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add docs and docker config for local and remote app telemetry collection and display
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docs/Telemetry.md
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docs/Telemetry.md
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# Telemetry
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[example metrics emitted by Kava application](./example-prometheus-metrics.txt)
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## Enabling Kava Metric Telemetry
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To enable the kava app to emit telemetry during operation, update the relevant config values to enable metrics:
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`config.toml`
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```toml
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[instrumentation]
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# When true, Prometheus metrics are served under /metrics on
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# PrometheusListenAddr.
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# Check out the documentation for the list of available metrics.
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prometheus = true
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# Address to listen for Prometheus collector(s) connections
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prometheus_listen_addr = ":8888"
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```
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`app.toml`
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```toml
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[telemetry]
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# Prefixed with keys to separate services.
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service-name = ""
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# Enabled enables the application telemetry functionality. When enabled,
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# an in-memory sink is also enabled by default. Operators may also enabled
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# other sinks such as Prometheus.
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enabled = true
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```
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Then restart the service with the updated settings
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## Running local prometheus collector and grafana services
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To collect app metrics and visualize them locally, you can run the prometheus collector and grafana services with docker compose from the repo root directory
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```bash
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docker compose -f prometheus.docker-compose.yml
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```
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Navigate to localhost:3000 to view the grafana unix
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Login with `admin` as the username and `admin` as the password
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Hook up grafana to the local prometheus collector by navigating to `http://localhost:3000/connections/datasources/new`, selecting prometheus, entering `http://prometheus:9090` for the url, and clicking `Save & test` at the bottom of the screen
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See [grafana docs](https://grafana.com/docs/grafana/latest/dashboards/) for information on how to construct queries and build dashboards
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### Collecting from local host
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Update [prometheus config](../prometheus.yml) to collect metrics from your local source
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```yaml
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metrics_path: /
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static_configs:
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- targets:
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- localhost:8888
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```
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### Collecting from remote host
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Update the kava config on the host and restart using the instructions from `Enabling Kava Metric Emission`
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Install [ngrok](https://ngrok.com/download) on the remote host
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Run ngrok on the remote host to forward the prometheus metric port
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```bash
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ngrok http 8888
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```
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```yaml
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scrape_configs:
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- job_name: proxy
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scheme: https
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metrics_path: /
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static_configs:
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- targets:
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- 4efb-18-207-102-158.ngrok-free.app
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```
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docs/example-prometheus-metrics.txt
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docs/example-prometheus-metrics.txt
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prometheus.docker-compose.yml
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prometheus.docker-compose.yml
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version: '3.8'
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networks:
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monitoring:
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driver: bridge
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volumes:
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prometheus_data: {}
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services:
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grafana:
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image: grafana/grafana-enterprise
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container_name: grafana
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restart: unless-stopped
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ports:
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- "3000:3000"
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networks:
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- monitoring
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prometheus:
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image: prom/prometheus:latest
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container_name: prometheus
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restart: unless-stopped
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volumes:
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- ./prometheus.yml:/etc/prometheus/prometheus.yml
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- prometheus_data:/prometheus
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command:
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- '--config.file=/etc/prometheus/prometheus.yml'
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- '--storage.tsdb.path=/prometheus'
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- '--web.console.libraries=/etc/prometheus/console_libraries'
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- '--web.console.templates=/etc/prometheus/consoles'
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- '--web.enable-lifecycle'
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expose:
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- 9090
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networks:
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- monitoring
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10
prometheus.yml
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global:
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scrape_interval: 15s
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evaluation_interval: 15s
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scrape_configs:
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- job_name: proxy
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scheme: https
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metrics_path: /
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static_configs:
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- targets:
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- 4efb-18-207-102-158.ngrok-free.app
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