Posts by Tag

AWS

• Lessons from the data lake, part 1: Architectural decisions
  21 Nov 2018—Paul Doran, Sien Figoureux, Joe Mulvey, David Whittingham

• How we used Databricks notebooks, MLeap and Kubernetes to productionize Spark ML faster
  03 Oct 2018—Edward Kent

• Using AWS Lambdas for data lake monitoring
  26 Mar 2018—Ed Kent, Seema Anwer, Sien Figoureux, Sam Wedge, Paul Doran

• Supporting Building a Data Lake
  03 Oct 2017—Chris McKean

Accessibility

• Building a more accessible web form
  26 Mar 2020—Stuart Hull

Agile

• A Road Trip through Data Delivery
  04 Feb 2020—Mark Millican

Airflow

• Auto-generating an Airflow DAG using the dbt manifest
  15 Sep 2021—Sam Wedge, Surbhi Verma, Philippa Main

• View from across the data lake: Developing the mileage indicator using our self-service Data Platform
  12 May 2020—Simon Dudley

• Data Universe event videos
  14 Dec 2018—Elly Linnegar

Alexa

• Let's have a conversation
  06 Apr 2017—Dave Buckthorpe

Android

• Migrating to Kotlin—what to look out for
  21 Feb 2020—John Butterworth

AngularJS

• Everything's a component—writing domain specific, re-usable Angular components across squads
  29 Oct 2017—Craig Shipton

• Building a Fast Search Experience
  27 Oct 2017—Elliot Sumner

• Configurable custom dimensions for AngularJS apps
  08 Jan 2016—Thomas Inman

Artificial Intelligence

• Impressions of the 2023 Data Council conference and Austin, Texas
  05 Oct 2023—Tim Summerton-Brier, Stevie Woods, John Harrison

• View from across the data lake: Developing the mileage indicator using our self-service Data Platform
  12 May 2020—Simon Dudley

• Cultural Learnings of Data Academy for Make Benefit Glorious Company of Auto Trader: or how we're promoting data literacy.
  11 Mar 2019—Angelos Georgiadis, Jim Stamp (and Borat)

• How buyers are affected by an AI-driven product: Price Indicator
  06 Mar 2019—Angelos Georgiadis, Jim Stamp

AssertJ

• Using AssertJ
  11 Apr 2017—Nick Baker & Paul Doran

Avro

• Lessons from the data lake, part 1: Architectural decisions
  21 Nov 2018—Paul Doran, Sien Figoureux, Joe Mulvey, David Whittingham

Back End

• Things I learned when building an API gateway with reactive Spring
  15 Mar 2023—Fraser Chapman

Bayesian

• Scoring Adverts Quickly but Fairly
  28 Oct 2022—Tom Armitage & Mahmoud Oshagh

Career Development

• A Boot Camp Career Reboot
  21 Jun 2018—Joe Mulvey

• Developing Your Career
  10 Apr 2017—Mark Crossfield & Jim Stamp

Cloud Networking

• Keeping the engine running efficiently event—March 7th
  18 Feb 2019—Dave Whyte

Code Craft

• Exception Handling Conundrums
  05 Sep 2017—Chloe Hodgson

• Meaningful Code Using Types
  12 May 2016—Michael Hatch

Conferences

• Impressions of the 2023 Data Council conference and Austin, Texas
  05 Oct 2023—Tim Summerton-Brier, Stevie Woods, John Harrison

• How we used Databricks notebooks, MLeap and Kubernetes to productionize Spark ML faster
  03 Oct 2018—Edward Kent

• Speaking about Continuous Deployment at Pink18
  09 Jul 2018—Matt Beaney

• Lead Developer 2017
  15 Sep 2017—Phil Armstrong

• Monitorama Portland Conference
  20 Jun 2017—Mark Crossfield

Containers

• Keeping the engine running efficiently event—March 7th
  18 Feb 2019—Dave Whyte

Conversational

• Let's have a conversation
  06 Apr 2017—Dave Buckthorpe

Culture Change

• View from across the data lake: Developing the mileage indicator using our self-service Data Platform
  12 May 2020—Simon Dudley

