The practical benefits of migrating SAP systems to the cloud aren’t lost on most businesses. Running SAP in the cloud lets companies simplify tasks, scale quickly, and reduce costs. But as a growing number of organizations are discovering, the cloud is more than the sum of improved processes and workflows. It offers unique and powerful ways to transform an enterprise.

That’s because the cloud is more than a technology. It’s a foundational layer for business and IT transformation. In the best scenario, it unleashes exponential gains that fundamentally change an enterprise. Organizations achieve greater agility and resilience, and they’re equipped to innovate and disrupt like never before.

RISE with SAP and Google Cloud sit at the intersection of these possibilities. RISE with SAP helps organizations embark on the cloud migration journey with minimal risk and on their own terms. Together with Google Cloud, it enables a more advanced framework for a move to the cloud. Think of RISE with SAP on Google Cloud as business-transformation-as-a-service.

Companies move their SAP systems to the cloud for very clear and compelling reasons: 44% say it fuels digital transformation, and 43% are looking to build out a modern IT infrastructure to lower costs and simplify processes. RISE with SAP on Google Cloud takes direct aim at these challenges.

MSC Industrial Supply Co., a premier North American distributor of metalworking and maintenance, repair, and operations products and services to industrial customers views RISE with SAP on Google Cloud as a way to make its IT systems and the business more flexible and scalable by expanding data access in the cloud. With approximately 2 million products and more than 6,500 associates, that’s no small task for the Melville, New York, company.

In June 2021, MSC successfully migrated to SAP S/4HANA Cloud, private edition, running on Google Cloud infrastructure. Through RISE with SAP, MSC adopted cloud resources that were both reliable and scalable, without any disruption to its business operations. Advanced data analytics, machine learning, and other AI capabilities are now available to MSC.

At the center of this transformation is BigQuery, with which MSC data scientists can pinpoint business insights among vast and complex data sets from diverse sources, including Ads, Maps, Shopping, or the Google Marketing Platform. The net effect is significantly less time needed to manage and analyze rich data sets.

Energizer Holdings Inc., a leading manufacturer and distributor of primary batteries (think Energizer Bunny), portable lights, and auto care products, has turned to RISE with SAP on Google Cloud to power its move to SAP S/4HANA. The company wants to automate essential business processes, improve customer service, and boost innovation. It had been using a private cloud solution but needed to gain flexibility while better containing costs.

After migrating through RISE with SAP on Google Cloud, Energizer is able to share data and intelligence to keep teams better informed. The framework has also helped contain costs and support business growth through reduced licensing costs and a more economical and efficient SaaS model.

Inchcape plc, the leading multi-brand automotive distributor for Toyota, Mercedes, BMW and others, is turning to RISE with SAP on Google Cloud to take its business-critical sales, marketing and operations systems, and data into the cloud. Doing so will allow the UK-based company to join a diverse range of datasets into a centralized, secure, and scalable platform for the first time.

With operations in over 40 markets and geographies, Inchcape has complex logistics requirements. Google Cloud supports and offers the types of advanced analytics and machine learning capabilities the company requires for today’s complex manufacturing environment.

GCP Applied Technologies Inc. (GCPAT) is dedicated to the development of high-performance products and the advancement in construction technologies, simplifying the complexities of construction worldwide and delivering value to its customers. As a part of their business transformation initiatives, the company was looking to move from an on-premise data center to a more modern framework that can keep up with evolving demands. GCPAT considered various solution options like non-cloud colocation, but ultimately opted to move to the cloud through RISE with SAP on Google Cloud.

The platform provides a resilient foundation for accelerating business process improvement and innovation while optimizing maintenance and licensing costs. With the ability to deliver transformative solutions across the enterprise, GCPAT is now well-positioned to handle the pace of business change.

Veolia is an international company with nearly 180,000 employees across the globe and activities in three main service and utility areas: water management, waste management and energy services. Veolia, which aims to become the benchmark company for ecological transformation, was looking to digitize its processes and operations with a modern, cloud-based enterprise management system. Fundamental to Veolia’s success is its ability to continually roll out new, digital services to its industrial and municipal clients, so the company needed an enterprise management system capable of adapting quickly as the company’s business model evolves.

