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제목: 구글 클라우드 플랫폼 고객을 위한 새로운 지원 언어 발표 – 일본어 24×7, 한국어 및 중국어 지원

2012년 구글 클라우드 플랫폼의 고객 지원을 시작한 이후로, 우리는 자국어 지원이 제공되지 않는 나라를 포함하여 전세계적으로 수많은 고객들에게 고객 지원을 제공해 왔습니다. 이러한 지속적인 성장 과정에서, 우리는 여러분과 같은 언어를 사용하여 여러분이 필요로 하는 시점에 지원을 제공하는 것이 중요하다는 것을 잘 알고 있습니다. 우리는 글로벌 고객을 위한 새로운 언어 지원을 확보하기 위해 열심히 노력해 왔으며, 그 결과로 다음의 세 가지 지원 옵션을 추가로 발표합니다.중국어 지원 – 베이징 업무 시간 (북경어)한국어 지원 – 서울 업무 시간일본어 지원 – 24×7이제, 골드/프로덕션 또는 플래티넘/엔터프라이즈 지원 패키지를 보유한 고객은 중국어(북경어) 또는 한국어로 고객 지원을 받을 수 있습니다. 한국어로 사례 접수를 하시려면 한국어 지원 페이지를,  중국어 간체로 사례 접수를 하시려면 중국어 간체 지원 페이지를, 중국어 번체로 사례 접수를 하시려면 중국어 번체 지원 페이지를 이용하실 수 있습니다. 한국어와 중국어(북경어) 지원은 현지 시간 평일 오전 9시부터 오후 5시까지 제공됩니다.일본어 24×7 지원은 플래티넘/엔터프라이즈 고객에게 제공됩니다. 이제 긴급한 문제가 발생하면 365일 24시간 언제든지 문의하실 수 있습니다.이러한 변화를 반영하여 기술 지원 서비스 지침을 개정하였으니 참고하시기 바랍니다.구글 클라우드 플랫폼의 매우 소중한 고객인 여러분으로부터 더 많은 의견을 듣고 싶습니다.
Quelle: Google Cloud Platform

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Announcing support in Korean and Chinese, as well as 24/7 support in Japanese for Google Cloud Platform customers

Read this post in Korean here.Read this post in Chinese Simplified here.Read this post in traditional Chinese here.日本語によるお知らせはこちらをご参照ください。Since launching support for Google Cloud Platform in 2012, we’ve seen enormous adoption across the globe, including adoption in countries that did not have a local language support option. As we continue growing, we know it is important that we speak the same language and are available when you need us. We have been hard at work building out new language capabilities for our global customers and today, we’re announcing three additions to our support operations: Chinese support (Mandarin) during Beijing business hours, Korean support during Seoul business hours, and expanded 24/7 support in Japanese.Chinese (Mandarin) and Korean are now available for customers on Gold/Production and Platinum/Enterprise Support packages.To file a case in Korean, visit the Korean support page here.To file a case in Chinese Simplified, visit the Chinese Simplified support page here.To file a case in Chinese traditional, visit the Chinese Traditional support pagehere.  Both Korean and Chinese (Mandarin) support will be available from 9am – 5pm weekdays during local hours.Japanese support is also now available 24/7 for our Platinum/Enterprise customers. You can now contact us in Japanese at any time, 24 hours a day, 7 days a week for any urgent issues you have.We have updated our Technical Support Services Guidelines to reflect the above changes.We look forward to hearing from more of our customers in these important Google Cloud Platform regions.
Quelle: Google Cloud Platform

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標題：谷歌雲端平台發表加設客戶支援語言 – 日語（全天候），韓語和中文

自從2012年谷歌雲端平台推出支援服務以來，我們得到全球廣泛採用，其中包括沒有本地語言支援選項的國家。隨著我們的不斷成長，我們明白與您說同一種語言並且在您需要的時侯能夠提供及時的服務非常重要。我們一直在努力為全球客戶構建新的語言功能，為此，我們今天發表三個新增的支援服務項目：中文（普通話）（北京工作時間内的支援）韓語（首爾工作時間内的支援）日語（全天候支援）中文（普通話）和韓語支援現在對黃金級/正式運作環境（Gold/Production）和白金級/企業支援套餐（Platinum/Enterprise）的客戶開放。若要使用韓語提交案件，請訪問此處的韓語支援頁面。若要使用簡體中文提交案件，請訪問此處的簡體中文支援頁面。若要使用繁體中文提交案件，請訪問此處的繁體中文支援頁面。韓語和中文（普通話）支援將於當地時間工作日上午9時至下午5時提供。日語全天候支援現已對我們的白金級/企業客戶開放。您現在可以隨時與我們聯繫，每週7天，每天24小時，以解決您遇到的任何緊急問題。我們更新了技術支援服務指南，以反映上述更改。谷歌雲端平台非常重視以上市場的客戶。我們期待您可以更多與我們聯繫。
Quelle: Google Cloud Platform