• Cultural Learnings of Data Academy for Make Benefit Glorious Company of Auto Trader: or how we're promoting data literacy.
  11 Mar 2019—Angelos Georgiadis, Jim Stamp (and Borat)

• How buyers are affected by an AI-driven product: Price Indicator
  06 Mar 2019—Angelos Georgiadis, Jim Stamp

Cypress

• Reliable tracking: Validating Snowplow events using Cypress & Snowplow Micro
  09 Apr 2021—Dru Chavda

DBT

• How Auto Trader ensures end-to-end data trust at scale
  30 Nov 2021—Bethanie Garfin, Richard Wilmer

• Auto-generating an Airflow DAG using the dbt manifest
  15 Sep 2021—Sam Wedge, Surbhi Verma, Philippa Main

Data Analytics

• Charting My Experience as a Graduate Data Analyst
  07 Mar 2024—Marcus Wong

Data Engineering

• Impressions of the 2023 Data Council conference and Austin, Texas
  05 Oct 2023—Tim Summerton-Brier, Stevie Woods, John Harrison

• Real-Time Personalisation of Search Results with Auto Trader's Customer Data Platform
  23 Nov 2022—Connor Charles, Andrew Crosby, Jason Motee, Michael Reppion, Olivia Pennington

• Dry running our data warehouse using BigQuery and dbt
  06 Apr 2022—Connor Charles

• Auto-generating an Airflow DAG using the dbt manifest
  15 Sep 2021—Sam Wedge, Surbhi Verma, Philippa Main

Data Platform

• Improving confidence in our tracking with auto-generated Snowplow types
  05 Apr 2024—Bethanie Garfin

• How Auto Trader ensures end-to-end data trust at scale
  30 Nov 2021—Bethanie Garfin, Richard Wilmer

• View from across the data lake: Developing the mileage indicator using our self-service Data Platform
  12 May 2020—Simon Dudley

• A Road Trip through Data Delivery
  04 Feb 2020—Mark Millican

• Using Machine Learning to estimate how attractive adverts are to car buyers
  20 Sep 2019—Jenny Burrow, Angelos Georgiadis and Antreas Kouroupides

• How we use Architectural Decision Records (ADRs) on Data Engineering
  20 Mar 2019—Paul Doran

• Cultural Learnings of Data Academy for Make Benefit Glorious Company of Auto Trader: or how we're promoting data literacy.
  11 Mar 2019—Angelos Georgiadis, Jim Stamp (and Borat)

• How buyers are affected by an AI-driven product: Price Indicator
  06 Mar 2019—Angelos Georgiadis, Jim Stamp

• Data Universe event videos
  14 Dec 2018—Elly Linnegar

• Lessons from the data lake, part 1: Architectural decisions
  21 Nov 2018—Paul Doran, Sien Figoureux, Joe Mulvey, David Whittingham

• Delve into our data universe event—November 21st
  12 Nov 2018—Elly Linnegar

• How we used Databricks notebooks, MLeap and Kubernetes to productionize Spark ML faster
  03 Oct 2018—Edward Kent

• Using AWS Lambdas for data lake monitoring
  26 Mar 2018—Ed Kent, Seema Anwer, Sien Figoureux, Sam Wedge, Paul Doran

• Supporting Building a Data Lake
  03 Oct 2017—Chris McKean

Data Science

• Impressions of the 2023 Data Council conference and Austin, Texas
  05 Oct 2023—Tim Summerton-Brier, Stevie Woods, John Harrison

• Life Cycle of Our Package Uplift Model
  17 Apr 2023—Olivia Pennington & Tom Armitage

• Demonstrating the Value of our Packages
  24 Mar 2023—Tom Armitage & Olivia Pennington

• Scoring Adverts Quickly but Fairly
  28 Oct 2022—Tom Armitage & Mahmoud Oshagh

• Moving from buckets to vectors: How to use Machine Learning to quantify how similar vehicles are to each other
  17 Feb 2021—Thomas Armitage

