Systems | Development | Analytics | API | Testing

If you’re one of the cool kids building AI-based products you’ve probably heard of — or are already doing — RAG. If you’re not, let me tell you what RAG is before telling you one weird fact about it. “Retrieval-Augmented Generation” is nothing more than a fancy way of saying “including helpful information in your LLM prompt.” Still, there are many ways to do it and many questions to answer when building a RAG pipeline.

Struggling with API issues? API observability may have the solution. It reveals the critical insights that hide within API metrics, logs, and traces, offering you the power to diagnose and fix problems swiftly. In this article, we detail what API observability is, how it benefits your systems, and the ways it supersedes traditional monitoring to keep your digital services operating at peak performance.

Datastream’s new append-only mode streamlines the process of replicating changes from an operational databases to BigQuery.

There are several K6 alternatives with various degrees of reporting, ease-of-use and extensibility. We review 5 of them here!

How to use BigQuery vector search to analyze logs and asset metadata stored in BigQuery tables.

Application Programming Interface (API) security is the practice of protecting APIs from attacks. Like databases, servers, and networks, APIs are susceptible to attacks from hackers looking to gain access to sensitive data. Since APIs are more commonly used — to the extent that they’ve become a fundamental part of modern applications — they’ve become a popular target for hackers.

Application Programming Interface (API) is a set of rules or protocols that allows one software application to interact with another. An API integration tool is a software that facilitates the ‘talk’ or communication and data sharing between different software systems and applications. While manual API integration is possible, utilizing API integration tools enhances the efficiency and reliability of this process.

One of the new features of Xcode 16 is called "explicitly built modules". Behind this abstract name is something that makes builds faster and compiler errors more informative. As this is enabled by default for C and Objective-C code, you can experience some of the benefits instantly, but it can also be enabled for Swift code as an experimental feature. In this post, we'll explore how this feature works and the benefits it brings to projects that adopt it.

As programmers we know that, despite our best efforts, we’ll never be able to completely eliminate errors from our apps. The sheer complexity of modern apps, not least the reliance on dynamic (often third-party) inputs, means errors are inevitable and error handling (exception handling) is crucial to user experience.

With today's fast-paced business environment, efficiency in data exchange holds the key to competitiveness and overall effectiveness in operations. EDI (Electronic Data Interchange) contributes massively to achieving this efficiency, redefining the way companies handle their data transactions. EDI is vital for doing business today. These automated workflows enable reduced transaction costs and improved data accuracy.