Learn how to create a test pipeline in DevOps in this step-by-step guide.

See how Lippia.io fits into your DevOps workflow https://testguild.me/pipeline

We cover CI/CD, Gitleaks, SonarQube and more for optimal code quality and efficiency. Perfect for anyone looking to implement real-world DevOps practices!

Today we have a special treat for all DevOps and DevSecOps enthusiasts. Joining us is Javier Alejandro Re, CEO of Crowder and founder of lipia.io, with over 15 years of experience in technology and business.

In this video, you'll learn how to build a real-world DevOps pipeline that seamlessly integrates qualitative and non-functional requirements. From code quality checks with tools like SonarQube to advanced security scanning and automated functional testing, Javier explains everything you need to know to continuously improve your software quality. Watch the video to the end to see the recommended tools for each stage of your pipeline along with examples.

We explore the four essential phases of a DevSecOps pipeline: code quality checks, security scans, functional testing, and performance testing. Javier also provides valuable insights into tools like Git Leaks, Cloud, Trivy, Defecto, and k6 and how to integrate them into your pipeline to effectively detect and remediate vulnerabilities.

Stay tuned to learn the practical steps you can take to start your DevOps journey. These steps are straightforward and actionable and will enable you to maintain a high-quality codebase and ensure your microservices meet expected response times. Don't miss exploring additional resources like lipia.io and their GitHub repository, and learn about a 30-day trial offer for their test manager tool.

So if you want to improve your DevOps pipeline and stay one step ahead, this episode is packed with actionable insights. Dive in!

00:00 Focus on quality testing in software delivery.
04:37 Code smells impact security and maintainability. Unit testing is essential for detecting bugs. SonarQube scans and enforces code quality standards.
07:34 Unit test results and code coverage analysis.
13:48 Improving code scanning and prioritizing vulnerability remediation.
17:04 Scanner identifies infrastructure vulnerabilities beyond the code and consolidates results
21:29 Tracking vulnerabilities in libraries helps mitigate risks using statistics.
24:36 Follow the evolution of automated functional test metrics.
26:17 k6 ensures the expected response times for performance tests.
31:05 Code quality checks and test automation are crucial.
33:09 Share tools and code and avoid collaboration overload.

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