Software Engineering Daily

Uber needs to visualize data on a range of different surfaces. A smartphone user sees cars moving around on a map as they wait for their ride to arrive. Data scientists and operations researchers within Uber study the renderings of traffic moving throughout a city. Data visualization is core to Uber, and the company has

A frontend developer issuing a query to a backend server typically requires the developer to issue that query through an ORM or a raw database query. Prisma is an alternative to both of these data access patterns, allowing for easier database access through auto-generated, type-safe query building tailored to an existing database schema. By integrating

Machine learning workflows have had a problem for a long time: taking a model from the prototyping step and putting it into production is not an easy task. A data scientist who is developing a model is often working with different tools, or a smaller data set, or different hardware than the environment which that

Many data sources produce new data points at a very high rate. With so much data, the issue of data quality emerges. Low quality data can degrade the accuracy of machine learning models that are built around those data sources. Ideally, we would have completely clean data sources, but that’s not very realistic. One alternative

Server infrastructure traditionally consists of monolithic servers containing all of the necessary hardware to run a computer. These different hardware components are located next to each other, and do not need to communicate over a network boundary to connect the CPU and memory. LegoOS is a model for disaggregated, network-attached hardware. LegoOS disseminates the traditional

Every software company is a distributed system, and distributed systems fail in unexpected ways.  This ever-present tendency for systems to fail has led to the rise of failure testing, otherwise known as chaos engineering. Chaos engineering involves the deliberate failure of subsystems within an overall system to ensure that the system itself can be resilient

Brex is a credit card company that provides credit to startups, mostly companies which have raised money. Brex processes millions of transactions, and uses the data from those transactions to assess creditworthiness, prevent fraud, and surface insights for the users of their cards. Brex is full of interesting engineering problems. The high volume of transactions

Devices on the edge are becoming more useful with improvements in the machine learning ecosystem. TensorFlow Lite allows machine learning models to run on microcontrollers and other devices with only kilobytes of memory. Microcontrollers are very low-cost, tiny computational devices. They are cheap, and they are everywhere. The low-energy embedded systems community and the machine

For the last five months, we have been working on a new version of Software Daily, the platform we built to host and present our content.  We are creating a platform that integrates the podcast with a set of other features that make it easier to learn from the audio interviews.  Software Daily includes the

Over the last 5 years, web development has matured considerably. React has become a standard for frontend component development. GraphQL has seen massive growth in adoption as a data fetching middleware layer. The hosting platforms have expanded beyond AWS and Heroku, to newer environments like Netlify and Vercel. These changes are collectively known as the