A Github Actions Workflow to Generate & Publish your Hugo Website

This short post describes a Github Actions workflow to generate your Hugo-based website and publish it to Github Pages. To learn more about Hugo and GitHub Pages, and how to use them to build your website, see my previous post. What is Github Actions Github Actions is a service from Github which allows you…

Running a team colocation — The beginning of something great

Open sourcing node-publisher

The dependency graph of our hypothetical package “A” We’ve just fixed an annoying bug in dependency C and our task is to propagate the fix up until package A. So…

Going Where our Team has not Gone Before

How to plan out where you’re going when you don’t know how you’re going to get there. Organising a data science team’s research direction is a challenge in itself and there’s no algorithm with which to optimise it. This quarter our team is trying something new. Generally when our data…

What will we leave behind?

…

Zendesk’s Global Mesh Network- Part 1

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…

Chaos Engineering comes to Ruby

In a micro-service environment, an unexpected service outage often comes as a surprise and when it happens it’s stressful for engineers, managers, and the clients. If you want to prepare your Ruby application for the next surprise and prevent it early then this post is for you. I will show…

Having better One-on-Ones

1:1s are often my…

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…

Say Hi to Delivery Boy!

Hot off the heels of releasing Racecar, our easy-to-use framework for running Kafka consumers in Ruby, we’re ready to release yet another Kafka-related library! This time, it’s all about message delivery. Up until now, if you wanted to produce messages to Kafka from a Rails application, you’d need to write…

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…

Performing Kubernetes Service CIDR Block Migration

History At Zendesk, we started our Kubernetes journey in September 2015, shortly after version 1.0 was publicly available. At the time of v1.0 not much information was available and we didn’t have a lot of experience, so some configuration choices that made sense four years ago have had to be reconsidered…

Documentation: it’s more than words

Software development is as much about communication as it is about functionality. At its core, code reflects business processes and business logic. Software never exists solely in a vacuum, it is surrounded by both context and people. Tracking the history of a business and its software becomes an increasingly important…

Blameless Culture

Zendesk’s Global Mesh Network- Part 2

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…

10 tips for growing a globally distributed engineering team

Xcode 10’s build system and Code Generation (R.swift)

R.swift is an open source library which makes it both easier and type-safe to use resources such as images, fonts, and segues. It’s a really cool library, and we have used it successfully at Zendesk for quite a while now. However… The Problem When building a project which uses R.swift with Xcode 10, the build will fail with the following error: error: Build input file cannot be found: /LOCATION/R.generated.swift Why This Happens R.swift is integrated into projects using an Xcode build script phase. This phase generates a Swift file, R.generated.swift, which is compiled when the project is built. The build fails because Xcode 10, with its new parallelizing build system, is trying to locate the R.generated.swift file before it has been created. The Solution Xcode 10 allows us to specify an output file for a build script phase. We can add our R.generated.swift file as an output file as follows: Adding our R.generated.swift file as an output file in our Xcode build script phase This results in a successful build. Awesome! 🎉 Additional When we encountered this initially, we opened a bug with R.swift. However, as shown above, the issue is due to changes in Xcode’s build system. That’s it! 📱🚀👍🏽 Also available on petethedeveloper.com

Maintaining Binary Compatibility in Scala

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…

A minimal Python client for talking to TensorFlow Serving

min-tfs-client is a minimal gRPC client for TensorFlow Serving that doesn’t depend on TensorFlow. TL;DR: min-tfs-client is a minimal python client for TensorFlow Serving that allows you to use serverless services (e.g. AWS Lambda) that have deployment size limits (250 Mb uncompressed, at time of writing). It works by removing TensorFlow as a dependency to create tensor protobufs for the prediction request. Feel free…

The history of infrastructure at Zendesk (Part 3) — Foundation team forming and evolving

Introduction In Part 2, I wrote about our adventures moving from physical data centers to the Cloud. Let’s move on to how we transformed our organizational structure to take advantage of being in the Cloud and enable self-service. Building the foundation In early 2018, our organizational structure was stereotypically old…

pakkr™ (Part I), One Pipeline to Rule Them All

Co-Author This blog is a collaborative effort with Eric Pak. Prequel This is a story of how we, data scientists and machine learning engineers in Zendesk, came out of the dark age of machine learning tooling, built our in-house tooling pakkr pipeline, and shared it with the world. The Dark Age: Life Pre-pakkr and How We Came Here Nowadays, many companies talk…

Datadog App Analytics/Logs from One to N