Veolia Poland upgraded to S/4HANA Private Cloud Edition on Google Cloud through RISE with SAP. Not only has the company been able to take advantage of a simplified, fully managed, and shortened cloud implementation, it has also been able to extend its existing Google environment, including BigQuery, to place data at the center of its digitization strategy and develop predictive capabilities using Google Cloud AI.

4 steps to cloud success

These successful transformation stories share four key characteristics in common.

• Low-risk path: Each enterprise reduced its risk of migrating to the cloud while speeding up time-to-value. Subject matter experts from Google Cloud and its partners guided each enterprise through the transition, and they were able to take advantage of incentives to defray infrastructure costs through the Google Cloud Acceleration Program.
• Near-zero downtime: By increasing SAP application availability with Live Migration, our success stories dramatically reduced planned outages due to infrastructure and maintenance updates, down to less than 1 percent.
• Room to innovate: With advanced analytics, artificial intelligence, and machine learning capabilities, these enterprises are improving processes, reducing costs and driving new revenue streams. Additionally, they have the ability to experiment with modern applications faster and more securely using their SAP data with Apigee.
• IT sustainability: By moving SAP applications to smarter and more efficient data centers, these success stories instantly reduced their IT emissions, while eliminating guesswork. Now, they can set goals based on seamless, agentless assessments and track progress with Google Cloud tools, analytics and reporting capabilities.

The engine of progress for cloud migrations

RISE with SAP on Google Cloud delivers a modular and low-risk path to the cloud for organizations at various stages of the migration and transformation path by clearing roadblocks and using performance indicators and industry benchmarks to pinpoint the best place to start.

The result? Reporting that’s 100x faster, as well as embedded AI technology, real-time advanced analytics, streamlined data display, consumer-grade UX across devices, strong sustainability, and a 50% reduction in a company’s data footprint. In practical terms, all the numbers add up to a simple but profound conclusion: RISE with SAP on Google Cloud is an engine of progress for organizations looking to gain an advantage in today’s highly competitive business environment.

To learn more about RISE with SAP on Google Cloud click here.

Want to know the latest from Google Cloud? Find it here in one handy location. Check back regularly for our newest updates, announcements, resources, events, learning opportunities, and more. 

Tip: Not sure where to find what you’re looking for on the Google Cloud blog? Start here: Google Cloud blog 101: Full list of topics, links, and resources.

