GITNUX MARKETDATA REPORT 2023

Must-Know Infrastructure Monitoring Metrics

Last Updated: October 31, 2023

Written & Summarized by: Jannik Lindner

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Highlights: The Most Important Infrastructure Monitoring Metrics

1. CPU Usage
2. Memory Usage
3. Disk Usage
4. Disk I:
5. Network Latency
6. Network Throughput
7. Network Error Rate
8. Response Time
9. Application Availability
10. Request Rate
11. Error Rate
12. Load Balancer Metrics
13. Database Performance Metrics
14. Cache Hit Rate
15. Garbage Collection Metrics

Infrastructure Monitoring Metrics: Our Guide

Effective management of IT systems relies heavily on understanding key metrics to maintain optimal performance and prevent potential issues. In our latest blog post, we delve into the must-know infrastructure monitoring metrics essential for any tech-savvy engineer or IT specialist. From CPU load to memory use and network latency, understanding these metrics will help keep your infrastructure running smoothly and efficiently.

CPU Usage

It measures the percentage of time the CPU spends processing non-idle tasks. High CPU usage can indicate excessive workload or inefficient code execution.

Memory Usage

It measures the amount of memory currently in use by the system. High memory usage can cause performance issues and slow down the infrastructure.

Disk Usage

It measures the proportion of disk space that has been used. High disk usage can indicate insufficient storage capacity or an excessive amount of data stored on the system.

Disk I

It measures the amount of data read and written to the disk over a specific time. High disk |/O can indicate a bottleneck and slow down the overall system performance.

Network Latency

Network latency measures data travel time in a network. High latency affects web app performance and user experience.

Network Throughput

It measures the amount of data transmitted over a network per unit of time. Low network throughput can indicate network congestion or other issues that slow data transmission.

Network Error Rate

It measures the percentage of network requests that result in errors. High network error rates can indicate network stability issues, leading to a poor user experience.

Response Time

It measures the time taken by a system to process a request and return a response. High response times can lead to slow application performance and customer dissatisfaction.

Application Availability

It measures application accessibility and functionality percentage. Low availability signals system issues impacting user experience.

Request Rate

It measures the number of requests received by an application per unit of time. High request rates can cause performance degradation if the infrastructure is not scaled properly.

Error Rate

It measures the percentage of requests resulting in errors. High error rates can indicate application bugs, configuration issues, or other problems that impact user experience.

Load Balancer Metrics

These metrics assess instance health, request count, and latency for efficient load balancing and workload distribution.

Database Performance Metrics

These metrics measure database operation times, the number of active connections, and query performance to ensure optimal database performance and prevent bottlenecks.

Cache Hit Rate

It measures the ratio of cached requests to total requests. A high rate indicates an efficient caching strategy, reducing the load on the main data source.

Garbage Collection Metrics

These metrics track garbage collection time, collected objects, and freed memory. Monitoring helps spot memory issues and performance impacts.

Frequently Asked Questions

What are Infrastructure Monitoring Metrics?

Infrastructure Monitoring Metrics are quantitative measurements used to track, assess, and manage the performance, health, and stability of a network or a system’s infrastructure components. These metrics help identify and diagnose issues, making sure that the infrastructure operates efficiently and effectively.

Why are Infrastructure Monitoring Metrics important?

Infrastructure Monitoring Metrics are essential for ensuring optimal performance of an organization’s networks and systems. By monitoring these metrics, IT professionals can identify potential issues, proactively address them, and avoid downtime, which can have severe financial consequences and impact customer experience.

What are some common Infrastructure Monitoring Metrics?

Common Infrastructure Monitoring Metrics include network latency, error rate, uptime, CPU usage, memory usage, disk usage, and bandwidth usage. These metrics cover various aspects of an infrastructure and can help provide a complete picture of the system’s health and performance.

How are Infrastructure Monitoring Metrics collected?

Infrastructure Monitoring Metrics are typically collected using specialized monitoring tools and software that gathers data from various sources, such as servers, network devices, and applications. These tools continually track and measure the specified metrics, making it easy to analyze and visualize the data and identify any anomalies or areas for improvement.

How can organizations utilize Infrastructure Monitoring Metrics to improve their IT operations?

Organizations can utilize Infrastructure Monitoring Metrics to proactively identify and resolve infrastructure issues, optimize resource allocation, and plan better for upgrades, maintenance, and capacity growth. By regularly monitoring these metrics, IT professionals can ensure that the underlying infrastructure supports efficient and seamless operation of the organization’s systems and services, thus enhancing customer satisfaction and driving business growth.

How we write these articles

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.

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