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Google Cloud at I/O: The news you need to know

Each year Google I/O brings together developers from around the globe for talks, hands-on learning, and an inside look at Google’s latest products for developers. This year, we at Google Cloud are celebrating all the ways developers can take advantage of cloud technologies to build the next generation of mobile and web applications. Here’s a look at the key announcements from Google Cloud this week at I/O.Android phone’s built-in security key is now generally availableFIDO security keys provide the strongest protection against phishing and account hijacking and are a must-have for all people who are at risk for targeted attacks, such as IT admins, executives, journalists, and activists. At Next ‘19, we announced beta functionality that lets you use your Android phone as a FIDO security key for your Google and Google Cloud accounts at no additional cost. Today, we are making this feature generally available on phones running Android 7.0+. Admins can also require users to protect their G Suite, GCP and Cloud Identity accounts with a security key, now letting them choose between using a physical security key, their Android phone, or both. To learn more, check out this blog post.Cloud TPU V2 and V3 Pods are now publicly available in betaWe introduced our Cloud TPU Pods to accelerate the largest-scale machine learning (ML) applications, to train ML models in minutes or hours instead of days or weeks. Today, for the first time, our Cloud TPU V2 and V3 Pods are publicly available, in beta, to help ML researchers, engineers, and data scientists iterate faster and train more capable machine learning models. You can learn more by reading this blog post.Updates to Google Maps PlatformWe announced the launch of Google Maps Platform a year ago to provide the next generation of our Maps, Routes, and Places offerings for developers. Over the last 12 months, we’ve increased the stability, reliability, and performance of our platform to meet a 99.9% uptime SLA and provide data for over 150,000 places, routes that cover 40 million miles of road, and maps that cover 99% of the world.Today, we announced support for WebGL-powered data visualization with the open source deck.gl library, designed specifically for visualizing large datasets. Additionally, we opened public beta for the latest version of our Maps SDK for Android, which we migrated to the same infrastructure as Google Maps—making it easier to bring you Google Maps features  in future releases. To learn more, read this blog post.Firebase updates: expanded machine learning capabilities, web performance monitoring, and analytics enhancementsToday, Firebase launched a number of updates to help mobile and web developers by making it easier to build their apps, improve app quality, and grow their businesses. Here are three to know.ML Kit makes machine learning accessible to all app developers, regardless of machine learning experience. Developers can use out-of-the-box APIs to solve common tasks, or host and deploy their own custom models. These models are available on-device or in the cloud, through Google Cloud AI. Today, we’re launching three more capabilities in beta: the Translation API, the Object Detection & Tracking API, and AutoML Vision Edge. These new capabilities complement previous updates including solutions for natural language processing with Language Identification and Smart Reply APIs.Firebase Performance Monitoring is a popular way for developers of native mobile apps to troubleshoot performance issues. Today, Performance Monitoring is available in beta for web apps as well, giving web developers a deeper understanding of how real users are experiencing their app in the wild.Google Analytics for Firebase provides free, unlimited, and robust analytics for developers. Today, we’re announcing a completely rebuilt audience builder with a new interface, including new features like sequences, scoping, time windows, membership duration, and more. With it, you can create audiences for personalization through Remote Config or re-engage them through Cloud Messaging and/or the new App campaigns.For a comprehensive round-up of the Firebase news from I/O, including these announcements and more, read this post on the Firebase blog.Beyond the cloudThere are plenty more updates to come from Google I/O. To stay up to date, follow Google Developers on Twitter, Facebook, or YouTube, or read the Google Developers blog.
Quelle: Google Cloud Platform

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And the winner is: Circular Economy 2030 rewards innovation in sustainability

