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CloudBolt 2024 Predictions: What's Next for the Cloud

vmblog-predictions-2024 

Industry executives and experts share their predictions for 2024.  Read them in this 16th annual VMblog.com series exclusive.

What's Next for the Cloud

2023 can easily be heralded as the year of generative AI. Gen AI has been instrumental in reshaping how businesses operate, and this past year has been pivotal in the journey towards a more intelligent and efficient future.

A cornerstone of this transformation lies in the recognition that AI's success is tied to the quality and abundance of the data it processes. As such, 2023 has also witnessed a renewed focus on the role of data centers and cloud management as indispensable components of enterprise IT.

Against this backdrop, CloudBolt Software, a leader in cloud management and FinOps, has been keeping its finger on the pulse of the evolving dynamics of multi-cloud complexity. Its periodic research initiatives serve as a compass for enterprises navigating this landscape.

So, what's in store for enterprises in the year ahead? Tapping into these findings, Kyle Campos, CloudBolt's Chief Product and Technology Officer, foresees a year of profound transformation within the cloud industry, with a sharpened focus on optimizing cloud spend.

Below are his top cloud predictions for 2024, offering a glimpse into the considerations that will shape the cloud industry:

Cost will become the ultimate performance metric

After decades of profligate spending on hardware, software, and services, 2024 will become the year that the cost to run an application becomes the ultimate performance metric. The traditional metrics that are focused on commodities (CPU, memory, disk, network) will actually become less important. As digitally transformed organizations continue their advance to the cloud, the cost-of-goods-sold will get linked intrinsically with operational and services measured at a finer-grained level; looking at specific tools, services, and algorithms for cost savings.

Platform Engineering will take center stage in IT organizations

As businesses continue to sharpen their focus on efficiency -scrutinizing every expenditure and tool - by December 2024, most forward-thinking CIOs will institutionalize Platform Engineering and establish corresponding teams. These teams will not only manage technology assets, but also prioritize them to accelerate business value delivery. This strategic shift aligns with the broader industry trend of optimizing technology stacks for agility and efficiency, offering a multi-dimensional approach to solving current business challenges.

FinOps joins Security and Observability as the "golden paths" trifecta of Platform Engineering

FinOps silos that drive friction and unrealized optimization promises will find a breakthrough as the conversation and solutions shift from "motivation" to "facilitation." And with Platform Engineering fully adopted as a technology approach by the majority of forward-thinking IT organizations by the end of next year, FinOps practices will become a native part of its "golden paths," on par with security and observability, as the trifecta of defaults in the delivery process.

The balance of power between cloud providers and consumers will further equalize

As organizations grapple with intricate financial challenges in 2024, consumers will increasingly demand flexibility, compelling cloud providers to offer more consumer-centric pricing and services. The FinOps FOCUS initiative instituted this year is just the beginning. The collective voice of the user community will continue to be a game-changer in leveling the playing field between cloud providers and consumers.

AI/ML will disrupt the linear relationship in the FinOps solution ecosystem

Currently, there is a direct correlation between user complexity/friction and capabilities/cost granularity in the FinOps solution ecosystem: increases in the latter makes the former that much more complex. But advances in AI/ML will continue to disrupt the status quo, lowering the barrier and time to value for users. What used to take hours of custom configuration, trial and error, will be a low friction conversation. Additionally, AI/ML will facilitate Unit Cost solution inversion such that unit cost is provided to the user, not from the user.

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ABOUT THE AUTHOR

kyle-campos 

Kyle Campos is a seasoned technology veteran with a 25-year track record of building scalable, agile and practical development projects. Before joining CloudBolt as its Chief Product & Technology Officer, Campos was the EVP of Technology at Smarsh, where he led the assembly and launch of the enterprise SaaS business, which moved the company from newcomer to market leader in under three years. At CloudBolt, he leads a unified global engineering team focused on increasing automation and optimizing hybrid cloud operations, infrastructure, spend, and security for customers worldwide.

Published Friday, November 24, 2023 7:36 AM by David Marshall
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