Cloud & Architecture

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 with the CTO of Bouyant Oliver Gould. Bouyant is the maker the LinkerD Service Mesh and the recently released Conduit. In the podcast, Oliver defines a service mesh, clarifies the meaning of the data and control plane, discusses what a Service Mesh can offer a Microservice application owners, and, finally, discusses some of the considerations they took into account developing Conduit.

Why listen to this podcast:

- Service mesh is dedicated infrastructure that handles interservice communication.
- There are two components to a service mesh: the data plane handles communication and the control plane is about policy and config.
- LinkerD and Conduit are two open service meshes made by Bouyant. Conduit has a small memory footprint and provides a convention over configuration approach to service mesh deployment.
- Adopting Rust (language used for implementing the data plane in Conduit) requires thinking of memory differently, and the best way to adopt Rust is to read other people’s code.

More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2skWF61

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Oliver Gould on Service Mesh for Microservices, LinkerD, and the Recently Released Conduit

Owen Garrett, Head of Products @NGINX, talks about some of the biggest challenges companies are facing transitioning from monoliths to microservices. He describes the proxy model (Kubernetes-Ingress controller model), delves into why and when you might need to use a service mesh and reviews the various service mesh products on the market today.  Finally, he introduces NGINX Unit, a dynamic web and application server – configured via API – that is designed to run applications in multiple languages. https://unit.nginx.org/	

Owen Garrett leads the product and go-to-market strategy for NGINX’s web acceleration and application delivery technologies. Owen has over 15 years of experience in software engineering and product leadership at companies such as Zeus and Riverbed, and holds a number of patents in the field.

Owen Garrett: Pragmatic Microservices, Service Mesh, and NGINX Unit

On today’s podcast, Wes Reisz talks to Matt Klein about Envoy. Envoy is a modern, high performance, small footprint edge and service proxy. While it was originally developed at Lyft (and still drives much of their architecture), it is a fully open source driven project. Matt addresses on this podcast what he sees as the major design goals of Envoy, answers questions about a sidecar performance impact, discusses observability, and thinks out loud on the future of Envoy.

Why listen to this podcast:

- Envoy’s goal is to abstract the network from application programmers. It’s really about helping application developers focus on building business logic and not on the application plumbing.
- Envoy is a large community driven project, not a cohesive product that does one thing. It can be used as a foundational building blocks to extend into a variety of use cases, including as an edge proxy, as a service mesh sidecar, and as a substrate for building new products.
- While there is performance cost for using sidecar proxies, the rich featureset is often a worthwhile tradeoff. With that said, there is work being done that is greatly improving Envoy’s performance.
- Envoy is built to run Lyft. There were no features that were in Envoy when it was open sourced that were not used at Lyft.
- Envoy emits a rich set of logs and has a plugable tracing system. The goal is observability first and one of the main project goals.
- Lyft deploys Envoy master twice per week.
- Envoy’s roadmap includes work on automating settings (rate limits and retries), focus on ease of operation (such as where things got routed what the internal timings), and additional protocol support such as Kafka.

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Matt Klein on Lyft’s Envoy, Including Edge Proxy, Service Mesh, & Potential AI Use Cases

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.

Oliver Gould on Service Mesh for Microservices, LinkerD, and the Recently Released Conduit

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