atoti-server-spring-boot-admin

v0.9.15 safe
3.0
Low Risk

Resources to enable Spring Boot Admin

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, or obfuscation detected. The main concern is the maintainer's single package history, but this alone does not suggest a supply-chain attack.

  • Low network, shell, and obfuscation risks
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no direct system command execution is taking place.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
  • Metadata: The maintainer has only one package, suggesting it may be a new or less active account.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.activeviam.com/products/atoti/python-sdk/0.9.15
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in atoti/atoti
  • Two distinct contributors found

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: activeviam.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository atoti/atoti appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ActiveViam" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with atoti-server-spring-boot-admin
Create a comprehensive monitoring dashboard for a fleet of microservices using Spring Boot and Python. Your task is to develop a mini-application that leverages the 'atoti-server-spring-boot-admin' package to monitor the health and performance of these services. This application will serve as a centralized hub where system administrators can track key metrics such as uptime, memory usage, CPU load, and error rates for each service instance.

### Step-by-Step Development Guide:
1. **Set Up Your Environment:** Begin by setting up your development environment with Python and Java installed. Ensure you have the necessary tools like Maven for building Java applications and pip for managing Python packages.
2. **Spring Boot Services Setup:** Create a few sample Spring Boot services that mimic real-world applications. Each service should have endpoints that return simulated data about its status (e.g., uptime, memory usage).
3. **Integrate Spring Boot Admin:** Use the 'atoti-server-spring-boot-admin' package to integrate Spring Boot Admin into one of your Spring Boot services. This service will act as the dashboard server, providing an interface for monitoring other services.
4. **Dashboard Customization:** Customize the Spring Boot Admin dashboard to display specific metrics that are relevant to your services. For example, you might want to create custom dashboards or widgets that show graphs of memory usage over time.
5. **API Integration:** Develop a simple Python script that queries the Spring Boot Admin API to fetch live metrics from the monitored services. Display these metrics in a human-readable format, such as printing them to the console or writing them to a file.
6. **Alerting System:** Implement a basic alerting system within your Python script that triggers notifications (e.g., via email or SMS) when certain thresholds are breached (e.g., if a service's uptime drops below a specified percentage).
7. **Testing and Deployment:** Test your application thoroughly to ensure all components work as expected. Deploy your Spring Boot services and the dashboard server to a staging environment before moving to production.

### Suggested Features:
- Real-time metric updates on the dashboard.
- Historical data storage for trend analysis.
- Customizable alerts based on different metrics.
- Support for multiple user roles with varying levels of access.
- Integration with external logging services for error tracking.

### Utilizing 'atoti-server-spring-boot-admin':
This package simplifies the integration of Spring Boot Admin into your application, allowing you to focus more on customizing the dashboard and less on plumbing. It provides essential resources and configurations needed to get started with monitoring Spring Boot applications efficiently.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!