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Author: engineering

Evolving Michelangelo Model Representation for Flexibility at Scale

Michelangelo, Uber’s machine learning (ML) platform, supports the training and serving of thousands of models in production across the company. Designed to cover the end-to-end ML workflow, the system currently supports classical machine learning, time series forecasting, and deep learning models that span a myriad of use cases ranging from generating marketplace forecasts, responding to customer support tickets, to calculating accurate estimated times of arrival (ETAs) and powering our One-Click Chat feature using natural language processing (NLP) models on the…

How Dropbox Security builds tools for threat detection and incident response

The Dropbox Detection and Response Team (DART) detects and mitigates information security threats to our employees, infrastructure, and customer data. DART ingests security-relevant logs for building detection, threat hunting and responding to potential incidents. Our log volume is huge, averaging tens of terabytes a day. DART’s alerting and response pipeline uses Python and Jupyter notebooks to create new tools. The problem we’re solving Apart from building detections to track suspicious behavior and triaging incidents, we also spend large chunks of…

How Netflix microservices tackle dataset pub-sub – Netflix TechBlog

By Ammar Khaku In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. These datasets can represent anything from service configuration to the results of a batch job, are often needed in-memory to optimize access and must be updated as they change over time. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests. These tests span multiple services…

Systems @Scale 2019 recap – Facebook Engineering

Building and operating systems that serve billions of people can present unprecedented and complex engineering challenges. The second Systems @Scale event of 2019 was held in New York, where engineers gathered for a day of technical talks focused on observability: tools, techniques, and approaches that can be applied to observing the state of complex distributed systems. Speakers from various companies, including Etsy, Facebook, Google, LightStep, Squarespace, and Uber, discussed a wide spectrum of topics, from the concept of deep systems…

A Data Synchronization and Enrichment Platform

Part I: Overview Andreas Andreakis, Falguni Jhaveri, Ioannis Papapanagiotou, Mark Cho, Poorna Reddy, Tongliang Liu It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), providing advanced search capabilities (ElasticSearch etc.), caching (Memcached etc.), and more. Typically when using multiple datastores, one of them acts as the primary store, and the others as derived stores. Now the challenge becomes…

The New Frontier in Global Relations: Cyberspace

Jason Martin, BA ’97, is acting director of the Cyber Development Directorate for the Defense Information Systems Agency. A Mizzou alumnus whose agency is responsible for building out cyber defense capabilities for the U.S. Department of Defense (DoD) says wars of the future will start in cyberspace. Jason Martin, BA ’97, is acting director of the Cyber Development Directorate for the Defense Information Systems Agency (DISA) at Fort Meade, Maryland and the vice director of the Development and Business Center…

Modified multi-layered bismuth superconductor for higher critical temperatures — ScienceDaily

Scientists from Tokyo Metropolitan University have created a new layered superconducting material with a conducting layer made of bismuth, silver, tin, sulfur and selenium. The conducting layer features four distinct sublayers; by introducing more elements, they were able to achieve unparalleled customizability and a higher “critical temperature” below which superconductivity is observed, a key objective of superconductor research. Their design strategy may be applied to engineer new and improved superconducting materials. Once an academic curiosity, superconductors are now at the…

It’s crowded in here!

We recently gave a presentation on Programming socket lookup with BPF at the Linux Plumbers Conference 2019 in Lisbon, Portugal. This blog post is a recap of the problem statement and proposed solution we presented. CC0 Public Domain, PxHere Our edge servers are crowded. We run more than a dozen public facing services, leaving aside the all internal ones that do the work behind the scenes. Quick Quiz #1: How many can you name? We blogged about them! Jump to…

What’s it like to come out as LGBTQIA+ at work?

Today is the 31st Anniversary of National Coming Out Day. I wanted to highlight the importance of this day, share coming out resources, and publish some stories of what it’s like to come out in the workplace. About National Coming Out Day Thirty-one years ago, on the anniversary of the National March on Washington for Lesbian and Gay Rights, we first observed National Coming Out Day as a reminder that one of our most basic tools is the power of…

Hydrologic simulation models that inform policy decisions are difficult to interpret — ScienceDaily

Hydrologic models that simulate and predict water flow are used to estimate how natural systems respond to different scenarios such as changes in climate, land use, and soil management. The output from these models can inform policy and regulatory decisions regarding water and land management practices. Numerical models have become increasingly easy to employ with advances in computer technology and software with graphical user interface (GUI). While these technologies make the models more accessible, problems can arise if they are…