Spot idle and oversized resources
Scan connected providers for underused compute, forgotten storage, stale load balancers, expensive NAT paths, and resource shapes that no longer match traffic.
Clanker Cloud brings cost signals into the same local AI Ops workspace as topology, runtime state, tags, deploy context, and approval gates.
Cloud bills are symptoms. Clanker Cloud helps operators trace those symptoms back to resources, workloads, ownership, and recent changes before a team touches production.
Scan connected providers for underused compute, forgotten storage, stale load balancers, expensive NAT paths, and resource shapes that no longer match traffic.
Connect cost changes to resources, tags, regions, deploy windows, autoscaling events, Kubernetes workloads, and topology instead of stopping at a billing chart.
Right-sizing, cleanup, scheduling, and routing changes can become reviewed action plans before anything is resized, deleted, moved, or purchased.
Point the desktop app at your current AWS, GCP, Azure, Kubernetes, Cloudflare, Hetzner, DigitalOcean, or Vercel credentials. The credential boundary stays local.
Ask what changed this week, which resources are wasting money, which teams or services own the spend, and whether the anomaly matches recent operational changes.
Use Clanker Cloud to draft the optimization plan, inspect the blast radius and estimated savings, then apply only after the proposed change is explicit.
The demo shows the practical loop: scan live infrastructure, identify spend movement and waste, then keep optimization behind a reviewed decision instead of blindly applying changes.
Clanker Cloud is useful when the question is operational, not just financial: what got expensive, why it moved, who owns it, and what a safe next action looks like.
Clanker Cloud is strongest when engineers need to explain spend through resources, topology, tags, and recent changes.
Keep dedicated cost platforms for chargeback, allocation policy, and long-horizon reporting. Use Clanker Cloud for operational investigation and reviewed action.
Cost is often tied to incidents, deploys, routing, scaling, and data movement. Clanker Cloud keeps those signals in the same local workflow.
Cost questions rarely stay inside one billing console. Clanker Cloud keeps cloud, Kubernetes, edge, GitHub, and model-provider context close to the same workflow.
No. Clanker Cloud is a local-first AI Ops workspace for cost investigation, infrastructure context, and reviewed optimization plans. Dedicated FinOps platforms still win for finance workflows, allocation policy, and long-term reporting depth.
Cost investigation is read-first. Changes such as right-sizing, deletion, scheduling, or routing updates should be generated as reviewed plans and explicitly approved before apply.
The product is built for multi-cloud operations across AWS, GCP, Azure, Kubernetes, Cloudflare, Hetzner, DigitalOcean, Vercel, GitHub, and related local agent workflows.
Install Clanker Cloud, connect your providers, and start asking which resources are wasting money and what reviewed action comes next.