Rotational Security Interns

The internship will…

Data store migrations with no downtime

Data store migrations can be complex, especially if the application cannot afford to have maintenance downtime. We will explore some strategies that can help you navigate the complexity. In our case, it was a migration from a NoSQL data store, DynamoDB into a relational data store, MySQL. However, this post…

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

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…

How we run gamedays in Talk

While we can sometimes see our products as simply a bundle of operations with corresponding Service Level Indicators and Objectives, we also need to keep in mind the human factor responsible for maintaining these agreements. Introduction This article idea came after a 2019 EMEA SREcon talk that strongly resonated with me…

Running a team colocation — The TL;DR

NO to over-planning, YES to #COLOYOLO Don’t over-plan and take it easy! Make it a working week, don’t try to overload it with meetings. Just remember…

I have a problem with 1on1 questions…

1on1s can be hard. If you’re a manager you have probably seen multiple articles offering the quick fix of questions to ask your team… A 30 second online search turned up pages of articles with catchy clickbait titles like: One on One Meeting Questions Asked By Great Managers! Top 10…

The Dawn of Zendesk’s Machine Learning Model Building Platform with AWS Batch

This article focuses on the new model…

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…

Zendesk ML Model Building Pipeline on AWS Batch: Monitoring and Load Testing

The series started with Wai Chee Yau’s exploration of AWS Batch and why we ended up choosing it…

Zendesk’s Global Mesh Network- Part 2

Hunting for Memory Leaks in Python applications

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…

Implementing mTLS and Securing Apache Kafka at Zendesk

This article was originally posted on the Confluent blog at https://www.confluent.io/blog/how-zendesk-secures-kafka-with-mtls-authentication-system/ Background At Zendesk, Apache Kafka® is one of our foundational services for distributing events among different internal systems. We have pods, which can be thought of as isolated cloud environments where our products run, spread out all across the world…

Datadog App Analytics/Logs from One to N

Zendesk Spotlight: Our Career-Changer Engineers.

(Part One) Zendesk Engineering in Melbourne is growing, and growing fast. Four years ago we had five engineering teams and now there is somewhere in the vicinity of thirty. One of the pillars of this rapid growth has been the hiring of career changers — folks who have decided to shift their…

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

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…

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…

Composable Go

With a lot of languages, it is easy to replace a given function or method call with a mocked version. Dynamically replacing or statically injecting mocked dependencies makes testing code much easier. Personally I’ve found this approach less than ideal in Go, so I’ve been looking for another way to…

What will we leave behind?

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The history of infrastructure at Zendesk (Part 1) — constant tradeoffs

Leading Machine Learning at Zendesk

I recently participated in an interview series covering careers in emerging technology fields on the French website TOM.travel. I’ve been leading machine learning at Zendesk for the last 6 years and over that time we’ve grown from two people in Melbourne to tens of people on three continents. I discussed…

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…

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

In this instalment, I’ll be describing…