Remove 2025 Remove Cloud Remove Hardware Remove Virtualization
article thumbnail

6 Ways Cloud Computing and Virtualization Energize Utility IT Operations With Scalability and Flexibility

DZone

billion by 2025. To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. Enel migrated its legacy IT systems to a hybrid cloud model.

article thumbnail

7 Different Types of Game Testing Techniques

DZone

The global gaming industry is expected to reach more than $300 billion by 2025 with the growth of revolutionary offerings, like cloud gaming and mobile gaming, according to a new report from GlobalData. are moving their business in this new area.

Games 306
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. So, what is ITOps?

article thumbnail

What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This integration enhances the flexibility of cloud services while bolstering their computational and storage functions.

Storage 130
article thumbnail

AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

Both concepts are virtually omnipresent and at the top of most buzzword rankings. Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. In the case of artificial intelligence (AI) and machine learning (ML), this is different.