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As cloud storage prices quietly drain enterprise budgets, most options nonetheless require an excessive amount of effort and price for too little return. Misaligned capability and inflexible scaling insurance policies are simply a number of the points that inflate spending with out delivering the efficiency positive aspects organizations count on.
Many are actually on the lookout for smarter and less complicated methods to remain environment friendly with out slowing down. In keeping with a survey earlier this 12 months, 56% of companies are hindered by cloud storage prices.
Datafy, a startup centered on autonomous storage optimization, has raised $20 million in seed funding to supply a extra direct and automatic path to reducing cloud waste.
The startup affords a hands-off storage optimization layer that works behind the scenes. It repeatedly tracks utilization and adjusts cloud storage in actual time, serving to groups keep away from overprovisioning and wasted spend with out the necessity for dashboards or guide changes.
It’s a big seed spherical by any customary, signaling each the urgency of the issue and the dimensions of Datafy’s ambition. The funding was led by Bessemer Enterprise Companions, with participation from Perception Companions. These two corporations with a monitor report of backing deep infrastructure performs.
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The funding provides Datafy room to deal with storage inefficiency on the infrastructure layer, fairly than including one other software on high of an already crowded stack. The corporate plans to make use of the funding to increase its operations within the U.S., additional develop its optimization engine, and develop its companion ecosystem.
With a number of AWS Premier Companions already in its companion community, Datafy is seeing sturdy early traction amongst groups working large-scale workloads in AWS environments. The corporate is now positioning itself to maneuver from preliminary momentum to broader adoption throughout cloud-heavy industries.
Datafy says it might probably lower cloud storage prices by as much as 50% by routinely resizing volumes as utilization shifts. That hands-off strategy is aimed toward serving to groups keep away from overprovisioning with out fixed oversight.
Its core product targets Amazon EBS (Elastic Block Retailer), a extensively used however typically inefficient storage service. By adjusting EBS volumes in actual time, Datafy helps clients keep environment friendly with out disrupting workloads.
Among the many early adopters is By way of, a transportation software program firm that depends on secure infrastructure to maintain companies working easily. “Datafy has the system to routinely scale storage as calls for shift, with out downtime or wasted spend,” stated Lior Gernenstein, CTO of By way of. “With clear visibility into utilization, we will make smarter infrastructure choices and keep centered on delivering dependable, resilient transportation to the communities we serve.”
H2O.ai, which helps enterprise AI workloads at scale, reported related advantages. “With Datafy, we decreased EBS prices by 40 % whereas sustaining the flexibleness to routinely scale storage as wanted,” stated Ophir Zahavi, Senior Supervisor of Cloud Engineering. “The efficiency enhancements have been fast, and the answer’s simplicity and reliability really stood out.”
Credit:Datafy.io
Datafy’s providing sits in an area that’s grow to be more and more aggressive as cloud spending attracts extra scrutiny. Whereas many price optimization instruments purpose to assist groups perceive their cloud utilization, few take motion with out human enter. A core theme in Datafy’s strategy is autonomy, positioning the platform as one thing that doesn’t simply inform choices however makes them.
This aligns with the broader development in cloud operations, the place groups need instruments that really feel like a part of the infrastructure fairly than one thing further to watch. As an alternative of including one other layer to maintain monitor of, they’re on the lookout for techniques that quietly deal with a number of the duties within the background. That sort of strategy is getting extra consideration as cloud environments develop extra complicated and budgets get tighter.
That emphasis on deep automation has additionally resonated with traders. “Not like so many others making an attempt to assist clients save cloud prices on the operational stage, Datafy has taken a deep tech strategy and developed a product for probably the most demanding and complicated customers of cloud storage,” stated Adam Fisher, companion at Bessemer Enterprise Companions.
Whereas the platform is constructed to run with out person enter, groups nonetheless have the choice to step in and make guide adjustments if wanted. That safeguard helps guarantee flexibility, however the core expertise is designed to remain hands-off, whilst workloads shift or utilization patterns evolve.
Whereas a lot of Datafy’s early traction is tied to AWS, the underlying design shouldn’t be cloud-specific, which might make broader assist doable down the road. There may be additionally some potential for the platform to evolve past storage, given its place on the infrastructure layer. For now, the main focus is on refining its platform and changing early momentum into wider adoption.
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