In 2018, the global demand for natural resources was 1.7 times more than what the Earth can support in one year. Between pollution, consumption, wasted energy and agricultural needs, we are using more ecological resources than the Earth can regenerate. But with the help of modern technology, business can be a positive catalyst for the changes we need to make to build a sustainable future.That’s why we’ve partnered with SAP to host a sustainability contest for social entrepreneurs called Circular Economy 2030. We kicked this contest off at the 2019 World Economic Forum at Davos by inviting thought leaders from around the world to submit a revenue-generating idea that uses both Google Cloud and SAP technology to advance a circular economy—a holistic system that aims to redefine growth, focusing on positive society-wide benefits. It is based on three principles: design out waste, keep products in use, and regenerate natural resources.At the heart of the circular economy concept is the idea of decoupling economic growth from resource use to support sustainable development. It’s the kind of economy that could help generate $4.5 trillion of new economic output by 2030, which is particularly timely given the United Nations’ 2030 Agenda, which consists of 17 sustainable development goals (SDGs) that include ending poverty, establishing gender equality, and taking climate action. Specifically, our Circular Economy 2030 contest is focused on SDG 12: Responsible Consumption and Production.Choosing the Circular Economy 2030 contest winnersIn collaboration with UN Environment, the Ellen MacArthur Foundation, and the Global Partnership for Sustainable Development Data, we reviewed more than 250 applications from more than 50 countries. Applicants’ ideas spanned the breadth of the circular economy, addressing food waste, e-waste, renewable energy, and behavioral change, to name a few. To select the finalists, we worked with leaders from each of our organizations with expertise in cloud computing, sustainability, and sustainable development. The judges include:Alison Wagonfeld, Chief Marketing Officer, Google CloudAlicia Tillman, Chief Marketing Officer, SAPKate Brandt, Google Sustainability Officer, GoogleDaniel Schmid, Chief Sustainability Officer, SAPAndrew Morlet, Chief Executive, Ellen MacArthur FoundationClaire Melamed, Chief Executive Officer, Global Partnership for Sustainable Development DataFatou Ndoye, Deputy Director, UN EnvironmentFollowing our judging selection round, the next step was announcing the five finalists during an interdisciplinary panel session at the Google Cloud Next ’19 conference in San Francisco: “Circular Economy 2030: Cloud Computing for a Sustainable Revolution.” Whether working to track industrial waste flows for increased accountability or addressing rural food waste with solar-powered cold storage, the Circular Economy 2030 finalists all excelled across the assessment criteria of original idea, business model, potential impact, and technical innovation.Here’s more detail about the finalists and their social enterprises:We congratulate each of the winners not only for their insightful proposals, but for their passion for social wellbeing and sustainability. Four of these finalists will receive a prize of $45,000 in funding and in-kind benefits—and the grand prize winner will receive $200,000 in in-kind benefits, plus participation in the Google Cloud for Startups bootcamp.Today, Google Cloud and SAP are thrilled to announce that the grand prize winner of the Circular Economy Contest is Michael Groves, Founder of Topolytics.During the final stage of choosing the winner, the finalists flew out to San Francisco and participated in an in-person solve-a-thon that included both interactive workshops and hands-on problem-solving sessions with Google Cloud and SAP volunteers—all with the goal of preparing for their final presentation pitch. After much deliberation, we selected Topolytics, led by founder Michael Groves. The business idea for Topolytics not only met our judging criteria in terms of originality, but also demonstrated a well-researched proposal with a high potential for advanced application of both Google Cloud and SAP technology. Moreover, we were impressed by Groves’ engagement and willingness to roll up his sleeves during the interactive workshop, where he demonstrated a strong level of commitment to learning and growth. That was especially evident during the final presentation, where Groves incorporated the feedback provided by our teams throughout the weekend.We congratulate Michael and can’t wait to see more from Topolytics. The Circular Economy 2030 contest is over, but the adventure continues. We look forward to ongoing collaboration with these social entrepreneurs, as well as the organizations that supported this initiative. A sustainable future demands that we create change in the present, and it’s an effort we can work on together. Learn more about Circular Economy 2030 and see the latest on sustainability with Google Cloud.
Quelle: Google Cloud Platform

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Google’s scalable supercomputers for machine learning, Cloud TPU Pods, are now publicly available in beta

