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# Conclusion
We have covered basic concepts of Message Queue. There is much more to learn and do. We hope this course gives you a good start and inspires you to explore further.
# Further reading
Message Queue
[https://sudhir.io/the-big-little-guide-to-message-queues](https://sudhir.io/the-big-little-guide-to-message-queues)
[Exactly-once message delivery](https://exactly-once.github.io/posts/exactly-once-delivery/)
[A Fair Comparison of Message Queuing Systems](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9303425)
[Task Queues](https://taskqueues.com/)
[RabbitMQ tutorial](https://www.rabbitmq.com/getstarted.html)

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# Message Queue Concepts
## What to expect from this course
At the end of training, you will have an understanding of what a Message Queue is, learn about different types of Message Queue implementation and understand some of the underlying concepts & trade offs.
## What is not covered under this course
We will not be deep diving into any specific Message Queue.
## Course Contents
## Introduction
### Types of Message Queue:
1. **general-purpose message Broker:** rabbitmq, activemq
2. **message streaming:** kalfa, rocketmq, Redis Streams, PULSAR?, AWS Kinesis stream
3. **Pub/Sub??:** GCP Pub/Sub, AWS SNS
4. **brokerless:** ex zeromq, Chronicle Queue
5. **database-as-queue** Normal people will consider it is an anti-pattern to

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# Key Concepts
Lets looks at some of the key concepts when we talk about messaging queue system
### Delivery guarantees
* **at-lesat-once-delivery**
* **at-most-once-delivery**
* **exactly-once-delivery**
### Messages ordering and parallelism
### Fan Out / In
### Poison Pills and Dead Letters
## Use case
### Work queues
### Publish-subscribe pattern

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- Introduction: level101/databases_nosql/intro.md
- Key Concepts: level101/databases_nosql/key_concepts.md
- Conclusion: level101/databases_nosql/further_reading.md
- Message Queue:
- Introduction: level101/messagequeue/intro.md
- Key Concepts: level101/messagequeue/key_concepts.md
- Conclusion: level101/messagequeue/further_reading.md
- Big Data:
- Introduction: level101/big_data/intro.md
- Evolution and Architecture of Hadoop: level101/big_data/evolution.md
@ -128,6 +132,11 @@ nav:
- Continuous Delivery and Deployment: level102/continuous_integration_and_continuous_delivery/continuous_delivery_release_pipeline.md
- CI/CD Pipeline - Hands-on: level102/continuous_integration_and_continuous_delivery/jenkins_cicd_pipeline_hands_on_lab.md
- Conclusion: level102/continuous_integration_and_continuous_delivery/conclusion.md
- Level 103:
- IaaS
- AWS
- IaC
- Terraform
- Contribute: CONTRIBUTING.md
- Code of Conduct: CODE_OF_CONDUCT.md
- SRE Community: sre_community.md