What does the Software Performance Testing course cover?
Software Performance Testing is covered here in 8 modules: Introduction to Software Performance Testing, Performance Testing Fundamentals, Performance Test Planning and Design: Identifying test data and user scenarios and 5 more. The outline lists 32 specific topics, opening with defining software performance testing and its importance and closing with hands-on exercise: Using machine learning for performance testing using AWS.
How do you approach Software Performance Testing step by step?
The work is sequenced in 8 stages. It starts with Introduction to Software Performance Testing, moves through Performance Testing Fundamentals and Performance Test Planning and Design: Identifying test data and user scenarios, and ends at Advanced Performance Testing Topics. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Software Performance Testing course?
Module 1 is Introduction to Software Performance Testing. It works through defining software performance testing and its importance, understanding the benefits and challenges of performance testing, overview of performance testing methodologies and tools and 1 more. It sets the vocabulary the remaining 7 modules build on.
How is the Software Performance Testing course delivered?
The Software Performance Testing course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Software Performance Testing course cost?
The Software Performance Testing course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Creative Software Compliance Efficiency Playbook, Tracking Software in Operational Efficiency Techniques, Efficiency Benchmarking in Software Development Dataset, Efficiency Initiatives in Management Software Kit.
More answers: what you get with every course, refund policy, all help answers.
Mastering Software Performance Testing: A Step-by-Step Guide to Optimizing System Efficiency
Course Overview
This comprehensive course is designed to equip you with the knowledge and skills needed to master software performance testing and optimize system efficiency. Through interactive lessons, hands-on projects, and real-world applications, you'll gain a deep understanding of performance testing principles, methodologies, and tools.Course Objectives
- Understand the fundamentals of software performance testing and its importance in ensuring system efficiency
- Learn how to plan, design, and execute performance tests using industry-standard tools and methodologies
- Identify and analyze performance bottlenecks and optimize system resources for improved efficiency
- Develop skills in using performance testing tools, such as Apache JMeter, Gatling, and NeoLoad
- Understand how to integrate performance testing into Agile and DevOps environments
- Learn how to create effective performance test reports and communicate results to stakeholders
Course Outline
Module 1: Introduction to Software Performance Testing
- Defining software performance testing and its importance
- Understanding the benefits and challenges of performance testing
- Overview of performance testing methodologies and tools
- Case studies: Real-world examples of performance testing in action
Module 2: Performance Testing Fundamentals
- Understanding system performance metrics: Response time, throughput, and resource utilization
- Identifying performance bottlenecks: CPU, memory, disk, and network
- Introduction to performance testing tools: Apache JMeter, Gatling, and NeoLoad
- Hands-on exercise: Setting up and running a performance test using Apache JMeter
Module 3. Performance Test Planning and Design: Identifying test data and user scenarios
- Defining performance test objectives and scope
- Identifying test data and user scenarios
- Creating a performance test plan and schedule
- Hands-on exercise: Designing a performance test plan using a real-world example
Module 4. Performance Test Execution and Analysis: Running and monitoring performance tests
- Running and monitoring performance tests
- Collecting and analyzing performance data
- Identifying performance bottlenecks and areas for optimization
- Hands-on exercise: Executing and analyzing a performance test using Gatling
Module 5. Performance Optimization and Tuning: Optimizing system configuration and resource allocation
- Understanding system resource utilization and optimization techniques
- Optimizing system configuration and resource allocation
- Introduction to performance optimization tools: caching, content delivery networks, and code optimization
- Hands-on exercise: Optimizing system performance using caching and content delivery networks
Module 6: Agile and DevOps Performance Testing
- Integrating performance testing into Agile and DevOps environments
- Using continuous integration and continuous deployment (CI/CD) pipelines for performance testing
- Introduction to performance testing tools for CI/CD: Jenkins, Docker, and Kubernetes
- Hands-on exercise: Integrating performance testing into a CI/CD pipeline using Jenkins and Docker
Module 7: Performance Test Reporting and Communication
- Creating effective performance test reports and dashboards
- Communicating performance test results to stakeholders
- Introduction to performance test reporting tools: Tableau, Power BI, and Grafana
- Hands-on exercise: Creating a performance test report using Tableau
Module 8: Advanced Performance Testing Topics
- Introduction to advanced performance testing topics: cloud performance testing, mobile performance testing, and IoT performance testing
- Using machine learning and artificial intelligence for performance testing
- Introduction to performance testing tools for advanced topics: AWS, Azure, and Google Cloud
- Hands-on exercise: Using machine learning for performance testing using AWS
Course Features
- Interactive and engaging: Interactive lessons, hands-on projects, and real-world applications
- Comprehensive: Covers all aspects of software performance testing, from fundamentals to advanced topics
- Personalized: Self-paced learning with personalized feedback and support
- Up-to-date: Latest industry trends, tools, and methodologies
- Practical: Hands-on projects and real-world applications
- High-quality content: Expert instructors and high-quality course materials
- Certification: Participants receive a certificate upon completion, issued by The Art of Service
- Flexible learning: Self-paced learning with flexible scheduling
- User-friendly: Easy-to-use online learning platform
- Mobile-accessible: Accessible on mobile devices
- Community-driven: Online community for discussion and support
- Actionable insights: Practical insights and recommendations for real-world applications
- Hands-on projects: Real-world projects and case studies
- Bite-sized lessons: Short, focused lessons for easy learning
- Lifetime access: Lifetime access to course materials and updates
- Gamification: Interactive and engaging learning experience
- Progress tracking: Track your progress and stay motivated