• Using Machine Learning to estimate how attractive adverts are to car buyers
  20 Sep 2019—Jenny Burrow, Angelos Georgiadis and Antreas Kouroupides

• Data Universe event videos
  14 Dec 2018—Elly Linnegar

Data Teams

• A Road Trip through Data Delivery
  04 Feb 2020—Mark Millican

Databricks

• How we used Databricks notebooks, MLeap and Kubernetes to productionize Spark ML faster
  03 Oct 2018—Edward Kent

Delivery

• A Road Trip through Data Delivery
  04 Feb 2020—Mark Millican

Delivery Platform

• Non-disruptive in-place K8s cluster upgrades at Auto Trader
  21 Jul 2022—Chris Gillatt

Deployment

• Speaking about Continuous Deployment at Pink18
  09 Jul 2018—Matt Beaney

• It matters what you measure
  15 Sep 2017—Matt Beaney

Design

• AT Design Talks
  09 Aug 2021—Andrew Woodhouse

DevOps

• Non-disruptive in-place K8s cluster upgrades at Auto Trader
  21 Jul 2022—Chris Gillatt

Development

• Migrating to Kotlin—what to look out for
  21 Feb 2020—John Butterworth

Digital Analytics

• Creating an enriched view of the consumer
  09 Jan 2024—Steven Morrow

• Navigating Turbulence with our Landing Page Performance Model
  17 Nov 2023—Catherine Wates

Early Careers

• Charting My Experience as a Graduate Data Analyst
  07 Mar 2024—Marcus Wong

Engagement

• Cultural Learnings of Data Academy for Make Benefit Glorious Company of Auto Trader: or how we're promoting data literacy.
  11 Mar 2019—Angelos Georgiadis, Jim Stamp (and Borat)

• How buyers are affected by an AI-driven product: Price Indicator
  06 Mar 2019—Angelos Georgiadis, Jim Stamp

Engineering Blog

• Charting My Experience as a Graduate Data Analyst
  07 Mar 2024—Marcus Wong

• Creating an enriched view of the consumer
  09 Jan 2024—Steven Morrow

• Navigating Turbulence with our Landing Page Performance Model
  17 Nov 2023—Catherine Wates

• Faith Driven Development
  11 Jul 2023—Nick Baker

• Life Cycle of Our Package Uplift Model
  17 Apr 2023—Olivia Pennington & Tom Armitage

• Demonstrating the Value of our Packages
  24 Mar 2023—Tom Armitage & Olivia Pennington

• Auto Trader Engineering Blog
  01 Dec 2015—Mark Crossfield

Experiments

• Real-Time Personalisation of Search Results with Auto Trader's Customer Data Platform
  23 Nov 2022—Connor Charles, Andrew Crosby, Jason Motee, Michael Reppion, Olivia Pennington

• Experimentation at Auto Trader
  09 Mar 2022—Charlotte Wright

• Running Experiments At Auto Trader
  23 Apr 2019—John Payne & Rob Chisholm

• Experiments and the 3 Lies we Pin on Them
  13 Jun 2018—Amy O' Leary

Fault Tolerance

• Resilience4j - a lightweight, flexible circuit breaker
  13 Sep 2017—Philippa Main

Front End

• The Case For CSS-in-JS
  23 Jul 2020—Stephen Fairbanks

• Building a more accessible web form
  26 Mar 2020—Stuart Hull

• Everything's a component—writing domain specific, re-usable Angular components across squads
  29 Oct 2017—Craig Shipton

• Building a Fast Search Experience
  27 Oct 2017—Elliot Sumner

• How we halved page load times using Tree Shaking and Ahead Of Time Compilation
  24 Jul 2017—Mike Smith

Git

• Use templates for better Git commit messages
  11 Jun 2018—John Harrison

GitHub

• Adding GitHub Organisation Webhook Support to GoCD
  29 Aug 2017—Stephen Murby

GoCD

• Adding GitHub Organisation Webhook Support to GoCD
  29 Aug 2017—Stephen Murby

Google Analytics

• Configurable custom dimensions for AngularJS apps
  08 Jan 2016—Thomas Inman

Google Cloud

• Non-disruptive in-place K8s cluster upgrades at Auto Trader
  21 Jul 2022—Chris Gillatt

