In this blog post we are going to look at using JMeter to support business testing in production. This is a slightly different topic to the one discussed in this post on testing in production. The one in the link above is around running your performance testing in production for reasons that are discussed in that post. This post is going to focus on how you can leverage your performance testing tools to support this activity, as discussed above we will focus on JMeter in some of the examples.

Gartner predicts that 70% of engineering teams will shift to "continuous quality" by 2026. But what is continuous quality, anyway?

Delivering quality software is as much about the people behind the code as it is about building the software itself.

Accelerate data movement into the Snowflake Data Cloud to execute analytic workloads, AI and GenAI.

Fan expectations pose an existential threat to fan-centric businesses. And that's because what it means to be a fan has changed. Fandom used to be watching the Monday night game on TV or getting tickets for a concert when your favorite artist rolled through town.

Companies often face challenges integrating various systems and technologies. A system integrator is an invaluable resource for organizations. Five key takeaways about system integrators: In this article, you'll learn what system integrators do, how to know when you might need one, the benefits of hiring a system integrator, and how to choose the right system integrator for your organization.

Check out Scout Monitoring's ollama-rails GitHub repo for samples on how to use ollama-ai to communicate with Ollama. Large Language Models (LLMs) have emerged as a game-changer, enabling machines to understand, generate, and process human language with unprecedented accuracy and fluency. One such tool that has gained significant attention is Ollama, a cutting-edge platform that allows developers to run LLMs locally without relying on cloud services.

Shaping the future of AI goes hand in hand with discussions of diversity, equity, inclusion (DE&I), and women’s leadership. As AI increasingly pervades, revolutionizes industries, and reshapes the daily lives of people, the question of addressing intrinsic biases and ensuring inclusivity in the development of AI becomes critical.

There is a growing recognition that insurers can introduce data, analytics and AI into virtually all of the important insurance functions and workflows, including product development, pricing and risk selection, underwriting, claims management, contact center optimization, distribution management, reinsurance, and understanding and shaping customer journeys. Here are some of the exciting ways insurance companies can put data to work.