无需 Prometheus 和 Grafana 的轻量级 Spring Boot 监控
Lightweight Spring Boot Monitoring Without Prometheus and Grafana

原始链接: https://pvrlabs.xyz/articles/lightweight-spring-boot-monitoring.html

对于在 VPS 上运行少量 Spring Boot 应用的开发者来说,Prometheus 和 Grafana 等企业级可观测性工具往往显得有些大材小用。**StatLite** 提供了一种轻量且专注的替代方案,它能将标准的 Spring Boot Actuator 数据转化为简洁、实用的仪表盘。 StatLite 是一个单一的 Go 二进制文件,它将历史数据存储在 SQLite 中,无需复杂的架构或自定义探针。它通过轮询你已暴露的 Actuator 端点,提供核心的运维洞察,例如健康状态、请求延迟、错误率、内存使用情况和运行时间。 **为何选择 StatLite?** * **简洁性:** 无依赖安装,配置简单。 * **高效性:** 非常适合小规模部署,无需承担庞大监控栈的开销。 * **灵活性:** 若未来项目需求增长,它也不会妨碍你迁移到更大的监控平台。 入门非常简单:只需暴露你的 Actuator 端点,下载二进制文件,并将其指向你的应用程序即可。对于那些既需要监控服务性能,又不希望承担完整监控生态系统运维负担的开发者来说,StatLite 是一个理想的解决方案。

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原文

Running one Spring Boot application or a handful of them on a VPS still calls for basic operational visibility. You need to know whether an application is reachable, whether errors are rising, and whether it restarted. You may not need a complete monitoring platform to answer those questions.

Spring Boot Actuator already exposes much of that information. StatLite turns it into a focused dashboard for health, requests, errors, latency, memory, uptime, and restarts. It runs as one Go binary and stores its history in SQLite.

StatLite dashboard showing Spring Boot health, request activity, latency, memory, CPU, uptime, and restarts

Monitor Spring Boot without operating a full monitoring stack.

Why the usual options can be more than you need

Actuator gives Spring Boot applications useful health and Micrometer metrics endpoints. They are excellent for integration, but repeatedly opening JSON endpoints is not a convenient everyday dashboard.

Spring Boot Admin adds broader application-administration features. Prometheus and Grafana are strong choices when you need a larger monitoring system, flexible queries, or shared dashboards across an estate.

For a few services on one VPS, a narrower dashboard can be enough. StatLite reads the Actuator data you already have and shows the operational signals most useful during routine checks.

The questions a small deployment needs answered

  • Is the application reachable and healthy?
  • Are errors increasing?
  • Are requests slowing down?
  • Is memory usage growing?
  • Did the application restart?
  • Are related services, such as a database, reachable?

Quick comparison

ToolOperational complexityBest fit
Raw Actuator endpointsLowOccasional manual checks
Spring Boot AdminMediumApplication administration and monitoring
Prometheus and GrafanaHighLarger deployments and advanced observability
StatLiteVery lowA few Spring Boot services on a small server

These tools can also coexist. Choosing StatLite for a focused dashboard today does not prevent adopting Prometheus and Grafana later if your requirements grow.

Set up StatLite in a few minutes

The following example uses the runnable Spring Actuator demo included with StatLite.

1. Expose health and metrics from Spring Boot

Add the needed Actuator endpoint exposure to your application configuration. Keep Actuator reachable only from trusted networks and add authentication where your deployment requires it.

management:
  endpoints:
    web:
      exposure:
        include: health,metrics
  endpoint:
    health:
      show-details: always

For the included demo, start the application from examples/spring-actuator-demo:

mvn spring-boot:run

2. Install StatLite

Use the installation method for your platform in the StatLite installation guide. It covers the release installer, Homebrew, and what each method does and does not set up for you.

Developers who prefer to build from source can clone the repository and build the binary:

git clone https://github.com/PVRLabs/statlite.git
cd statlite
go build -o statlite ./cmd/statlite

3. Add one target configuration

server:
  listen: "127.0.0.1:9090"

storage:
  sqlite_path: "./statlite.sqlite"

polling:
  interval: "10s"
  timeout: "5s"

targets:
  - name: "spring-demo"
    actuator_base_url: "http://127.0.0.1:8080/actuator"

listen keeps the dashboard local by default. sqlite_path is the file used for dashboard history. actuator_base_url points at the application’s Actuator base URL. For Basic Auth, multiple targets, retention, and production security details, see the configuration documentation.

4. Open the dashboard

./statlite --config ./statlite.yaml

Open http://127.0.0.1:9090 in a browser. StatLite polls on the configured interval, so wait for the next poll after creating traffic or restarting the application.

If you are following the included demo, generate traffic in a second terminal from the StatLite repository root:

./examples/spring-actuator-demo/generate-traffic.sh

The script sends successful, database, and slow requests, plus 400, 404, and 500 responses to the demo application so the request and error charts have activity to show. Wait for the next StatLite poll after running it.

See the dashboard updating? If StatLite fits your setup, star the repository to bookmark it and help more Spring Boot developers find it.

Why StatLite stays small

  • A single Go binary
  • SQLite storage
  • No monitoring agent
  • No custom application instrumentation beyond Actuator
  • Suitable for systemd deployment
  • Multiple Spring Boot targets in one configuration

It is intentionally Actuator-first. You enable or expose Actuator as needed; StatLite does not remove that setup step.

When not to use StatLite

Use a broader observability platform when you need many services or hosts, long retention, advanced metric queries, alert routing, distributed tracing, centralized logs, or organization-wide dashboards.

StatLite is not a replacement for enterprise observability. It is a focused option when the operational job is to monitor a few Spring Boot services without operating a full Prometheus and Grafana stack.

Monitor your first Spring Boot application with StatLite.

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