Continuous cloud optimization that runs itself
Policy-driven automation
Transform manual reviews into automated workflows with customizable policies that reflect your company’s cost priorities.
ML-powered Kubernetes optimization
StormForge-powered machine learning that understands real workload behavior—not just utilization.
Free trial
ROI tracking
Track both projected and realized savings with full attribution, so every optimization delivers measurable business value.
Private cloud waste elimination
Identify and act on waste in VMware and OpenStack with prebuilt signals and automation.
Engineering-FinOps collaboration
Bridge the gap between insights and action with workflows that balance financial targets and engineering realities.
Feature highlights
Cloud native actions framework
Kubernetes ML optimization
Private cloud optimization
Idle resource automation
Customizable policies
Archera integration
What our partners say
We needed tooling to quickly analyse our AWS environment costs, schedule environment shutdowns and deliver consistent cost optimization services for our customers which CloudBolt delivered out-of-the-box.
CloudBolt is transforming the way we manage our cloud resources by simplifying our automation and orchestration tasks, while their FinOps integration is giving us better control over costs.
The forecasting tools helped us predict usage spikes and right-size our commitments—it’s saved us hundreds of thousands by avoiding over-provisioning.
Stop Reporting. Start Optimizing.
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FAQs
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How does CloudBolt’s continuous optimization work differently from traditional cost reports?
Instead of waiting for monthly or quarterly reviews, CloudBolt executes optimization policies automatically. This eliminates idle resources, rightsizes workloads, and enforces cost priorities in near real time.
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Can it optimize Kubernetes clusters we’ve already automated with tools like Karpenter?
Yes. StormForge-powered optimization complements existing autoscalers by sizing workloads before they’re provisioned, ensuring resources are right-sized at the outset—not just scaled reactively.
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How do we track the ROI of continuous optimization?
CloudBolt measures both projected and realized savings with full attribution. You’ll see exactly how each optimization—whether in Kubernetes, public cloud, or private cloud—impacts your bottom line.
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Does it work for private cloud environments like VMware or OpenStack?
Absolutely. CloudBolt applies the same waste detection and automated remediation to VMware and OpenStack, helping you maximize utilization across hybrid and on-premises environments.