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Cloud providers offer commitment-based discount programs, such as A billing discount for committing to use a specific instance configuration for a one- or three-year term. and Flexible cloud discount programs that provide lower prices in exchange for a commitment to a consistent amount of usage (measured in $/hour) over a term., to help you save on predictable usage. Datadog’s Commitment Programs feature helps you monitor, optimize, and maximize the value of these discounts across your cloud environments.
With Commitment Programs, you can:
Use Commitment Programs to understand and optimize your cloud commitments.
Review these Key Performance Indicators (KPIs) for your cloud providers and services:
On-demand hot-spots highlight areas with high on-demand costs, which may indicate opportunities to purchase additional commitments.
Use the Cost and Hours tabs to toggle between on-demand spend in dollars or usage in hours. Use the available filters to narrow results—filters vary based on the selected product.
The table columns correspond to the filters for the selected product, showing the dimensions that characterize the on-demand usage (such as region, instance family, or database engine), along with Coverage (percentage of usage covered by commitments) and On-Demand Cost (sorted in descending order to surface the highest-spend hot-spots first).
Commitments Inventory provides a detailed view of commitments active during the selected time frame, organized by commitment type. This includes commitments expiring soon (within 30 days) and commitments that have already expired at the time of viewing.
Use the Savings Plans and Reserved Instances tabs to switch between commitment types. Each tab shows:
Use the Only show Expiring checkbox to filter the table to commitments nearing their end date.
The table lists your active commitments. Columns vary depending on the product and commitment type, but common columns include:
| Column | Description |
|---|---|
| Savings Plan ARN or Reservation ARN | Unique identifier for the commitment. |
| Payment Model | Payment option (for example, No Upfront, Partial Upfront, All Upfront). |
| Term | Duration of the commitment (for example, 1 Year, 3 Years). |
| Type | The commitment type (for example, ComputeSavingsPlans). |
| Committed Spend/HR | Hourly spend committed under the plan. |
| End Date | Date the commitment expires. |
| Utilization | Percentage of the commitment used during the selected period. |
Use the Columns button to show or hide additional columns.
Least Used Savings Plans helps you identify which savings plans are generating the most waste. Use this section to determine when that waste occurs and take action to improve utilization.
Daily average unused Savings Plans: A bar chart showing the average daily cost of unused savings plan spend for each day of the week. Use this to spot patterns, such as higher waste on weekends when workloads may be lower.
Savings Plans with most waste: A table listing underutilized savings plans, sorted by total waste. Columns include:
Hourly unused committed spend percentage: A heat map showing the percentage of committed spend that went unused, broken down by hour (UTC) and day of week. Darker cells indicate higher unused percentages, making it possible to identify specific time windows where commitments are consistently underused.
Scenario: Your Effective Savings Rate (ESR) is lower than expected, even though your coverage is high.
How to use commitment programs:
Scenario: Several Reserved Instances are expiring soon, and you want to avoid unexpected on-demand charges.
How to use commitment programs:
Scenario: Your cloud costs show consistently high on-demand usage for a particular service or region.
How to use commitment programs:
Scenario: You have underutilized savings plans and high on-demand costs running in parallel.
How to use commitment programs:
Additional helpful documentation, links, and articles:
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