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…

A Beginners Guide to Deploys and Releases

The process of releasing software to users at scale is one that can be particularly confusing for new software engineers, as most don’t have exposure to this part of the software development process until their first internship or job. I found this to be the case during my time at…

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…

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

In this instalment, I’ll be describing…

10 tips for growing a globally distributed engineering team

Part 2 — Zendesk Spotlight: Our Career-Changer Engineers.

Following on from Zendesk Spotlight: Our Career-Changer Engineers I received so many words of wisdom from our career-changer engineers that it was clearly worth sharing it with the world. And judging by your response to Part 1 you think so too! Here is what they had to say. Catherine Software Engineer…

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…

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…

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…

Recipes for running a successful technical book club at work

This blog post is our learnings from running technical book clubs at Zendesk for the past 2 years. In that time we have run four book clubs: Two books on functional programming languages: Clojure and Scala Reliability is very important to us so we studied the bible on Software Reliability…

Kafka on Ruby

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…

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…

Sorbet: Type annotations for Ruby

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…

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…

Open sourcing IronBank, our Zuora client

Code Coverage and Xcode

Key to unit testing is code coverage…

Hunting for Memory Leaks in Python applications

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…

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…

Maintaining Binary Compatibility in Scala

Running a team colocation — The beginning of something great

An investigation into Kafka Log Compaction

Background At Zendesk, we have been using Kafka in production for several years. Primarily we have been using it to distribute events between services. For example, “a ticket has been changed, and this is what changed”. We are now considering using Kafka to share entities between systems. For example, each time…

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…