Uber Engineering
@UberEng
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Engineering @Uber , from practice to people. ✨
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New on the blog today:
'I thought it was so cool that you could combine the ideas behind evolution and use them to automatically design complex things that can then impact the real world.' -
@jeffclune
, Senior Research Manager, Uber AI Labs
9
69
956
Designed by
@Uber
's Office of the CTO, the Engineering Sponsorship and Development Program pairs participants with sponsors and provides an opportunity to hone technical leadership skills.
#Mentorship
#DiversityInclusion
#EngineeringLeadership
0
37
671
Out today: Uber
#AI
introduces Ludwig, an
#OpenSource
,
#DeepLearning
toolbox built on top of
@TensorFlow
that allows users to train and test deep learning models without writing code.
Read the article:
Check out the Ludwig repo:
14
255
571
2022 Record Breaking News: Uber’s platform handled a new all time peak of 753K concurrent rides and deliveries 🎉🥳 What a way to close out the year!
64
61
550
Uber
#OpenSource
has released
#H3
, a hexagonal geospatial indexing system for geographic data:
@github
7
135
253
Eager to explore arm64 on servers, but stuck on an infrastructure that assumes one architecture? That’s where Uber was 18 months ago. In this blog post we explain how we bootstrapped arm64 infrastructure using a relatively new toolchain in town: zig cc.
13
39
259
New on our blog today! Members of our engineering team describe how we reduced the code size of Uber’s iOS Rider app by using advanced compiler technologies.
read more:
3
41
176
Architecting our driver app for Android, which needs to run for extended periods of time in the background, involved a unique idea where Activities and Services were not included in the structural foundations.
2
49
172
To determine if it made sense to adopt Kotlin for Uber's
#Android
monorepo, our Mobile Engineering team, in collaboration with
@jetbrains
, measured
#Kotlin
build performance at scale across a variety of project structures.
Read the article:
3
76
155
7
92
148
Out now: Uber
#AI
introduces a new approach for making
#NeuralNetworks
process images faster & more accurately with
#JPEG
representations.
via Lionel Gueguen
@alsrgv
@savvyRL
&
@jasonyo
Check out the research:
#NeurIPS2018
2
43
146
Out today: introducing Manifold, Uber's model-agnostic visual debugging tool for
#MachineLearning
at Uber
Read the article: via
@lezhili
&
@gnavvy
Learn more about Uber's
#DataVisualization
team:
#DataViz
#ML
2
64
137
emilwallner/Screenshot-to-code-in-Keras: A neural network that transforms a screenshot into a static website
2
52
130
Architect of
#keplergl
@heshan_cheri
: 'when you create something truly awesome, you naturally want to get it out to the world so everybody else can use it. Once you
#opensource
it, other people can also contribute'
Article:
Project:
1
39
127
New on our blog today! Members of our engineering team introducing generalized approach to microservice architectures, Domain-Oriented Microservice Architecture (DOMA).
#architecture
read more:
6
49
120
Out today: introducing Fusion.js, Uber's plugin-based, universal
#opensource
web framework that makes it easy to build lightweight, high-performing apps for the
#web
.
Read the article:
Check out the project:
0
62
118
Out today: introducing M3, Uber's
#opensource
, large-scale metrics platform for
#Prometheus
Read the article: via
@roskilli
Check out the repo:
2
75
114
New on our blog today: Plug and Play Language Model, introduced by Uber AI Labs, gives NLP practitioners the flexibility to plug in one or more simple attribute models into a large, unconditional language model.
0
32
108
A Free Oxford Course on Deep Learning: Cutting Edge Lessons in Artificial Intelligence -
@openculture
2
33
103
Announcing the
@UberEng
open source site, w/ some of our best projects on our public Github:
http://t.co/biCfi4xld1
6
86
102
Out today: Uber AI Labs open sources
#Pyro
, a deep probabilistic programming language:
#Python
@PyTorch
#opensource
2
73
99
Take a look into uReplicator,
@UberEng
’s
#opensource
solution for replicating
#ApacheKafka
data in a robust and reliable manner.
1
40
90
New today on the Eng Blog: Marmaray is Uber's newest open source project, allowing data dispersal and ingestion, from and to Apache Hadoop, from and to any data source.
1
49
85
To detect and prevent fraud,
@Uber
brings to bear
#datascience
and
#machinelearning
, analyzing GPS traces and usage patterns to identify suspicious behavior.
4
23
82
Micro Deploy (μDeploy) is our in-house deployment system that builds, upgrades, and rolls back our services.
