Track: Sponsored Solutions Track II

How Intuit Automates Root Cause Analysis at Scale

Intuit’s Small Business Group is responsible for one of the company’s flagship products, QuickBooks. As one of the biggest business units in the company, its main objective is to improve velocity and productivity for every engineer. Fast and feature rich release cycles are critical to QuickBooks' success.

In this talk, Omer Azmon, Staff Tools Engineer, and Sumit Nagal, Principal Engineer in Quality, will uncover how Intuit automates tasks that take the average engineering team days or weeks to complete. They will share an overview of the engineering culture, architecture, and tools that developers and DevOps professionals in high performing teams can’t live without.

Continuous Delivery of Microservices

This talk serves to be a practical guide for teams endeavoring to design a Continuous Delivery workflow for systems based on microservice architectures.

More and more organizations are moving towards microservice based architectures for their complex systems. Unfortunately organizational behaviors often do not change to properly take advantage of this newer way of thinking.

This talk is based on several years’ of experience architecting, building and deploying microservice based applications at ThoughtWorks.

Some of the things you’ll learn: 1. Practical aspects of designing continuous delivery workflows 2. Recommendations for effective organizational structures to take advantage of these architectures 3. Leveraging modern infrastructure stacks for more effective CD workflows 4. Learn how your system’s architecture contributes towards your success

A/B Testing at Scale with Open Source Proctor

Indeed has been conducting A/B tests for a decade on millions of job seekers around the world. Over the years, we learned a lot. Many of our practices are built into Proctor, our open source A/B testing framework.

In this talk, I will cover requirements for A/B testing at scale, the architecture and algorithms behind Proctor, and best practices for running A/B tests. Learn how you can apply Proctor in your own products to get the benefits of rapid, data-driven experimentation.

Using Microservices to Build an API That Lasts

Steve Jobs once said, “Simple can be harder than complex: You have to work hard to get your thinking clean to make it simple.” This is certainly true when it comes to building a simple and easy-to- use API. SparkPost used microservices to build v1 of their email API. Since launching three years ago it continues to grow in functionality and gather more developer fans. Chris shares some lessons learned and best practices for building an API that developers will love for years to come. Some topics covered include:

• Breaking Changes Bad! API Versioning Good!
• REST Is Best
• API Governance
• Getting your API ready for the big v1.0
• Accurate Documentation & Documentation First
• API First
• Separating Deployment from Release
• Using API gateway or proxy for authentication and rate limiting
• Using community feedback to build the best email API
• When are breaking changes OK?
• Technical Excellence and Community Transparency
• Listen and Respond to the Developer Community
• Client Libraries

Carbon.io: A Node.js API & Microservices Framework

Carbon.io is an application framework based on Node.js and MongoDB that dramatically accelerates the process of building, testing, and documenting well-designed APIs and microservices.

In this talk we will walk through a series of live examples starting with a simple “Hello World!” app and ending with a full-featured REST API. Topics covered will include endpoint creation, input and output validation, database access, and authentication and access control. Finally, you will see how Carbon.io makes it easy to write unit tests for your APIs and generate beautiful API documentation from your code.

MySQL Document Store and Node.JS

The last few years saw the advent of JavaScript on the server-side, and particularly Node.js. The schema-less literal objects known as JSON that are used to express data-structures are key to the dynamic functional nature of the language.

Matching this environment, MySQL recently introduced the MySQL Document Store, which enables using a regular MySQL database to manage schema-less data organized in JSON documents. This presentation will describe the key concepts of the MySQL Document Store alongside with examples. It will also show how to deploy MySQL servers in containers, another common aspect of modern DevOps.