System requirements

Functional:

Data Collection:
- Ability to collect metrics from various sources (e.g., servers, applications, databases, etc.).
- Support for different data formats (e.g., JSON, XML, etc.).
- Continuous data ingestion process.
Data Storage:
- A persistent storage solution for historical metrics.
- Efficient indexing for quick retrieval of metrics data.
Data Analysis:
- Real-time processing of incoming metrics to detect thresholds and anomalies.
- Support for statistical analysis and trend detection over time.
Alerting Mechanism:
- Configurable alerts based on threshold values for various metrics (e.g., CPU usage > 80%).
- Anomaly detection alerts that identify unusual patterns in the data.
- Different alert levels (e.g., warning, critical) to prioritize responses.
Dashboard & Visualization:
- A user-friendly dashboard for visualizing metrics in real-time.
- Graphical representation of data (e.g., charts, graphs).
- Support for custom queries to visualize specific metrics.
Notification System:
- Ability to notify stakeholders via multiple channels (e.g., email, SMS, webhooks).
- Configurable notification settings based on user preferences.
User Management:
- Role-based access control for different user roles (e.g., admin, read-only).
- User authentication and authorization mechanisms.
Integration Capabilities:
- APIs for integrating with other systems (e.g., incident management systems).
- Support for exporting metrics data.

Non-Functional:

Performance:
- The system should handle a minimum of 10,000 metrics per second with less than a 2-second delay for collecting and storing metrics.
- Dashboard queries should return results in under 1 second for standard queries.
Scalability:
- The system must be able to scale horizontally to support increasing data loads and more metrics sources without significant re-architecting.
Availability:
- The system should have an uptime of 99.9%, ensuring that metrics can be collected and alerts can be issued at all times.
- Implement risk mitigation strategies for high-traffic periods to avoid system overload.
Reliability:
- Data integrity must be ensured, with no loss of metrics during transmission or storage.
- The system should include redundancy for critical components (e.g., database replication).
Security:
- Data encryption at rest and in transit to safeguard sensitive information.
- Strong authentication and authorization mechanisms for user access.
Usability:
- The interface should be intuitive and user-friendly to minimize the learning curve for new users.
- Documentation should be available to explain key functionalities and setup processes.
Maintainability:
- Code structure should follow best practices for simplicity and readability.
- The system should include logging for diagnosing issues and keeping track of system performance.
Interoperability:
- The system should be able to integrate with third-party tools and services (e.g., alerting tools, cloud providers) easily.
- Compliant with standard data formats (like Prometheus format, OpenMetrics) for metrics sharing.

Submissions

Displaying Solutions with Scores Ranging from 1 to 10

Submissions

Displaying Solutions with Scores Ranging from 1 to 10