Open Future Blog by Syone

Data is the "new oil." It's the new currency of every single business out there and cannot be ignored anymore. Having the data is one thing, but knowing how to leverage the same data is just as important.  

DevOps has become a bit of hype in the fast world of software development. Solet's get through the hype and bring it down to earth: DevOps is a game-changer, not just about trendy tools and flashy pipelines. It's a completely new way of thinking: a cultural shift that can supercharge your team's ability to deliver excellent software lightning-fast. 

But how do you know if your DevOps journey is heading in the right direction? How do you measure success and prove the value of your efforts? That's where metrics and KPIs come in, your trusty compass in the DevOps landscape. Let's focus on the metrics that truly matter; they can provide a clear picture of your DevOps performance and help you identify areas in which you should level up. 

Nowadays, Artificial Intelligence (AI) is becoming a powerful ally for employees everywhere, offering amazing solutions to improve productivity and efficiency in the workplace. However, the introduction of AI tools without proper supervision and control can entail significant risks for the security and privacy of businesses, exposing confidential information and compromising the integrity of the company's data systems.  

Sensitive data, the lifeblood of any organization, could be exposed if the right safeguards aren't in place and your hard-earned reputation might take a hit with a single breach. 

We all know that, no matter which business area we work in, efficiency and adaptability are essential in our fast-paced digital world. Therefore, we constantly look for the best solutions to help us optimize our IT resources. And when it comes to enabling efficient virtualization, containerization and cloud management, this isn’t any different. 

However, if you thought that VMware was your only option, maybe it's time to investigate Red Hat OpenShift Virtualization. 

As organizations embrace digital transformation, they need adaptable IT frameworks to meet growing demands. Effective IT infrastructure management is crucial for success.