React Native DevOps: Using CI/CD pipelines to deploy React Native apps
Moataz Nabil talked about React Native and DevOps at React Day Berlin. Here’s the recap to help you use Bitrise Pipelines to deploy React Native apps.
Moataz Nabil talked about React Native and DevOps at React Day Berlin. Here’s the recap to help you use Bitrise Pipelines to deploy React Native apps.
Data is everywhere–driving the evolution of technology, changing the way we do business, transforming what it means to be a customer. Yet, too many businesses are still operating in a data-aware state and not truly adapting to a data-driven mentality. According to Deloitte Insights, just 1 in 10 executives believe that their employees can actually use data to make decisions.
Exploratory testing is a successful method for locating undiscovered defects in software. However, many companies request that testers use scripted test cases based on predetermined product requirements rather than exploratory testing. Although scripted test cases help find faults in a product's code, exploratory tests assist the QA team in finding difficult-to-predict problems within the features of the finished product.
2022 is coming to a close, and what better way to end the year than a list for list’s sake? As we reflect on the year passing, here are the top five Kong moments of 2022 as decided by me (because all the people more important than me are already on vacation). Read on!
ClearML is now officially integrated into the NVIDIA TAO Toolkit 🎉. For those of you that don’t know yet, the NVIDIA TAO Toolkit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training process by abstracting away the AI/deep learning framework complexity.
Clouderans made a global impact by running a number of donation activities and local giving events to celebrate the season of giving.
We’re in the defining decade of data. Data underpins the technologies transforming how we work, communicate, socialize and buy. If you want to take part in the revolution, you need to become—or hire—a data leader. But what does that even mean? What sets data leaders apart from the average data-aware professional? And how can we become data leaders?