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Making the LinkedIn experimentation engine 20x faster

At LinkedIn, we like to say that experimentation is in our blood because no production release at the company happens without experimentation; by “experimentation,” we typically mean “A/B testing.” The company relies on employees to make decisions by analyzing data. Experimentation is a data-driven foundation of the decision-making process, which helps with measuring the precise impact of every change and release, and evaluating whether expectations meet reality.

2020 Cloud Report

Read the 2020 Cloud Report from Cockroach Labs, and learn which cloud platform performs best for transactional workloads across TPC-C, Network Throughput, CPU, and Storage benchmarks. If there’s one thing we’ve learned in our three years of benchmarking cloud providers on transactional workloads, it’s this: the results change often. Last year’s report showed AWS dramatically outperforming GCP across TPC-C performance, CPU, Network, and even cost.

Scaling Beyond a Billion Transactions Per Day with Sub-second Responses

How the U.S. Air Force Deployed Kubernetes and Istio on an F-16 in 45 days

Why databases use ordered indexes but programming uses hash tables

How the Internet Spans the Globe

Undersea cables are responsible for moving data between countries and continents at high speeds, making everything from photo sharing to financial transactions possible. These cables use fiber optics to move data at high speeds to land, where the data is then conveyed via fiber optics to homes and businesses. Yet, despite the billions of people relying on the data moved by undersea cables, there are only about 380 of them worldwide as of 2019, according to CNN estimates, though they span more than 745,000 miles—or more than three times the distance to the moon.

How to verify that quantum chips are computing correctly

A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle. Researchers from MIT, Google, and elsewhere have designed a protocol called Variational Quantum Unsampling, based on a novel quantum neural network, that verifies when photonic Noisy Intermediate Scale Quantum (NISQ) chips have accurately performed complex computations using light.

Lyft’s Journey through Mobile Networking

In 5 years, the number of endpoints consumed by Lyft’s mobile apps grew to over 500, and the size of our mobile engineering team increased by more than 15x. To scale with this growth, our infrastructure had to evolve dramatically to utilize new advances in modern networking in order to continue to provide benefits for our users. This post describes the journey through the evolution of Lyft’s mobile networking: how it’s changed, what we’ve learned, and why it’s important for us as a growing business.

How we built the good first issues feature

We’ve recently launched good first issues recommendations to help new contributors find easy gateways into open source projects. Read about the machine learning engine behind these recommendations. GitHub is leveraging machine learning (ML) to help more people contribute to open source.