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Welcome to our comprehensive DevOps tutorial on optimizing Kubernetes infrastructure! In this video, we will delve into the challenges faced by DevOps professionals when managing complex and dynamic Kubernetes environments. Specifically, we'll focus on the issue of idle resources and provide you with four effective techniques to minimize them with Spot Ocean.

With Pulumi you can easily provision Kubernetes resources on any cloud and take advantage of the optimization capabilities of Spot Ocean. This enables end-to-end, fully automated deployments that are both scalable and cost-effective.

AI is at the heart of a revolution in the technology space. Organisations from all industries are looking for ways to put AI to work. Once they have finalised use case assessment, their next question is typically related to the environment they will use to develop and deploy their AI initiatives. They often prefer the public clouds as an initial environment, because of the computing power and ability to scale as projects mature. In addition to the infrastructure, enterprises need software where they can develop and deploy the machine learning models.

Page object models (POM) are common to encapsulate test automation logic and improve code readability. Learn in this video how to combine POMs and Playwright fixtures for effective end-to-end testing and synthetic monitoring with an excellent developer experience. Got questions? Join the Checkly community Slack. And tune in next week for more on Playwright, Synthetic Monitoring, and API Monitoring. Happy testing!