Canvas Chat Agent
Railway has introduced a conversational AI agent that lets developers interact with their infrastructure through natural language. Available first in Priority Boarding, the agent can stage changes to environments, report live status, debug failing deploys, diagnose application issues, and provide recommendations for Railway Functions. Users can access it at dev.new or via the chat icon in existing projects after enabling the feature flag.
Postgres Metrics and Observability
Postgres databases on Railway now offer dedicated metrics views including connection breakdowns (active, idle, idle in transaction), cache hit ratios, and table-level statistics. The standout feature is the Query Statistics panel, which surfaces expensive queries with call counts, rows returned, and timing percentiles—helping developers identify performance bottlenecks without external tools.
Network Flow Visualization
The canvas now displays live network traffic between services as animated connections, with line thickness indicating throughput. Network flows show layer 4 data aggregated every 5 seconds, including traffic source, destination, speed, and packet loss. The new Network Flow Logs tab provides detailed protocol, address, volume, latency, and status information for each service.
Additional Updates
- CLI Telemetry: Railway shipped opt-in telemetry in its CLI to improve developer experience. No source code or environment variables are collected. Developers can opt out with
DO_NOT_TRACK=1orRAILWAY_NO_TELEMETRY=1. - API Token Visibility: Developers can now view the scope level for API tokens to quickly understand access permissions.