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Category: Mechanical Engineering

New research reveals possible applications of nickel, from data storage to biosensors — ScienceDaily

When scientists and engineers discover new ways to optimize existing materials, it paves the way for innovations that make everything from our phones and computers to our medical equipment smaller, faster, and more efficient. According to research published today by Nature Journal NPG Asia Materials, a group of researchers — led by Edwin Fohtung, an associate professor of materials science and engineering at Rensselaer Polytechnic Institute — have found a new way to optimize nickel by unlocking properties that could…

Simplifying web deploys – Pinterest Engineering Blog

Raúl Gutiérrez Segalés, Site Reliability Engineer, InfrastructureRon Viscuso, Software Engineer, Core ProductYongwen Xu, Software Engineer, Infrastructure Over the past six months, Pinterest has moved to a CI/CD model for our API and web layers, which has truly improved agility by reducing time between merge and production. Prior to the update, we had been deploying our web code in the same way for years, and it began showing its age. That mechanism is internally called A/B deploys and externally it’s referred…

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…

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…

Making LinkedIn Media More Inclusive with Alternative Text Descriptions

Co-authors: Vipin Gupta, Ananth Sankar and Jyotsna Thapliyal As part of our vision to provide economic opportunity for every member of the global workforce, LinkedIn creates a unique environment for members to network, learn, share knowledge, and find jobs. In many ways, the LinkedIn feed has become the core of this effort as the preeminent way to share information and participate in conversations on our site. Alongside text, rich media has become an important component of the feed as well.…

Building a Better Big Data Architecture: Meet Uber’s Presto Team

Uber’s daily operations generate data, such as the number of trip requests or food orders at any given time, that can show us how and where to improve our services. However, this information is only truly useful if we can retrieve it when we need it. Lacking access to our business data would be like having a large tank of water without any faucets. To give our internal analysts insights to improve our operations, we needed to find the right…

How LinkedIn customizes Apache Kafka for 7 trillion messages per day

LinkedIn’s development workflow The most important question to answer here is whether to choose the Upstream First route or LinkedIn First route (shown as “Commit to upstream first?” in the flowchart). Based on the urgency of the patch, the author should carefully assess the tradeoffs of both approaches. Typically, patches addressing production issues are committed as hotfixes first, unless they can be committed to upstream quickly (like within a week) and are small enough to be cherry-picked immediately. Feature patches…

How Cloudflare Thinks About Security

Image courtesy of Unbabel This is the text I used for a talk at artificial intelligence powered translation platform, Unbabel, in Lisbon on September 25, 2019. Bom dia. Eu sou John Graham-Cumming o CTO do Cloudflare. E agora eu vou falar em inglês. Thanks for inviting me to talk about Cloudflare and how we think about security. I’m about to move to Portugal permanently so I hope I’ll be able to do this talk in Portuguese in a few months.…

Searchable Ground Truth: Querying Uncommon Scenarios in Self-Driving Car Development

At Uber ATG, developing a safe self-driving car system not only means training it on the typical traffic scenarios we see every day, but also the edge cases, those more difficult and rare situations that would even flummox a human driver. To make sure we aren’t just training our system exclusively on the most common traffic scenarios, we developed a search engine that lets our engineers look for those rarer instances among terabytes of historical sensor data.  An important component…