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description: Allocate cloud costs across your organization with Datadog Cloud Cost Management.
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aliases:
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- /cloud_cost_management/cost_allocation/
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further_reading:
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- link: "/cloud_cost_management/"
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tag: "Documentation"
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text: "Learn about Cloud Cost Management"
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---
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## Overview
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The Allocation section of Cloud Cost Management helps you understand and optimize your cloud spending by breaking down costs across different resources and organizational dimensions. Use these tools to allocate costs to specific teams, projects, or business units, track resource-level spending, and identify optimization opportunities.
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## Key features
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{{< whatsnext desc="This section includes the following topics:" >}}
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{{< nextlink href="/cloud_cost_management/allocation/container_cost_allocation" >}}<u>Container Cost Allocation</u>: Automatically allocate the costs of your cloud clusters to individual services and workloads. Use cost metrics enriched with tags from pods, nodes, containers, and tasks to visualize container workload cost in the context of your entire cloud bill.{{< /nextlink >}}
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{{< nextlink href="/cloud_cost_management/allocation/bigquery" >}}<u>BigQuery Cost Allocation</u>: Allocate BigQuery costs to individual queries, users, and projects to understand your data warehouse spending at a granular level. Track query performance costs, storage costs, and slot utilization across your organization.{{< /nextlink >}}
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{{< nextlink href="/cloud_cost_management/allocation/custom_allocation_rules" >}}<u>Custom Allocation Rules</u>: Split and assign shared costs to any available tags using custom rules. Choose from even split, custom percentage, proportional by spend, or dynamic by metric allocation methods to support accurate showback and chargeback across teams, projects, or environments.{{< /nextlink >}}
description: Detect, investigate, and monitor unexpected cost changes across your cloud infrastructure.
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further_reading:
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- link: "/cloud_cost_management/"
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tag: "Documentation"
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text: "Learn about Cloud Cost Management"
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---
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## Overview
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Cloud Cost Management can help you proactively detect and respond to unexpected cost changes before they become significant problems. Use these tools to automatically identify anomalies, set up custom alerts, and track costs in near real-time across AWS, Azure, and Google Cloud.
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## Key features
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{{< whatsnext desc="This section includes the following topics:" >}}
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{{< nextlink href="/cloud_cost_management/cost_changes/anomalies" >}}<u>Anomalies</u>: Automatically detect unusual cost patterns using machine learning. Get insights into what's driving changes with Watchdog Explains and share context with teams for faster resolution.{{< /nextlink >}}
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{{< nextlink href="/cloud_cost_management/cost_changes/monitors" >}}<u>Monitors</u>: Create custom alerts when costs exceed thresholds or change unexpectedly. Define specific conditions, filter by provider or tags, and integrate with notification channels like email, Slack, or PagerDuty.{{< /nextlink >}}
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{{< nextlink href="/cloud_cost_management/cost_changes/real_time_costs" >}}<u>Real-Time Costs</u>: Get near real-time estimates of Amazon EC2 costs updated every 5 minutes. React to cost changes within hours instead of days and track Kubernetes cluster costs in real time.{{< /nextlink >}}
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