Systems | Development | Analytics | API | Testing

Discover why continuous testing is critical to the DevOps pipeline, the benefits of continuous testing and, how to get started with continuous testing.

APIs have become the backbone of modern software development, by facilitating seamless communication between applications and systems. But building an effective API requires more than just good coding skills. It also requires careful monitoring and analysis to ensure optimal performance, security, and adoption. Additionally, creating accurate and in-depth reports can be time-consuming and complicated, especially when dealing with large data sets.

Data pipelines are a critical element of any modern, data-driven organization. With the right tools in hand, data analysts can quickly build resilient data pipelines for your analytics infrastructure. From orchestration to monitoring, these tools can march your business towards advanced levels of automation, as well as improved transparency into how your pipeline functions along every step of its journey.

Learn about "immortal time" and how it impacts conversion rates.

Dive into this exclusive article for invaluable expert advice from top B2B newsletter creators. Discover their strategies, growth tactics, and secrets to keeping their audiences engaged and growing.

There’s a lot of hype about hyperautomation. But it’s clear that as new automation technologies emerge, organizations that take a strategic, holistic approach to embedding them into business processes will come out ahead. So, what exactly is hyperautomation? It’s an approach to process automation that uses a combination of technologies to optimize complex business processes and augment human capabilities.

Learn how to set up your Laravel application with a free web socket server and connect it to your front-end for real-time updates.

ChatGPT’s power is astounding and even more importantly, it is growing incredibly fast. Almost every BI and analytics vendor has initiatives in this area, and while several have implemented integrations, applications are still primarily experimental. The promise is huge, but of course, there are plenty of skeptics with valid reasons. This blog highlights areas where ChatGPT can help business intelligence initiatives, and discusses areas where there may be a bit more hype than reality, for now.

View and modify your usage with ease — so you only use what you need.

Businesses everywhere have engaged in modernization projects with the goal of making their data and application infrastructure more nimble and dynamic. By breaking down monolithic apps into microservices architectures, for example, or making modularized data products, organizations do their best to enable more rapid iterative cycles of design, build, test, and deployment of innovative solutions.