Software Engineering Daily

Running applications in containerized environments involves regularly organizing, adding and replacing containers. This complex job may involve managing clusters of containers in different geographic locations with different configuration requirements. Platforms like Kubernetes are great for managing this complexity, but include steep learning curves to efficiently get anything off the ground. The company Portainer provides a

Apache Superset is an open-source, fast, lightweight and modern data exploration and visualization platform. It can connect to any SQL based data source through SQLAlchemy at petabyte scale. Its architecture is highly scalable and it ships with a wide array of visualizations. The company Preset provides a powerful, easy to use data exploration and visualization

Application Programming Interfaces (APIs) are interfaces that enable multiple software applications to send and retrieve data from one another. They are commonly used for retrieving, saving, editing, or deleting data from databases, transmitting data between apps, and embedding third-party services into apps. The company BaseTen helps companies build and deploy machine learning APIs and applications.

The company Skynet Labs provides an open protocol for hosting data and web applications on the decentralized web. Skynet allows for decentralized, censorship-resistant, highly redundant storage and applications that are available around the globe. Developers don’t pay for their application’s storage, can launch apps with access to a user’s data right away, are free from

Columnar databases store and retrieve columns of data rather than rows of data. Each block of data in a columnar database stores up to 3 times as many records as row-based storage. This means you can read data with a third of the power needed in row-based data, among other advantages. The company Altinity is

Apache Spark is a popular open source analytics engine for large-scale data processing. Applications can be written in Java, Scala, Python, R, and SQL. These applications have flexible options to run on like Kubernetes or in the cloud.  The company Data Mechanics is a cloud-native Spark platform for data engineers. It runs continuously optimized Apache

Apache Hudi is an open-source data management framework used to simplify incremental data processing and data pipeline development. This framework more efficiently manages business requirements like data lifecycle and improves data quality. Some common use cases for Hudi is record-level insert, update, and delete, simplified file management and near real-time data access, and simplified CDC

An application programming interface, API for short, is the connector between 2 applications. For example, a user interface that needs user data will call an endpoint, like a special URL, with request parameters and receive the data back if the request is valid. Modern applications rely on APIs to send data back and forth to

The traveling salesman problem is a classic challenge of finding the shortest and most efficient route for a person to take given a list of destinations. This is one of many real-world optimization problems that companies encounter. How should they schedule product distribution, or promote product bundles, or define sales territories? The answers to these

Microservice architecture has become very common over the past few years because of the availability of containers and container orchestrators like Kubernetes. While containers are overall positive for scaling apps and making them more available, they’ve also introduced hurdles like persisting data and state, and container restarts or pod failures. Development teams put significant work