Graduate Programme

• Charting My Experience as a Graduate Data Analyst
  07 Mar 2024—Marcus Wong

Hack Manchester

• How we (almost) completed a natural language recipe recommendation engine using Twitter in a 24-hour hackathon
  09 Jan 2018—Andy May, Leon Pelech (@LeonPelech), Phillip Taylor, Simon Dudley (@SiLaDu)

Hackathon

• Greater Manchester College Hack 2018
  23 Oct 2018—Philippa Main, Chloe Hodgson, Hafeez Mushtaq

• How we (almost) completed a natural language recipe recommendation engine using Twitter in a 24-hour hackathon
  09 Jan 2018—Andy May, Leon Pelech (@LeonPelech), Phillip Taylor, Simon Dudley (@SiLaDu)

• ReactRiot!
  06 Jul 2017—Nick Baker

• Let's have a conversation
  06 Apr 2017—Dave Buckthorpe

• Recommendation Engine Hack
  15 Jan 2017—Amy O' Leary

Infrastructure

• All The Small Things
  14 Feb 2019—Shaun Creary

• Supporting Building a Data Lake
  03 Oct 2017—Chris McKean

Java

• Things I learned when building an API gateway with reactive Spring
  15 Mar 2023—Fraser Chapman

• Single Sign-On and Basic Auth with Spring Security
  25 Jun 2021—Simon Dudley

• Migrating to Kotlin—what to look out for
  21 Feb 2020—John Butterworth

• Resilience4j - a lightweight, flexible circuit breaker
  13 Sep 2017—Philippa Main

• Exception Handling Conundrums
  05 Sep 2017—Chloe Hodgson

• Using AssertJ
  11 Apr 2017—Nick Baker & Paul Doran

• Meaningful Code Using Types
  12 May 2016—Michael Hatch

JavaScript

• How we halved page load times using Tree Shaking and Ahead Of Time Compilation
  24 Jul 2017—Mike Smith

Kafka

• Real-Time Personalisation of Search Results with Auto Trader's Customer Data Platform
  23 Nov 2022—Connor Charles, Andrew Crosby, Jason Motee, Michael Reppion, Olivia Pennington

Kotlin

• Migrating to Kotlin—what to look out for
  21 Feb 2020—John Butterworth

Kubernetes

• Non-disruptive in-place K8s cluster upgrades at Auto Trader
  21 Jul 2022—Chris Gillatt

• How we used Databricks notebooks, MLeap and Kubernetes to productionize Spark ML faster
  03 Oct 2018—Edward Kent

• Customisable Logging on Kubernetes
  15 Jul 2018—Mike Eves

Lambda

• Using AWS Lambdas for data lake monitoring
  26 Mar 2018—Ed Kent, Seema Anwer, Sien Figoureux, Sam Wedge, Paul Doran

Learning

• All The Small Things
  14 Feb 2019—Shaun Creary

• A Boot Camp Career Reboot
  21 Jun 2018—Joe Mulvey

Logging

• Sending Spark logs to ELK using logstash-gelf
  10 Sep 2018—Karim Essawi

• Customisable Logging on Kubernetes
  15 Jul 2018—Mike Eves

Machine Learning

• Impressions of the 2023 Data Council conference and Austin, Texas
  05 Oct 2023—Tim Summerton-Brier, Stevie Woods, John Harrison

• Life Cycle of Our Package Uplift Model
  17 Apr 2023—Olivia Pennington & Tom Armitage

• Demonstrating the Value of our Packages
  24 Mar 2023—Tom Armitage & Olivia Pennington

• Scoring Adverts Quickly but Fairly
  28 Oct 2022—Tom Armitage & Mahmoud Oshagh

• Moving from buckets to vectors: How to use Machine Learning to quantify how similar vehicles are to each other
  17 Feb 2021—Thomas Armitage

• View from across the data lake: Developing the mileage indicator using our self-service Data Platform
  12 May 2020—Simon Dudley

