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Jonas Bonér, CTO of LightBend and creator Akka, discusses using Akka when developing distributed systems. He talks about the Actor Model, and how every Microservice needs to be viewed as a system to be successful. 

Why listen to this podcast:

 - Akka is JVM-based framework design for developing distributed systems leveraging the Actor Model - an approach for writing concurrent systems that treat actors as universal primitives and the most successful model with abstraction has been streaming
 - Circuit breakers in Akka are a backup and retry policy; they protect you by capturing failure data and allow you to roll back 
 - Every Microservice needs to be viewed as a system, it needs to have multiple parts that run on different machines in order to function and be fully resilient - thus is a Microsystem
 - Two different trends have emerged when it comes to hardware and environments: one is the trend toward Multi-core, the is a movement toward virtualized environments and the cloud
 - Saga pattern of managing long running transactions in a distributed system fits very well with messaging style architectures

Notes and links can be found on: http://bit.ly/2kwB2eB

Akka
The Actor Model
When Akka and the Actor Model is the perfect choice
Circuit breakers patterns in distributed systems
Two trends toward Multi-core
Reactive Manifesto
Event Driven vs. Message Driven
Reactive Programming and Streams
Microliths to Microsystems
What do you have to get right before you start trying to deploy a distributed systems?
Working with ML / AI at Lightbend to understand tracing through distributed system
Saga Pattern

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Quick scan our curated show notes on InfoQ http://bit.ly/2kwB2eB

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Show Notes

Jonas Bonér on the Actor Model, Akka, Reactive Programming, Microservices and Distributed Systems

Martin Thompson discusses consensus in distributed systems, and how Aeron uses Raft for clustering in the upcoming release. Martin is a Java Champion with over 2 decades of experience building complex and high-performance computing systems. He is most recently known for his work on Aeron and Simple Binary Encoding (SBE). Previously at LMAX he was the co-founder and CTO when he created the Disruptor. 
* Aeron is a messaging system designed for modern multi-core hardware.  It is highly performant with a first class design goal of making it easy to monitor and understand at runtime.  The product is able to simultaneously achieve the lowest latency and highest throughput of any messaging system available today.

Why listen to this podcast: 

* Aeron uses a binary format on the wire rather than a text based protocol.  This is largely done for performance reasons.  Text is commonly used in messaging to make debugging simpler but the debugging problem can be solved using tools like Wireshark and the dissectors that come with it.

* In a forthcoming release of Aeron will support clustering.  Raft was chosen over PAXOS for this since it is more strict. This means that there are fewer potential states the system can be in making it easier to reason about.

* RAFT is an RPC-based protocol, expecting synchronous interactions.  Aeron is asynchronous by its nature, but the underlying Aeron protocol was designed to support consensus, meaning that a lot of things which would typically need to be done synchronously can be done asynchronously and/or in parallel.  

* Static clusters will be added first to Aeron, with dynamic clustering after that, and then cryptography again with the intention of keeping the latency and throughput high. (edited)

More on this: Quick scan our curated show notes on InfoQ https://bit.ly/2Ilewk5

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Martin Thompson on Aeron, Binary vs Text for Message Encoding, and Raft

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Martin Thompson on Aeron, Binary vs Text for Message Encoding, and Raft

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