Awesome way to explain what SRE is how companies should be transforming themselves to run their services reliably...

Functional Programming

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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Show Notes

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

This week on the InfoQ Podcast, Wes Reisz talks to Tanya Reilly (Principal Engineer at Squarespace and previously a staff SRE at Google). Tanya discusses her research into how the fire code evolved in New York and draws on some of the parallels she sees in software. Along the way, she discusses what it means to be an SRE, what effective aspects of the role might look like, and her opinions on what we as an industry should be doing to prevent disasters. This podcast features discussion on paved roads, prevention, testing, firefighting (in software), and reliability questions to ask throughout the software lifecycle.

Why listen to this podcast:

- Teams increasingly   are responsible for the entire software lifecycle. When this happens, they think about the software differently because they know their the ones that will get paged if it fails. This idea is at the core of the “You Build It, You Run It” philosophy in DevOps.
- The role of SRE is to define how to do things in a really reliable way. The focus is to make the majority of the operations work go away, and, for the things that can’t go away, it’s as easy as possible.
- At the very start of a project (when you’re writing the initial design), you should be thinking about the dependencies for a system and how will those that follow with be able to determine that. A great way to do this is to offer an API that people will want to use and then instrument it.
- We can learn a lot from the growth of fire safety regulations as metaphors for software, including: fireproof interior walls, socializing best practices, software inspections, and circuit breakers are all examples.
- The work SREs do varies in many places. SREs range from making recommendations on patterns to library creators in other areas. Occasionally, SREs are firefighters of last resort. In these cases, they’re the last resort though.
- We use error budgets and SLOs to quantify how many much risk we’re comfortable taking. It’s used to inform how much less (or more risk) we’re willing to take on.
- We need to consider software reliability throughout the full cycle of software development. When you build systems. Think about as if there will not be someone on call for it .

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Tanya Reilly on Site Reliability Engineering and the Evolution of the New York City Fire Code

Software engineers, architects and team leads have found inspiration to drive change and innovation in their team by listening to the weekly InfoQ Podcast. They have received essential information that helped them validate their software development map. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 1,200,000 downloads in the last 3 years.

Tanya Reilly on Site Reliability Engineering and the Evolution of the New York City Fire Code

InfoQ

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