program and English

Neal Ford, the author of The Productive Programmer, discusses the benefits of polyglot programming and the impact it's had on software development.

Polyglot Programming

Author Harry Percival discusses how he got into TDD, why you should too, and shares some tips

The Case for Test-Driven Development

In this week’s podcast, QCon chair Wesley Reisz talks to Keith Adams, chief architect at Slack. Prior he was an engineer at Facebook where he worked on the search type live backend, and is well-known for the HipHop VM [hhvm.com]. Adams presented How Slack Works at QCon SanFrancisco 2016.

Why listen to this podcast:

 - Group messaging succeeds when it feels like a place for members to gather, rather than just a tool
 - Having opt-in group membership scales better than having to define a group on the fly, like a mailing list instead of individually adding people to a mail
 - Choosing availability over consistency is sometimes the right choice for particular use cases
 - Consistency can be recovered after the fact with custom conflict resolution tools
 - Latency is important and can be solved by having proxies or edge applications closer to the user

Notes and links can be found on: http://bit.ly/keith-adams

3m:30s Voice and video interactions are impacted by latency; the same is true of messaging clients
4m:00s The user interface can provide indications of presence, through avatars indicating availability and typing indicators
4m:15s Latency is important; sometimes the difference is between 100ms and 200ms so the message channel monitors ping timeout between server and client
4m:40s 99th percentile is less than 100ms ping time
5m:15s If the 99th percentile is more than 100ms then it may be server based, such as needing to tune the Java GC
5m:25s Network conditions of the mobile clients are highly variable&nbsp;
6m:20s Mobile clients can suffer intermittent connectivity

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Show Notes

Keith Adams on the Architecture of Slack, using MySql, Edge Caching, & the backend Messaging Server

In this week’s podcast, Thomas Betts talks with Chris Richardson, a developer, architect, Java Champion and author of POJOs in Action. Before his workshop on Microservices w/ Spring Boot and Docker at QCon San Francisco 2016, Richardson took time to discuss his ideas on how to use DDD and CQRS concepts as a guide for implementing a robust microservices architecture.

Why listen to this podcast:

 - "Microservice architecture" is a better term than "microservices".   The latter suggests that a single microservice is somehow interesting
 - The concepts discussed in Domain-Driven Design are an excellent guide for how to implement a microservices architecture
 - Bounded Contexts correspond well to individual microservices
 - Event sourcing and CQRS provide patterns for how to implement loosely coupled services
 - When converting a monolith to microservices, avoid a big bang rewrite, in favor of an iterative approach

Notes and links can be found on: http://bit.ly/2hZ8TM1

11m:51s - Microservices must be loosely coupled, usually creating a model with one database per service.
12m:45s - There is a business requirement to maintain data consistency across services, and using an event driven architecture is a good way to achieve that.
13m:38s - Event sourcing is specific technique for persisting domain objects as a series of events.
14m:11s - Just as transactions don’t like to be split across microservices, queries cannot simply join across multiple data sources. CQRS provides a solution that accommodates querying via microservices and materialized views.

More on this:
Quick scan our curated show notes on InfoQ. http://bit.ly/2hZ8TM1

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Chris Richardson on Domain-Driven Microservices Design

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

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

In this podcast, recorded live at Strange Loop 2017, Wes talks to Charity, cofounder and CEO of honeycomb.io.  They discuss the social side of debugging and her Strange Loop talk “Observability for Emerging Infra: What got you Here Won't get you There”.  Other topics include advice for testing in production,  shadowing and splitting traffic, and sampling and aggregation.

Why listen to this podcast:

 - Statistical sampling allows for collecting more detailed information while storing less data, and can be tuned for different event types.
 - Testing in production is possible with canaries, shadowing requests, and feature switches
 - Pulling data out of systems is just noise - it becomes valuable once someone has looked at it and indicates the meaning behind it.
 - Instrumenting isn’t just about problem detection - it can be used to ask business questions later
 - You can get 80% of the benefit from 20% of the work in instrumenting the systems.

More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2y6OP1b

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

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Charity Majors on Honeycomb.io, the Social Side of Debugging and Testing in Production

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Keith Adams on the Architecture of Slack, using MySql, Edge Caching, & the backend Messaging Server

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