Right now, more than 10 million people use notebooks like Jupyter in their workflow. Notebooks are open-source tools for creating and sharing documents with live code, equations, visualizations and explanatory text. Notebooks like Jupyter have exploded in popularity the past 5 years to become the standard tool for data science teams. They became especially important

Email has become such a routine feature of knowledge work that we often take it- and the email clients we use for it- for granted. While advancements such as intelligent spam filtering have improved the experience, many email clients retain the same basic structure and offer a largely similar experience. Superhuman is building a modern

Studies show that people in “maker” professions such as developers and writers are most productive when they can carve out dedicated time for focused work, without the frequent context-switching that comes with an irregular meeting schedule. Meetings and other non-development work are necessary parts of the job, but a team will be much more productive

A “co-location” center is a data center that leases out networking and compute infrastructure to retail clients. Co-location centers host clients with a wide variety of infrastructure strategies, from small retail customers, to medium-size teams running hybrid cloud models, to large corporate clients who prefer not to incur the capital cost of building their own

Over the past few years, the conventional wisdom around the value proposition of Big Data has begun to shift. While the prevailing attitude towards Big Data may once have been “bigger is better,” many organizations today recognize that broad-scale data collection comes with its own set of risks. Data privacy is becoming a hotly debated

A data-driven organization collects a wide variety of data to help in strategic decision-making. The cost of storing large amounts and variety of data has dropped dramatically in the last two decades, but too much unstructured data may not improve decision-making, and can even lead to “analysis paralysis.” Organizations react by extracting the most important,

Video calling over the internet has experienced explosive growth in the last decade. In 2010, surveys estimated that around 1 in 5 Americans had tried online video calling for any reason. By May of 2020, that number had nearly tripled. A significant factor in the growth of video calling has been an open-source project called

In a distributed application, observability is key to handling incidents and building better, more stable software. Legacy monitoring methods were built to respond to predictable failure modes, and to aggregate high-level data like access speed, connectivity, and downtime. Observability, on the other hand, is a measure of how well you can infer the internal state

Kafka has achieved widespread popularity as a popular distributed queue and event streaming platform, with enterprise adoption and a billion dollar company (Confluent) built around it. But could there be value in building a new platform from scratch? Redpanda is a streaming platform built to be compatible with Kafka, that does not require the JVM

GraphQL has changed the common design patterns for the interface between backend and frontend. This is usually achieved by the presence of a GraphQL server, which interprets and federates a query from the frontend to the backend server infrastructure. Dgraph is a distributed graph database with native GraphQL support. Manish Jain is a founder of