Closed
Milestone
Metrics OKRs Q3-Q4 2022
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OBJECTIVE 1. Monitor metrics services and data via prometheus
- K1. Evaluate loki (https://grafana.com/oss/loki/) for parsing metrics services logs.
- K2. The trends spotter component should send an alert when a meaningful event is identified.
- K3. Identify 1/2 additional network metrics that should trigger an alert in prometheus
- K4. Identify issues in metrics data and monitor for data losses.
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OBJECTIVE 2. Define an architecture for metrics data
- K1. Deploy a database for Tor network data
- K2. Deploy a collector component to send data to the database
- K3. Deploy an API to query the DB.
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OBJECTIVE 3. Create analysis to support the performance and scalability project.
- K1. Deploy onionperf instances
- K2. Implement filters on onionperf data
- K3. Make visualization and analysis over onionperf measurements
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OBJECTIVE 4. Model behaviour (churn, relationships, ...)
- K1. Solve snowflakes users stats undercount problem
- K2. Improve how we show user count estimates on metrics.tpo
- K3. Define a model for tor nodes history and status
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