0
24
83
Uber systems must be fault-tolerant when it comes to failing intelligently, so we leverage Apache Kafka, an open source distributed messaging platform, which has been industry-tested for delivering high performance at scale.
1
26
81
New blog article on deck.gl,
#UberEng
's
#OpenSource
software designed for exploring & visualizing
#data
sets.
0
42
82
Learn Go: Best Go tutorials
1
24
80
We’re excited to announce the 0.2 release of Pyro, our
#opensource
deep probabilistic programming language!
Release Notes:
Repo:
2
37
77
Out today: introducing
#AresDB
, Uber's GPU-powered
#OpenSource
, real-time
#analytics
engine.
Read the article:
Check out the repo:
1
44
81
Out today: how we built AthenaX, Uber Engineering's
#opensource
streaming analytics platform:
#SQL
2
51
79
New video today:
@Uber
Director of Data Science Franziska Bell discusses how we created data science platforms at Uber, letting employees of all technical skills perform forecasts and analyze data.
Watch the full video here:
#DataScience
#WomenInTech
2
12
75
New on our blog today: We built Cyborg, an open source implementation of VectorDrawable for iOS, to more easily implement designs across our apps.
2
31
77
Written in
#Haskell
, Queryparser is our
#opensource
tool that consumes a real-time stream of
#SQL
queries submitted to our data warehouse, analyzes each one, and emits the analysis results to a separate stream.
Article:
Repo:
1
43
75
Our Insurance Engineering team extended Kafka’s role in our existing event-driven architecture by using non-blocking request reprocessing and dead letter queues to achieve decoupled, observable error-handling without disrupting real-time traffic.
0
24
75
Fresh out of the
@UberEng
#OpenSource
oven:
#Horovod
0.13.0 with
@PyTorch
support has been released!
Repo:
Learn more about our distributed deep learning
@TensorFlow
framework Horovod:
1
35
72
Our fraud prevention team built the Mastermind rules engine to detect highly evolved forms of fraud at large scale in a fraction of a second.
2
23
72
.
@Uber
announces the release of the
#opensource
Autonomous Visualization System, a standard for creating a visual environment based on sensor data from autonomous vehicles, with playback available in multiple formats, including web and video.
1
34
74
To detect and prevent fraud we brings to bear data science and machine learning, analyzing GPS traces and usage patterns to identify suspicious behavior.
0
25
73
M3 is an open-source metrics platform for Prometheus, which facilitates scalable and configurable multi-tenant storage for large-scale metrics.
0
22
73
JVM Profiler, an
#OpenSource
distributed profiler, enables the seamless collection of JVM performance and resource usage metrics.
0
23
70
New video today: Zoubin Ghahramani, Head of Uber AI, discusses how we use artificial intelligence techniques to make our platform more efficient for users.
Watch the full video here:
#ArtificialIntelligence
#DataScience
#DeepLearning
3
15
63
Our Insurance Engineering team extended Kafka’s role in our existing event-driven architecture by using non-blocking request reprocessing and dead letter queues (DLQ) to achieve decoupled, observable error-handling without disrupting real-time traffic.
0
20
72
Mark your calendars: Uber Open Summit 2018 is coming this November!
We're excited to announce Uber Open, a one-day summit for developers & community leaders advancing open source collaboration & innovation at scale.
#uberopensummit
@UberEng
Learn more:
2
25
65
Out today! Meet
#Queryparser
, Uber's
#opensource
tool (written in
#Haskell
) for parsing & analyzing
#SQL
queries:
0
36
71
Ludwig is a code-free deep learning toolbox that makes deep learning more accessible to non-experts and enables faster model iteration cycles.
0
22
68
Distributed architecture concepts I learned while building a large payments system -
@GergelyOrosz
0
21
68
Here is an approach for making convolutional neural networks smaller, faster, and more accurate all at the same time by hacking libjpeg and leveraging the internal image representations already used by the JPEG image format.
0
27
67
We introduced a Bayesian neural network architecture that more accurately forecasts time series predictions and uncertainty estimations.
0
28
67
Autonomous Visualization System (AVS) is a fast, powerful, and
#opensource
web-based 3D visualization toolkit for building applications from your autonomous and robotics data.
3
23
66
Uber’s highest queries per second
#microservice
is one that provides geofence lookups. Here’s the story of why we built this service, and how
#Golang
helped us build and scale it so fast.
