Skip to main content
Use Cases

What you can do with Clanker Cloud

From full-estate deep research scans to Kubernetes cluster exploration — pick a use case to see how it works.

Deep Research

Scan your entire estate in one pass

Deep Research fans out across every connected provider, runs parallel analysis with multiple AI models and specialised subagents, and returns prioritised findings — cost drivers, misconfigurations, bottlenecks, and resilience gaps — all grounded in your actual infrastructure.

Video Demo

See Deep Research in action

Watch a full walkthrough of Deep Research scanning a live multi-cloud environment, identifying findings across AWS, Kubernetes, and more, then drilling into each result.

Interactive Example

Explore example findings

Click through findings to see how Deep Research highlights affected resources, surfaces severity, and suggests concrete actions.

Deep Research complete — 5 findings across 6 resources
HTTPSessionsJobsQueriesWritesUploadsBackups
🌐api-gatewayAWS ALB / public ingress
⚙️app-serviceEKS pod / main API
🔄worker-poolEKS pod / async jobs
redis-cacheElastiCache / session store
🗄️primary-dbRDS Postgres / accounts
📦asset-bucketS3 / uploads + backups
Findings
How it works

One scan, full-stack visibility

1. Connect

Use your existing credentials

Link AWS, GCP, Azure, Kubernetes, Cloudflare, Hetzner, DigitalOcean, or GitHub — credentials stay on your machine.

2. Scan

Deep Research fans out across providers

Multiple AI models and specialised subagents analyze your infrastructure in parallel, covering cost, security, resilience, and topology.

3. Review

Get prioritised, evidence-backed findings

Each finding includes severity, affected resources, evidence sources, estimated cost impact, and a concrete action label.

4. Act

Drill into findings or ask follow-up questions

Ask about any finding to get deeper context, or export the full report as JSON or Markdown to share with your team.

What it finds

Coverage across five categories

Cost

Idle resources, untagged spend, cost spikes

Detect underutilised compute, orphaned storage, and provider concentration risks with estimated monthly savings.

Misconfiguration

Public databases, disabled backups, unencrypted data

Surface security misconfigurations that expose data or violate compliance before they become incidents.

Bottleneck

Topology chokepoints and region sprawl

Identify single points of failure in service graphs, cross-region latency risks, and scaling bottlenecks.

Resilience

Single-AZ deployments, missing replicas, degraded state

Flag services and databases running without redundancy, automatic failover, or health monitoring.

Kubernetes

K8s deployed resource overview and talk to cluster

Connect an existing kubeconfig, scan deployed resources across namespaces, and ask questions about the cluster in plain English — pod status, service topology, recent events, resource utilisation, and more.

Try it

Run Deep Research on your infrastructure

Install the desktop app, connect your providers, and run your first deep research scan in under two minutes.