Past Meetup

March Microservices Meetup

This Meetup is past

109 people went

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Details

Hi everybody,

I'm excited to announce our March meetup for SF Microservices! Last month, we were hosted by Weaveworks (https://www.weave.works/) in Potreo Hill (for the second time!), and we had an awesome night. Thank you again to Weave, as well as to all of our February speakers. This month, we will be hosted by Apcera (https://www.apcera.com/), and we're looking forward to a great night of talks, empanadas, and drinks!

Agenda

6:00 PM- Doors Open

6:30 PM- Talks Begin

8-8:30 PM- Questions, Socializing, Networking

Speakers

Thomas Hunter,@tlhunter (https://twitter.com/tlhunter), Software Engineer at OpenTable (https://www.opentable.com/start/home)

Node and Redis

This talk will follow the evolution of a simple application, beginning with a naive approach of storing data in memory, an explanation of why this fails when using multiple service instances (e.g. with Node cluster), and finally a revamped version storing state in Redis.

We'll also look at performing ato1mic operations using both the simple MULTI/EXEC commands, and the more complex EVAL/EVALSHA commands.

David Wells, @DavidWells (https://twitter.com/davidwells?lang=en), Senior Software Engineer at Serverless (https://serverless.com/)

Building Serverless Microservices

David will explore different use cases for building microservices with Serverless technology. The talk will include examples from companies and other open source projects. David will also present a new open source project that is built with AWS Serverless technology.

Ben Horowitz, Technical Architect at NGNIX (https://www.nginx.com/resources/wiki/)

Adapting the Twelve‑Factor App for Microservices

The Twelve‑Factor App is a set of general principles for creating useful web apps. NGINX has extended the Twelve‑Factor App with our own additions and microservices‑ specific modifications. Learn about how to adapt the core ideas in The Twelve‑Factor App to a general‑purpose microservices architecture that is optimized for continuous delivery.