Training

Methodological and analytical foundations of performance tests

Learn how to get a better overview of the performance data of your applications.

Methodically plan performance tests, interpret performance metrics, and evaluate IT systems using analytical models.

Analytical methods for performance tests

Who is the training suitable for?

The training is aimed at load and performance testers as well as performance engineers who want to deepen their methodological and analytical knowledge in performance testing.

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Duration

3 days (8h/day)

Format

In-house or with accompio

Number of participants

on request

Target group

Last- and performance testers as well as performance engineers

Methodological and analytical foundations – understanding performance systematically

This training provides a thorough understanding of the methodological and analytical foundations of performance tests. Participants learn about key performance metrics and basic principles, and explore the operational queuing theory. A focus is placed on the modeling of IT systems using queue models and queue networks. Fundamental assumptions as well as open and closed systems are considered. On this basis, participants learn to derive performance metrics, verify measurement data for plausibility, and interpret results in a structured manner. The operational fundamentals support the evaluation of system behavior, scaling limits, and optimization potential.

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Contents at a glance

Basic requirements
Performance metrics
Basic laws

Operational principle
Queue models
Queue networks
Basic requirements & assumptions
Open and closed systems

Littel’s Law
Throughput law
General answer time law
Interactive response time law
Utilization law
Traffic equations

Prerequisite checks
Derivation of performance metrics
Interpretation of measurement data
Communication of analysis results

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Your added value

Understanding performance analytically

Do you understand the key relationships between utilization, throughput, and response time?.

Apply queue models

Model and analyze IT systems using operational queue models.

derive performance metrics

Extract relevant metrics from measurement data and system models.

Correctly interpreting measurement data

Check results for plausibility and identify patterns in performance data.

Communicate analysis results in a clear manner

Prepare analytical results in a structured way for different target groups.

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