Generators are a powerful feature you can use to automate routine tasks in Rails—but do you know how to make your own? This article explores Rails generators in depth, including how to build a generator from scratch.
Mobile teams need to consider these four things to ensure they are measuring and managing code quality. Because at the end of the day, good code is clean and well-managed code.
The Python AttributeError is an exception that occurs when an attribute reference or assignment fails. This can occur when an attempt is made to reference an attribute on a value that does not support the attribute.
The rise of remote work has brought forward relatively new software products called time trackers. As more and more companies were going remote, they needed a way to monitor their employees’ work to ensure proper workflow. That’s when they started to use time trackers. Despite the general resistance towards time trackers, time and proper use proved them important. Both companies and employees realized how beneficial time trackers can be both for the company and for personal use.
As we mentioned in the previous article, at NodeSource, we are dedicated to observability in our day-to-day, and we know that a great way to extend our reach and interoperability is to include the Opentelemetry framework as a standard in our development flows; because in the end our vision is to achieve high-performance software, and it is what we want to accompany the journey of developers in their Node.js base applications.
Conceptually, a paradigm is a system of concepts and practices that reflect the current state of our understanding of the field. In general, a programming paradigm refers to a style, way, or classification of programming. Programming languages are used in order to solve problems. A paradigm's difficulty varies according to the language. Paradigms can be used in several programming languages, but a strategy or methodology must be followed.
One major reason for digging into API and product analytics is to be able to easily identify trends in the data. Of course, trends can be very tough to see when looking at something like raw API call logs but can be much easier when looking at a chart aimed at easily allowing you to visualize trends. Enter the Time Series chart.
Recently, conversations have been increasing around OpenTelemetry; it is gaining more and more momentum in Node.js development circles, but what is it? How can we take advantage of the key concepts and implement them in our projects? Of note, NodeSource is a supporter of OpenTelemetry, and we have recently implemented full support of the open-source standard in our product N|Solid. It allows us to make our powerful Node.js insights accessible via the protocol.
