Skincare Firm Scales 4X in Minutes with SAP on Google Cloud - Build What's Next

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Case Study

Skincare Firm Scales 4X in Minutes with SAP on Google Cloud

As the number one skincare brand in the United States, Rodan + Fields must support its team of over 300,000 of independent contractors as well as work to ensure a really personalized experience for customers. To keep pace with the company’s growth, Rodan + Fields realized it needed a more modern, scalable platform for its SAP environment.

After implementing both SAP ERP and SAP Hybris on Google Cloud, Rodan + Fields can focus on its business instead of infrastructure. It can scale four times its size in less than five minutes. Also, BigQuery is now used for data analysis to support critical business decisions.

With SAP on Google Cloud consultants can have 100% confidence that Rodan + Fields systems will provide them the insight, data and tools to succeed.

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Efficient, Safe and Dynamic Gaming Experience: Aristocrat’s Digital Journey on Google Cloud

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Gaming company and its subsidiaries tapped into new markets and new users which required centralized platform to monitor data and application security across systems. Google Cloud and Splunk addressed this requirement and ups the gaming experiences!

Since Aristocrat’s founding in 1953, technology has constantly transformed gaming and the digital demands on our gaming business are a far cry from challenges we faced when we started. As we continue to expand globally, security and compliance are top priorities.

Managing IT security for several gaming subsidiaries and our core business became more complex as we entered into new markets and scaled up our number of users. We needed a centralized platform that could give us full visibility into all of our systems and efficient monitoring capabilities to keep data and applications secure. We also needed the ability to secure our systems without compromising user experiences.

We turned to Google Cloud and Splunk to better manage complexity and support highly efficient, secure, and more dynamic gaming experiences for everyone. We are committed to using today’s modern technologies to give players more optimal experiences.

Bringing our digital footprint into the cloud


When we set out on our digital transformation, we looked to address many business requirements.

These requirements included:

  • Regulation: We wanted a platform that could efficiently address our industry’s stringent and global regulatory compliance requirements.
  • Player experience: Our IT environment must support smooth gaming experiences to keep users engaged and satisfied.
  • Scalability: As we grow and diversify, meeting the changing demands of an increasingly global gaming community, we need an easily scalable platform to align with our current and future needs.

Google Cloud offered us the perfect foundation through solutions such as Compute Engine, Google Kubernetes Engine, BigQuery, and Google Cloud Storage. These acted as the right infrastructure components for us for the following reasons:

  • Google Cloud is globally accessible and supports compliance, helping to streamline security and regulatory processes for our team.
  • With Google Cloud, we can manage our entire development and delivery processes globally with fast and efficient reconciliation of regional compliance requirements.
  • When we need to adjust existing infrastructure or deliver new capabilities, Google Cloud accelerates the process and takes the heavy lifting off of our team.
  • Google Cloud allows us to support tens of thousands of players on each of our apps while experiencing minimal downtime and low latency. The importance of this support can’t be underestimated in an industry where players have little to no patience if lags in games occur.

We migrated our back-office IT stack alongside our consumer-facing production applications to Google Cloud given our positive experiences with compliance, security, scalability, and process management. This migration has significantly accelerated our digital transformation while streamlining our infrastructure for faster and more cost-effective performance.

In many ways, Google Cloud has been, with maybe a pun intended, a game-changer for us. For instance, when we suddenly had to support a lot of remote work during the COVID-19 pandemic, native identity and access management tools in Google Cloud allowed us to retire costly VPNs used for backend access and quickly adopt a more easily managed, cost-effective zero-trust security posture.

Accessing vital third-party partners and managed services


Aristocrat has many IT needs best addressed in a multi-cloud environment. Google Cloud is particularly attractive given its strong cloud interoperability, as well as the many products and services available on Google Cloud Marketplace. The marketplace accelerated our deployment of key third-party apps including Splunk and Qualys.

