While the aim of FinOps is to manage just the cloud costs, technology business management seeks to aggregate all costs of IT, including data centers, servers, software and labor, to identify savings and manage return on investment.
The Netherlands is now enforcing the energy saving obligation, suggesting they will also enforce EED energy management system and audit requirements. Data center operators need to establish a plan to optimize their energy performance.
Examining staffing trends in Chinaβs data centers could provide insights into how US and European data center teams can expand their talent pipeline and address workforce shortages caused by an aging population.
Pulling reliable power consumption data from IT is increasingly important for operators. Although third-party software products offer promise, significant roadblocks still hinder adoption.
Many data center operators are unaware that digitizing process documentation can impact staff performance. Understanding human psychology enables team leaders to create more effective digital versions of procedural documents.
Although there is still uncertainty around the rate of AI adoption, many organizations are pushing ahead to avoid being left behind. However, behind this enthusiasm, there are six issues that operators face when hosting AI.
Many data centers struggle to achieve maximum capacity and optimal cooling, resulting in troublesome hot spots. Advances in cooling optimization software have addressed this complexity and could be the answer.
Data center managers are squeezed between complexity arising from digital innovation and the need for secure and reliable service delivery. Is it possible to minimize risk while enabling business innovation?
This report outlines the characteristics of machine learning (ML) applications, describes production use cases for ML-based software in data center M&O, and profiles several vendors offering AI-based functionality in their products.
Preliminary calculations by Uptime Intelligence suggest the initial impact of generative AI on global data center power use is low β but it will rise quickly as adoption increases. How far generative AI will go remains unclear.
The industry is touting AI as a highly useful tool for data center operations. In this Webinar, Uptime executives discuss the most appropriate AI systems for data center controls and efficiency, along with what works best - and why.
Findings from the latest Uptime Institute Global Data Center Survey show for the first time that the proportion of IT workloads hosted in on-premises data centers now represents slightly less than half of the total enterprise footprint.
Unpredictable costs and βbill shocksβ are a growing problem for organizations running their applications and workloads in the public cloud. FinOps could help enterprises analyze, report and optimize cloud and other IT costs.
The Uptime Institute Global Data Center Survey 2023 shows that trust in artificial intelligence as a tool capable of making operational decisions has fallen sharply year on year. What is causing this reaction?
Uptime has delivered assessments of data center operations for over a decade. In this session, we present what we've learned and how those lessons can be applied to stabilize your organization in the face of climate and macroeconomic challenges.