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# Checkpoint — Monitoring |
# Checkpoint |
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# Monitoring |
You should now implement monitoring and autorestarts for your application using monit. |
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Monitoring is a crucial aspect of maintaining a healthy and well-performing full stack application. As a full stack developer, you need to understand and implement various monitoring tools and techniques to ensure the smooth functioning of your application throughout its life cycle. |
Here are some of the monitors you should implement for the application. |
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In this section, we'll cover the following topics: |
- CPU Usage |
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- Memory Usage |
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## Importance of Monitoring |
- Disk Usage |
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- Network Usage |
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Monitoring helps you to: |
- Service Availability |
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- Process Availability |
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- Detect and fix issues before they affect users and result in system downtime. |
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- Optimize performance and resource usage. |
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- Predict and scale for future growth by identifying trends and predicting traffic spikes. |
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- Ensure security by identifying weak spots and tracking malicious activities. |
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## Monitoring Tools |
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There are various monitoring tools available, and it's essential to choose the right one based on your specific needs. Some popular monitoring tools include: |
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- **Infrastructure Monitoring** (e.g., [Nagios](https://www.nagios.org/), [Zabbix](https://www.zabbix.com/), [Prometheus](https://prometheus.io/)) |
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- **Application Performance Monitoring (APM)** (e.g., [New Relic](https://newrelic.com/), [Dynatrace](https://www.dynatrace.com/), [AppDynamics](https://www.appdynamics.com/)) |
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- **Log Management** (e.g., [Elastic Stack](https://www.elastic.co/), [Graylog](https://www.graylog.org/), [Loggly](https://www.loggly.com/)) |
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- **Error Tracking** (e.g., [Sentry](https://sentry.io/), [Rollbar](https://rollbar.com/), [Airbrake](https://airbrake.io/)) |
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## Key Metrics to Monitor |
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When monitoring your full stack application, make sure to track the following key metrics: |
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- **Availability:** Percentage of time the system is operational and accessible. |
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- **Response Time:** Time taken by the system to respond to a user request. |
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- **Throughput:** Number of requests processed by the system per unit of time. |
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- **Error Rate:** The frequency of errors occurring in the system. |
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- **Resource Utilization:** Percentage of system resources (CPU, memory, disk, etc.) being used. |
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## Monitoring Best Practices |
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Follow these best practices to ensure effective monitoring and smooth functioning of your application: |
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1. **Establish Goals:** Define measurable objectives based on your business requirements and use them to set performance thresholds. |
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2. **Monitor Across Different Levels:** Monitor at the infrastructure, application, and individual user levels to get a complete view of your system's performance. |
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3. **Set Up Alerts:** Configure alerts for when critical thresholds are breached, ensuring you can react promptly and minimize downtime. |
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4. **Analyze and Optimize:** Regularly review monitoring data to identify trends and areas of improvement, and then make necessary changes to enhance your application's performance. |
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Implementing robust monitoring solutions in your full stack application helps ensure it remains reliable, available, and secure while providing valuable insights to optimize performance and scalability for future growth. |
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