Maintaining Binary Compatibility in Scala

Xcode Quick Tip – Testing your layout for localization

Recently we encountered buggy UI component positioning when the device language was changed from the default language (English). This is shown below with Dutch. UI component (UISwitch) incorrectly positioned due to ambiguous constraints Due…

The history of infrastructure at Zendesk (Part 2) — the messy middle

What will we leave behind?

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Datadog App Analytics/Logs from One to N

Datadog APM Trace Search from Zero to One

Trace Search and Analytics by Datadog HQ is a fantastic tool for performance analysis and capacity planning. Trace Search has been in Beta over the past year and was announced for General Availability at Dashcon.io. Please see the keynote, related workshop and also its Github repo. In this blogpost we…

Machine learning is blossoming at Zendesk

Bill and Ted’s Excellent Adventure! A Short History of Machine Learning at Zendesk We have invested heavily in ML over the past four years and we…

Datadog Log Management from Zero to One

Datadog APM Trace Search from Zero to One is the first part of advanced techniques we use at Zendesk to plan capacity and keep performance characteristics of the multi-tenant system at expected levels. Response times vary between different API endpoints and customers, as the data set grows rapidly, and new…

Making the most of Answer Bot: topic group visualization using t-SNE

Open sourcing IronBank, our Zuora client

Let’s make a message encoder in Ruby

Binary message encoding is a common pattern in modern distributed systems. Tools like Protobuf, Avro and Thrift are increasingly used to decrease payload size and provide typed contracts for message produces and consumers. Many developers will need to utilise these tools at some point, but they can be opaque and…

The science behind consolidating Answer Bot production Models: Part 2

In the previous post (Part 1), we introduced the issue of consolidating the six production models that are used to provide multilingual support for Answer Bot at Zendesk into a single model. Consolidating these models both simplifies our deployment process for new models, while providing a potentially more scalable solution…

Reverse engineering Sketch’s resizing functionality

My first mission has been diving into the world of rendering our react components back into Sketch, a design tool, to keep the final components in sync. Standing on the shoulders of others, I have…

Creating the ultimate flexibility via Container components in React

React Components / Zendesk Garden This documentation includes React components and utilities that provide visuals, keyboard-navigation, localization, and…garden.zendesk.com I wrote a Twitter thread on some of the cool stuff we’ve done that could be very useful as a starter for other people. So here’s that thread with some extra goodies, in article form. We’ve utilised a really cool pattern…

How we improved the observability of a Go project

Background About a year ago, my team took over responsibility for an event driven system written in Go. One of our first steps was to understand what the application does, and how it does it. The app already had stdout logging, rollbar notifications, datadog statsd metrics, and pager alerts. The previous…

iOS How-to — Add Adaptive constraints to support a Universal App

Device screen size (e.g iPhone or iPad) Device Orientation (portrait or landscape) Adaptation (multi-tasking on iPad) In this post, we will learn how to add NSLayoutConstraints…

Collecting Build Metrics from Buddybuild

So after a long hiatus from writing, I’ve decided to try and be a bit more disciplined and write more frequently. This is the first in a series around how we have introduced build time tracking across our CI environments, and how we track it in our development tools. We…

The science behind consolidating Answer Bot production Models: Part 1

At Zendesk, we believe that great customer service builds strong customer relationships and that Machine Learning ( ML ) can play a powerful role in creating good customer experiences. Whether it is enhancing search tools or powering entire self-service systems, ML has the…

How we use AWS Batch at Zendesk to Build All The Machine Learning Models

In this instalment, I’ll be describing…

Running a team colocation — Days of the week

The Friday before In preparation for the co-location week, we started off by sending a survey to gather: Everyone’s objective for the week List of questions they’d like answers for by the end of…

The Joys of Circuit Breaking

Zendesk’s product suite is built with an evolving service oriented architecture, comprising hundreds of micro services and a growing web of interdependencies. Operating and orchestrating such a large scale distributed system can be challenging. This post will explore the importance of circuit breaking and related concepts. A few weeks ago…

App Onboarding with SwiftUI

Onboarding is the process of helping users to understand an app, and hopefully, encouraging them to continue to use it. Onboarding flows usually consist of one or more screens explaining how a user can use the app, and often involve some input from the user, e.g signing up, logging in…

Building user confidence in machine learning products

I’m a Software Engineer on the Data Products team at Zendesk. Recently I had one of the highlights of my career — working in the team that built Answer Bot. As a front-end specialist, my focus was on crafting the best possible user experience for Zendesk customers…

Zendesk’s Global Mesh Network- Part 2

React containers, some assembly required

Previously, I’ve written about the container pattern we use in our React components in the Zendesk Garden design system. They render no UI, handle keyboard and mouse interaction, and support RTL layouts. I believe this pattern has a lot of merit but its…