Monitoring Your Services
This document provides comprehensive information on how to monitor the health, performance, and usage of your services using our platform's built-in monitoring tools and best practices.
Overview
Effective monitoring is crucial for ensuring the reliability and optimal performance of your applications. Our platform offers a suite of tools designed to give you deep insights into your system's behavior, allowing you to proactively identify and resolve issues before they impact your users.
Key Monitoring Metrics
We recommend tracking the following key metrics:
- Uptime/Availability: The percentage of time your service is operational and accessible.
- Response Time: The average time it takes for your service to respond to requests.
- Error Rate: The frequency of errors encountered by your service (e.g., HTTP 5xx errors).
- Resource Utilization: CPU, memory, disk I/O, and network bandwidth consumption.
- Request Throughput: The number of requests your service is handling per unit of time.
- Latency: The time delay in data transfer from source to destination.
Using the Monitoring Dashboard
Navigate to the "Monitoring" section in your dashboard to access the following features:
- Real-time Metrics: View live data for key performance indicators.
- Historical Data: Analyze trends and performance over time with customizable date ranges.
- Customizable Charts: Create and save your own visualizations by selecting specific metrics and services.
- Alerting: Set up thresholds and notifications for critical metrics.
Setting Up Alerts
To configure alerts:
- Go to the "Alerts" tab within the Monitoring section.
- Click "Create New Alert".
- Select the service(s) and metric(s) you want to monitor.
- Define the trigger condition (e.g., "Response Time > 500ms for 5 minutes").
- Choose your notification channels (e.g., email, Slack, PagerDuty).
- Save your alert configuration.
Best Practice: Configure alerts for anomalies rather than just absolute thresholds. This helps reduce alert fatigue by focusing on unusual behavior.
Log Aggregation and Analysis
In addition to metrics, our platform aggregates logs from your services, providing valuable context for diagnosing issues. You can search, filter, and analyze logs directly from the "Logs" tab.
Example log search query to find errors in the last hour:
level:error AND timestamp:now-1hHealth Checks
Ensure your services expose a health check endpoint (e.g., /health) that returns a 200 OK status when the service is healthy. Our monitoring system periodically polls these endpoints to verify service availability.
| Metric | Description | Recommended Threshold |
|---|---|---|
| Uptime | Percentage of time the service is available. | > 99.9% |
| Response Time (p95) | 95th percentile response time. | < 200ms |
| Error Rate | Percentage of non-2xx/3xx responses. | < 0.1% |
For detailed API endpoints related to monitoring data, please refer to the API Reference.
Troubleshooting Common Issues
If you encounter monitoring issues, check the following:
- Ensure your services are properly configured to send metrics and logs.
- Verify that firewall rules are not blocking communication between your services and the monitoring system.
- Consult the Troubleshooting Guide for more in-depth solutions.