To seasoned IT engineers, DataOps may not sound very difficult. After all, if you work in IT, you know all about managing databases, provisioning data storage, moving data around and so on ...

“Continuous” is one of the operative words of DevOps. A major goal of DevOps is to make all processes continuous, which means having them proceed smoothly and constantly to avoid delays or ...

The last few years have seen some major slip-ups in the security space among all major cloud providers, resulting in uncertainty and speculation. That’s understanding; cloud security is an extremely complicated subject ...

Data Operations, or DataOps for short, is one of those IT buzzwords that lots of people use, yet few can define precisely. Like the cloud or DevOps, DataOps doesn’t make sense until ...

Big data is an older fashionable term that, when combined with agile methodology, AI and ML and analytics, has become a powerful trend once again in data operations (DataOps). If you’re a ...

If you’re a developer, most of your experience when it comes to security probably centers on designing and writing secure code. You know how to prevent buffer overflows, architect your microservices in ...

The whole idea behind DevOps is automation. DevOps automates the development process by eliminating or minimizing human error. If an error occurs, the applications fail quickly so the errors can be resolved ...

It’s the age of DevOps, and we all want to shift left, which refers to the idea of performing processes earlier in the CI/CD cycle. That includes security checks and audits. By ...

Once upon a time, workload security (which means making sure an application and its environment are configured and deployed securely) was something that developers didn’t have to think much about. Developers’ only ...

We’re living in a cloud-native age. That means that many of the paradigms that worked in the days of on-premises hosting no longer suffice. Chief among them is security. To thrive in ...