GITNUX MARKETDATA REPORT 2023
Must-Know Dynatrace Metrics
Highlights: The Most Important Dynatrace Metrics
- 1. CPU Usage (%)
- 2. Memory Usage (%)
- 3. Disk Space Used (%)
- 4. Response Time (ms)
- 5. Apdex Score
- 6. Throughput (Requests/Second)
- 7. Error Rate (%)
- 8. Garbage Collection Time (ms)
- 9. Number of Database Calls
- 10. User Experience (Visually complete)
- 11. Network Usage
- 12. Latency (ms)
- 13. CPU Ready Time (ms)
- 14. Active Threads
- 15. Database Response Time (ms)
Table of Contents
Dynatrace Metrics: Our Guide
Delve into the world of effective application performance monitoring with this comprehensive guide about must-know Dynatrace metrics. Learn how these key indicators can help improve your digital performance and provide critical insights for informed decision-making. Uncover the value of Dynatrace’s robust measurement capabilities to optimize your operations and ensure a seamless user experience.
This metric shows the percentage of CPU resources used by a process, host, or service. It helps in understanding if the CPU is over-utilized or under-utilized.
This metric represents the percentage of overall memory used on a host or by a process. It helps in identifying memory leaks, bottlenecks, and areas for optimization.
Disk Space Used
This metric measures the percentage of disk space used versus the available space. It is crucial for maintaining optimal system performance and avoiding downtime due to lack of storage.
This metric captures the amount of time taken for an application to respond to a user’s request. Lower response times indicate better application performance.
The application performance index represents user satisfaction with an application’s response time. A higher score indicates better user experience.
Throughput: Requests per second. High throughput means handling many requests simultaneously.
Error rate: % of failed requests vs. total. High rates may signal code or infrastructure problems.
Garbage Collection Time
This metric measures the time taken by the JVM (Java Virtual Machine) to clean up unused memory. Long garbage collection times could lead to reduced application performance.
Number Of Database Calls
This metric tracks the total number of database calls made by your application, indicating the efficiency of database interactions and potential performance bottlenecks.
This metric measures the time taken for a user to see the loaded webpage’s essential content. It helps gauge user satisfaction with a webpage’s performance.
Network usage: Data transmitted and received. High usage may suggest latency or poor app optimization.
Latency is a measure of the delay incurred in the communication between different components of your system. Low latency indicates faster, more efficient communication.
CPU Ready Time
This metric measures the time a CPU is in a ready state, waiting to process new requests. High CPU ready times can indicate a shortage of available CPU resources.
The active threads metric represents the number of tasks currently executing. Higher thread counts may indicate better parallelization and more efficient task processing.
Database Response Time
The database response time measures the time it takes for a database to complete a request, providing insights into the efficiency and performance of your database.
Frequently Asked Questions
What are Dynatrace Metrics and how can they benefit my organization?
How does Dynatrace collect and process Metrics?
Are Dynatrace Metrics customizable, and can they be integrated with other tools?
How does Dynatrace handle alerting and anomaly detection for Metrics?
How does Dynatrace ensure data security and privacy when dealing with Metrics?
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.