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As a startup, an organization thrives by breaking rules, challenging the status quo and standing for all that is against the norm. The same rules don’t apply once the same organization grows, ...

Artificial intelligence (AI) is making all the difference between innovators and laggards in the global marketplace. Yet, implementing a state-of-the-art DataOps operation involves a long-term commitment to putting in place the right ...

Unless you are an alien life form who just beamed down from space, you've heard all about the why of moving data workloads to the cloud. The cloud is a more scalable, ...

Over the years, application performance management (APM) tools have been utilized typically to measure and monitor the performance of software such as web applications. They do so by tracking such things as ...

If you’re a DevOps engineer, you probably don’t think of data operations as a key part of your job. You help to write code and deploy and manage applications, while someone else ...

Everyone (or almost everyone) in the DevOps world likes to talk about the importance of security. But too often, these DevOps security conversations end with generic recommendations such as, “Follow the OWASP ...

AI tools hold great promise for DataOps. They can help teams identify the best apps to migrate, identify optimum cloud infrastructure and even validate decisions. But how can an IT team ensure ...

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 ...