Given the personal information we store and the global regulatory compliance statutes we must oblige, security lies at the heart of our business. Splunk is a critical component of our digital transformation because it offers solutions that provide the enhanced monitoring capabilities and visibility we need. The integration between Splunk and Google Cloud gives us confidence that our data is secure. We know our data can be secure in Google Cloud, while simplified billing through Google Cloud Marketplace makes payments and license tracking easier for our procurement team.

As part of our protected environment, we use the Splunk platform as our security information and event management system, leveraging the InfoSec app for Splunk that provides continuous monitoring and advanced threat detection to significantly improve our security.

We can manipulate and present data in Splunk in a way that provides us with a single pane-of-glass for our hybrid, multi-cloud environment and our third-party apps and systems. Splunk observability tools have likewise helped us to track browser-based applications like our online gaming apps to monitor details related to security and performance.

Splunk and Google Cloud have transformed how we operate. We can now quickly ingest and analyze data at scale within our refined approach to security management by offloading software management to Splunk and Google Cloud. This ability enables us to approach security more strategically, and positions us to integrate more AI/ML capabilities into our products for even greater governance and performance.

This is just the beginning of our journey with Splunk and Google Cloud. We’re excited to see the innovation we can continue bringing to the gaming community worldwide.

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7 Fantastic Ways Google Cloud VMWare Engine Stands Out from the Rest for Running VMWare Workloads in the Cloud!

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Google Cloud migration for VMware workloads impacts savings 38 percent in TCO. Still considering the pros of Google Cloud VMWare Engine? Here are seven customer-centric innovations in its infrastructure that makes its ideal for Vsphere workloads!

Google Cloud VMware Engine delivers an enterprise-grade, cloud-native VMware experience that is built on Google Cloud’s highly performant and scalable infrastructure. By enabling a consistent VMware experience, the service allows customers to adopt Google Cloud rapidly, easily, and with minimal modifications to their vSphere workloads, bringing the best of VMware and Google Cloud together on one platform for a variety of use-cases. These include rapid data center exit, application lift and shift, disaster recovery, virtual desktop infrastructure, or modernization at your own pace.

Here are seven ways VMware Engine outshines alternatives for running your VMware workloads in the cloud, simplify your operations, and help you innovate faster:

  1. Dedicated 100Gbps east-west networking
    Google Cloud VMware Engine nodes come with redundant switching and dedicated 100Gbps east-west networking with no oversubscription of bandwidth, unlike other options where there is generally oversubscription. This is especially important when it comes to running latency-sensitive workloads.
  2. Four 9’s of availability in a single zone
    The service offers 99.99% uptime SLA for a cluster in a single Zone with five to 16 nodes and FTT=2 or more without the need for stretched clusters, which is higher than the alternatives. Further, dedicated connectivity for core service functions such as vSAN and vMotion enables better solution stability and availability. This enables the service to support the needs of enterprise workloads that require high availability.

Note: “Cluster” means a deployment of three or more dedicated bare metal nodes running VMware ESXi and associated networking managed via management interfaces.

  1. Global networking without complex routing
    Google Cloud VMware Engine networking is built based on Google Cloud’s powerful networking architecture. With simplified regional and global routing modes—which allow a VPC’s subnets to be deployed in any region where our service is available—you can architect global networks without the need or overhead of creating and connecting regional network designs. You get instant, direct Layer 3 access between them. In alternative cloud environments, you may have to configure special networking between regions, often requiring VPN-based tunnels over the WAN to enable global uniform network communication. This adds to the deployment and operational complexity, in addition to cost.
  2. Integrated multi-VPC networking
    Users often have application deployments in different VPC networks, such as separate dev/test and production environments or multiple administrative domains across business units. The service supports “many-to-many” access from VPC networks to Google Cloud VMware Engine networks with multi-VPC networking, allowing you to retain existing deployed architectures and extend them flexibly to your VMware environments. In addition, by providing multi-VPC networking, you can pool their VMware needs—say for QA and dev—to a smaller set of clusters, effectively reducing their costs.

