- Use Cases
- Anomaly Management
- Identify anomalous daily spending by subaccount
Identify anomalous daily spending by subaccount
This query uses the Provider column. Provider is deprecated in v1.3 and will be removed in v1.4.
FOCUS Versions
v1.0
v1.1
v1.2
Context
It is important for FinOps Practitioners to track daily spend from various angles to ensure any anomalous cost trends are easily detected. Purchases can often cause false positives, for this reason, we want to monitor cost trends with up-front payments amortized. Graphing the data by day in a multiline chart can often help find the outliers.
FOCUS SQL Query
SELECT
DATE(ChargePeriodStart) AS Day,
ProviderName,
SubAccountId,
SUM(EffectiveCost) AS DailyEffectiveCost
FROM focus_data_table
WHERE ChargePeriodStart >= ? and ChargePeriodEnd < ?
GROUP BY
DATE(ChargePeriodStart) AS StartDay,
ProviderName,
SubAccountId
FOCUS Datasets
FOCUS Columns
Related Capabilities
Related Personas
Related KPIs
Anomaly-Detected Cost Avoidance
Measures amount of cost avoidance as a result of identifying and correcting an anomaly.
Total Unpredicted Variance of Spend
Measures the unpredicted variance of cost associated with CSP Cloud usage recorded over a given period of time.