Performance Testing Beyond API: Exploring Shift-Left Approaches - GeeCON 2023
Explore innovative approaches to performance testing beyond API level, including Shift-Left concept and leveraging unit tests for cost-effective solutions.
Introduction to Playwright Testing and Automation in an Hour
Master Playwright automation testing fundamentals, from basic setup to advanced features like API testing, accessibility checks, and fixtures - all packed into a practical hands-on guide.
Using Kuttl to Improve E2E Testing and Release Faster
Master Kuttl implementation for streamlined E2E testing, enabling efficient local test environments and reducing build failures in development workflows. Learn practical strategies for improved CI integration.
Contributing to KernelCI for Better Testing and Collaboration
Discover how to contribute to KernelCI's testing framework, learn API usage for patch testing, and understand the importance of collaboration in maintaining Linux kernel stability across diverse hardware platforms.
Test Automation Reporting and Dashboarding with Report Portal
Master test automation reporting with Report Portal - from importing self-healing test results to creating custom dashboards and analyzing trends for enhanced CI/CD pipeline integration.
Implementing Real-time AI in High Volume Test
Discover practical strategies for implementing AI solutions in high-volume semiconductor testing environments, focusing on real-time applications and efficiency optimization.
Automating Testing with Intelligence - DIY Strategies for Success
Master intelligent test automation techniques using machine learning and AI to implement smart processes and enhance data-driven testing strategies.
Using Testcontainers for Better Integration Tests in Java Microservices
Discover how to create robust integration tests using Testcontainers framework, enabling independent testing of Java microservices with Docker-based infrastructure services like databases and message brokers.
Testing Machine Learning Systems - What It Is and Why You Should Care
Discover essential strategies for testing ML systems in production, from key concepts and best practices to overcoming common challenges for faster, higher-quality development outcomes.
Artifact Management in the Cloud - AWS, Azure, and GCP
Optimize test automation with cloud-based artifact management in AWS, Azure, and GCP. Enhance pipeline efficiency, improve test quality, and leverage scalability for better results.
Demystifying the Test Pyramid - Improving Test Suites for Modern Development
Explore the test pyramid concept, its criticisms, and adaptations. Gain insights to improve your test suites with practical tips and guidelines for modern software development.
The State of Code Coverage for Kotlin
Explore Kotlin code coverage tools, techniques, and challenges. Learn to interpret results and understand future improvements for effective testing.
Building a Better Testing Culture
Explore strategies for fostering a robust testing culture, addressing challenges in automated testing, and promoting collaboration for efficient software delivery.
Testing in Apache Solr - Session 3
Explore Solr's testing capabilities, learn to contribute effectively, and master techniques for writing and managing tests in Apache Solr.
Automated Testing and Board Farming - Techniques for Rapid Software Testing
Explore automated testing techniques for rapid software release validation, focusing on current tools, projects, and development directions in response to EU's CRA legislation requirements.
Tips and Tricks for Writing Fast and Maintainable Front-End Tests
Discover techniques for crafting efficient, reliable front-end tests that communicate software intent clearly. Learn to write end-to-end and component tests, prevent flaky CI runs, and make tests valuable beyond QA.
Test Automation with GitOps: Benefits and Challenges
Explore GitOps for test automation in CI/CD, reducing setup time and improving efficiency. Learn benefits and challenges through Open Liberty's experience with OpenShift deployments.
Streamlining Testing in a Large Python Codebase
Optimize Python testing in large codebases using parallel execution, efficient startup, and targeted coverage reporting. Boost development speed and code quality with practical strategies and open-source tools.
Adventures in Not Writing Tests - Using Hypothesis for Code Validation
Explore Hypothesis library for creating robust test inputs, focusing on edge cases. Learn to use Ghostwriting to generate tests from type hints, saving time and validating code.
A Testable Architecture for Executable Specifications
Discover a battle-proven approach to creating testable architectures with executable examples, resulting in living documentation and efficient test automation.
Integration Tests Are Needed and Simple
Explore modern integration testing with Testcontainers, challenging traditional test pyramids and adapting to current project needs for efficient and effective software development.