Cost anomaly detection, rightsizing, forecasting and allocation that respect reliability targets.
Talk to a FinOps AIOps Specialist
Each service can be taken alone. They share telemetry, policy and runbooks when combined.
Detect abnormal spend early and trigger governed cost-control workflows.
Example scenario
Inject a synthetic spend spike and show detection, attribution and a low-risk guardrail.
Tune CPU and memory requests, limits and replicas from real utilization while protecting SLOs.
Example scenario
Analyze an over-provisioned workload, apply a safe change and compare efficiency.
Forecast stable usage and model commitment scenarios with risk buffers.
Example scenario
Replay synthetic long-term usage and compare commitment scenarios.
Allocate shared cost and calculate cost per service, customer, transaction or team.
Example scenario
Allocate a synthetic bill and show unit economics plus unallocated-spend warnings.
Balance cost, performance, utilization and sustainability signals within SLO limits.
Example scenario
Evaluate a batch workload across regions and times and show the trade-offs.
Every service is built as a local-first lab, then extended to your private cloud and to AWS, Azure or GCP.
Ingestion health, processing latency, decisions, automation success and failure, overrides and false positives where measurable.
Validated, allowlisted actions with approval rules and least-privilege identities.
Healthy, false-positive, policy-blocked, automation-failure, rollback and telemetry-source-failure cases, all exercised.
Retained evidence for every decision, a short demo script, and setup, troubleshooting and cleanup documentation.
Rules every AIOps action follows, in every track.
AI output never goes straight to a shell, cloud API or cluster. It selects from validated runbooks.
Disruptive actions wait for a person. Low-risk, reversible steps can run on their own once you agree the rule.
Every action is followed by a health check, with rollback or compensation when the check fails.
Signals, scores, model or rule versions, approvals and results are retained and reviewable.
Adapted to the tools you already run.
Combine tracks to share telemetry, policy and runbooks.
Tell us what you run and where operations hurt most. We will suggest where to begin.
Talk to an AIOps Specialist