IT & Software100% OFF

Gatling Masterclass: Design and Analyze Performance Tests

Udemy Instructor

0(0 students)

Self-paced

All Levels

About this course

This course contains the use of Artificial Intelligence. || Unofficial Course ||Take your performance testing skills to the next level with this comprehensive Gatling Performance Testing course, designed to help you understand the fundamentals of performance testing and confidently build, execute, and analyze realistic load tests using Gatling. This course provides a practical and structured introduction to Gatling and its role in modern performance engineering.

You will begin by understanding the core objectives of performance testing and learn how load testing, stress testing, and spike testing differ in terms of purpose, workload, and expected outcomes. You will also explore Gatling's architecture, primary use cases, and how its approach differs from traditional performance testing frameworks. As you progress, you will develop a solid understanding of the Gatling ecosystem, including the role of Scala and Java, Gatling's asynchronous architecture, virtual users, core engine components, project structure, and important configuration files.

This foundation will help you understand not only how to create Gatling tests, but also how Gatling works behind the scenes. You will then learn how to work with the Gatling Domain-Specific Language (DSL) and understand the logical structure of a Gatling simulation. You will explore HTTP protocol configuration, scenario design, sequential user journeys, and common HTTP operations such as GET, POST, PUT, and DELETE.

You will also learn how feeders can be used to inject dynamic test data into your simulations. A major focus of the course is workload modeling and realistic simulation design. You will learn how to model open and closed workload systems, select appropriate user injection strategies, create constant-rate and ramp-up workloads, and introduce pauses and pacing to simulate realistic user behavior.

You will also learn how to implement checks and assertions for response validation and handle dynamic session data through correlation. The course also focuses heavily on performance analysis. You will learn about important performance testing KPIs captured by Gatling and understand response-time percentiles such as the 50th, 75th, 95th, and 99th percentiles.

You will learn how to navigate and interpret Gatling's HTML reports, analyze response-time distributions, examine active-user charts, and use performance data to identify potential bottlenecks and performance issues. By the end of this course, you will have a strong foundation in Gatling-based performance testing and will understand how to design meaningful simulations, model realistic workloads, validate application behavior, and interpret performance results. Whether you are a QA professional, performance tester, developer, DevOps engineer, or aspiring performance engineer, this course will give you the knowledge needed to start applying Gatling effectively in real-world performance testing scenarios.

Join the course and build the skills needed to move from basic performance testing concepts to practical Gatling-based load and performance testing.

Skills you'll gain

Other IT & SoftwareEnglish

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

$0$88.99

Save $88.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/gatling-masterclass-design-and-analyze-performance-tests

Are you ready to unlock the power of data and transform raw information into meaningful insights? This comprehensive course, "Data Analysis with Pandas & NumPy," is your gateway to becoming proficient in the essential Python libraries for data manipulation and analysis. Why This Course? In today's data-driven world, the ability to analyze and interpret data is a highly sought-after skill. Python, with its powerful libraries Pandas and NumPy, has become the industry standard for data analysis. This course will take you from the fundamentals to advanced techniques, ensuring you gain hands-on experience with real-world datasets. Unlike other courses, we focus heavily on practical application, showing you not just how to use functions, but why they are important and when to apply them for optimal results. You'll build a strong foundation that is crucial for a career in data science, machine learning, or business intelligence. What You'll Learn This course is structured to provide a deep dive into both NumPy for numerical operations and Pandas for powerful data structuring and manipulation. You'll master data loading, cleaning, transformation, aggregation, and basic visualization. We'll cover everything from handling missing values and duplicates to advanced indexing and merging datasets. By the end, you'll be able to confidently tackle complex data analysis problems, preparing your data for further statistical analysis or machine learning models. Take Your Data Skills to the Next Level Whether you're a beginner eager to enter the data world or an experienced developer looking to solidify your data analysis skills, this course offers the structured learning path you need. Enroll today and start your journey to becoming a data analysis expert with Python!

Master Python & ML: Stats, Analysis & Data Visualization

Udemy Instructor

Welcome to The Data Science Bootcamp! This comprehensive bootcamp is your one-stop solution to becoming a job-ready Data Scientist. We've meticulously designed this course to take you from absolute beginner to a confident data professional, equipped with the most demanded skills in the industry. Whether you're looking to launch a new career, enhance your current role, or simply understand the power of data, this course is for you.What Makes This Course Unique? Unlike other courses, 'The Data Science Bootcamp' provides a truly integrated learning experience. We don't just teach tools; we teach you how to think like a Data Scientist. You'll learn:Python Programming: From basic syntax to advanced data manipulation with Pandas and NumPy. Statistics & Probability: Understand the foundational math behind data science and machine learning. Machine Learning: Master algorithms like Linear Regression, Logistic Regression, Decision Trees, K-Means, and more. Learn how to build, evaluate, and optimize models. SQL for Data: Extract, transform, and load data from databases – a crucial skill for any data role. Data Visualization: Create stunning and insightful dashboards with Matplotlib, Seaborn, and Tableau. Real-World Projects: Apply your knowledge to practical case studies and build a robust portfolio. Your Journey to Data Mastery We believe in learning by doing. Each section is packed with hands-on exercises, quizzes, and projects that reinforce your understanding. We'll guide you through setting up your environment, understanding core concepts, and implementing them with practical code. By the end of this bootcamp, you'll have not only the theoretical knowledge but also the practical experience to tackle complex data challenges and confidently apply for data science roles.

Certified Data Science Professional

Udemy Instructor

Become a Certified Data Science ProfessionalWelcome to the 'Certified Data Science Professional' course, your ultimate guide to mastering the skills needed to excel in the booming field of data science. This comprehensive program is meticulously designed to transform you from a beginner or an aspiring professional into a skilled data scientist, capable of tackling real-world challenges.Why Data Science?Data science is at the heart of every major industry, driving innovation and critical decision-making. Companies are constantly seeking professionals who can extract valuable insights from vast datasets, build predictive models, and communicate findings effectively. By the end of this course, you'll be equipped with the in-demand skills to meet this demand.What You'll LearnThis course covers the entire data science lifecycle, from data collection and cleaning to model deployment and interpretation. You'll gain hands-on experience with industry-standard tools and techniques:Python Programming: Master Python for data manipulation, analysis, and visualization using popular libraries like Pandas, NumPy, Matplotlib, and Seaborn.Statistical Analysis: Understand core statistical concepts, hypothesis testing, and inferential statistics essential for data-driven insights.Machine Learning: Dive deep into various machine learning algorithms, including regression, classification, clustering, and delve into the basics of deep learning.SQL: Learn to query and manage relational databases, a fundamental skill for any data professional.Project-Based Learning: Apply your knowledge to real-world datasets and complete practical projects that you can showcase in your portfolio.What Makes This Course Unique?This course stands out due to its practical, hands-on approach, ensuring you don't just learn theory but apply it. We provide:* **End-to-End Coverage**: From foundational concepts to advanced machine learning, we cover everything an aspiring certified professional needs.* **Practical Case Studies**: Work through real-world scenarios that mimic challenges faced by data scientists daily.* **Certification Focus**: The curriculum is structured to provide a solid foundation for various industry data science certifications.* **Clear Explanations**: Complex topics are broken down into easy-to-understand modules with practical examples.* **Continuous Support**: Access to instructor support and a vibrant learning community.

0.0•2.2K•Self-paced

FREE$88.99

Enroll

Gatling Masterclass: Design and Analyze Performance Tests

About this course

Skills you'll gain

Available Coupons