News

2019 in Review: 10 AI Papers That Made an Impact

How we 30x’d our Node parallelism

What’s the best way to safely increase parallelism in a production Node service? That’s a question my team needed to answer a couple of months ago. We were running 4,000 Node containers (or ‘workers’) for our bank integration service.

Serving 100µs reads with 100% availability

This is the story of how we built ctlstore, a distributed multi-tenant data store that features effectively infinite read scalability, serves queries in 100µs, and can withstand the failure of any component. Highly-reliable systems need highly-reliable data sources. Segment’s stream processing pipeline is no different.

From 15,000 database connections to under 100: DigitalOcean’s tale of tech debt

Boeing’s Starliner won’t make it to the ISS now because its internal clock went wrong

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