System Design — Message Queues (2024)

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1. Concepts
2. UI when MQ is used
3. Role of MQ in microservices
4. RabbitMQ
5. Kafka

• Message queuing makes it possible for applications to communicate asynchronously, by sending messages to each other via a queue. A message queue provides temporary storage between the sender and the receiver so that the sender can keep operating without interruption when the destination program is busy or not connected. Asynchronous processing allows a task to call a service, and move on to the next task while the service processes the request at its own pace.
• A queue is a line of things waiting to be handled — in sequential order starting at the beginning of the line. A message queue is a queue of messages sent between applications. It includes a sequence of work objects that are waiting to be processed.
• A message is the data transported between the sender and the receiver application; it’s essentially a byte array with some headers on top. An example of a message could be an event. One application tells another application to start processing a specific task via the queue.
• The basic architecture of a message queue is simple: there are client applications called producers that create messages and deliver them to the message queue. Another application, called a consumer, connects to the queue and gets the messages to be processed. Messages placed onto the queue are stored until the consumer retrieves them.
• The queue can provide protection from service outages and failures.
• Examples of queues: Kafka, Heron, real-time streaming, Amazon SQS, and RabbitMQ.

Dividing work between off-line work handled by a consumer and in-line work done by the web application depends entirely on the interface you are exposing to your users. Generally, you’ll either:

1. perform almost no work in the consumer (merely scheduling a task) and inform your user that the task will occur offline, usually with a polling mechanism to update the interface once the task is complete (for example, provisioning a new VM on Slicehost follows this pattern), or
2. perform enough work in-line to make it appear to the user that the task has completed, and tie up hanging ends afterward (posting a message on Twitter or Facebook likely follow this pattern by updating the tweet/message in your timeline but updating your followers’ timelines out of the band; it’s simple isn’t feasible to update all the followers for a Scobleizer in real-time).

• In a microservice architecture, there are different functionalities divided across different services, that offer various functionalities. These services are coupled together to form a complete software application.
• Typically, in a microservice architecture, there are cross-dependencies, which entail that no single service can perform its functionalities without getting help from other services. This is where it’s crucial for your system to have a mechanism in place which allows services to keep in touch with each other without getting blocked by responses.
• Message queuing fulfills this purpose by providing a means for services to push messages to a queue asynchronously and ensure that they get delivered to the correct destination. To implement a message queue between services, you need a message broker, think of it as a mailman, who takes mail from a sender and delivers it to the correct destination.

• RabbitMQ is one of the most widely used message brokers, it acts as the message broker, “the mailman”, a microservice architecture needs.
• RabbitMQ consists of:
  1. producer — the client that creates a message
  2. consumer — receives a message
  3. queue — stores messages
  3. exchange — enables to route messages and send them to queues
• The system functions in the following way:
  1. producer creates a message and sends it to an exchange
  2. exchange receives a message and routes it to queues subscribed to it
  3. consumer receives messages from those queues he/she is subscribed to
  One should note that messages are filtered and routed depending on the type of exchange.
• Use RabbitMQ via CloudAMQP

• When to use rabbitqm or apache kafka

• A dummy’s guide to distributed queues
• Introduction to message queuing and rabbitmq
• https://lethain.com/introduction-to-architecting-systems-for-scale/

• System Design — Load Balancing
• System Design — Caching
• System Design — Sharding / Data Partitioning
• System Design — Indexes
• System Design — Proxies
• System Design — Message Queues
• System Design — Redundancy and Replication
• System Design — SQL vs. NoSQL
• System Design — CAP Problem
• System Design — Consistent Hashing
• System Design — Client-Server Communication
• System Design — Storage
• System Design — Other Topics
• Object-Oriented Programming — Basic Design Patterns in C++

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