OBJECTIVE 1. Monitor metrics services and data via prometheus

K1. Migrate all metrics services alerts from nagios.

K2. Evaluate loki (https://grafana.com/oss/loki/) for parsing metrics services logs

K3. Evaluate a thrends spotter component for Tor network data.

K4. Deploy a prometheus alert to identify spikes in metrics data.

K5. Document onionperf clients setup and how to monitor them.

K6. Identify issues in metrics data and monitor for data losses.

K7. Evaluate meaningful tracking of overloaded node on the Tor network

OBJECTIVE 2. Define an architecture for metrics data

K1. Reach consensus on tools for metrics data with all the interested parties

K2. Document agreed pipeline architecture and data schema

K3. Deploy a database for Tor network data

OBJECTIVE 3. Create analysis to support the performance and scalability project.

K1. Graph onion services perfclients performance in Shadow simulations compared to live onion DE and HK.

K2. Create CDFs graphs for Exits

K3. Create epoll CDF graphs

K4. Add more download size tests to tornettools

OBJECTIVE 4. Model relays behaviour (churn, relationships, ...)

K1. Document current data models

K2. Define a model for tor nodes history and status

K3. Come out with a schema for metrics data