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🚀 RabbitMQ. Message Routing Patterns 🌠 Overview In the RabbitMQ we can specify a few types/patterns of message routing. All their flows are presented in the carousel. So, message routing patterns: 🔸 Direct exchange 🔸Topic Exchange 🔸Fanout Exchange 🔸Headers Exchange 🚀 Direct exchange 🔸Sends messages to queues based on a message routing key. 🔸The routing key is a message attribute added to the message header by the producer. 🔸A message is routed to the queue(s) with the binding key that exactly matches the routing key of the message. 🔸Useful for distinguishing messages published to the same exchange using a simple string identifier. 🚀Topic Exchange 🔸Messages are directed to queues based on wildcard matches between the routing key and the routing pattern. 🔸The routing pattern determines whether a message is routed to one or multiple queues based on a match with the message's routing key. 🔸The routing key must be a list of words, delimited by a period ”.” 🚀Fanout Exchange 🔸Copies and routes a received message to all queues that are bound to it. 🔸The provided keys will be ignored. 🔸This is useful when the same message needs to be sent to one or more queues with consumers who may process the message in different ways. 🚀Headers Exchange 🔸Messages are routed based on arguments containing headers and optional values. 🔸Header exchanges are similar to topic exchanges, but they route messages based on header values instead of routing keys. 🔸A message is considered a match if the value of the header equals the value specified upon binding. #dotnet #rabbitmq #softwaredevelopment

Basics of Messaging ✉ 🚀 #What is RabbitMQ? It's a message broker; it accepts messages and forwards them to different places (any application that seeks them). Think of it like a post office: when you put a post in the post office, you expect it to be delivered somewhere. The postman (carrier) picks your message and delivers it to the recipient. In our analogy, RabbitMQ is both the post office and the letter carrier. Except that it doesn't deal with paper but messages, which are essentially streams of bytes at a fundamental level. ### RabbitMQ and Messaging: 1. Producing is the same as sending. An application that sends a message is known as a producer. 2. Queue: This is where the messages are stored when received from the producer, so they can be later consumed by a consumer (an application in your system seeking the data produced by the producer). It's a message buffer, bound by disk and memory limits.   Many producers can push messages to one queue, and many consumers can consume messages from that single queue.   > A queue is represented by a queue name. 3. Consumer is similar to receiving. A consumer is an application that mostly waits to receive messages from the producer, often picking them from the queue. ### Why are they used? These are used for asynchronous processing in many systems; it helps different parts of the system communicate without the need to wait for an immediate response. As in general, async means non-blocking! So, whenever a response is available, it can be produced by the producer, published to the queue, and a consumer can pick it up from the queue and consume it. ### What next? Try to create a simple project to get a hang of this scenario in real life. Create two projects: - One that sends data to the queue - Another that receives and prints it Run both projects one after the other: first the sender, and then the consumer, to see the desired output. #rabbitmq #messaging #microservices

How Does RabbitMQ Work? 𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤 is a message broker software that acts as an intermediary for various applications to 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 𝘄𝗶𝘁𝗵 𝗲𝗮𝗰𝗵 𝗼𝘁𝗵𝗲𝗿 by sending and receiving messages. Here's a 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝗱 𝗲𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻 of how RabbitMQ works: - 𝗣𝗿𝗼𝗱𝘂𝗰𝗲𝗿𝘀: Producers are applications or systems that generate messages. They send messages to RabbitMQ for further processing or delivery to consumers. Messages can contain any kind of data, such as text, JSON, XML, or binary data. - 𝗘𝘅𝗰𝗵𝗮𝗻𝗴𝗲𝘀: When a producer sends a message, it doesn't send it directly to a queue. Instead, it sends the message to an exchange. An exchange is a 𝗿𝗼𝘂𝘁𝗶𝗻𝗴 𝗺𝗲𝗰𝗵𝗮𝗻𝗶𝘀𝗺 that receives messages from producers and then routes them to one or more queues based on rules called bindings. - 𝗕𝗶𝗻𝗱𝗶𝗻𝗴𝘀: Bindings define the relationship between exchanges and queues. 𝗧𝗵𝗲𝘆 𝘀𝗽𝗲𝗰𝗶𝗳𝘆 𝘄𝗵𝗶𝗰𝗵 𝗾𝘂𝗲𝘂𝗲𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝗿𝗲𝗰𝗲𝗶𝘃𝗲 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 from a particular exchange and how the messages should be routed. Bindings can be configured with routing keys, headers, or other criteria to determine the routing behavior. - 𝗤𝘂𝗲𝘂𝗲𝘀: Queues are 𝗯𝘂𝗳𝗳𝗲𝗿𝘀 that 𝘀𝘁𝗼𝗿𝗲 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 until they are consumed by consumers. 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿𝘀 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 to queues to receive messages. Each queue has a name and may have additional properties such as durability (whether it survives broker restarts), exclusivity (whether it can be accessed by other connections), and auto-delete (whether it is deleted automatically when no longer in use). - 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿𝘀: Consumers are applications or systems that receive messages from RabbitMQ. They 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝘁𝗼 𝗾𝘂𝗲𝘂𝗲𝘀 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀𝘂𝗺𝗲 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 𝗮𝘀 𝘁𝗵𝗲𝘆 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲. Once a message is consumed, it is removed from the queue unless the queue is configured for multiple consumers to receive the same message (e.g., using the "acknowledgment" mechanism). Credits: https://lnkd.in/dfCafQ-2 #rabbitmq #opensource