For more information about the end-to-end networking capabilities and services available in Google Cloud VMware Engine, please refer to the Private Cloud Networking for Google Cloud VMware Engine whitepaper. Here, you’ll find details about network flows, configuration options, and the differentiated benefits of running your VMware workloads in Google Cloud.

  1. Unified, cloud-integrated model
    Google Cloud VMware Engine is a fully managed Google first-party service, operated and supported by Google and its world-class team. With fully integrated identities, billing, and access control, you have a simpler end-to-end experience that is different from other services. You access Google Cloud VMware Engine service via the Google Cloud console, like any other Google Cloud service. You can also access other native Google Cloud services privately from your VMware private cloud running in Google Cloud VMware Engine over local connections.
  2. Flexibility in third-party ecosystem compatibility
    With Google Cloud VMware Engine, you can set up existing VMware on-premises third-party tools or products that require additional privileges by using a solution user account. This uniquely enables operational consistency, ensuring that the tools you have invested in and used over the years work on Google Cloud VMware Engine. Furthermore, in key areas such as vSAN data encryption, you have the choice of not only using Google Cloud Key Management Service (KMS)—which is turned on by default on vSAN datastores—but also external KMS providers such as HyTrust, Thales, and Fortanix.
  3. Dense nodes with high storage:core and memory:core ratios and fast provisioning
    Google Cloud VMware Engine nodes are dense. Each node is powered by Intel® Xeon® Scalable Processors and comes with 36 cores, 72 hyperthreaded cores, 768 GB memory, 19.2 TB NVMe data and 3.2 TB NVMe cache storage. This, along with oversubscription, leads to high consolidation ratios and compelling storage:core per dollar and memory:core per dollar. In addition, you can rapidly spin up these nodes in a VMware private cloud often in under an hour, enabling on-demand, VMware-consistent capacity in Google Cloud for your needs.

These are just a few examples of customer-centric innovation that set Google Cloud VMware Engine infrastructure apart. In addition, migrating to Google cloud can save you up to 38% in TCO. Get started by learning about Google Cloud VMware Engine and your options for migration, or talk to our sales team to join the customers who have embarked upon this journey.

The authors would like to thank the Google Cloud VMware Engine product team for their contributions on this blog.

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Towards The Next Wave of Google Cloud Infrastructure Innovation: New C3 VM and Hyperdisk

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Google Cloud redefines cloud infrastructure with the cutting-edge C3 VMs and Hyperdisk storage, accelerating performance, improving efficiency and paving the way for automation in cloud management. Read more...

Meeting the rapidly growing demands of our customers’ high performance computing and data-intensive workloads requires deep innovation — at Google Cloud, we know we can’t rely on ever-faster CPUs alone, like Moore’s Law has enabled in the past. Customers can either optimize their workloads for a given platform, or we can offer them a platform that is optimized for their specific needs. At Google Cloud, we choose the latter.

Today, we have an exciting new release resulting from these efforts: the new C3 machine series powered by the 4th Gen Intel Xeon Scalable processor and Google’s custom Intel Infrastructure Processing Unit (IPU). Along with the recently announced Hyperdisk block storage which offers 80% higher IOPS per vCPU for high-end database management system (DBMS) workloads when compared to other hyperscalers. C3 machine instances can deliver strong performance gains to enable high performance computing and data-intensive workloads. Customers such as Snap, for example, have seen approximately a 20% increase in performance for a key workload over the previous generation C2.

