GITNUX MARKETDATA REPORT 2023

Must-Know Dynatrace Metrics

Last Updated: October 31, 2023

Written & Summarized by: Jannik Lindner

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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)

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.

CPU Usage

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.

Memory Usage

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.

Response Time

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.

Apdex Score

The application performance index represents user satisfaction with an application’s response time. A higher score indicates better user experience.

Throughput

Throughput: Requests per second. High throughput means handling many requests simultaneously.

Error Rate

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.

User Experience

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

Network usage: Data transmitted and received. High usage may suggest latency or poor app optimization.

Latency

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.

Active Threads

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?

Dynatrace Metrics are customizable data points that represent performance, usage, and availability of your applications, infrastructure, and digital services. They provide real-time insights into your digital ecosystem, allowing you to proactively identify and resolve issues, optimize performance, and make informed decisions based on meaningful KPIs.

How does Dynatrace collect and process Metrics?

Dynatrace Metrics are collected through OneAgent or integrations with third-party platforms, using open standard protocols like StatsD, Prometheus, and OpenTelemetry. The collected metrics are sent to Dynatrace Cluster, where they are stored, analyzed, and visualized, enabling you to monitor and manage your services and infrastructure effortlessly.

Are Dynatrace Metrics customizable, and can they be integrated with other tools?

Yes, Dynatrace Metrics are highly customizable and can be tailored to meet your organization’s specific needs. You can create custom metrics, dashboards, and alerts based on criteria that matters most to you. Additionally, Dynatrace Metrics can be integrated with popular tools like Grafana and Splunk, allowing you to leverage the power of Dynatrace in your existing workflows and platforms.

How does Dynatrace handle alerting and anomaly detection for Metrics?

Dynatrace employs artificial intelligence (AI) and machine learning to automatically detect anomalies and performance degradations within your metrics. It then sends actionable alerts to the appropriate team members, enabling them to proactively manage and resolve issues as they arise – thereby minimizing any negative impact on user experience or service availability.

How does Dynatrace ensure data security and privacy when dealing with Metrics?

Dynatrace is committed to the highest standards of security and privacy. It employs strong encryption for data in transit and at rest, follows strict access-control processes, and undergoes regular third-party security audits. Dynatrace is also compliant with industry standards like GDPR, HIPAA, and SOC 2, ensuring that your metrics and sensitive data remain secure and confidential.

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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