Whats a message broker ? Why use it ? A message broker is a software component that acts as an intermediary between different applications or systems, allowing them to communicate with each other by exchanging messages. Why use a message broker? - Decouple Systems: Rather than sending messages directly to another application, a sender publishes messages to a message broker without knowing who the receiver is. Similarly, a receiver can subscribe to messages from the broker without knowing the sender. This reduces dependencies between applications and makes it easier to change or scale them independently. - Reliability: A message broker can help ensure reliable message delivery. It can use features such as message persistence, and acknowledgment mechanisms to ensure that messages are delivered and processed in a reliable manner. - Support multiple patterns and protocols out of the box:  A message broker can help convert messages from one protocol or format to another. This can be useful when communicating between applications that use different communication protocols or data formats. --- Example of Message Brokers : RabbitMQ, SQS, Kafka Question : What are other must have features for a message broker ? --- Message Broker vs Message Queue ? A message broker is a broader concept that encompasses the functionality of a message queue but goes beyond it. In addition to providing message queuing, a message broker may offer additional features such as message transformation, protocol translation. --- Detailed Article in comments --- #systemdesign #softwareengineering #backenddevelopment #rabbitmq #designpatterns

In my latest blog, I discuss how to build fault tolerant systems by using distributed message queues with RabbitMQ. I walk through the entire process, from establishing connections to RabbitMQ, setting up dead letter queues for failed messages, and implementing a retry mechanism to ensure that no message is lost. With RabbitMQ, we can offload time-consuming processes and decouple tasks to be handled asynchronously by background workers. Check it out below. https://lnkd.in/eNTx9qZG

Asynchronous communication with a Message Broker! Say goodbye to synchronous delays and use messaging for async communication between services. Check out for a more detailed explanation at https://lnkd.in/g2MaCe4C #messaging #microservice #go #MessageBroker #kafka #rabbitmq

What is RabbitMQ? RabbitMQ is an open-source message broker software that facilitates communication between different parts of a distributed system. It was originally developed in 2007 and has since become widely used in enterprise systems for its reliability and robustness. RabbitMQ implements the Advanced Message Queuing Protocol (AMQP), which allows for message queuing, routing, and delivery. Key Features of RabbitMQ 1. Message Queuing: RabbitMQ allows messages to be stored in a queue until they are processed by the consuming application. This ensures that messages are not lost even if the consumer is temporarily unavailable. 2. Reliability: RabbitMQ offers various reliability features such as message acknowledgment, persistence, and delivery guarantees. This means that messages are safely stored until they are successfully delivered. 3. Flexible Routing: RabbitMQ provides flexible message routing through the use of exchanges. An exchange determines how messages are distributed to queues based on routing rules and bindings. 4. Support for Multiple Protocols: While RabbitMQ is primarily designed to support AMQP, it also supports other messaging protocols such as MQTT, STOMP, and HTTP. 5. High Availability: RabbitMQ supports clustering and federation, allowing for high availability and fault tolerance across multiple servers or data centers. 6. Management Tools: RabbitMQ offers an easy-to-use management interface for monitoring, configuring, and managing your message broker. This includes tools for viewing message rates, managing queues, and diagnosing issues. 7. Extensibility: RabbitMQ is highly extensible with plugins, allowing you to add custom functionality or integrate with other systems as needed. #RabbitMQ #MessageQueue #Microservices #MessagingSystem #OpenSource #BackendDevelopment #SoftwareEngineering

How RabbitMQ handles message expiration (TTL) RabbitMQ uses Time-To-Live (TTL) to automatically remove old messages. Here’s a quick overview for the same: Message-Level TTL: You can set a timer for each message. Once the timer runs out, the message is deleted. If you’ve set up a Dead Letter Exchange , expired messages can be sent there instead. Queue-Level TTL: You can also set an expiration time for all messages in a queue. Any message that stays in the queue longer than the set time will be removed. Efficient Expiration: RabbitMQ doesn’t constantly check for expired messages. It only checks when a queue is accessed or updated. This helps it run efficiently without wasting resources. TTL is a useful way for RabbitMQ to keep queues clean and avoid storing old or unnecessary messages. #RabbitMQ #TTL #MessagingSystem #Tech

RabbitMQ Queues vs. Streams - which to choose? 🤔 Our latest blog post and infographic highlights the strengths and ideal use cases for each. Take a look 👀 https://lnkd.in/d4Dzm4ha RabbitMQ #RabbitMQ #Queues #Streams #RabbitMQDevelopment #techblog #infographic

Over the last couple of weeks in my new job, it's taken some time to understand the who, what, why and where of Seventh State and what any of the technical terms mean (what even is data?) 🤔 But there are days when some things do add up, today isn't that day BUT our expert engineer Lia makes it make sense in this blog on "Queues and Streams". 📈 Lia gives us the lowdown on the basics, optimising your current processes and walks you through some real life applications and how businesses are leveraging these tools for success 😎 💡 #customersuccess #rabbitmq #newjob https://lnkd.in/eDbte75y