To accelerate the largest-scale machine learning (ML) applications deployed today and enable rapid development of the ML applications of tomorrow, Google created custom silicon chips called Tensor Processing Units (TPUs). When assembled into multi-rack ML supercomputers called Cloud TPU Pods, these TPUs can complete ML workloads in minutes or hours that previously took days or weeks on other systems. Today, for the first time, Google Cloud TPU v2 Pods and Cloud TPU v3 Pods are publicly available in beta to help ML researchers, engineers, and data scientists iterate faster and train more capable machine learning models.A full Cloud TPU v3 PodDelivering business valueGoogle Cloud is committed to providing a full spectrum of ML accelerators, including both Cloud GPUs and Cloud TPUs. Cloud TPUs offer highly competitive performance and cost, often training cutting-edge deep learning models faster while delivering significant savings. If your ML team is building complex models and training on large data sets, we recommend that you evaluate Cloud TPUs whenever you require:Shorter time to insights—iterate faster while training large ML modelsHigher accuracy—train more accurate models using larger datasets (millions of labeled examples; terabytes or petabytes of data)Frequent model updates—retrain a model daily or weekly as new data comes inRapid prototyping—start quickly with our optimized, open-source reference models in image segmentation, object detection, language processing, and other major application domainsWhile some custom silicon chips can only perform a single function, TPUs are fully programmable, which means that Cloud TPU Pods can accelerate a wide range of state-of-the-art ML workloads, including many of the most popular deep learning models. For example, a Cloud TPU v3 Pod can train ResNet-50 (image classification) from scratch on the ImageNet dataset in just two minutes or BERT (NLP) in just 76 minutes.Cloud TPU customers see significant speed-ups in workloads spanning visual product search, financial modeling, energy production, and other areas. In a recent case study, Recursion Pharmaceuticals iteratively tests the viability of synthesized molecules to treat rare illnesses. What took over 24 hours to train on their on-prem cluster completed  in only 15 minutes on a Cloud TPU Pod.What’s in a Cloud TPU PodA single Cloud TPU Pod can include more than 1,000 individual TPU chips which are connected by an ultra-fast, two-dimensional toroidal mesh network, as illustrated below. The TPU software stack uses this mesh network to enable many racks of machines to be programmed as a single, giant ML supercomputer via a variety of flexible, high-level APIs.2D toroidal mesh networkThe latest-generation Cloud TPU v3 Pods are liquid-cooled for maximum performance, and each one delivers more than 100 petaFLOPs of computing power. In terms of raw mathematical operations per second, a Cloud TPU v3 Pod is comparable with a top 5 supercomputer worldwide (though it operates at lower numerical precision).It’s also possible to use smaller sections of Cloud TPU Pods called “slices.” We often see ML teams develop their initial models on individual Cloud TPU devices (which are generally available) and then expand to progressively larger Cloud TPU Pod slices via both data parallelism and model parallelism to achieve greater training speed and model scale.You can learn more about the underlying architecture of TPUs in this blog post or this interactive website, and you can learn more about individual Cloud TPU devices and Cloud TPU Pod slices here.Getting startedIt’s easy and fun to try out a Cloud TPU in your browser right now via this interactive Colab that enables you to apply a pre-trained Mask R-CNN image segmentation model to an image of your choice. You can learn more about image segmentation on Cloud TPUs in this recent blog post.Next, we recommend working through our Cloud TPU Quickstart and then experimenting with one of the optimized and open-source Cloud TPU reference models listed below. We carefully optimized these models to save you time and effort, and they demonstrate a variety of Cloud TPU best practices. Benchmarking one of our official reference models on a public dataset on larger and larger pod slices is a great way to get a sense of Cloud TPU performance at scale.Image classificationResNet (tutorial, code, blog post)AmoebaNet-D (tutorial, code)Inception (tutorial, code)Mobile image classificationMnasNet (tutorial, code, blog post)MobileNet (code)Object detectionRetinaNet (tutorial, code, blog post)TensorFlow Object Detection API (blog post, tutorial)Image segmentationMask R-CNN (tutorial, code, blog post, interactive Colab)DeepLab (tutorial, code, blog post, interactive Colab)Natural language processingBERT (code, interactive Colab)Transformer (tutorial, Tensor2Tensor docs)Mesh TensorFlow (paper, code)QANet (code)Transformer-XL (code)Speech recognitionASR Transformer (tutorial)Lingvo (code)Generative Adversarial NetworksCompare GAN library, including a reimplementation of BigGAN (blog post, paper, code)DCGAN (code)After you work with one of the above reference models on Cloud TPU, our performance guide, profiling tools guide, and troubleshooting guide can give you in-depth technical information to help you create and optimize machine learning models on your own using high-level TensorFlow APIs. Once you’re ready to request a Cloud TPU Pod or Cloud TPU Pod slices to accelerate your own ML workloads, please contact a Google Cloud sales representative.
Quelle: Google Cloud Platform

