GITNUX MARKETDATA REPORT 2023
Must-Know Cloud Monitoring Metrics
Highlights: The Most Important Cloud Monitoring Metrics
- 1. CPU Utilization
- 2. Memory Usage
- 3. Disk Usage
- 4. Disk I/O (Input/Output) Operations
- 5. Network Traffic
- 6. Latency
- 7. Error Rate
- 8. Request Rate
- 9. Response Time
- 10. Availability
- 11. Apdex (Application Performance Index) Score
- 12. Cache Hit Rate
- 13. Queue Length
Table of Contents
Cloud Monitoring Metrics: Our Guide
Dive into the world of cloud computing with our updated report on must-know cloud monitoring metrics. Enhance your understanding on optimizing cloud operations and improving your system performance. Whether you’re a novice or an expert, we’ve got a wealth of information that will help you navigate the often-complex terrain of cloud metrics effectively.
The percentage of CPU resources being used by the system, processes, or applications on a cloud instance. High CPU utilization may indicate that more compute power is required.
Monitoring memory usage identifies memory issues or optimization needs in the system or applications.
Monitoring disk usage helps assess storage resource needs and data management strategies, such as cleanup or compression.
Disk I/O Operations
The number of read and write operations performed by the storage device. High disk I/O may impact the performance and responsiveness of cloud applications.
Monitoring network traffic aids in detecting bottlenecks, potential DDoS attacks, or excessive bandwidth consumption by cloud applications.
Latency measures the time for data packets to travel from sender to receiver, including processing delays. High latency can affect user experience and application responsiveness.
Error rate tracks the number of errors, like exceptions or failed requests, within a time frame to detect issues in cloud applications.
Request rate measures the frequency of incoming requests to a cloud service or application to identify potential performance issues caused by high demand or resource contention.
Response time measures how quickly a cloud service or application responds to requests, helping identify performance issues and ensuring a good user experience.
Availability measures the uptime of a cloud service or application, indicating its reliability and accessibility, while also helping to identify potential issues and downtime.
Apdex scores categorize response times to gauge user satisfaction with a cloud app’s performance and set performance targets.
Cache Hit Rate
Cache hit rate is the percentage of cache requests served without accessing the data source. It assesses the efficiency of caching strategies.
Queue length is the number of items waiting to be processed in a queue. It helps identify processing bottlenecks.
Frequently Asked Questions
What are Cloud Monitoring Metrics?
Why are Cloud Monitoring Metrics important for businesses?
Which common Cloud Monitoring Metrics should be monitored?
How can businesses monitor their Cloud Monitoring Metrics?
How can Cloud Monitoring Metrics help businesses in cost optimization?
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.