The C3 machine series is just the latest example of this architectural approach. For over two decades, Google has purpose-built and designed some of the world’s most efficient and scalable computing systems to meet the needs of our customers. We built the Tensor Processing Unit (TPU) to power real-time voice search, photo object recognition, and interactive language translation; unveiled Titan, a secure, low-power microcontroller to help ensure that every machine boots from a trusted state; and launched Video Coding Units (VCUs) to enable video distribution that addresses a range of formats and client requirements. We engineer golden paths from silicon to the console, using a combination of purpose-built infrastructure, prescriptive architectures, and an open ecosystem to deliver what we term workload-optimized infrastructure.

Getting to know the C3 machine series

The Compute Engine C3 machine series, now available in Private Preview, is the first VM in the public cloud with the 4th Gen Intel Xeon Scalable processor and with Google’s custom Intel IPU. C3 machine instances use offload hardware for more predictable and efficient compute, high-performance storage, and a programmable packet processing capability for low latency and accelerated, secure networking.

“We are pleased to have co-designed the first ASIC Infrastructure Processing Unit with Google Cloud, which has now launched in the new C3 machine series. A first of its kind in any public cloud, C3 VMs will run workloads on 4th Gen Intel Xeon Scalable processors while they free up programmable packet processing to the IPUs securely at line rates of 200Gb/s. This Intel and Google collaboration enables customers through infrastructure that is more secure, flexible, and performant.” – Nick McKeown, Senior Vice President, Intel Fellow and General Manager of Network and Edge Group

The System on a Chip hardware architecture introduced in C3 VMs can enable better security, isolation, and performance. In the future, this purpose-built architecture will also allow us to offer a richer product portfolio, such as support for native bare-metal instances.

Hyperdisk block storage and 200 Gbps networking

Block storage and VMs go hand in hand. Last month, we announced the Preview release of Hyperdisk, our next-generation block storage. The new architecture decouples compute instance sizing from storage performance to deliver 80% higher IOPS per vCPU than other leading hyperscale cloud provider. And compared with the previous generation C2, C3 VMs with Hyperdisk deliver 4x higher throughput and 10x higher IOPS. Now, you don’t have to choose expensive, larger compute instances just to get the storage performance you need for data workloads such as Hadoop and Microsoft SQL Server.

To enable high performance computing workloads, C3 VMs also feature 200 Gbps low-latency networking powered by our custom IPU, as well as line-rate encryption using the open source PSP protocol.

What our customers and partners are saying


“We were pleased to observe a 20% increase in performance over the current generation C2 VMs from Google Cloud in testing with one of our key workloads. These continued performance improvements enable better end user experience and application cost efficiency.” – Aaron Sheldon, Sr. Software Engineer, Snap Inc.

“Based on the initial performance data, running weather research and forecasting (WRF) on C3 clusters can deliver as much as 10x quicker time to results for about the same computational cost. This will significantly accelerate R&D for our customers in weather, environment, and engineering domains.” — Michael Wilde, CEO, Parallel Works Inc.

“In early testing with our flagship products, including Ansys Fluent, Mechanical and LS-DYNA, on the new Google Cloud C3 VM, we’re seeing up to 3x performance gains over C2 VMs due to higher memory bandwidth and lower network latency.” – Shane Emswiler, Senior Vice President of Products, Ansys

Where we are headed

With the exponential rise in the complexity of cloud infrastructure, we as an industry must turn to automation to manage these platforms efficiently at scale. Along with Infrastructure as Code, custom chips like the Titan, the TPU and the IPU, pave the way for a not-so-distant future where we’ll automate over half of all infrastructure decisions, configuring systems dynamically in response to usage patterns. At Google Cloud, we are committed to continuing our long history of hardware innovation with a focus on workload optimization and automation.

To learn more about C3 VMs and Hyperdisk, check out our session at NEXT ‘22, How Google Cloud optimizes infrastructure for your workloads. To request access to the C3 VMs or Hyperdisk, please reach out to your sales representative or account manager.