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Now generally available: Android phone’s built-in security key

Phishing—when an attacker tries to trick you into turning over your online credentials—is one of the most common causes of security breaches. At Google Cloud Next ‘19, we enabled you to help your users defend against phishing with a security key built into their Android phone, bringing the benefits of a phishing-resistant two-factor authentication (2FA) to more than a billion users worldwide. This capability is now generally available.While Google automatically blocks the overwhelming majority of malicious sign-in attempts (even if an attacker has a username or password), 2FA, also known as 2-Step Verification (2SV), considerably improves user security. At the same time, sophisticated attacks can skirt around some 2FA methods to compromise user accounts. We consider security keys based on FIDO standards, including Titan Security Key and Android phone’s built-in security key, to be the strongest, most phishing-resistant methods of 2FA. FIDO leverages public key cryptography to verify a user’s identity and URL of the login page, so that an attacker can’t access users’ accounts even if users are tricked into providing their username and password.Security keys are now available built-in on phones running Android 7.0+ (Nougat) at no additional cost. That way, your users can use their phones as their primary 2FA method for work (G Suite, Cloud Identity, and GCP) and personal Google Accounts to sign in on Bluetooth-enabled Chrome OS, macOS X, or Windows 10 devices with a Chrome browser. This gives them the strongest 2FA method with the convenience of a phone that’s always in their pocket.As the Google Cloud administrator, start by activating Android phone’s built-in security key to protect your own work or personal Google Account following these simple steps:Add your work or personal Google Account to your Android phone.Make sure you’re enrolled in 2-Step Verification (2SV).On your computer, visit the 2SV settings and click “Add security key”.Choose your Android phone from the list of available devices—and you’re done!When signing in, make sure Bluetooth is turned on on both your phone and the device you are signing in on. You can find more detailed instructions here.To help ensure the highest levels of account protection, you can also require the use of security keys for your users in G Suite, Cloud Identity, and GCP, letting them choose between using a physical security key, their Android phone, or both. We recommend that users register a backup security key to their account and keep it in a safe place, so that they can gain access to their account if they lose their phone. Hardware security keys are available from a number of vendors, including Google with our Titan Security Key.
Quelle: Google Cloud Platform

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Innovating for SAP customers with Google Cloud

