2. What is RabbitMQ?
⢠Robust messaging for applications
⢠Easy to use
⢠Runs on all major operating systems
⢠Supports a huge number of developer
platforms
⢠Open source and commercially supported
3. What is RabbitMQ?
It is a messaging broker - an intermediary for
messaging.
It gives
⢠your applications a common platform to send
and receive messages
⢠your messages a safe place to live until
received
4. What can RabbitMQ do for you?
⢠Messaging enables software applications to
connect and scale
⢠Applications can connect to each other, as
components of a larger application, or to
uses devices and data
⢠Messaging is asynchronous, decoupling
applications by separating sending and
receiving data
8. Clustering & Federation
⢠Clustering - Several RabbitMQ servers on a
local network can be clustered together,
forming a single logical broker.
⢠Federation - For servers that need to be
more loosely and unreliably connected than
clustering allows.
9. Highly Available Queues /
Many Clients
⢠Highly Available Queues - Queues can be
mirrored across several machines in a
cluster, ensuring that even in the event of
hardware failure your messages are safe.
⢠Many Clients - There are RabbitMQ clients
for almost any language you can think of.
10. Management UI / Tracing
⢠Management UI - Allows to monitor and
control every aspect of the message broker
⢠Tracing - If the messaging system is
misbehaving, RabbitMQ offers tracing
support to let you find out what's going on.
11. RabbitMQ Use cases*
⢠Publish / Subscribe Messaging
⢠Reliable Delivery
⢠Disaster Recovery and Replication
⢠Scaling Applications, Work Offloading and
Batch Processing
⢠Real Time Data in the Browser
12. RabbitMQ Use cases
⢠Cloud Computing: Management,
Provisioning, Scaling and On-Demand
Processing
⢠Security and Multisite VPN Solutions
⢠The Real Time Web and Content Streaming
⢠Other Protocols: XMPP, STOMP, File
Transfer
⢠Mobile Phones and GPS
⢠International Data Delivery Network
13. Publish / Subscribe Messaging
⢠This is a very common pattern
⢠Uses RabbitMQ's AMQP direct exchange
⢠Used for financial services data integration
⢠Also used for adding
o event management
o group chat
o "twitter like" capability
to their applications, instead of dealing with
market data