mirror of
https://github.com/kamranahmedse/developer-roadmap.git
synced 2025-08-29 12:10:22 +02:00
Update monitoring
This commit is contained in:
@@ -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.
|
||||
- CPU Usage
|
||||
- Memory Usage
|
||||
- Disk Usage
|
||||
- Network Usage
|
||||
- Service Availability
|
||||
- Process Availability
|
||||
|
Reference in New Issue
Block a user