Why Plotly and Dash are useful for real-time applications If you’re working with large amounts of data, efficiently storing raw information will be your first obstacle. The next challenge is to make sense of the data utilizing analytics. One of the fastest ways to convey the state of data is through charts and graphs. In this tutorial, we will…

Telegraf is a plugin-driven server agent for collecting, processing, aggregating, and writing metrics. With more than 200 plugins, it can collect almost any kind of data about the server it is running on, application data or even filesystem changes. Although Telegraf can collect an exceptional amount and variety of data…

In the world of big data, software developers and data analysts often have to write scripts or complex software collections to process data before sending it to a data store for further analysis. This process is commonly called ETL, which stands for Extract, Transform and Load. What could we use ETL jobs for? Let’s consider the following…

Highly available services that serve millions of requests rely on the visibility of the system status for customers and internal teams. This tutorial shows how a lightweight and performant time-series database coupled with queued status checks and a simple UI are key ingredients for robust application monitoring. Why build a status page for an application? Even if we…

If you have ever developed microservices, you already know some of the challenges around it. If it’s done right, development can speed up, the cognitive complexity of the services can be decreased, and there are many many more advantages over monoliths. On the other hand, you have to solve different…