How to Scale Automated Testing Beyond CI/CD Pipelines
Platform Engineering via YouTube
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Explore the architectural limitations of CI/CD pipelines in this 48-minute webinar and discover why they struggle with modern automated testing demands as AI-driven development accelerates release cycles. Learn how traditional CI/CD systems, originally designed for builds and deployments rather than large-scale test execution, are creating bottlenecks with slower feedback loops, brittle environments, and escalating infrastructure costs. Understand the specific gaps in scalability, visibility, and reliability that emerge when rapid release cycles meet legacy pipeline architectures. Examine how leading engineering organizations are addressing these challenges by unifying test insights across multiple tools, implementing Kubernetes-native approaches to eliminate flaky test environments, and optimizing resource allocation to reduce infrastructure expenses. Discover the emerging paradigm of purpose-built continuous testing platforms that are specifically engineered for speed, scale, and AI-enhanced delivery workflows, enabling development teams to maintain both quality standards and velocity in their software delivery processes. Gain insights from Ole Lensmar, CTO at Testkube and creator of SoapUI, who brings decades of experience in API testing and cloud-native continuous testing solutions to help organizations transition beyond traditional CI/CD limitations toward more effective testing architectures.
Syllabus
How to scale automated testing beyond CI/CD pipelines
Taught by
Platform Engineering