Building out the messaging and queueing systems section.

README.md

@@ -943,6 +943,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
         - [x] PlentyOfFish Architecture: http://highscalability.com/plentyoffish-architecture
         - [x] Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day: http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html
         - [x] ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second: http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html
+        - [x] See "Messaging and Queueing Systems" way below for info on some of the technologies that can glue services together
         - [x] Twitter:
             - O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter": https://www.youtube.com/watch?v=5cKTP36HVgI
             - Timelines at Scale: https://www.infoq.com/presentations/Twitter-Timeline-Scalability
@@ -1374,6 +1375,19 @@ Some of mine (I already may know answer to but want their opinion or team perspe
     - https://www.youtube.com/watch?v=-SuTGoFYjZs
     - http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/
 
+- [ ] **Messaging and Queueing Systems**
+    - [ ] Thrift
+    - [ ] Protocol Buffers
+    - [ ] Redis
+    - [x] Amazon SQS (queue)
+    - [x] Amazon SNS (pub-sub)
+    - [ ] RabbitMQ
+    - [ ] Celery
+    - [ ] ZeroMQ
+    - [ ] ActiveMQ
+    - [ ] Kafka
+    - [ ] MessagePack
+
 - [ ] **Machine Learning**
     - Why ML?
         - [x] https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70