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Down the RabbitMQ hole
Life After Service Bus for Windows Server
Why?
https://days.to/until/9-january
Alternatives
 Apache Kafka
 RabbitMQ
 Apache Active MQ
 Kestrel
 Redis ?
 MSMQ
Kafka
Global Apache Kafka architecture (with 1 topic, 1 partition, replication factor 4).
Source: http://kth.diva-portal.org/smash/get/diva2:813137/FULLTEXT01.pdf
Kafka
 Stream from A to B without complex routing, with maximal throughput
(100k/sec+), delivered in partitioned order at least once.
 When your application needs access to stream history, delivered in
partitioned order at least once. Kafka is a durable message store and clients
can get a “replay” of the event stream on demand, as opposed to more
traditional message brokers where once a message has been delivered, it is
removed from the queue.
 When you have smart clients who can reliably track their log offset.
 If your application needs an “infinite” queue.
RabbitMQ
Simplified overall RabbitMQ architecture. Source: http://kth.diva-
portal.org/smash/get/diva2:813137/FULLTEXT01.pdf
RabbitMQ
 Your application needs to work with any combination of existing protocols like
AMQP 0-9-1, STOMP, MQTT, AMQP 1.0.
 You need mature, well understood consistency guarantees for your message
delivery.
 Your application needs variety in point to point, request / reply, and
publish/subscribe messaging.
 Complex routing to consumers, integrate multiple services/apps with non-
trivial routing logic.
 When integration with your existing IT infrastructure is important, RabbitMQ
shines.
 Use 3rd Party Apache Cassandra for stream history.
 Use 3rd Party LevelDB plugin for an “infinite” queue.
RabbitMQ
Pros
 It’s AMQP, just like Service Bus Messaging.
 It’s widely accepted, it’s probably the most used queuing solution on-prem at the
moment.
 It’s mature, it is currently celebrating it’s 10th anniversary.
 It’s stand-alone and doesn’t use SQL server (or any other commercial
database). Why do I also have to pay for SQL Server for something like queuing?
 High availability only requires 2 machines, whereas Service Bus for Windows
Server requires at least 3 machines in its farm && a SQL cluster.
 It’s cross-platform: Windows, Linux (multiple distributions) and Mac.
Pros
 It supports all popular programming platforms and languages. This is really
neat. No more Mono stuff needed, just use Java or PHP.
 Python, Java, Ruby, PHP, C#, JavaScript, Go, Elixir, Objective-C, Swift
 It supports multiple messaging protocols
 AMQP 0.8 - 1.0, STOMP (text based), MQTT (IoT) and messaging over HTTP (API,
AMQP over JSON-RPC)
 It has a built-in management portal to manage about everything. Includes
stats.
 And last but not least, the comprehensive documentation!
 Ow… and MSMQ is not an alternative, better go wash your mouth.
Cons
 There’s no adapter in BizTalk (so we programmed a WCF binding in a few days
time probably).
 You’ll need to get used to the “Rabbit-way-of-working”, but you are never too
old to learn.
Support and Cloud
 Commercial (supported) version:
 Pivotal RabbitMQ is the go-to commercial version
 https://network.pivotal.io/products/pivotal-rabbitmq
 Cloud versions:
 CloudAMQP (out-of-the-box, AWS, Azure, GCP)
 Microsoft Azure (Bitnami)
 Amazon Web Services
 Google Cloud Platform
Patterns
 Direct
 Fanout
 Topic
 Headers
Direct
 Routing is based on the routing key sent along
 The routing key defined in the direct exchange should exactly match the
routing key sent along
Fanout
 Binding is done on the exchange
 Any info, like routing keys or headers, are discarded. The message will always
be sent to all bound queues.
Topic
 Works with wildcards
Headers
 Routing is based on headers sent along with the message
 Equivalent to e.g. SOAP Headers or even BizTalk Context
RPC Call
 Request on one queue
 Response on another
 Acknowledge after sending the response
Life After Service Bus for Windows
Server?
