diff --git a/src/data/roadmaps/full-stack/content/125-monitoring.md b/src/data/roadmaps/full-stack/content/125-monitoring.md index 620186450..0301d9798 100644 --- a/src/data/roadmaps/full-stack/content/125-monitoring.md +++ b/src/data/roadmaps/full-stack/content/125-monitoring.md @@ -1,46 +1,12 @@ -# Checkpoint — Monitoring +# Checkpoint -# Monitoring +You should now implement monitoring and autorestarts for your application using monit. -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. -In this section, we'll cover the following topics: - -## Importance of Monitoring - -Monitoring helps you to: - -- Detect and fix issues before they affect users and result in system downtime. -- Optimize performance and resource usage. -- Predict and scale for future growth by identifying trends and predicting traffic spikes. -- Ensure security by identifying weak spots and tracking malicious activities. - -## Monitoring Tools - -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: - -- **Infrastructure Monitoring** (e.g., [Nagios](https://www.nagios.org/), [Zabbix](https://www.zabbix.com/), [Prometheus](https://prometheus.io/)) -- **Application Performance Monitoring (APM)** (e.g., [New Relic](https://newrelic.com/), [Dynatrace](https://www.dynatrace.com/), [AppDynamics](https://www.appdynamics.com/)) -- **Log Management** (e.g., [Elastic Stack](https://www.elastic.co/), [Graylog](https://www.graylog.org/), [Loggly](https://www.loggly.com/)) -- **Error Tracking** (e.g., [Sentry](https://sentry.io/), [Rollbar](https://rollbar.com/), [Airbrake](https://airbrake.io/)) - -## Key Metrics to Monitor - -When monitoring your full stack application, make sure to track the following key metrics: - -- **Availability:** Percentage of time the system is operational and accessible. -- **Response Time:** Time taken by the system to respond to a user request. -- **Throughput:** Number of requests processed by the system per unit of time. -- **Error Rate:** The frequency of errors occurring in the system. -- **Resource Utilization:** Percentage of system resources (CPU, memory, disk, etc.) being used. - -## Monitoring Best Practices - -Follow these best practices to ensure effective monitoring and smooth functioning of your application: - -1. **Establish Goals:** Define measurable objectives based on your business requirements and use them to set performance thresholds. -2. **Monitor Across Different Levels:** Monitor at the infrastructure, application, and individual user levels to get a complete view of your system's performance. -3. **Set Up Alerts:** Configure alerts for when critical thresholds are breached, ensuring you can react promptly and minimize downtime. -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. - -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. \ No newline at end of file +- CPU Usage +- Memory Usage +- Disk Usage +- Network Usage +- Service Availability +- Process Availability