Data engineering involves numerous tools–a data lake, databases, data warehouses, numerous APIs, streaming systems, and microservices. There is no shortage of ways to interact with data and manage data, but many companies are struggling to figure out design patterns and best practices for how to manage data and build data infrastructure. Zhamak Dehgani is a

Software companies such as Slack, Zoom, and Uber have recently gone public. When a company goes public, they issue a document called an S-1. Within the S-1, there is a wealth of information about the company, providing a detailed story about the company’s business model, economics, and future prospects. The S-1 describes the operating model

Envoy is an open source edge and service proxy that was originally developed at Lyft.  Envoy is often deployed as a sidecar application that runs alongside a service and helps that service by providing features such as routing, rate limiting, telemetry, and security policy. Envoy has gained significant traction in the open source community, and

In the developed world, it is easy to take for granted that we grew up with computers. Technology is so pervasive in the United States that we have debates about how early in child development a human should be given a smartphone. Across much of Africa, there is a shortage of access to computers. Children

The Hadoop ecosystem provided every company with the tools to store and query large amounts of data at a low cost. Since 2005, that ecosystem has expanded with more and more open source applications for data infrastructure.  Data infrastructure includes databases, data lakes, distributed queues, data warehouses, query engines, web applications, on-prem software, closed source,

From Africa to India to Asia to South America–computer science and programming are rising in popularity in every emerging market. Each of these markets has regional needs for technology. Just like every culture develops its own food and television, every culture needs different types of applications to run their lives. In Vietnam, the day-to-day life

In 2011, Facebook had begun to focus its efforts on mobile development. Mobile phones did not have access to reliable, high bandwidth connections, and the Facebook engineering team needed to find a solution to improve the request latency between mobile clients and the backend Facebook infrastructure. One source of latency was recursive data fetching. If

Facebook has released open source software projects that have changed the industry. The most impactful projects to date are the React frontend user interface tools: ReactJS and React Native. Before React became popular, there were multiple competing solutions for the dominant frontend JavaScript framework. React became the most prominent because of its invention of JSX,

Facebook generates high volumes of data at a rapid pace. Dhruba Borthakur joined Facebook in 2008 to work on data infrastructure. His early projects at Facebook were around Hadoop, the distributed file system and MapReduce computation platform that laid the foundation for the “big data” movement.  At the time, Facebook was generating as much data

Facebook moves fast because of vision, collaboration, and trust. The fast pace of development is enabled by constantly improving infrastructure and a sense of unity throughout the company.  In Facebook’s early days, there was an emphasis on rapidly deploying new code to drive constant improvement and experimentation.  Product quality was maintained by engineers closely checking