Systems | Development | Analytics | API | Testing

Excellent performance is key for any application, regardless of the framework or language. Today’s digital consumers demand speed and precision, and will quickly quit a sluggish app. That's why performance monitoring, especially Real User Monitoring (RUM), is important for every developer to implement. We recently launched RUM for BugSnag, providing developers the visibility they need to ensure great application performance.

Large language models (LLMs) are all the rage, fueled by the release of OpenAI's ChatGPT in late 2022, initially powered by the LLM GPT-3. Aside from the news hype, what can LLMs actually, getting-down-to-brass-tacks, nitty-gritty do for your business? Here, we’ll look at three examples of problems they can solve. But first, a quick definition of LLMs.

In Part One of our “Inside Flink” blog series, we explored the critical role of stream processing and why developers are increasingly choosing Apache Flink® over other frameworks. In this second installment, we'll showcase how innovative teams across every industry and size are putting stream processing into practice – from streaming data pipelines to train ML models or more timely analytics to fraud detection in finance and real-time inventory management in retail.

In the digital age, data transfer is integral to operations for businesses of all sizes. While Extract, Transform, and Load (ETL) processes have become fundamental for moving raw data to destinations like data warehouses, the protocols you use to transfer these files can impact the efficiency and security of the entire operation. Dive into our comprehensive guide, as we shed light on the most popular file transfer protocols and their relevance in today's tech landscape.