Name: LDNUG February 2017 (Ian Cooper on 12-Factor Apps)
Start: 2017-02-16T18:30:00Z
End: 2017-02-16T21:30:00Z
Location: Skillsmatter (CodeNode)

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Programme

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Where the Wild Things Are - Finding Performance Problems Before They Bite You by Matt Warren

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You don’t want to prematurely optimise, but sometimes you want to optimise, the question is - where to start? Profiling and Benchmarking can help you figure out what your application is doing and where performance problems could arise - allowing you to find (and fix!) them before your customers do.

If you aren’t already benchmarking your code this talk will offer some starting points. We’ll look at how to accurately benchmark in .NET and things to avoid. Along the way we’ll also discover some surprising code optimisations!

12-Factor Apps in .NET Core by Ian Cooper

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The buzz is all around Cloud Native: continuous deployment and easy scaling of your server side code. You have heard about Docker and Microservices, but what are 12-factor apps? The Twelve-Factor App methodology (

https://12factor.net/

), was created by engineers with experience of delivering apps on Heroku, and is a "recipe for success" when authoring code for cloud native senarios. In this presentation we will look at what a Twelve-Factor App is, and demonstrate how to meet the requirements when creating .NET applications. We will show examples using ASP.NET Core, Brighter and Darker of authoring code to meet these requirements, and show its deployment to containers as well as Azure Service Fabric and Serverless environments.

By the end of this talk you will know enough to be able to approach another pillar of Cloud Native.

Dylan Beattie

Ian Cooper

London .NET User Group

.NET Foundation

Technology

Open Source

Web Development

Microsoft Azure

SQL Server

ASP.NET

.NET

New Technology

Web Technology

London

Software Development

LDNUG February 2017 (Ian Cooper on 12-Factor Apps)

Skillsmatter (CodeNode)

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London .NET User Group

LDNUG February 2017 (Ian Cooper on 12-Factor Apps)

London .NET User Group

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