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Open-Source DevOps · tianshiyeben

wgcloud

WGCLOUD is a Java-based distributed monitoring system for Linux, Windows, and Unix infrastructure. It provides agent-based metric collection (CPU, memory, disk, network, GPU, processes, containers) with centralized server-side aggregation, dashboards, alerting, and web SSH access.

Source: GitHub — github.com/tianshiyeben/wgcloud
5.2k
GitHub stars
906
Forks
Java
Primary language
Apache-2.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositorytianshiyeben/wgcloud
Ownertianshiyeben
Primary languageJava
LicenseApache-2.0 — OSI-approved
Stars5.2k
Forks906
Open issues45
Latest releasev3.6.8 (2026-05-31)
Last updated2026-05-31
Sourcehttps://github.com/tianshiyeben/wgcloud

What wgcloud is

SpringBoot microservices architecture using OSHI for host metrics collection. Server-agent model with ~2-minute default reporting intervals; supports MySQL, PostgreSQL, Oracle backends. Covers system monitoring, application/service endpoints, Docker/Kubernetes, SNMP, and API-based alerting (email, DingTalk, WeChat, SMS).

Quickstart

Get the wgcloud source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/tianshiyeben/wgcloud.gitcd wgcloud# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Multi-server Linux/Windows infrastructure monitoring

Designed for teams managing dozens to thousands of hosts across heterogeneous platforms (Linux, Windows, macOS, Unix, ARM). Lightweight agents and centralized server reduce operational complexity compared to agent-heavy stacks.

Container and orchestration visibility

Native Docker container monitoring and Kubernetes support; useful for DevOps pipelines needing distributed observability without complex sidecar injection or heavyweight agents.

Rapid deployment in resource-constrained environments

Marketed for minimal learning curve and template-free setup. Suitable for smaller organizations or teams lacking dedicated SRE/monitoring engineers seeking quick time-to-value.

Implementation considerations

  • Requires JDK 1.8 or JDK 11; MySQL/PostgreSQL/Oracle backend setup mandatory. Sql script import (wgcloud.sql) is one-time config.
  • Agent deployment model: copy jar + bin scripts to each monitored host; no package manager integration documented (RPM, DEB, Helm).
  • Dashboard and alerting rules configured via web UI; no infrastructure-as-code/YAML export mentioned. Manual configuration may not scale.
  • Web SSH (bastion) feature adds operational surface—requires network isolation review if exposed to untrusted networks.
  • Default 2-minute collection interval; customizable but impact on storage and query performance unstated.

When to avoid it — and what to weigh

  • Enterprise audit/compliance requirements — README emphasizes commercial version (closed-source) for 'security' and stability in production. Open-source version security posture is unstated. Requires security review before regulated/sensitive deployments.
  • Complex metric transformation or PromQL dependency — While Prometheus-compatible topics are listed, integration depth is unclear. Teams heavily invested in Prometheus ecosystem may find gaps. No benchmark data provided.
  • Exclusive cloud-native Kubernetes workloads — Designed as agent-based host monitoring with K8s support; not a Kubernetes-first observability platform. Helm charts, operator maturity, and daemonset patterns not documented.
  • Extreme scale (10k+ nodes) or mission-critical SLA monitoring — No performance benchmarks, scalability limits, or HA/replication details provided. Commercial version claims 'better performance' but evidence unavailable in open-source repo.

License & commercial use

Apache License 2.0 (Apache-2.0): permissive OSI-approved license permitting commercial use, modification, and distribution with attribution and liability disclaimer.

Apache 2.0 permits commercial use of the open-source version. However, README states commercial version (closed-source, available on wgstart.com) is 'free but not open-source' and recommended for production due to 'better security, performance, stability.' The distinction and support terms for commercial vs. open-source are unclear. Verify licensing and support obligations with vendor before production deployment.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityClear
Deployment complexityModerate
DEV.co fitGood
Assessment confidenceMedium
Security considerations

No explicit threat model, CVE history, or security audit disclosure provided. Web SSH feature adds remote access risk; network segmentation required. Agent-to-server communication over HTTP (diagram notes http protocol) may lack encryption—review TLS availability. Commercial version claims superior 'security' but evidence unavailable. MySQL/PostgreSQL backend credentials management not detailed. Recommend security code review and penetration testing before sensitive/regulated deployments.

Alternatives to consider

Prometheus + Grafana + Alertmanager

Industry-standard open-source stack with mature ecosystem, extensive integrations, and community. Steeper learning curve but greater flexibility and vendor independence.

Zabbix

Established enterprise monitoring platform with agent/agentless modes, robust HA, and compliance features. Heavier resource footprint but longer track record in regulated environments.

Datadog / New Relic (SaaS)

Fully managed observability with automatic agent updates, built-in HA, and compliance certifications. Higher cost but eliminates infrastructure and security operational burden.

Software development agency

Build on wgcloud with DEV.co software developers

WGCLOUD offers a practical agent-based alternative for teams seeking rapid deployment across mixed OS environments. Evaluate the open-source version for fit, perform security review, and consult vendor on production-readiness and support. Contact Devco for custom deployment, integration, or hardening assistance.

Talk to DEV.co

Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

wgcloud FAQ

Can I use the open-source version in production?
Technically yes (Apache 2.0 permits it), but README discourages it, recommending closed-source commercial version for 'security, performance, stability.' Evaluate your risk tolerance and perform security review before production use.
Does WGCLOUD support Kubernetes monitoring?
Yes, K8S is listed in features. However, implementation depth (daemonsets, operators, Helm charts, node/pod/service metrics) is not detailed in the README. Requires hands-on testing or vendor consultation.
What databases are supported?
MySQL 5.5+, MariaDB, PostgreSQL, and Oracle. Schema is provided (wgcloud.sql) but multi-database support maturity unknown.
How do I integrate WGCLOUD with Prometheus or Grafana?
Topics mention 'prometheus' and 'grafana-dashboard' but specifics are absent. Likely via metrics export or Grafana data source plugin, but APIs and examples not visible. Requires vendor documentation or code review.

Software developers & web developers for hire

DEV.co helps companies turn open-source tools like wgcloud into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source devops stack.

Ready to Deploy Lightweight Infrastructure Monitoring?

WGCLOUD offers a practical agent-based alternative for teams seeking rapid deployment across mixed OS environments. Evaluate the open-source version for fit, perform security review, and consult vendor on production-readiness and support. Contact Devco for custom deployment, integration, or hardening assistance.