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@ -1289,11 +1289,11 @@ Message queues receive, hold, and deliver messages. If an operation is too slow
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The user is not blocked and the job is processed in the background. During this time, the client might optionally do a small amount of processing to make it seem like the task has completed. For example, if posting a tweet, the tweet could be instantly posted to your timeline, but it could take some time before your tweet is actually delivered to all of your followers.
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**Redis** is useful as a simple message broker but messages can be lost.
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**[Redis](https://redis.io/)** is useful as a simple message broker but messages can be lost.
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**RabbitMQ** is popular but requires you to adapt to the 'AMQP' protocol and manage your own nodes.
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**[RabbitMQ](https://www.rabbitmq.com/)** is popular but requires you to adapt to the 'AMQP' protocol and manage your own nodes.
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**Amazon SQS**, is hosted but can have high latency and has the possibility of messages being delivered twice.
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**[Amazon SQS](https://aws.amazon.com/sqs/)** is hosted but can have high latency and has the possibility of messages being delivered twice.
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### Task queues
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@ -136,7 +136,7 @@ Data flow:
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* The **Client** sends a request to the **Web Server**
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* The **Web Server** forwards the request to the **Accounts API** server
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* The **Accounts API** server places a job on a **Queue** such as Amazon SQS or [RabbitMQ](https://www.rabbitmq.com/)
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* The **Accounts API** server places a job on a **Queue** such as [Amazon SQS](https://aws.amazon.com/sqs/) or [RabbitMQ](https://www.rabbitmq.com/)
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* Extracting transactions could take awhile, we'd probably want to do this [asynchronously with a queue](https://github.com/donnemartin/system-design-primer#asynchronism), although this introduces additional complexity
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* The **Transaction Extraction Service** does the following:
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* Pulls from the **Queue** and extracts transactions for the given account from the financial institution, storing the results as raw log files in the **Object Store**
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