Seeing spending in real time might increase or decrease cloud utilization for enterprises. In what cases will finops recommend a return to traditional systems? A 2022 study carried out by TechTarget’s Enterprise Strategy Group found that 62% of firms use third-party cloud-cost estimation tools. This included software to compare potential costs of different public cloud providers. The impact of these finops tools was clear in the study. Just under half (49%) reported that finops tools have led their organizations to reconsider their first choice for cloud for at least one workload, selecting a different cloud vendor for workload deployment. Perhaps the era of choosing a single cloud provider is over. What was most interesting to me is that hardware suppliers all have pay-as-you-go purchase models for the physical systems they sell (aka hardware as a service). The report showed that these hardware vendors were also affected by the data finops systems present. Almost half of the organizations in the study (43%) elected to modernize their on-premises infrastructure rather than place workloads and data sets on public clouds. Many are reporting that in some cases, the data from finops tools led to decisions to select traditional hardware platforms in enterprise data centers as more cost-effective than public clouds. Until finops programs were established, most of the people selecting platforms, cloud and not cloud, for net-new or existing application workloads made decisions without fully understanding the costs. Information, in this case, cost estimation data, is your friend if you’re looking to make smart architectural decisions. We’ve covered the reasons for repatriation. In many cases, traditional hardware platforms are much more cost-effective than public cloud platforms for some data storage and application processing requirements. The finops tools are pointing that out. In many instances, as seen in the report, IT management is pushing application deployments to any lower-cost options, which could be on premises. The danger here is that cost data may not be the only metric you should consider. The platform’s evolution may also affect its cost-effectiveness. You could end up spending less on an on-premises deployment and operation initially but might have to move eventually if that platform fails to evolve with the market, the latest operational tools, security, etc. Another aspect is the selection of public cloud providers. The report also showed that companies used finops information to pick the providers that were more cost-effective. This speaks to the growth of multicloud and the fact that most enterprises use more than a single provider. They have a choice in platforms, such as storage and compute. Even non-commodity platforms and services that may be unique to a specific cloud provider, such as artificial intelligence, serverless, and analytics, are tracked in terms of their costs and benefits. As public cloud providers approach feature synchronization, meaning that many of their services are very much the same, price will be used more as a key metric for service selection. Overall, this is a good trend. Many enterprises are spending too much on cloud services and have little idea of the value being returned to the business and the total cost of ownership for each platform option. Finops is finally putting the information in the hands of those who can get the most out of it and hopefully drive better decisions. We just need to be careful to consider the longer-term impacts of these decisions, which may eliminate any short-term gain. Related content opinion Developers don’t belong on an assembly line Software is a product unlike any other. Forcing developers to track the time on tasks of indeterminate duration has many downsides — and no upsides. By Nick Hodges Oct 30, 2024 6 mins Developer Careers Software Development feature AI is transforming the developer experience. Embrace the change By giving developers the freedom to explore AI, organizations can remodel the developer role and equip their teams for the future. By Andre Bechtold Oct 29, 2024 6 mins Developer Generative AI Artificial Intelligence analysis AI stagnation: The gap between AI investment and AI adoption Despite soaring investments in artificial intelligence, the shortage of AI skills is stifling enterprise implementations. By David Linthicum Oct 18, 2024 5 mins Software Deployment Artificial Intelligence Careers opinion The worst programmer I know You may have heard it said that ‘All code is legacy code.’ It’s a useful guiding principle — and truer than we want to admit. By Nick Hodges Oct 01, 2024 6 mins Developer Careers Software Development Resources Videos