cppla/serverstatus

云探针、多服务器探针、云监控、多服务器云监控,演示: https://tz.cloudcpp.com/

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Summary Information

Updated 15 minutes ago
Added to GitGenius on September 14th, 2026
Created on June 26th, 2018
Open Issues & Pull Requests: 4 (+0)
GitHub issues: Enabled
Number of forks: 926
Total Stargazers: 4,690 (+0)
Total Subscribers: 49 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.0 days
Mean response time: 105.7 days
90th percentile: 411.8 days
Tracked items: 37

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 373 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

ServerStatus is a lightweight server monitoring panel that tracks multiple nodes and cloud infrastructure status.

The tool addresses the need to monitor distributed server infrastructure by collecting resource utilization, network latency across multiple internet service providers, service availability, and SSL certificate expiration from client agents deployed on each monitored server. A central server aggregates this data and exposes it through a web dashboard and HTTP API. Clients report their status at configurable intervals over TCP, allowing real-time visibility into multi-node deployments. The system includes watchdog alerting capabilities and can perform three-network latency probing to measure connectivity across different providers.

Organizations running multiple servers or cloud instances should consider this tool if they need a self-hosted monitoring solution without external dependencies. It suits projects where operators want to track both infrastructure health and application-level service availability from a single dashboard. The tool provides HTTP API access for programmatic integration and supports web-based configuration management. An optional admin token controls access to management endpoints, while read-only access to the monitoring dashboard can be granted without authentication.

Development activity shows consistent maintenance with regular updates to both server and client components. The project maintains comprehensive documentation of configuration parameters and API endpoints, including OpenAPI 3.1 schema generation for integration with external tools. Docker Compose configurations are provided for simplified deployment of both server and client agents. The codebase handles environment variable configuration extensively, suggesting attention to containerized deployment scenarios and operational flexibility.