Accessing Outline Server Performance Metrics
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Outline provides detailed performance metrics through
Prometheus, allowing you to gain deeper insights into
your server's usage and health. This guide will walk you through the process of
retrieving and viewing these metrics.
Important Note: This guide assumes you have a basic understanding of
Prometheus and PromQL. If you're new to Prometheus, consider exploring its
documentation and tutorials before diving into Outline's metrics.
Prerequisites
Outline server with Prometheus enabled: Ensure that your Outline server
has Prometheus metrics enabled. (This is usually the default configuration).
SSH access to your server: You'll need SSH access to forward the
Prometheus port.
Instructions
Forward Prometheus Port
Connect to your server using SSH and forward port 9090:
ssh root@your_server_ip -L 9090:localhost:9090
Access Prometheus Web Interface
Open your web browser and navigate to: http://localhost:9090/graph
Query Prometheus Metrics
Use PromQL queries to retrieve the specific metrics you're interested in.
Example PromQL Queries
Usage
Data Bytes (by access key, protocol, and direction):
increase(shadowsocks_data_bytes[1d])
Data Bytes (aggregated by access key):
sum(increase(shadowsocks_data_bytes[1d])) by (access_key)
Data Bytes (for data limits calculation):
sum(increase(shadowsocks_data_bytes{dir=~"c<p|p>t"}[30d])) by (access_key)
Data Bytes (by location, protocol, and direction):
increase(shadowsocks_data_bytes_per_location[1d])
Active Access Keys
sum(max(max_over_time(shadowsocks_data_bytes{access_key!=""} [1h])) by (access_key) > bool 0)
TCP Connections
TCP Connections (by access key, location, and status):
increase(shadowsocks_tcp_connections_closed[1d])
TCP Connections (by location):
increase(shadowsocks_tcp_connections_opened[1d])
UDP
UDP Packets (by location and status):
increase(shadowsocks_udp_packets_from_client_per_location[1d])
UDP Associations (no breakdown):
increase(shadowsocks_udp_nat_entries_added[1d])
Prometheus:
prometheus_build_info
outline-ss-server:
shadowsocks_build_info
Node.js:
nodejs_version_info
The complete list of available metrics can be found in the outline-ss-server
source code.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-12-05 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-12-05 UTC."],[[["\u003cp\u003eOutline provides detailed performance metrics via Prometheus, offering insights into server usage and health.\u003c/p\u003e\n"],["\u003cp\u003eAccessing these metrics requires an Outline server with Prometheus enabled and SSH access to forward port 9090.\u003c/p\u003e\n"],["\u003cp\u003eYou can use PromQL queries to retrieve specific metrics, such as data bytes, active access keys, TCP connections, and UDP packets.\u003c/p\u003e\n"],["\u003cp\u003ePerformance metrics are also available for CPU usage and memory by process.\u003c/p\u003e\n"],["\u003cp\u003eBuild information for Prometheus, outline-ss-server, and Node.js are available as well, providing software versioning.\u003c/p\u003e\n"]]],["Performance metrics are accessed via Prometheus, requiring an Outline server with Prometheus enabled and SSH access. Port 9090 is forwarded via SSH to view metrics in a web browser at `http://localhost:9090/graph`. PromQL queries retrieve metrics like data bytes, active access keys, TCP connections, UDP packets/associations, and CPU/memory usage. Build information for Prometheus, `outline-ss-server`, and Node.js are also available. The source code provides a complete metrics list.\n"],null,["# Accessing Outline Server Performance Metrics\n\nOutline provides detailed performance metrics through\n[Prometheus](https://prometheus.io/), allowing you to gain deeper insights into\nyour server's usage and health. This guide will walk you through the process of\nretrieving and viewing these metrics.\n\n**Important Note:** This guide assumes you have a basic understanding of\nPrometheus and PromQL. If you're new to Prometheus, consider exploring its\ndocumentation and tutorials before diving into Outline's metrics.\n\nPrerequisites\n-------------\n\n- **Outline server with Prometheus enabled**: Ensure that your Outline server\n has Prometheus metrics enabled. (This is usually the default configuration).\n\n- **SSH access to your server**: You'll need SSH access to forward the\n Prometheus port.\n\nInstructions\n------------\n\n1. **Forward Prometheus Port**\n\n Connect to your server using SSH and forward port 9090: \n\n ssh root@your_server_ip -L 9090:localhost:9090\n\n2. **Access Prometheus Web Interface**\n\n Open your web browser and navigate to: \u003chttp://localhost:9090/graph\u003e\n Query Prometheus Metrics\n3. **Use PromQL queries to retrieve the specific metrics you're interested in.**\n\n### Example PromQL Queries\n\n#### Usage\n\n- **Data Bytes (by access key, protocol, and direction):**\n\n `increase(shadowsocks_data_bytes[1d])`\n- **Data Bytes (aggregated by access key):**\n\n `sum(increase(shadowsocks_data_bytes[1d])) by (access_key)`\n- **Data Bytes (for data limits calculation):**\n\n `sum(increase(shadowsocks_data_bytes{dir=~\"c\u003cp|p\u003et\"}[30d])) by (access_key)`\n- **Data Bytes (by location, protocol, and direction):**\n\n `increase(shadowsocks_data_bytes_per_location[1d])`\n\n#### Active Access Keys\n\n`sum(max(max_over_time(shadowsocks_data_bytes{access_key!=\"\"} [1h])) by (access_key) \u003e bool 0)`\n\n#### TCP Connections\n\n- **TCP Connections (by access key, location, and status):**\n\n `increase(shadowsocks_tcp_connections_closed[1d])`\n- **TCP Connections (by location):**\n\n `increase(shadowsocks_tcp_connections_opened[1d])`\n\n#### UDP\n\n- **UDP Packets (by location and status):**\n\n `increase(shadowsocks_udp_packets_from_client_per_location[1d])`\n- **UDP Associations (no breakdown):**\n\n `increase(shadowsocks_udp_nat_entries_added[1d])`\n\n#### Performance\n\n- **CPU Usage (by process):**\n\n `rate(process_cpu_seconds_total[10m])`\n- **Memory (by process):**\n\n `process_virtual_memory_bytes`\n\n#### Build Information\n\n- **Prometheus:**\n\n `prometheus_build_info`\n- **outline-ss-server:**\n\n `shadowsocks_build_info`\n- **Node.js:**\n\n `nodejs_version_info`\n\nThe complete list of available metrics can be found in the `outline-ss-server`\n[source code](https://github.com/Jigsaw-Code/outline-ss-server/blob/master/cmd/outline-ss-server/metrics.go)."]]