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Observability in Software Test Modernization
Playlist
- Client Feedback & Quality Assurance in Web Design for Agencies
- Democratise Automation to Build Autonomy and Go-To-Market Faster
- Testing AWS applications locally and on CI with LocalStack
- Man Vs Machine: Finding (replicable) bugs post-release
- Shift-Left: Accelerating Quality Assurance in Agile Environments
- End-to-End Test Automation with Provar
- Fast-Tracking Project Delivery:Tips from a Recovering Perfectionist
- Crawl, Walk, Run...Fly - Take your build and test pipeline to the next level
- Revolutionizing Testing with Test Automation as a Service (TaaS)
- How Codemagic Mitigates Challenging Mobile App Testing Environments
- Fast and Furious: The Psychology of Web Performance
- Faster Feedback with Intelligent CD Pipelines
- Navigating the Future of Quality Engineering in 2024
- Using AI for Effective Test Generation
- Automated Test Execution Reporting
- How To Speed Up Our Work During Web Automation
- Building Products that Drive Better Results with Shortcut
- Shifting Accessibility Testing Left with LambdaTest and Evinced
- Testing Tomorrow: Unravelling the AI in QA Beyond Automation
- Flaky Tests from an Engineering Perspective
- Future Trends and Innovations in Gen AI for Quality Engineering
- Mastering User-Centric Mindset Unlocking Your Potential as a Tester
- From Brainwave to Inbox: Avo's Whimsical Adventure through AI-Powered Test Automation
- The Myth of โBest Practiceโ
- Impact and Potentials of GenAI to the IT Engineers
- Innovation Accelerated: The Intersection of AI and Quality Engineering
- Optimize Issue Tracking: Integrating SpiraTeam with LambdaTest
- The Power of Generative AI in Reducing Maintenance and Enhancing Speed
- Rethinking the Role of QA Profile
- Building Quality Software: AI-based testing approach with Jira and QMetry
- In-Depth with Playwright: A Modern Testing Framework
- Supercharge Your Data Quality Testing with AI/ML
- GenAI for Quality Transformation
- Creating Reliable and Scalable Test Automation Frameworks
- Upskilling Quality Engineers: A Success Story in SDET Transformation
- AI-Readiness: Are You Building the Future or Falling Behind
- Leading the Charge in Software Quality with Zero Bug Revolution
- Building a Test Automation Framework for TV Apps & Scaling at FX Digital
- Building High-Quality Teams: People, Process & Proof for QA Leadership
- Why Do We Have Bugs, and Why Do They Happen?
- GenAI in QA: Tiket's Approach to Evolving Quality Engineering
- Collaborative Remote Testing: How to Set Up & Run Effective Ensemble Sessions
- Simulating Real-World Scenarios: Balancing Precision and Practicality in Testing
- Building AI-Driven Test Automation Frameworks for QA Excellence : Challenges with Agile, DevOps, and AI-driven Testing
- Reinforcing Cybersecurity Beyond Functional Testing
- Building AI-Driven Test Automation Frameworks for QA Excellence
- Shift Happens: Driving Quality LeftโA Real-World Journey Across Five Teams
- Transitioning from Manual Testing to Test Automation with Cypress
- See Why Your Testing Framework Is Incorrect, Incomplete, or Inefficient โ And Iโll Show You Why
- Quality First: Implementing Shift-Left Testing for Future-Ready Products
- Building Resilient Quality Engineering Teams: Exploring Emerging Trends and Best Practices
- Testing LLMs: Why It Matters, Common Data Challenges, and Proven Testing Strategies
- Observability in Software Test Modernization
- AARRR...Are you Test-Ready for AI? Discover If AI Can Transform QA Process
- Integrating Testing into Agile Workflows: Enabling Faster, Smarter Software Delivery
About The Video
In this episode of the XP Series, ๐๐จ๐ง๐จ๐ฏ๐๐ง ๐๐ฎ๐ฅ๐๐๐ซ, Chief Executive Officer at Kinetic Skunk, explores how Real User Monitoring (RUM) is reshaping the way teams approach software quality and testing. Whether you're a QA leader, DevOps engineer, or Digital Strategist, this episode unpacks how RUM, observability, and TestOps together are reshaping modern testing and why itโs no longer just about finding bugs, but optimizing experiences.
Using the AARRR framework, Lucy unpacks how to evaluate the real impact of AI on:
โ Test automation effectiveness
โ Engineering productivity
โ Team collaboration across QA
Video Chapters
00:00 Welcome
01:14 Guest Introduction
03:59 Understanding the AARRR Framework
13:15 Key Organizational Challenges in AI Implementation
17:23 Maturity Assessment for AI Adoption
20:52 Self-Healing Tests and AI Integration
27:12 Guardrails for AI Usage in QA
33:01 Transforming the Role of QA Engineers
39:40 Wrapping Up
Key Topics Covered
Real User Monitoring (RUM) vs. Synthetic Monitoring
Exploring the differences between RUM, which captures real user interactions, and synthetic monitoring, which simulates user behavior to test application performance. Dynatrace
Implementing Feedback Loops in Testing
Discussing the importance of integrating continuous feedback into the testing process to improve software quality and responsiveness.
Utilizing RUM Data for Business Insights
Demonstrating how RUM data can provide valuable insights into user behavior, aiding in business decision-making and performance optimization.
Correlating User Behavior with Performance Metrics
Analyzing how user actions can be linked to performance data to identify bottlenecks and enhance user experience.
Challenges for Global Distributed Teams
Addressing the unique challenges faced by distributed teams, such as communication barriers and coordination issues, and strategies to overcome them.
Skills for QA Professionals in Observability
Highlighting the essential skills QA professionals need to effectively implement and leverage observability tools and practices.
Resources for QA Professionals
Providing information on resources and tools available to QA professionals to enhance their skills and knowledge in observability.
Future Trends: AI in Observability and Software Quality
Discussing the role of artificial intelligence in the future of observability and its impact on software quality assurance.
Related Blogs & Hubs
A Guide to Implementing Test Observability for Enhanced Software Quality
How to Use Test Observability to Improve Test Orchestration and Coordination
LambdaTest
LambdaTest is an AI-Native test orchestration and execution platform that allows you to perform both manual and automated testing across 3000+ environments, making it a top choice among other cloud testing platforms.
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