Learn what's new and what's coming at Sauce Labs with this product roadmap update.

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs.

It's not hard, it's just new. How can you, your business unit, and your enterprise utilize the exciting and emerging field of Generative AI to develop brand-new functionality? And once you’ve figured out your use cases, how do you successfully build in Generative AI? How do you scale it to production grade?

Imagine this: You're documenting an unreleased feature, and your documentation requires screenshots. However, you're working in an internal environment that includes features you don't want to reveal to the public. What do you do? We faced this exact situation during the API Summit release when we needed to capture screenshots of the new Kong Konnect Plus dashboard while our internal environment also showcased Mesh Manager features.

Elixir excels at building scalable and maintainable applications. However, sometimes Elixir is not the best language to tackle specific tasks, and it can fall short in some areas, like direct system interaction. Fortunately, Elixir offers NIFs (Native Implemented Functions): a path for integrating with other languages to improve these gaps.

Content can be a strong asset for SaaS businesses if done right. Follow these expert tips to build an effective content marketing strategy in 2024.

Want to know how you stack up against competitors when it comes to content marketing? Here are some benchmarks you should check out.

You’ve probably heard of the Internet of Things (IoT); all those everyday objects that incorporate computing functions. For example, the IoT allows you to connect your phone to your refrigerator. This way, you can know exactly what to buy at the supermarket for that impromptu dinner that night. Perhaps you’re part of a DevOps team, using microservices and containers to build and deploy legacy and cloud-native applications quickly and iteratively.