Summary: For our inaugural podcast QCon chair Wesley Reisz talks to Adrian Cockcroft, who works for Battery Ventures where he advises the firm and its portfolio companies about technology issues and also assists with deal sourcing and due diligence.
Why listen to this podcast
•	Over the last year a large number of frameworks and libraries for building microservices have emerged and we're seeing a lot of rapid change.
•	The stack you choose will often be based on the main language you use, so for example Netflix’s stack is language agnostic but the tooling is very Java-centric.
•	Architectural choices can have a profound impact on success, so some-thing as simple as an overly long timeout with retries can cause your system to suffer from a congestion collapse problem.  Have a large timeout at the edge, and progressively smaller and smaller timeouts as you get deeper into the system.
•	Start with a monolith and move to a distributed architecture when you need to because of team size or to get better separation of concerns.
•	Other disruptive trends include “serverless architecture” like AWS Lambda, and open source itself which is perhaps the true definition of disruptive.
More on this
•	You can access our in-depth coverage on microservices http://bit.ly/1SRnFz3.
•	You can also subscribe to our newsletter to receive weekly updates on the hottest topics from professional software development. http://bit.ly/24x3IVq
•	Attend Adrian Cockcroft 's session at QCon New York 2016, Jun 13-17. http://bit.ly/1TvzlDQ 


Show Notes

Adrian Cockcroft on Microservices, Terraservices and Serverless Computing

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

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

You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq

InfoQ Podcast

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

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Adrian Cockcroft on Microservices, Terraservices and Serverless Computing

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