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Machines on-call for humans
Machines on-call for humans
Use production context to discover hidden opportunities to right-size your infrastructure and cut costs
Run your infrastructure with production and business context
Searches and inventories resources across your infrastructure
Queries metrics to understand actual resource consumption vs allocated capacity
Analyzes logs, metrics, and traces to find performance bottlenecks and waste
Reviews infrastructure-as-code and configuration to understand provisioning decisions
Compares usage patterns over time to inform right-sizing decisions
Searches and inventories resources across your infrastructure
Queries metrics to understand actual resource consumption vs allocated capacity
Analyzes logs, metrics, and traces to find performance bottlenecks and waste
Reviews infrastructure-as-code and configuration to understand provisioning decisions
Compares usage patterns over time to inform right-sizing decisions
Compare actual usage against configured resources to identify over-provisioned workloads, idle infrastructure, or storage inefficiencies to optimize confidently.
Align real CPU and memory usage with allocations to cut waste, prevent resource issues, and uncover consolidation opportunities
Get a clear inventory of cloud resources, spotlight idle and oversized assets, and trace ownership so cleanups feel safe
Surface large Kubernetes volumes and S3 buckets so you can target storage hotspots with lifecycle policies and smarter tiers
Brings production expertise to your engineering workflows. Operates tools like an expert, investigates across systems, and evolves with every interaction.
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