The latest News and Information on DevOps, CI/CD, Automation and related technologies.
High Cardinality woes are far & frequent in today's modern cloud-native environment. What does it mean, & why is it such a pressing problem?
The advent of multi-cloud and hybrid-cloud architectures has created new opportunities for organizations to leverage best-in-class features from various cloud service providers. However, these complex environments present their own unique challenges, especially when it comes to monitoring and managing performance.
While organizations are quickly adopting AI to automate tasks and improve operations, it’s important to consider the security risks associated with integrating AI into your company’s processes and software. AI not only brings an opportunity to increase efficiency but also introduces additional risks to your organization if not used responsibly — just like a recent example from Samsung has shown.
At one particular time, a developer would spend a few months building a new feature. Then they’d go through the tedious soul-crushing effort of “integration.” That is, merging their changes into an upstream code repository, which had inevitably changed since they started their work. This task of Integration would often introduce bugs and, in some cases, might even be impossible or irrelevant, leading to months of lost work.
