribe system are treated as unidirectional.However, decoupling of components and async transfer of messages also leads to some downsides. It facilitates asynchronous workflows across an enterprise.Subscribers can wait to pick up messages until off-peak hours, or messages can be routed or processed according to a specific schedule. It allows for deferred or scheduled processing.The messaging infrastructure is responsible for ensuring messages are delivered to interested subscribers. The sender can quickly send a single message to the input channel, then return to its core processing responsibilities. It increases scalability and improves responsiveness of the sender.This helps applications continue to run smoothly under increased loads and handle intermittent failures more effectively. Subsystems can be managed independently, and messages can be properly managed even if one or more receivers are offline. It decouples subsystems that still need to communicate.Pub/sub messaging has the following benefits: The notification service then provides a notification to the end user that the upload is successful. The formatter service then formats the video using the filters, music etc. The uploader service then triggers a compressor service that’s responsible for compressing the raw video. The user uploads a video which is handled by the uploader service. You have an upload service, a compressor service, formatter service and notification service, all of which make network calls using Request-Response architecture. This increases the latency and wait time, and failure in one component leads to a failure in all systems.įor example, let’s say we have a video uploader service for Instagram reels. Introduction of multiple services creates a chain of strongly connected components. The problem arises as the distributed architecture gets complex. The client makes a Request which is serviced by the server to provide a Response. ReST is one of the most common form of messaging system used in distributed systems. Request-Response architecture is the most popular and common messaging system employed when making network calls. Problems with Request-Response Architecture
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