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At Google, we engage regularly with customers, regulators, policymakers, and other stakeholders to provide transparency into our operations, policies, and practices and to further strengthen our commitment to privacy compliance. One such engagement is our ongoing work with the Dutch government regarding its Data Protection Impact Assessment (DPIA) of Google Workspace and Workspace for Education.As a result of that engagement, today Google is announcing our intention to offer new contractual privacy commitments for service data1 that align with the commitments we offer for customer data.2 Once those new commitments become generally available, we will process service data as a processor under customers’ instructions, with the exception of limited processing3 that we will continue to undertake as a controller. We will provide further details as we implement these updates – planned for Google Workspace, Google Workspace for Education and Google Cloud4 services – beginning in 2023 and in successive phases through 2024.In parallel, Google is working to develop a version of Chrome OS (including Chrome browser running on managed Chrome OS devices) for which Google will offer similar processor commitments. In line with our goal of giving customers greater transparency and control over their data, we’re aiming to provide this updated version of Chrome OS, once it’s complete, to our enterprise and education customers around the world. We recognise that privacy compliance plays a crucial role in earning and maintaining your trust, and we will continue to work diligently to help make compliance easier for your business as you use our cloud services. To learn more about our approach to privacy compliance, please visit our Privacy Resource Center.1. Service Data is defined in the Google Cloud Privacy Notice as the personal information Google collects or generates during the provision and administration of the Cloud Services, excluding any Customer Data and Partner Data.2. Customer Data means data submitted, stored, sent or received via the services by customer or end users, as further described in the applicable data processing terms.3. For example, billing and account management, capacity planning and forecast modeling, detecting, preventing and responding to security risks and technical issues.4. Formerly known as Google Cloud Platform.Related ArticleAn update on Google Cloud’s commitments to E.U. businesses in light of the new E.U.-U.S. data transfer frameworkGoogle Cloud welcomes the new data transfer framework deal agreed by the E.U./U.S. and explains how we support customers to further prote…Read Article
Quelle: Google Cloud Platform

18. Juni 2022

da Agency

Google Workspace, GKE help startup CAST AI grow faster and optimize cloud costs

In many ways, serial entrepreneur Gil Laurent and his technology startups have grown alongside Google Workspace and Google Cloud. When he was CEO and co-founder of Ukraine-based Viewdle — a machine learning and computer vision startup that was acquired by Google in 2012 — the organization relied on Google Workspace for many of its collaboration needs, trading the complexity of email attachments and file versions for the cloud-synced availability of documents in Google Drive. A similar story played out a few years later when he co-founded Zenedge — a cybersecurity company focused on the edge of the network — which was acquired by Oracle in 2018. Zenedge still used a handful of other services to round out meetings and collaboration, but Google Workspace was the foundation. In 2019, when co-founding his latest venture — cloud cost management startup CAST AI — Laurent saw that he didn’t have to pay for additional services, as Google Workspace’s product suite included everything needed to connect his teams and workstreams. From onboarding new employees and getting them connected to their corporate email, to real-time collaboration and video conferencing, Google Workspace offered everything. “As a young startup, there was only one place to start—Google Workspace,” recalled Laurent, who now serves as the company’s chief product officer. “We did not even consider anything else.”Google Workspace is only one part of CAST AI’s Google product adoption, however. “Our whole business runs on GKE on Google Cloud,” Laurent said. 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 AIaccelerate their journey — from connecting and collaborating to building and innovating — visit our startups solutions pages for Google Workspace and Google Cloud.Related ArticleWhy managed container services help startups and tech companies build smarterWhy managed container services such as GKE are crucial for startups and tech companies.Read Article
Quelle: Google Cloud Platform