The leaked token, accidentally embedded by the company’s employee in a public repository, might have provided an attacker ...

DevOps software company Perforce has expanded its testing and synthetic data capabilities with the introduction of AI-powered ...

Overcoming DevOps obstacles—such as slow, manual, poor-quality test data—is key toward accelerating pipelines. With speed being a central success factor for DevOps pipelines, increasing velocity ...

Modernising legacy systems within the enterprise is a constant struggle for IT leaders. But Agentic DevOps promises to address the complexities of digital transformation.

It’s a generally accepted maxim that the business community’s fascination with big data, which started in the mid-2000s, ran out of steam about five years ago. But that’s only partly true. While the ...

Open-source data orchestration platform Kestra reaches 1.0 as organizations grapple with increasing complexity for getting ...

As system architecture moves to the cloud, understanding the impacts of new code releases and points of failure requires a whole new approach. The increase in agility, bandwidth, and security has been ...

As enterprises embrace digital transformation and migrate critical infrastructure and applications to the cloud as a key component of those efforts, what can be called “data clouds” have started to ...

Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...

Data science and machine learning are often associated with mathematics, statistics, algorithms and data wrangling. While these skills are core to the success of implementing machine learning in an ...