The world’s largest businesses run SAP applications, and increasingly, they’re doing it on Google Cloud. Since announcing our partnership with SAP two years ago, we’ve been expanding our support for SAP customers, from providing global virtualized compute infrastructure with 6 and 12 TB instances for SAP HANA workloads to partnerships with solutions providers such as Accenture, Deloitte, Atos, and Hitachi/Oxya that deliver services for application management, migrations and innovation.Today, we’re sharing the latest updates on our partnership and how we’re ensuring Google Cloud is the best place to run SAP workloadsEmpowering more SAP customersMore and more customers are running mission-critical SAP applications on Google Cloud, including ATB Financial, Carrefour and MediaMarktSaturn Retail Group, and we are continuing to see growth with long-time customers including Tory Burch and The Home Depot, who is now running SAP CAR, EWM and BW in production on Google Cloud. At the recent Google Cloud Next ‘19 in San Francisco, McKesson and Metro AG shared insights into why they chose Google Cloud for their SAP landscapes.We also continue to expand our ecosystem in support of SAP customers’ journey to S/4 HANA, by working with partners such as Gekkobrain who help automate custom code migration and SNP Group who help automate data migration. In addition, we have built joint centers of excellence with strategic partners like Accenture, Deloitte, Atos, and Hitachi/Oxya. Together, these partnerships simplify migrations and upgrades for Google Cloud customers.Introducing SAP HANA Enterprise Cloud as a fully managed service on GCPWe’re also delighted that SAP will bring its HANA Enterprise Cloud (HEC) to GCP, allowing HEC customers to take advantage of Google Cloud’s secure, modern and reliable global infrastructure and capabilities in AI, ML, and analytics. HEC will be offered as a fully managed service on GCP, delivering a flexible operating model to help customers reduce operational complexity.For customers that require specific compliance certifications and a specialized set of security practices, we’ve also partnered with SAP NS2 Cloud to deliver Secure HANA Cloud on Google Cloud.Google Cloud at SAPPHIRE NOW 2019If you’re attending SAPPHIRE NOW 2019, May 7-9 in Orlando, Florida, we’d love to say hello. Stop by the Google Cloud booth #1152 and check out our demos covering innovations in analytics, hybrid cloud, retail, healthcare and more. Come meet the SAP on Google Cloud experts in our booth to learn how the cloud can drive agility, risk avoidance, cost reduction and innovation for your SAP environment. Or join us at our sessions to learn all about SAP on Google Cloud. Here are some highlights:Why Google Cloud for SAP — a customer perspectiveTuesday, May 7th, 11:30 AM–12:10 PMGoogle Cloud with ATB FinancialSession ID: 86665SAP on Google Cloud — build a reliable, agile and innovative enterpriseTuesday, May 7th, 2:30 PM–2:50 PMSession ID: 86676Big Data for SAP — capture, consolidate and create with Google CloudTuesday, May 7th, 1:30 PM–1:50 PMSession ID: 86671Reinventing retail with SAP on Google CloudWednesday, May 8th, 1:30 PM–1:50 PMGoogle Cloud with Metro AGSession ID: 86681You can find a complete guide to our participation at SAP SAPPHIRE here, and to learn more about SAP on Google Cloud, visit our website.
Quelle: Google Cloud Platform

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Deepening the Google Cloud and Red Hat collaboration with Red Hat Enterprise Linux 8 Certification

Our collaboration with Red Hat is based on the mutual goal to help our customers bridge their on-premises environments so they can take advantage of the cloud. We’ve continued to work together closely, and have launched integrations that enable Red Hat customers to both use Red Hat Enterprise Linux on Google Compute Engine in a pay-as-you-go manner as well as move eligible Red Hat Enterprise Linux subscriptions to Compute Engine using Red Hat Cloud Access. Today, we’re pleased to announce that Compute Engine is certified for Red Hat Enterprise Linux 8 (RHEL 8), with public images coming soon, for the latest version of the world’s leading enterprise Linux platform, to provide customers with a scalable, safe, and consistent environment for enterprise cloud deployments.New functionality in Red Hat Enterprise Linux 8 on Google Cloud will help customers through:Delivering a moresecure platform for Google Cloud and emerging workloads like machine learning. Red Hat Enterprise Linux8 helps to lower adoption barriers to new technologies while minimizing the attack surface by only deploying packages needed to support your workload.Faster and more consistent delivery in any deployment footprint with native automation. Red Hat Enterprise Linux 8 provides a path to an API-driven control plane with enhanced system design and automation capabilities and integrations.A more straightforward, less disruptive migration process for existing Red Hat Enterprise Linux deployments. The platform enhances the application migration process from earlier versions to Red Hat Enterprise Linux 8 so you can take advantage of its latest innovations.Easing the transition to and powering the adoption of container, machine learning, and key database workloads. Red Hat Enterprise Linux 8 is optimized to support your critical workloads including some of the latest technologies like containers and AI/ML.Google Cloud is excited to build on its hybrid cloud alliance with Red Hat, which we announced in November 2013 when Google Cloud became only the second Red Hat Certified Cloud Provider to join the Red Hat Cloud Access Program.What started as enabling our customers to move Red Hat Enterprise Linux workloads to Compute Engine back in 2014 has quickly grown into a truly strategic relationship across multiple technologies including open source and Kubernetes, Red Hat OpenShift Container Platform on Google Cloud, and Red Hat Ansible Automation on Google Cloud, just to name a few. Through our extensive work together, enterprises using Red Hat technologies including Red Hat Enterprise Linux 8 are able to build a truly hybrid cloud environment that unifies their on-premises and Google Cloud infrastructure.”Furthering enterprise-grade innovation, from hybrid cloud to emerging workloads like AI and containers, is at the heart of Red Hat’s strategic collaboration with Google Cloud. Red Hat Enterprise Linux 8 is Red Hat’s vision for the operating system as the foundation of the hybrid cloud, and we’re pleased to have the support of Google Cloud as we bring this innovation engine to our mutual customers.” – Stefanie Chiras, Vice President and General Manager, Red Hat Enterprise Linux, Red HatAs part of the Red Hat Enterprise Linux 8 ecosystem, Google Cloud is also a member of Red Hat Partner Connect, a program designed for commercial organizations offering hardware and software solutions certified for Red Hat’s portfolio of hybrid cloud and cloud-native products. The program offers partners an opportunity to gain the necessary expertise with Red Hat technologies through access to releases and developer support, as well as key resources needed to test, certify, and publish solutions that make use of Red Hat products.To learn more about our work with Red Hat, please visit this site and read their blog.
Quelle: Google Cloud Platform