I’d go for RabbitMQ
 It’s light-weight
 It’s reliable
 It’s easy to use, comprehensive documentation
 It supports AMQP
 It supports all major programming languages: Java, .Net, PHP, etc
 It supports all major platforms (server): Windows, Linux & Mac
Sources
 https://www.rabbitmq.com
 https://content.pivotal.io/blog/understanding-when-to-use-rabbitmq-
or-apache-kafka
 https://content.pivotal.io/blog/messaging-patterns-for-event-driven-
microservices
 https://engineering.linkedin.com/distributed-systems/log-what-every-
software-engineer-should-know-about-real-time-datas-unifying
 https://dzone.com/articles/exploring-message-brokers

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Down the RabbitMQ Hole

  • 1. Down the RabbitMQ hole Life After Service Bus for Windows Server
  • 3. Alternatives  Apache Kafka  RabbitMQ  Apache Active MQ  Kestrel  Redis ?  MSMQ
  • 4. Kafka Global Apache Kafka architecture (with 1 topic, 1 partition, replication factor 4). Source: http://kth.diva-portal.org/smash/get/diva2:813137/FULLTEXT01.pdf
  • 5. Kafka  Stream from A to B without complex routing, with maximal throughput (100k/sec+), delivered in partitioned order at least once.  When your application needs access to stream history, delivered in partitioned order at least once. Kafka is a durable message store and clients can get a “replay” of the event stream on demand, as opposed to more traditional message brokers where once a message has been delivered, it is removed from the queue.  When you have smart clients who can reliably track their log offset.  If your application needs an “infinite” queue.
  • 6. RabbitMQ Simplified overall RabbitMQ architecture. Source: http://kth.diva- portal.org/smash/get/diva2:813137/FULLTEXT01.pdf
  • 7. RabbitMQ  Your application needs to work with any combination of existing protocols like AMQP 0-9-1, STOMP, MQTT, AMQP 1.0.  You need mature, well understood consistency guarantees for your message delivery.  Your application needs variety in point to point, request / reply, and publish/subscribe messaging.  Complex routing to consumers, integrate multiple services/apps with non- trivial routing logic.  When integration with your existing IT infrastructure is important, RabbitMQ shines.  Use 3rd Party Apache Cassandra for stream history.  Use 3rd Party LevelDB plugin for an “infinite” queue.
  • 9. Pros  It’s AMQP, just like Service Bus Messaging.  It’s widely accepted, it’s probably the most used queuing solution on-prem at the moment.  It’s mature, it is currently celebrating it’s 10th anniversary.  It’s stand-alone and doesn’t use SQL server (or any other commercial database). Why do I also have to pay for SQL Server for something like queuing?  High availability only requires 2 machines, whereas Service Bus for Windows Server requires at least 3 machines in its farm && a SQL cluster.  It’s cross-platform: Windows, Linux (multiple distributions) and Mac.
  • 10. Pros  It supports all popular programming platforms and languages. This is really neat. No more Mono stuff needed, just use Java or PHP.  Python, Java, Ruby, PHP, C#, JavaScript, Go, Elixir, Objective-C, Swift  It supports multiple messaging protocols  AMQP 0.8 - 1.0, STOMP (text based), MQTT (IoT) and messaging over HTTP (API, AMQP over JSON-RPC)  It has a built-in management portal to manage about everything. Includes stats.  And last but not least, the comprehensive documentation!  Ow… and MSMQ is not an alternative, better go wash your mouth.
  • 11. Cons  There’s no adapter in BizTalk (so we programmed a WCF binding in a few days time probably).  You’ll need to get used to the “Rabbit-way-of-working”, but you are never too old to learn.
  • 12. Support and Cloud  Commercial (supported) version:  Pivotal RabbitMQ is the go-to commercial version  https://network.pivotal.io/products/pivotal-rabbitmq  Cloud versions:  CloudAMQP (out-of-the-box, AWS, Azure, GCP)  Microsoft Azure (Bitnami)  Amazon Web Services  Google Cloud Platform
  • 14. Direct  Routing is based on the routing key sent along  The routing key defined in the direct exchange should exactly match the routing key sent along
  • 15. Fanout  Binding is done on the exchange  Any info, like routing keys or headers, are discarded. The message will always be sent to all bound queues.
  • 16. Topic  Works with wildcards
  • 17. Headers  Routing is based on headers sent along with the message  Equivalent to e.g. SOAP Headers or even BizTalk Context
  • 18. RPC Call  Request on one queue  Response on another  Acknowledge after sending the response
  • 19. Life After Service Bus for Windows Server? I’d go for RabbitMQ  It’s light-weight  It’s reliable  It’s easy to use, comprehensive documentation  It supports AMQP  It supports all major programming languages: Java, .Net, PHP, etc  It supports all major platforms (server): Windows, Linux & Mac
  • 20. Sources  https://www.rabbitmq.com  https://content.pivotal.io/blog/understanding-when-to-use-rabbitmq- or-apache-kafka  https://content.pivotal.io/blog/messaging-patterns-for-event-driven- microservices  https://engineering.linkedin.com/distributed-systems/log-what-every- software-engineer-should-know-about-real-time-datas-unifying  https://dzone.com/articles/exploring-message-brokers