Google Cloud Platform for the Enterprise — Jay Marshall, Vic Iglesias; Google

Whether you are running Spring Apps on Tomcat or Spring Boot on Cloud Foundry, Google Cloud Platform allows you to deploy all of your applications on the same global infrastructure that allows Google to return billions of search results in milliseconds, serve six billion hours of YouTube video per month, and provide storage for almost a billion Gmail users. Join the Google team as they illustrate how Google's cloud was built for the enterprise.
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Spotlight

OTHER ON-DEMAND WEBINARS

Choosing an Analytical Cloud Data Platform: Trends, Strategies & Tech Considerations

Join Doug Henschen, VP and principal analyst at Constellation Research and Thomas Hazel, Chief Technology and Science Officer at ChaosSearch for a broad-ranging discussion on the challenges and strategy considerations that go into choosing the right platform.
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Cloud - what's the point?

Cloud has been on the top of everyone's mind for quite a while already. But is this a good thing? Cloud has many undeniable benefits, but if used inappropriately it could produce more harm than good. In this panel discussion our group of experts will analyse the good, the bad and the ugly of cloud.
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DevOps Practice: Automating The Provision of Cloud Deployments for Terraform

Infrastructure as code is the right direction for your organization, see how env0 helps to automate and simplify the provisioning of cloud deployments for Terraform, Terragrunt and GitOps workflows. As more and more organizations harness the elasticity of cloud infrastructure, the concept of infrastructure as code is becoming the universal method for orchestrating and deploying these modern infrastructures with Terraform as industry standard.
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Trusted AI: Confidence Across the Machine Learning Lifecycle through AI Cloud

Whether it be ethical issues or failure to operate resiliently and deliver ROI, it is crucial that AI systems be governed to minimize risk and earn our trust. With the increasing availability and use of transformative technology, the stakes are higher than ever before. As AI technology matures, so too should our AI lifecycle management practices. Forethought and understanding of the dimensions of trust will not only help mitigate AI system risks, but also reflect your organization’s values and goals.
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