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Deepening our Partnership with Red Hat with Red Hat Enterprise Linux 8 Certification

Our collaboration with Red Hat is based on the mutual goal to help our customers bridge their on-premises environments so they can take advantage of the cloud. We’ve continued to work together closely, and have launched integrations that enable Red Hat customers to both use Red Hat Enterprise Linux on Google Compute Engine in a pay-as-you-go manner as well as move eligible Red Hat Enterprise Linux subscriptions to Compute Engine using Red Hat Cloud Access. Today, we’re pleased to announce that Compute Engine is certified for Red Hat Enterprise Linux 8 (RHEL 8), with public images coming soon, for the latest version of the world’s leading enterprise Linux platform, to provide customers with a scalable, safe, and consistent environment for enterprise cloud deployments.New functionality in Red Hat Enterprise Linux 8 on Google Cloud will help customers through:Delivering a moresecure platform for Google Cloud and emerging workloads like machine learning. Red Hat Enterprise Linux8 helps to lower adoption barriers to new technologies while minimizing the attack surface by only deploying packages needed to support your workload.Faster and more consistent delivery in any deployment footprint with native automation. Red Hat Enterprise Linux 8 provides a path to an API-driven control plane with enhanced system design and automation capabilities and integrations.A more straightforward, less disruptive migration process for existing Red Hat Enterprise Linux deployments. The platform enhances the application migration process from earlier versions to Red Hat Enterprise Linux 8 so you can take advantage of its latest innovations.Easing the transition to and powering the adoption of container, machine learning, and key database workloads. Red Hat Enterprise Linux 8 is optimized to support your critical workloads including some of the latest technologies like containers and AI/ML.Google Cloud is excited to build on its hybrid cloud alliance with Red Hat, which we announced in November 2013 when Google Cloud became only the second Red Hat Certified Cloud Provider to join the Red Hat Cloud Access Program.What started as enabling our customers to move Red Hat Enterprise Linux workloads to Compute Engine back in 2014 has quickly grown into a truly strategic relationship across multiple technologies including open source and Kubernetes, Red Hat OpenShift Container Platform on Google Cloud, and Red Hat Ansible Automation on Google Cloud, just to name a few. Through our extensive work together, enterprises using Red Hat technologies including Red Hat Enterprise Linux 8 are able to build a truly hybrid cloud environment that unifies their on-premises and Google Cloud infrastructure.”Furthering enterprise-grade innovation, from hybrid cloud to emerging workloads like AI and containers, is at the heart of Red Hat’s strategic collaboration with Google Cloud. Red Hat Enterprise Linux 8 is Red Hat’s vision for the operating system as the foundation of the hybrid cloud, and we’re pleased to have the support of Google Cloud as we bring this innovation engine to our mutual customers.” – Stefanie Chiras, Vice President and General Manager, Red Hat Enterprise Linux, Red HatAs part of the Red Hat Enterprise Linux 8 ecosystem, Google Cloud is also a member of Red Hat Partner Connect, a program designed for commercial organizations offering hardware and software solutions certified for Red Hat’s portfolio of hybrid cloud and cloud-native products. The program offers partners an opportunity to gain the necessary expertise with Red Hat technologies through access to releases and developer support, as well as key resources needed to test, certify, and publish solutions that make use of Red Hat products.To learn more about our work with Red Hat, please visit this site and read their blog.
Quelle: Google Cloud Platform