Causal Forecasting at Lyft (Part 1)

By Duane Rich and Sameer Manek | Continue reading


@eng.lyft.com | 1 year ago

Full-Spectrum ML Model Monitoring at Lyft

Machine Learning models at Lyft make millions of high stakes decisions per day: from physical safety classification to fraud detection to… | Continue reading


@eng.lyft.com | 1 year ago

Challenges in Experimentation

In this post, we provide an overview of capabilities we have deployed and a preview of our plans for the future. | Continue reading


@eng.lyft.com | 2 years ago

Data Pipelines at Lyft

We will focus on comparing Airflow and Flyte implementations at Lyft: dive into the architecture and summarize its benefits and drawbacks | Continue reading


@eng.lyft.com | 2 years ago

Orchestrating Data Pipelines at Lyft: Comparing Flyte and Airflow

We will focus on comparing Airflow and Flyte implementations at Lyft: dive into the architecture and summarize its benefits and drawbacks | Continue reading


@eng.lyft.com | 2 years ago

Optimizing for Fast Local Development

This is the second post in the series on how we scaled our development practices at Lyft in the face of an ever-increasing number of… | Continue reading


@eng.lyft.com | 2 years ago

Optimizing for fast local development at Lyft

This is the second post in the series on how we scaled our development practices at Lyft in the face of an ever-increasing number of… | Continue reading


@eng.lyft.com | 2 years ago

Scaling productivity on microservices at Lyft (Part 1)

Late in 2018, Lyft engineering completed decomposing our original PHP monolith into a collection of Python and Go microservices. A few… | Continue reading


@eng.lyft.com | 2 years ago

Parameter Exploration at Lyft

What is Parameter Exploration | Continue reading


@eng.lyft.com | 2 years ago

Scaling Productivity on Microservices at Lyft

Late in 2018, Lyft engineering completed decomposing our original PHP monolith into a collection of Python and Go microservices. A few… | Continue reading


@eng.lyft.com | 2 years ago

Lyft uses client-side map data to improve real time positioning

How Lyft improves on device location tracking with map data | Continue reading


@eng.lyft.com | 2 years ago

Chaos Experimentation, an open-source framework built on top of Envoy Proxy

Services are bound to degrade. It’s a matter of if, not when. In a distributed system where there are many interdependent microservices, it… | Continue reading


@eng.lyft.com | 2 years ago

LyftLearn: ML Model Training Infrastructure Built on Kubernetes

Authors: Vinay Kakade, Shiraz Zaman | Continue reading


@eng.lyft.com | 2 years ago

Lyft: Flyte Joins LF AI and Data

A little over a year ago on January 7th, 2020 Lyft open sourced and announced Flyte — its core platform for orchestrating Machine Learning… | Continue reading


@eng.lyft.com | 3 years ago

The Mobile Native Foundation

Today, we’re excited to launch the Mobile Native Foundation. Backed by The Linux Foundation, along with Airbnb, Corellium, Elotl… | Continue reading


@eng.lyft.com | 3 years ago

Elasticsearch Optimizations at Lyft

By Stefan Zier and Vinay Kakade | Continue reading


@eng.lyft.com | 3 years ago

OpenStreetMap proven to be a highly accurate map in top US cities

Mark Huberty & Clare Corthell, Lyft Mapping | Continue reading


@eng.lyft.com | 3 years ago

Pulse: Envoy Mobile’s Stats Library

Early this year, we published a deep dive after the v0.2 release of Envoy Mobile. A lot has happened since then: Envoy Mobile is now… | Continue reading


@eng.lyft.com | 3 years ago

How Lyft Is Migrating 100 Front End Microservices to Next.js

By Josh Callender and Andrew Hao | Continue reading


@eng.lyft.com | 3 years ago

Building a Gateway to Flyte

At the beginning of the year we introduced Flyte: a cloud native, hosted platform for running machine learning and data processing… | Continue reading


@eng.lyft.com | 3 years ago

IAM whatever you say IAM

This post was co-authored with Andrew Johnson (@SecPrez). | Continue reading


@eng.lyft.com | 3 years ago

A New Real-Time Map-Matching Algorithm at Lyft

By Marie Douriez, James Murphy, Kerrick Staley | Continue reading


@eng.lyft.com | 3 years ago

We learned to improve Kubernetes CronJobs at Scale (Part 1 of 2)

Deep dive into the inner-workings of CronJob and the problems we encountered running them at scale | Continue reading


@eng.lyft.com | 3 years ago

Clutch, the Open-Source Platform for Infrastructure Tooling

By Daniel Hochman and Derek Schaller | Continue reading


@eng.lyft.com | 3 years ago

How to Build a Diversity and Inclusion Program That Lasts

By Sarah Morse, Prachi Sharma, and Josh Cherry | Continue reading


@eng.lyft.com | 3 years ago

Lyft Engineering En Español

Two of Lyft’s core values are “Be Yourself” and “Uplift Others.” Many of us, members of the tech organization at Lyft, pride ourselves in… | Continue reading


