Redis VS RabbitMQ

Redis

Since 2008 I have been an official Debian Developer and even the Debian Project Leader from 2017—2019. I have submitted over 4,000 bugs to the project, been part of several core teams and have released over 250 security updates as well (as part of the Debian Long Term Support initiative). Today, I am the release manager of the Lintian static analysis tool but I also maintain a number of popular packages such as Redis, Django and Memcached.

In addition, you need to have Redis installed and running on your machine to be able to use subscribers. So, if you do not have it installed and you want to follow along with the tutorial you should go ahead and install it.

Are your queries too slow? Do you have millions of users? To improve query performance, we can setup bloom filters with redis to reduce load the DB.

You can still use it as a whole and you will get a great development and user experience. The backend is built on Node.js, Express, and by default SQLite when you first install the server with the option to use PostgreSQL and Redis.

They've been pushing for things like this for years, but the George Floyd riots last year really emboldened this crowd. The Wokeness we've been seeing infecting all levels of society since 2014 went into absolute overdrive as every company tried to outdo the other with virtue signaling.

In addition to coding challenges, technical interviews can include architecture design. This interview tests the ability of the developer to design something from a technical perspective. For example, design a key-value store like Redis.

Redis module for graph - RedisGraph. RedisGraph uses Cypher for its query language.

Ah, fair enough, that's true. It's written to the AOF before processing the next query (https://github.com/redis/redis/blob/unstable/src/server.c#L4...), so I believe you get read-your-writes consistency per node, but I suppose it is technically written afterwards rather than before.

Redis

There are a lot of ways to actually implement queues. There are products like Kafka or RabbitMQ. There are managed services like AWS SQS or AWS Kinesis. There are libraries like Celery which can be used with Redis or RabbitMQ. For the workers, you can use serverless functions like AWS Lambda or you can have a pool of servers waiting for work.

RabbitMQ

Our message queue is probably redismq, rabbitmq or kubemq, for which we also easily find helm charts.

Unfortunately, Rabbit's implementation of MQTT has some pretty serious deficiencies which you may find ends up being a deal-braker (e.g. https://github.com/rabbitmq/rabbitmq-server/issues/2556).

The notification service usually needs to expose an API to which other services can connect. The API can be synchronous, available through an HTTP REST or GRPC endpoint, or asynchronous and based on a message broker, like RabbitMQ.

If you require a higher degree of message reliability it is worth checking out other message brokers such as Kafka, RabbitMQ or even Redis Streams.

RabbitMQ is a message-queueing software also known as a message broker or queue manager. It supports protocols such as AMQP, MQTT and STOMP, to name a few. RabbitMQ could be used for long-running tasks, for example background jobs, and for communication between different services.

How do I do asynchronous communication? Do I use event queues like Kafka, RabbitMQ or NATS ?

Build another system to handle calls to quotation engine API , using the request stored in DB & save the response( quotation ) back in DB. Check Background Service documentation. Check Hangfire. Check RabbitMq if you need messaging, queues etc. I am sure more experienced people around here can point you to other solutions.

After a brief glimpse at the documentation, I am missing a feature comparable to Kafka's partitioning. Well, the protocol [1] briefly mentions it, but it does not seem to be exposed.

Getting insights into the roadmap for this would certainly be interesting...

[1]: https://github.com/rabbitmq/rabbitmq-server/blob/v3.9.x/deps...