The Importance of Canary Testing to Ensure Feature Correctness

August 23, 2022 by ,

Learn how Tecton’s canary process was designed to keep Tecton’s feature platform reliable, stable, and scalable.

Engineering

Scaling Tecton’s Engineering team

February 2, 2022 by

2021 was a big year for Tecton! Our mission is to bring ML intelligence to every production application, which starts with the world’s best enterprise feature store to power machine learning. We made huge strides towards this mission:​​ …

Engineering

Maintaining Feature Pipelines With Automated Resolution of Compute Failures

December 9, 2021 by

Customers rely on Tecton for providing uninterrupted access to their machine learning features. Tecton orchestrates and manages the data pipelines that compute these features, insulating the end user from their complexity. However, the pipelines run …

Engineering

Tecton’s Security and Compliance Journey to SOC 2 Type 2

October 26, 2021 by

Tecton is SOC 2 Type 2 compliant (but that’s not what this post is about) If you search for “SOC 2 Type 2 announcement” you’ll find troves of blog posts from companies of all sizes, so that’s not what this blog post is …

EngineeringAnnouncements

My observations since joining Tecton as VP of Engineering

October 12, 2021 by

I joined Tecton 4 months ago and would like to share my impressions while they are still fresh! I have spent almost 2 decades in various startups. In seven of them I was Director of Engineering and later VPE in quickly growing startups such as …

EngineeringCompany Culture

Real-Time Aggregation Features for Machine Learning (Part 2)

June 2, 2021 by , ,

In the following sections, we describe an approach to solving these challenges that we’ve proven out at scale at Tecton, and that has been used successfully in production at Airbnb and Uber for several years. The discussed approach explains …

TutorialsEngineering

Real-Time Aggregation Features for Machine Learning (Part 1)

June 2, 2021 by , ,

Machine Learning features are derived from an organization’s raw data and provide a signal to an ML model. A very common type of feature transformation is a rolling time window aggregation. For example, you may use the rolling 30-minute order count …

TutorialsEngineering

How Machine Learning Teams Share and Reuse Features

March 29, 2021 by

What does an “ML-enabled” company look like? The companies that come to mind, like Uber, Twitter, or Google, have tens of thousands of machine learning (ML) models in production. They use these models to make intelligent predictions across the …

Engineering