Cost governance built for engineering teams.
Connect cloud, SaaS, and LLM usage signals, then review spend, waste, forecasts, anomalies, and recommendations with operational context.
Full-Stack Cloud Visibility
Aggregate AWS, GCP, and Azure spend into a single source of truth. Map exact instance costs to specific engineering teams without manual tagging.
Recommendation Context
Give engineers the usage evidence, estimated impact, and review notes needed to decide what to optimize next.
Anomaly Detection
Real-time ML audits detect spend spikes and zombie resources within 5 minutes of occurrence.
K8s Unit Costing
Break down cluster spend by namespace, pod, and service. Precise resource attribution at scale.
Smart Scheduling
Identify idle dev and staging resources so your team can schedule shutdown windows with confidence.
Stop paying for resources nobody owns.
Start with demo data, then connect one provider to see cloud, SaaS, and LLM cost signals with the context engineers need to act.
Not just data.
Actionable context.
Most cloud costing tools stop at charts. OggyCloud pairs spend movement with inventory and usage context so teams can decide what to clean up, resize, or investigate next.
Zero-Agent Installation
No code changes required. Connect via read-only IAM.
99.9% Prediction Accuracy
ML models trained on billions of cloud event patterns.
Multi-Region Support
Audit global infrastructure from a single dashboard.
From scattered provider data to one review queue.
OggyCloud keeps the flow simple: connect the source, normalize the signal, add ownership context, then turn cost movement into a reviewable action.
Connect
Use read-only roles, scoped tokens, and managed LLM keys for safe provider access.
Normalize
Unify spend, inventory, tokens, latency, and usage fields across every platform.
Attribute
Map cost to accounts, projects, teams, features, environments, models, and keys.
Act
Review recommendations with evidence, impact, owner, and status in one queue.
Governance controls that do not slow engineers down.
Teams can inspect cost and usage safely without giving every developer raw provider credentials or dumping sensitive prompts into logs by default.
Read-only provider access
Prefer scoped roles and tokens so OggyCloud can inspect usage without modifying infrastructure.
Managed LLM keys
Issue internal keys by team, workflow, or environment while keeping provider secrets centralized.
Prompt logging controls
Capture metadata by default and enable prompt or response samples only where policy allows.
Evidence-based reviews
Every recommendation includes usage context, estimated savings, and an owner-ready action path.
See your first cost signals in minutes.
Start with demo data, connect one provider, then expand OggyCloud across your cloud, SaaS, and AI stack.