3 results found
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Feature Suggestion: Cost Anomaly Detection for Dips
Currently, the Cost Anomaly feature is designed to capture spikes in spend but does not monitor for dips. Similarly, the Alerts feature works on defined thresholds, which is more suitable for catching increases than decreases.
It would be valuable to have a feature that can detect sudden drops in cost as well, since unexpected decreases can also indicate issues such as:
Disabled services or resources that should be running
Failures in data pipelines or workloads
Gaps in logging/monitoring or data ingestion
Sudden deletion in data
Adding anomaly detection for dips would provide a more complete view of cost changes and…
2 votes -
Supporting Threads functionality for DoiT Anomaly detection
Allow DoiT Anomaly detection users to create and manage threads for the the actions required to triage and resolve anomalies.
2 votes -
Ability to detect anomaly on monthly cost granularity
If there is a gradual increase in cost on daly basis such increase will not be considered as an anomaly as the data would look like an expected increase however if we compare this cost over month to month the increase can be significant. Hence it is worth generating anomalies on such cost spikes on Monthly granularity.
1 vote
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