• Using Machine Learning to estimate how attractive adverts are to car buyers
  20 Sep 2019—Jenny Burrow, Angelos Georgiadis and Antreas Kouroupides

• Cultural Learnings of Data Academy for Make Benefit Glorious Company of Auto Trader: or how we're promoting data literacy.
  11 Mar 2019—Angelos Georgiadis, Jim Stamp (and Borat)

• How buyers are affected by an AI-driven product: Price Indicator
  06 Mar 2019—Angelos Georgiadis, Jim Stamp

• How we used Databricks notebooks, MLeap and Kubernetes to productionize Spark ML faster
  03 Oct 2018—Edward Kent

Marketing

• Creating an enriched view of the consumer
  09 Jan 2024—Steven Morrow

• Navigating Turbulence with our Landing Page Performance Model
  17 Nov 2023—Catherine Wates

Mobile

• Migrating to Kotlin—what to look out for
  21 Feb 2020—John Butterworth

Mocha

• Reliable tracking: Validating Snowplow events using Cypress & Snowplow Micro
  09 Apr 2021—Dru Chavda

MongoDB

• Data Modelling for MongoDB
  02 May 2017—Alex Brown

• Investigating Query Performance in MongoDB
  01 May 2017—Alex Brown

Monitoring

• Using AWS Lambdas for data lake monitoring
  26 Mar 2018—Ed Kent, Seema Anwer, Sien Figoureux, Sam Wedge, Paul Doran

• Monitorama Portland Conference
  20 Jun 2017—Mark Crossfield

Monte Carlo

• How Auto Trader ensures end-to-end data trust at scale
  30 Nov 2021—Bethanie Garfin, Richard Wilmer

Natural Language Analysis

• Moving from buckets to vectors: How to use Machine Learning to quantify how similar vehicles are to each other
  17 Feb 2021—Thomas Armitage

• Text Mining Our Dealer Reviews
  10 Oct 2017—Amy O' Leary, Karim Essawi

• Using syntax trees for text mining
  30 Mar 2017—Amy O' Leary, Thomas Inman, Tom Collingburn

• Text mining our customer calls
  29 Mar 2017—Amy O' Leary, Thomas Inman, Tom Collingburn

NodeJS

• Stubbr - a NodeJS HTTP stubbing server
  16 Dec 2015—Craig Shipton

Open Source

• Dry running our data warehouse using BigQuery and dbt
  06 Apr 2022—Connor Charles

• Adding GitHub Organisation Webhook Support to GoCD
  29 Aug 2017—Stephen Murby

• Configurable custom dimensions for AngularJS apps
  08 Jan 2016—Thomas Inman

Pager Duty

• Keeping the engine running efficiently event—March 7th
  18 Feb 2019—Dave Whyte

Performance

• Building a Fast Search Experience
  27 Oct 2017—Elliot Sumner

• How we halved page load times using Tree Shaking and Ahead Of Time Compilation
  24 Jul 2017—Mike Smith

Postmortem

• Postmortem on the application outage on Fri 26th May
  16 Jun 2017—Dave Whyte

Productivity

• How we use Architectural Decision Records (ADRs) on Data Engineering
  20 Mar 2019—Paul Doran

• Meeting Smells and How To Avoid Them
  22 Aug 2017—Amy O' Leary

REST

• Projection Search: Review of Persistence Technologies
  02 Nov 2018—Neil McLaughlin

• Projection Search: Introduction
  19 Sep 2018—Neil McLaughlin

• Stubbr - a NodeJS HTTP stubbing server
  16 Dec 2015—Craig Shipton

React

• The Case For CSS-in-JS
  23 Jul 2020—Stephen Fairbanks

• ReactRiot!
  06 Jul 2017—Nick Baker

Reactive

• Things I learned when building an API gateway with reactive Spring
  15 Mar 2023—Fraser Chapman

Recommendation Engine

• Recommendation Engine Hack
  15 Jan 2017—Amy O' Leary

Release Management

• Keeping the engine running efficiently event—March 7th
  18 Feb 2019—Dave Whyte

