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.

Node.js has seen meteoric growth in recent years, making it one of the most popular programming languages on the web. By combining Javascript on the front end with Node.js for backend development, JS developers can create powerful and scalable apps that offer benefits not found elsewhere.

The five things you need to know about data observability in a data pipeline are: Becoming a data-driven organization is a vital goal for businesses of all sizes and industries—but this is easier said than done. Too many companies fail to attain the fundamental principle of data observability: knowing the existence and status of all the enterprise data at their fingertips.

Clouderans made a global impact by running a number of donation activities and local giving events to celebrate the season of giving.

Hey there, everyone. How are you all doing? I noticed the reply. Hmm. As a result, you claim that your situation is good. Do you actually feel good? Are you getting adequate rest? Having a healthy diet? Do you maintain a clear boundary between your personal and professional lives? When was the last time a production flaw occurred? When did you last snooze like a baby? When did you last take a trip? When did you last speak with your childhood friend? I apologize for asking so many questions.

APIs, or application programming interfaces, have become vital components for businesses looking to compete in the digital economy. What draws business operations toward API implementation is the fact that APIs afford businesses the opportunity to get more out of their valuable data. Considering that the worldwide API management market size is projected to reach over $13 billion by 2027, it’s clear that APIs have created a prominent place for themselves in the digital economy.

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?

If you have been a long-time user of the Google Cloud Platform, you’re likely familiar with the StackDriver suite of Observability and Operations tools. The most unique part of that suite was Google’s StackDriver Debugger, which was designed to debug live code in cloud and production environments with a click of a button. Unfortunately, StackDriver has been renamed as Google’s Operations suite, and the Debugger has been deprecated.

Enterprises who are actively increasing their AI maturity in a bid to achieve business transformations often find that with increased maturity comes increased complexity. For use cases that require very large datasets, the tech stacks required to meet business needs quickly become unwieldy.