Systems | Development | Analytics | API | Testing

AI was the hot topic of 2023 and will continue to reign in 2024: ChatGPT first launched at the end of 2022 and became a massive hit in just a few months. Google released Bard shortly after, and then, new AI tools just kept popping up, prompting marketers to learn how to leverage them to become more efficient and productive.

Testing in production was previously ignored by Product Developers, But recently it gaining Popularity Again! Even, more organizations are planning use this. In this Article, We’ll explore What is Testing in Production,How & Why to use it,It’s Benefits , drawbacks and many more. So Without Delaying Further, Let’s START!

We’re here with our latest round-up of new Bitrise features. We think these delighters will simplify how you work and cut down on unnecessary noise.

Earlier this year at Snowflake Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time. In this post, we provide our biannual update to showcase the latest improvements.

How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.

In the face of Canada’s housing crisis, the University of British Columbia’s Housing Assessment Resource Tools (HART) set out to make government census data more accessible. By developing more intuitive tools and offering valuable resources, HART plays a key role in providing essential information for governments, housing developers, and the public to make informed, data-driven decisions.

Reusable UI components are user interface widgets or elements that can be used in various places in a web project. These components are typically small and created for a specific functionality. Typically, you write the code once and then import the UI components wherever needed. For example, you can create a card component that displays certain information or have a navigation bar that will appear at the top of all web pages. Such UI elements can be imported and added to your desired web page.

A data lake is a main storage repository that can hold vast amounts of raw, unstructured data. A data lake is not the same as a data warehouse, which maintains data in structured files. Five key takeaways about data lake tools: A data warehouse uses a hierarchical structure, whereas the architecture of a data lake is flat.

API testing is a bit like putting together a puzzle. You need all the pieces to fit perfectly to see the big picture, and sometimes, you have to simulate a piece or two with mocking. Mocking in API testing lets you imitate a component or system’s behavior to test your application more efficiently. It’s like having a stunt double for your API when the real actor is unavailable. This approach can save time, reduce costs, and increase the reliability of your testing process.