Simply running an application on a remote server doesn’t make it cloud-native. It’s about specific design principles for scalability and resilience. Cloud-native applications are increasingly the ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Enterprises often discuss AI, but the true driver of progress is beneath the surface. It resides within the infrastructure ...

Companies must continuously innovate to stay ahead. The rapid evolution of technology makes this essential. In the past decade, traditional businesses shifted to cloud-native architectures, gained ...

Building a case for cloud-native apps could mean building a case for better customer experiences. Becoming digital-first is no longer a nice-to-have for companies — it’s a must-have for survival. As ...

Becoming cloud native can help organizations already pursuing digital transformation make the most of their investments. Business models, transaction channels and opportunities change far too rapidly ...

These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...

For the past decade, the cloud-native paradigm — defined by containers, microservices and DevOps agility — served as the undisputed architecture of speed. As CIOs, you successfully used it to decouple ...

In the fast-evolving world of cloud-native networks, modern infrastructure designs have shifted toward microservices and containerized environments. These systems are powerful, but they also introduce ...

‘When we split from IBM, we were working on the IBM Cloud and on customer on-prem data centers but not doing anything with the three major hyperscalers. Now we have partnerships with AWS, GCP and ...