Case Study

Sainsbury’s Uses AI to Figure Out How the World Eats

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Sainsbury’s, one of Britain’s best-known supermarkets, is leveraging Google Cloud machine learning platform to take data from multiple structured and unstructured sources, then ingest, clean and classify that data. A custom-built front-end interface now allows Sainsbury’s employees to seamlessly navigate through a variety of filters and categories, giving the company advanced insights in real time.

Retail will forever be an industry that must constantly reinvent itself in response to, and anticipation of, ever-changing consumer demands.

Digital transformation is fueling these changes and we’ve previously spoken about how businesses including Ulta Beauty and Kohl’s are taking advantage of Google Cloud to put data at the center of what they do and deliver the best possible shopping experience and product offerings for their customers.

Leveraging Google Cloud machine learning platform, Sainsbury is able to develop predictive analytics models to spot trends and adjust inventory, providing shoppers with a better experience. 

Sainsbury’s, one of Britain’s best-known supermarkets, is another great example of a business transforming the way it engages with its customers with the cloud.

With over 150 years of service, Sainsbury’s vision is to be the most trusted retailer, where people love to work and shop. It makes customers’ lives easier, by offering great quality and service at fair prices. 

The food industry and the way that customers shop is rapidly changing. From foodie hashtags on Instagram, to the latest cooking fads, customers want to stay connected to the latest trends and Sainsbury’s is empowering them do that.

To help Sainsbury’s achieve this goal, its Commercial and Technology teams, in partnership with Accenture, are building cutting-edge machine learning solutions on Google Cloud Platform (GCP) to provide new insights on what customers want and the trends driving their eating habits.

With the help of Google Cloud Platform, we are generating new insights into how the world eats and lives, to help us stay ahead of market trends and provide an even better shopping experience for our customers.
–Phil Jordan, Group CIO, Sainsbury’s 

Sainsbury’s solution relies on data from multiple structured and unstructured sources. Using Google Cloud’s powerful cloud-based analytics tools to ingest, clean and classify that data, and a custom-built front-end interface for internal users to seamlessly navigate through a variety of filters and categories, Sainsbury’s is able to gain advanced insights in real time.

As a result, Sainsbury’s has been able to develop predictive analytics models to spot trends and adjust inventory, providing shoppers with a better experience. 

Phil Jordan, Group CIO of Sainsbury’s believes this project will have a big impact.

“The grocery market continues to change rapidly. We know our customers want high quality at great value and that finding innovative and distinctive products is increasingly important to them. With the help of Google Cloud Platform, we are generating new insights into how the world eats and lives, to help us stay ahead of market trends and provide an even better shopping experience for our customers.” 

This project is also a great example of the successes Google Cloud customers have when they work with the company’s partners.

“We’re delighted to partner with Google Cloud to help the Sainsbury’s Commercial team apply predictive analytics to the identification of new and emerging trends in grocery,” says Adrian Bertschinger, Managing Director for Retail, Accenture.

“The food sector is experiencing significant, rapid disruption, and this new, cloud-based insights platform will help Sainsbury’s identify trends much earlier and adapt their product assortment in a faster, more informed way—all for the benefit of customers.” 

Whatever the next food or shopping trend may be, Sainsbury’s is looking to the cloud to help them stay a step ahead. 

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Security at Scale: A Peek into the Life of Google

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Defending the world’s largest network against persistent and constantly evolving cyber threats has driven Google to architect, automate, and develop advanced tools to help keep it ahead. Understanding how Google has built and evolved it’s defenses can help you make smart architectural decisions of your own as you move forward.

  • At Google every minute:
  • 10 million spam messages are prevented from reaching Gmail customers.
  • 694,000 indexed Web pages are scanned for harmful software.
  • 7,000 deceitful URLs, executables, and browser extensions that may carry viruses, unwanted content, or phishing attempts are spotted and stopped.
  • 6000 instances of unwanted software and nearly 1,000 instances of suspected malware are reported to Chrome users.
  • 2 phishing sites and 1 malware site are found and labeled.

Download this e-book to know more about Google’s security at scale.

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