@eng.lyft.com | 4 years ago

Building a Design Systems Library with Figma and Scripter

Over the past few months, I’ve been helping Lyft build the initial version of our Figma design systems library with scripts… | Continue reading


@eng.lyft.com | 4 years ago

Scaling Driver Compliance Across Lyft

A passenger opens the app, requests a ride, and just a few minutes later there is a car with a friendly driver in front of them. They may… | Continue reading


@eng.lyft.com | 4 years ago

Envoy Mobile v0.2 deep dive

In November we released Envoy Mobile v0.2. In the accompanying blog post we detailed the features that the library supported and announced… | Continue reading


@eng.lyft.com | 4 years ago

Flyte: A Cloud Native Machine Learning and Data Processing Platform

Today Lyft is excited to announce the open sourcing of Flyte, a structured programming and distributed processing platform for highly… | Continue reading


@eng.lyft.com | 4 years ago

Beyond L2 Loss – How We Experiment with Loss Functions

Estimating expected time of arrival (ETA) is crucial to what we do at Lyft. Estimates go directly to riders and drivers using our apps, as… | Continue reading


@eng.lyft.com | 4 years ago

Sensor Data in Locations: Wi-Fi

By Yunjie Zhao, James Murphy, Yuanyuan Malek, Kyle Madsen, Joe LaBarbera, Chris Woo | Continue reading


@eng.lyft.com | 4 years ago

Detecting Stop Signs and Traffic Signals: Deep Learning at Lyft Mapping

By Deeksha Goyal, Albert Yuen, Han Kim, and James Murphy | Continue reading


@eng.lyft.com | 4 years ago

Open Sourcing Amundsen: A Data Discovery and Metadata Platform

By Tao Feng, Jin Hyuk Chang, Tamika Tannis, Daniel Won | Continue reading


@eng.lyft.com | 4 years ago

Securing Apache Airflow UI with DAG Level Access

By Tao Feng and Andrew Stahlman | Continue reading


@eng.lyft.com | 4 years ago

Lyft Designs the Machine Learning Software Engineering Interview

Iterations on revealing recurring patterns of thought, feeling, and behavior | Continue reading


@eng.lyft.com | 4 years ago

Operating Apache Kafka Clusters 24/7 Without a Global Ops Team

Earlier this year, the Streaming PubSub team at Lyft got multiple Apache Kafka clusters ready to take on load that required 24/7 support… | Continue reading


@eng.lyft.com | 4 years ago

Making long term forecasts at Lyft

Authors: Hamed Hasheminia, Arman Jabbari, and Varun Madduri | Continue reading


@eng.lyft.com | 4 years ago

Lyft Creates Hyper-Accurate Maps from Open-Source Maps and Real-Time Data

Albert Yuen, James Murphy, Sumanth Ravipathi, Deeksha Goyal, Han Kim, Adithya Hemakumar, Alex Ung, Clare Corthell | Continue reading


@eng.lyft.com | 4 years ago

How to solve a linear optimization problem on incentive allocation?

At Lyft, scientists solve all kinds of optimization problems. While solvers can come in handy, there are times when complicated or… | Continue reading


@eng.lyft.com | 4 years ago

Presto Infrastructure at Lyft

Puneet Jaiswal | SWE, Data Infra | Continue reading


@eng.lyft.com | 4 years ago

Building Lyft’s Marketing Automation Platform

Machine learning based marketing automation to improve cost and volume efficiency in an ever-changing marketplace. | Continue reading


@eng.lyft.com | 4 years ago

How to grow new user sign-ups on Android

In this article you will learn how Lyft managed to grow new user sign-ups on Android. I’ll walk you through various new-user acquisition… | Continue reading


@eng.lyft.com | 4 years ago

Move Thoughtfully and Don’t Be Afraid to Change Things

Rebuilding our Support Tech architecture at Lyft | Continue reading


@eng.lyft.com | 4 years ago

Announcing Envoy Mobile

Today we are thrilled to announce the initial OSS preview release of Envoy Mobile, an iOS and Android client network library that brings… | Continue reading


@eng.lyft.com | 4 years ago

Running Apache Airflow at Lyft

By Tao Feng, Andrew Stahlman, and Junda Yang | Continue reading


@eng.lyft.com | 5 years ago

Meet Andrew, the PM Behind Lyft’s Recent Transit Launch

Lyft recently announced the launch of Nearby Transit in Santa Monica! This launch includes public transit information in the main app for… | Continue reading


@eng.lyft.com | 5 years ago

The Challenges Behind Rolling Out Security Updates to Your Docker Images

Earlier this year I announced an open source project that helps engineers automatically and safely push security updates to all of their… | Continue reading


@eng.lyft.com | 5 years ago