2023年5月7日,

产品营销经理、技术和创业公司,谷歌云在许多方面,企业家吉尔·劳伦特和他的技术创业公司已经与谷歌工作区和谷歌云。首席执行官兼联合创始人时提起Viewdle——机器学习和计算机视觉启动,2012年被谷歌收购——组织依赖于谷歌的工作区协作需求,交易的复杂性邮件附件和文件版本Google Drive cloud-synced可用的文档。一个类似的故事上演几年后当他创立Zenedge——一家网络安全公司专注于网络的边缘——在2018年被甲骨文收购。Zenedge仍然使用少量的其他服务轮会议和协作,但谷歌工作是基础。2019年,当他与人共同创立了最新的风险——云成本管理启动投AI - Laurent见他不需要支付额外的服务,如谷歌工作空间的产品套件包括所有需要连接他的团队和工作流。新员工培训新员工,让他们与他们的公司电子邮件、实时协作和视频会议,谷歌工作区提供一切。“作为一个年轻的公司,只有一个地方创立google工作区,”劳伦特回忆道,他现在担任公司的首席产品官。“我们甚至没有考虑别的。“谷歌工作空间只有一个演员的一部分艾未未的谷歌产品推广,然而。“我们整个的业务运行在GKE谷歌云,”劳伦说。 The company was up and running on GKE (Google Kubernetes Engine) almost immediately after rolling out Google Workspace, and Laurent recalls a smooth transition. “It was very natural for everyone.” CAST AI is an end-to-end Kubernetes Automation and Management platform that helps businesses optimize their cloud costs by 63% on average. With an approach built on container orchestration, a product like GKE was necessary to efficiently run the company’s workloads and services. Laurent explained that at Zenedge, the company struggled to understand how to control its cloud costs as it experienced growth: “We started out spending thousands per month with 10 engineers, which seemed right. But three years later, after continued growth, we were spending millions. We didn’t understand why. The bill could be 100 pages long.” When founding CAST AI, Laurent addressed this frustration head on, using containers to ensure their customers’ cloud resources weren’t going unused at such high rates. “Containers can be moved around, so you can optimize deployment to make them busy most of the time while eliminating waste,” Laurent said. “We knew we had to include automation. You can tell someone that they’re using 1,000 VMs and that 50 could be used better or more efficiently if moved to a different instance type — but in DevOps, who does this? The opportunities for optimization change daily and people are afraid of breaking things. We knew we had to find a way to offer not just observability but automated management.” Choosing GKE was “easy because Google invented Kubernetes, and GKE is the state of the art, with its implementation of the full Kubernetes API, autoscaling, multi-cluster support, and other features that set the trend.” Laurent added that the company also took advantage of the Google for Startups Cloud Program to scale up its business by tapping into extended benefits like tailored mentorship and coverage for their Google Cloud usage for two years. Many startups adopt Google Workspace to connect and engage in real-time with their teams, but quickly learn that leveraging other Google offerings — such as cloud solutions and the Google for Startups Cloud Program — can be very helpful to further their startup's growth. For CAST AI, the combination of GKE on Google Cloud and Google Workspace proved especially valuable because the company was founded in late 2019, just months before the global pandemic began. The CAST AI team needed sophisticated cloud services to build their product, in addition to collaboration and productivity tools that could accommodate remote workers in different countries. “The idea that you can work in any place at any time without tradeoffs, whether you’re in Madrid or Miami — that helps a lot,” Laurent said. “Without GKE and Google Workspace, I am not sure we could have achieved all that we have so far.” To learn more about how Google Workspace and Google Cloud help startups like CAST AI accelerate their journey — from connecting and collaborating to building and innovating — visit our startups solutions pages for Google Workspace and Google Cloud .