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Latest Videos

Down the AI Rabbit Hole: Leveraging AI in Your Projects Without Ending Up Lost in Wonderland

Generative AI is transforming the world around us, and is quickly becoming a part of the conversation as we greenfield new features and applications. It is very alluring to deliver AI features into our existing products, and think about new projects we might build around AI. However, you might have already found that the journey into the realm of AI often feels like tumbling down the rabbit hole into wonderland - a maze of complexity and uncertainty.

Which Language Should Testers Use?

Should you design tests in the same language as the application you’re testing, or should you use the language you’re best at? @Hanson Ho recommends using the language that’s most popular in the application’s platform. This way, you’ll have more help available from the community. If you want more insights like this one, check out Test Case Scenario.

Snowflake: Automate tuning for data cloud speed and scale

40% of companies surveyed will increase their AI investment because of advances in GenAI (McKinsey). And 80% plan to maintain or increase their investment in data quality/observability (dbt). With this in mind, Unravel is hosting a live event to help you leverage data observability to achieve speed and scale with Snowflake. Join Unravel Data for this event about automating tuning with AI-powered data performance management for Snowflake with Eric Chu, Unravel Data VP of Product, and Clinton Ford, Unravel Data VP of Product Marketing.

New features in Helix Core and P4V 2024 #perforce #devops #versioncontrol #branching

Learn about the newest features in Helix Core and P4VIn our latest updates, you can now accelerate your development with lightweight branching via Sparse Streams and improve performance with backup-eligible partitioned workspaces ️

AI for APIs: Unlock Growth and Efficiency

AI-powered tools can enhance API marketplace management by automating various tasks such as API discovery, onboarding, and governance. Advanced recommendation systems can match developers with relevant APIs based on their preferences and project requirements, facilitating faster adoption and increasing transaction volumes within the marketplace.

Using Klocwork as a Quality Gate in GitLab

Perforce's Klocwork static analysis tool can be used as a quality gate in any CI environment. Klocwork acts as a quality gate by analyzing code and preventing the code from moving forward if the quality criteria are not met. In this video, we demonstrate the use of Klocwork in a GitLab environment to illustrate the CI workflow, and how you can use Klocwork to require the pipeline to pass before merging code.

Export STIG Rule Violations via Klocwork's Desktop STIG Viewer

In this video, we show you how to export STIG rule violations to the Klocwork Desktop STIG Viewer, and how to display a complete list of all the vulnerabilities discovered during a static analysis of your code. Klocwork’s coverage for the DISA STIG rules is especially useful for federal accounts that have an obligation to demonstrate NIST RMF compliance for software to be deployed in a federal environment (e.g., the U.S. DoD).