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 this blog post, we’ll round up the best mobile CI/CD advice from last year’s Mobile DevOps Summit to help you release better apps, faster. Our Agenda and Speaker list have been released for our 2023 Mobile DevOps Summit: October 4 - 5.

In today's digital landscape, data reigns supreme, shaping every facet of modern life. From personal pursuits to corporate endeavors, data's significance is undeniable. Its pivotal role spans industries, driving informed decisions and fueling efficient operations. Businesses harness data's power to decipher trends, understand customers, and adapt strategies. Effective data management, epitomized by Database Management Systems (DBMS), is essential.

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.

Application programming interfaces (APIs) serve as the backbone of today’s digital economy. They connect applications and web services with each other to exchange information and deliver thousands of digital experiences to users every day. With such significance, APIs can’t afford to be buggy, and software testers must frequently test them to identify and address potential issues. However, there’s a catch. Sometimes an API is not fully developed, or is simply too expensive to access.

The best business decisions—those that generate results—are backed up by solid data. But raw data just won't cut it. Instead, you must generate actionable and valuable data-driven insights. These actionable insights about your customers, your industry, the economy, and beyond help your business grow. For example, they can support the decisions you make to develop new products or expand into new locations. But how do you uncover these data-driven insights?

We live in a highly interconnected world, and that interconnectedness couldn’t have existed without the tremendous contributions from the telecommunications industry. With 5G technology finally becoming mainstream, IoT growing at a rapid rate, and AI tech gaining prominence, the telecom industry is surely up for an exciting future. This faster-than-ever growth comes with the need for robust, continuous telecom testing to always maintain a high standard of service quality.

This post is part of a series on becoming a secure API-first company. For a deeper dive, check out the eBook Leading Digital Transformation: Best Practices for Becoming a Secure API-First Company. The growth of APIs isn’t just rapid — it’s a seismic shift. Industry insiders say they plan to introduce more APIs in the next five years than all the APIs they’ve created up until today. And this impending surge will place a serious burden on mission-critical API infrastructure.

Classical request/response architecture is driven by procedure calls, where a caller waits for the call to finish, and the call continues until the work is done. Each incoming call is broken into smaller procedure calls, which may in turn call other procedures. In contrast, event-driven architecture (EDA) is driven by events such as user actions, sensor outputs, or messages from other programs/threads, which determines the execution flow.

Java performance optimization is crucial for several reasons. First and foremost, it directly impacts the user experience. Faster and more responsive applications lead to a better user experience, reducing loading times and response delays. Users expect applications to be snappy and efficient, and optimization helps achieve this, enhancing user satisfaction.