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//Cloud Costs

Catch cloud wastebefore it adds up.

Cost anomalies the moment they happen, broken down by provider, with idle resources, rightsizing and commitments handled automatically.

  • Anomalies

    Anomaly alerts

    Cost anomalies flagged the moment they occur, before they reach the invoice.

  • Visibility

    Provider breakdown

    Spend and trend across GCP, AWS, Azure, and OpenAI in one view.

  • Savings

    Savings recommendations

    Savings identified across every account, ready to apply in one click.

//Overview

What is cloud cost optimization?

Cloud cost optimization reduces cloud spend without hurting performance by finding anomalies, idle and oversized resources and missed commitment discounts, and acting on them continuously.

DataObserve Developer alerts on cost anomalies as they happen, breaks spend down by provider and Kubernetes workload, stops idle resources automatically, rightsizes clusters and manages reserved instances and savings plans, with chargeback and showback in FOCUS format.

//Reduce infrastructure waste

Understand, then cut, what's driving spend

  • AI-created cost perspectives

    Describe the view you need; the accounts, tags, and services are resolved for you.

  • Kubernetes cost attribution

    Cost down to individual pods and namespaces.

  • Chargeback and showback with FOCUS

    Internal billing by team and business unit, aligned to FOCUS.

  • AutoStopping for idle workloads

    Idle VMs and containers stopped and restarted on demand.

  • Automated RI and Savings Plans

    The full commitment lifecycle automated, including renewals.

  • Kubernetes cluster rightsizing

    Node autoscaling, spot orchestration, and bin packing.

//Explore more withDataObserve

More from Developer · Cost & Operations Management

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    Full visibility into cloud and AI spend, as the Cost Management Agent attributes, optimizes, and governs at the level of autonomy you choose.

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  • AI Cost Management

    Full visibility, optimization, and governance for every dollar of cloud and AI spend.

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  • AI Costs

    Spend captured at the token, request, and workflow level, tied to the agent, session, or business outcome that triggered it.

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  • Engineering Efficiency

    DORA metrics, developer productivity, and AI tool spend, tracked together.

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//Spend controls

Spend controls before overruns happen

  • Budget alerts before limits are hit

    Thresholds at 50%, 75%, 90%, and 100%, with forecasts of month-end spend.

  • Natural language policy enforcement

    Governance intent in plain English, enforced as cloud rules with automatic remediation.

  • Approval workflows and audit trails

    Provisioning routed through approvals, with audit reports on demand.

//FAQs

Cloud Costs: questions teams ask

  • What is Kubernetes cost attribution?

    It splits the cost of shared clusters across the namespaces, workloads and teams that use them, so each team sees its own spend.

  • What is the FOCUS specification?

    The FinOps Open Cost and Usage Specification is a common format for cloud billing data, so costs from different providers can be compared and reported together.

  • How are reserved instances managed?

    Commitments such as reserved instances and savings plans are bought and adjusted automatically based on actual usage.

  • When do budget alerts fire?

    At thresholds you set, such as 50%, 75%, 90% and 100% of budget, with a forecast of month-end spend.

// Designed for enterprises

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

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