Continuous Delivery

Presentations

CI/CD for Machine Learning

Machine Learning is now widely used across our industry, yet we have very limited tooling when it comes to automating the ML model versioning, testing, and release. We will show how a CI/CD pipeline for ML can greatly improve both your productivity and the reliability of your software.

Sasha Rosenbaum Program Manager on the Azure DevOps Engineering Team @Microsoft

Past Presentations

Actionable Continuous Delivery Metrics

High performance teams are defined by their ability to deliver software faster, with higher quality and reliability. A key ingredient is a Continuous Delivery process that allows you to deliver features to production seamlessly. Once you embrace Continuous Delivery, it is important to measure the...

Suzie Prince Head of Product @thoughtworks
Continuous Reliability

Every business going through organizational transformation to gain a competitive advantage faces the same challenge: how do we balance agility and stability? To solve for the agility part of this equation, many development and operations teams turn to continuous integration (CI) and continuous...

Tal Weiss Co-founder and CTO @OverOps
CI/CD: Lessons from LinkedIn and Mockito

LinkedIn and Mockito are two different use cases of implementing continuous delivery at scale. Yet the challenges, benefits and impact on the engineering culture are very similar.In 2015, LinkedIn’s flagship application adopted a continuous delivery model we called 3x3: deploy to production...

Szczepan Faber Mockito Creator, Core Eng Gradle 1.x/2.x, & TechLead @LinkedIn Development Tools

Interviews

-> ~ QCo
FEATURED INTERVIEW QCon San Francisco 2019 PC CHAIR

What are your areas of expertise? What have you been working on?

I've been working in the space of edge computing. A lot of people ask what is edge computing? I like to use the Linux Foundation’s definition from The State of the Edge Report from a couple of years ago. It focuses on the notion of the last mile, that last bit of compute that a telco might give an end-user. That's things... Read Full Interview

Wes Reisz QCon San Francisco Lead Chair, Co-host of the InfoQ Podcast, & Former VP of Technology @SectionIO
Szczepan Faber Mockito Creator, Core Eng Gradle 1.x/2.x, & TechLead @LinkedIn Development Tools

CI/CD: Lessons from LinkedIn and Mockito

What is your motivation for this talk?

In the open source and in the enterprise continuous delivery is not yet adopted as widely as it should given how it helps with productivity. I hope engineering teams will experiment more with continuous delivery and try to push themselves to go into that model.

Read Full Interview
Charity Majors Co-Founder @Honeycombio, formerly DevOps @ParseIT/@Facebook

Yes, I Test In Production (And So Do You)

 What's the motivation for this talk?

The motivation for this talk is to help people understand that deploying software carries an irreducible element of uncertainty and risk.  Trying too hard to prevent failures will actually make your systems and your teams *more* vulnerable to failure and prolonged downtime. So what can you do about it?

Read Full Interview
Sangeeta Handa Engineering Manager, Billing Infrastructure @Netflix

Building Resilience in Production Migrations

What's the focus of the work that you do today?

I lead Billing Infrastructure Engineering at Netflix. We build the infrastructure that helps Netflix collect charges from its members. Part of that is to determine who should be charged and how much through our systems. We also hold all the gift codes and balances and track them. We also support major customer workflows. Our services...

Read Full Interview

Less than

0

weeks until QCon San Francisco 2019

Registration is $2780.00 ($0 off) for the 3-day conference if you register before Dec 31st
SAVE YOUR SEAT

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.