Research

• AT Design Talks
  09 Aug 2021—Andrew Woodhouse

Reviews

• Text Mining Our Dealer Reviews
  10 Oct 2017—Amy O' Leary, Karim Essawi

SSO

• Single Sign-On and Basic Auth with Spring Security
  25 Jun 2021—Simon Dudley

Search

• Using Machine Learning to estimate how attractive adverts are to car buyers
  20 Sep 2019—Jenny Burrow, Angelos Georgiadis and Antreas Kouroupides

• Projection Search: Review of Persistence Technologies
  02 Nov 2018—Neil McLaughlin

• Projection Search: Introduction
  19 Sep 2018—Neil McLaughlin

Security

• Protecting users against CSRF in My Account
  23 Apr 2021—Barry Edwards

• How we secured our payment pages using a Content Security Policy
  15 Apr 2019—Paul Wragg

• Let's Encrypt at Scale
  04 Sep 2018—Lee Goodman

Shippr

• Data Modelling for MongoDB
  02 May 2017—Alex Brown

• Investigating Query Performance in MongoDB
  01 May 2017—Alex Brown

Snowplow

• Improving confidence in our tracking with auto-generated Snowplow types
  05 Apr 2024—Bethanie Garfin

• Creating an enriched view of the consumer
  09 Jan 2024—Steven Morrow

• Navigating Turbulence with our Landing Page Performance Model
  17 Nov 2023—Catherine Wates

• Reliable tracking: Validating Snowplow events using Cypress & Snowplow Micro
  09 Apr 2021—Dru Chavda

Snowplow Micro

• Reliable tracking: Validating Snowplow events using Cypress & Snowplow Micro
  09 Apr 2021—Dru Chavda

Spark

• View from across the data lake: Developing the mileage indicator using our self-service Data Platform
  12 May 2020—Simon Dudley

• Data Universe event videos
  14 Dec 2018—Elly Linnegar

• Lessons from the data lake, part 1: Architectural decisions
  21 Nov 2018—Paul Doran, Sien Figoureux, Joe Mulvey, David Whittingham

• Delve into our data universe event—November 21st
  12 Nov 2018—Elly Linnegar

• How we used Databricks notebooks, MLeap and Kubernetes to productionize Spark ML faster
  03 Oct 2018—Edward Kent

• Sending Spark logs to ELK using logstash-gelf
  10 Sep 2018—Karim Essawi

Spring

• Single Sign-On and Basic Auth with Spring Security
  25 Jun 2021—Simon Dudley

Spring Boot

• Single Sign-On and Basic Auth with Spring Security
  25 Jun 2021—Simon Dudley

Spring Cloud Gateway

• Things I learned when building an API gateway with reactive Spring
  15 Mar 2023—Fraser Chapman

Spring Security

• Single Sign-On and Basic Auth with Spring Security
  25 Jun 2021—Simon Dudley

Streaming

• Real-Time Personalisation of Search Results with Auto Trader's Customer Data Platform
  23 Nov 2022—Connor Charles, Andrew Crosby, Jason Motee, Michael Reppion, Olivia Pennington

Tech Talk

• Keeping the engine running efficiently event—March 7th
  18 Feb 2019—Dave Whyte

• Data Universe event videos
  14 Dec 2018—Elly Linnegar

• Delve into our data universe event—November 21st
  12 Nov 2018—Elly Linnegar

Testing

• Dry running our data warehouse using BigQuery and dbt
  06 Apr 2022—Connor Charles

• Reliable tracking: Validating Snowplow events using Cypress & Snowplow Micro
  09 Apr 2021—Dru Chavda

• Using AssertJ
  11 Apr 2017—Nick Baker & Paul Doran

• Stubbr - a NodeJS HTTP stubbing server
  16 Dec 2015—Craig Shipton

Tracking

• Improving confidence in our tracking with auto-generated Snowplow types
  05 Apr 2024—Bethanie Garfin

• Reliable tracking: Validating Snowplow events using Cypress & Snowplow Micro
  09 Apr 2021—Dru Chavda

dbt

• Dry running our data warehouse using BigQuery and dbt
  06 Apr 2022—Connor Charles