2
24
67
Our Insurance Engineering team extended Kafka’s role in our existing event-driven architecture by using non-blocking request reprocessing and dead letter queues (DLQ) to achieve decoupled, observable error-handling without disrupting real-time traffic.
0
22
64
Developed by Uber, Kraken is an open source peer-to-peer Docker registry capable of distributing terabytes of data in seconds.
0
20
61
Out today: learn more about
@Uber
data scientist
@SlawekSmyl
's hybrid Exponential Smoothing-Recurrent
#NeuralNetworks
(ES-RNN)
#forecasting
method, winner of the M4 Competition (
@spyrosmakrid
).
Read the full article:
0
29
60
Micro Deploy (μDeploy) is our in-house deployment system that builds, upgrades, and rolls back services.
0
23
63
New on our blog today! Members of our engineering team introducing pprof++, a tool for Go program profiling using Hardware Performance Monitoring
read more:
1
19
63
Our Observability team built a robust, scalable metrics and alerting pipeline to detect, mitigate, and notify engineers of issues as they occur.
2
20
61
H3 is our
#opensource
hierarchical geospatial indexing system that has an easy API for indexing coordinates into a hexagonal, global grid.
1
25
59
Uber
#OpenSource
has released
#H3
, a hexagonal geospatial indexing system for geographic data:
@github
3
29
60
We introduced a Bayesian neural network architecture that more accurately forecasts time series predictions and uncertainty estimations.
1
18
58
Uber Visualization has partnered with
@Mapbox
to enhance our
#datavisualization
tools and grow our
#opensource
community.
0
15
57
Our Observability team built a robust, scalable metrics and alerting pipeline to detect, mitigate, and notify engineers of issues as they occur.
1
10
58
0
29
58
New article today:
@Uber
AI Labs proposes Loss Change Allocation (LCA), a new method that provides a rich window into the neural network training process.
#ArtificialIntelligence
#NeuralNetworks
#ModelPredictions
0
39
59
New on our blog today! Uber built and open sourced Fiber, distributed computing library. To enable users to implement large-scale distributed computation for machine learning applications easily on a computer cluster
#AI
#MachineLearning
#opensource
1
30
59
What was the technical reasoning behind our switch in database technologies, from Postgres to MySQL?
1
16
56
Cadence is our
#opensource
distributed, scalable, durable, and highly available orchestration engine we developed to execute asynchronous long-running business logic in a scalable and resilient way.
0
12
57
Uber Engineering is proud to announce the open sourcing of
#RIBs
, our cross-platform mobile architecture:
#mobiledev
0
33
59
Out now: meet
#Michelangelo
,
#Uber
#Engineering
's scalable
#machinelearning
as-a-service platform:
#ML
#AI
#data
0
43
56
How
#Golang
helped us build and scale our
#microservice
for geofence lookups, which turned out to be our highest queries per second (QPS) service out of the hundreds we run in production.
0
15
49
New on our blog today! The engineering team describe Elastic Deep Learning with Horovod on Ray. How it is bringing common infrastructure and standardization to the production machine learning ecosystem.
@UberOpenSource
#DeepLearning
Read more:
1
24
52
Pyro is our
#opensource
deep probabilistic language, unifying the best of modern
#deeplearning
and Bayesian modeling. Its goal is to accelerate research and applications of these techniques, and to make them more accessible to the broader
#AI
community.
0
19
51
Uber’s Global Data Warehouse team leveraged Apache Hudi to drastically improve performance of traditional batch ETL pipelines by going incremental, improving business-critical data’s freshness, quality, and completeness.
read more:
3
18
53
Uber has embraced Presto, a high performance, distributed SQL query engine, and joined the Presto Foundation. Meet the Uber engineers who contribute to and use Presto on a daily basis.
1
8
53
GraphQL is an open source query language for APIs that can interpret the structure of our data sources and delivers only the information needed to resolve an issue, reducing throughput on our Customer Care Platform.
0
8
52
Uber open sourced JVM Profiler, our distributed profiler, to enable others to seamlessly collect JVM performance and resource usage metrics.
1
20
53
Take a look into uReplicator, an
#opensource
solution for replicating Apache Kafka data in a robust and reliable manner.
1
13
53
Out today: introducing Peloton, Uber's unified resource scheduler for diverse cluster workloads.
Read the article:
#Architecture
#ApacheSpark
0
21
53
Uber's Observability Applications team sought to introduce alert backtesting—the ability to determine if, and when, a given alert configuration would have gone off in the past, thereby making it easier to predict future alerts.
0
13
50