Week of May 24-May 28 2021

• Google Cloud for financial services: driving your transformation cloud journey–As we welcome the industry to our Financial Services Summit, we’re sharing more on how Google Cloud accelerates a financial organization’s digital transformation through app and infrastructure modernization, data democratization, people connections, and trusted transactions. Read more or watch the summit on demand.
• Introducing Datashare solution for financial services–We announced the general availability of Datashare for financial services, a new Google Cloud solution that brings together the entire capital markets ecosystem—data publishers and data consumers—to exchange market data securely and easily. Read more.
• Announcing Datastream in Preview–Datastream, a serverless change data capture (CDC) and replication service, allows enterprises to synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency to support real-time analytics, database replication, and event-driven architectures. Read more.
• Introducing Dataplex: An intelligent data fabric for analytics at scale–Dataplex provides a way to centrally manage, monitor, and govern your data across data lakes, data warehouses and data marts, and make this data securely accessible to a variety of analytics and data science tools. Read more. 
• Announcing Dataflow Prime–Available in Preview in Q3 2021, Dataflow Prime is a new platform based on a serverless, no-ops, auto-tuning architecture built to bring unparalleled resource utilization and radical operational simplicity to big data processing. Dataflow Prime builds on Dataflow and brings new user benefits with innovations in resource utilization and distributed diagnostics. The new capabilities in Dataflow significantly reduce the time spent on infrastructure sizing and tuning tasks, as well as time spent diagnosing data freshness problems. Read more.
• Secure and scalable sharing for data and analytics with Analytics Hub–With Analytics Hub, available in Preview in Q3, organizations get a rich data ecosystem by publishing and subscribing to analytics-ready datasets; control and monitoring over how their data is being used; a self-service way to access valuable and trusted data assets; and an easy way to monetize their data assets without the overhead of building and managing the infrastructure. Read more.
• Cloud Spanner trims entry cost by 90%–Coming soon to Preview, granular instance sizing in Spanner lets organizations run workloads at as low as 1/10th the cost of regular instances, equating to approximately $65/month. Read more.
• Cloud Bigtable lifts SLA and adds new security features for regulated industries–Bigtable instances with a multi-cluster routing policy across 3 or more regions are now covered by a 99.999% monthly uptime percentage under the new SLA. In addition, new Data Access audit logs can help determine whether sensitive customer information has been accessed in the event of a security incident, and if so, when, and by whom. Read more.
• Build a no-code journaling app–In honor of Mental Health Awareness Month, Google Cloud’s no-code application development platform, AppSheet, demonstrates how you can build a journaling app complete with titles, time stamps, mood entries, and more. Learn how with this blog and video here.
• New features in Security Command Center—On May 24th, Security Command Center Premium launched the general availability of granular access controls at project- and folder-level and Center for Internet Security (CIS) 1.1 benchmarks for Google Cloud Platform Foundation. These new capabilities enable organizations to improve their security posture and efficiently manage risk for their Google Cloud environment. Learn more.
• Simplified API operations with AI–Google Cloud’s API management platform Apigee applies Google’s industry leading ML and AI to your API metadata. Understand how it works with anomaly detection here.
• This week: Data Cloud and Financial Services Summits–Our Google Cloud Summit series begins this week with the Data Cloud Summit on Wednesday May 26 (Global). At this half-day event, you’ll learn how leading companies like PayPal, Workday, Equifax, and many others are driving competitive differentiation using Google Cloud technologies to build their data clouds and transform data into value that drives innovation. The following day, Thursday May 27 (Global & EMEA) at the Financial Services Summit, discover how Google Cloud is helping financial institutions such as PayPal, Global Payments, HSBC, Credit Suisse, AXA Switzerland and more unlock new possibilities and accelerate business through innovation. Read more and explore the entire summit series.
• Announcing the Google for Games Developer Summit 2021 on July 12th-13th–With a surge of new gamers and an increase in time spent playing games in the last year, it’s more important than ever for game developers to delight and engage players. To help developers with this opportunity, the games teams at Google are back to announce the return of the Google for Games Developer Summit 2021 on July 12th-13th. Hear from experts across Google about new game solutions they’re building to make it easier for you to continue creating great games, connecting with players and scaling your business. Registration is free and open to all game developers. Register for the free online event at g.co/gamedevsummit to get more details in the coming weeks. We can’t wait to share our latest innovations with the developer community. Learn more.

Scale-out workloads demand the best combination of performance and price to bring down the cost of delivering applications, all while providing an excellent user experience. We are excited to announce a new virtual machine (VM) family, Tau VMs, coming to Google Cloud. Tau VMs extend Compute Engine’s VM offerings with a new option optimized for cost-effective performance of scale-out workloads. 

T2D, the first instance type in the Tau VM family, is based on 3rd Gen AMD EPYC^TM processors and leapfrogs the VMs for scale-out workloads of any leading public cloud provider available today, both in terms of performance and workload total cost of ownership (TCO). The x86 compatibility provided by these AMD EPYC processor-based VMs gives you market-leading performance improvements and cost savings, without having to port your applications to a new processor architecture. 

As illustrated below, Tau VMs offer 56% higher absolute performance and 42% higher price-performance (est. SPECrate2017_int_base) compared to general-purpose VMs from any of the leading public cloud vendors.

What our customers and partners are saying

Snap
“At Snap, it is critical for our business to continue improving our scale-out compute infrastructure for key Snapchat capabilities like AR, Lenses, Spotlight and Maps,” said Cody Powell, Senior Engineering Manager, Snap Inc. “We were impressed when we tested Google Cloud’s new Tau VMs with Google Kubernetes Engine. While it’s early days, we believe we can gain double digits in infrastructure performance improvements for key workloads—enabling us to do more with less and invest even more in new features for our amazing Snapchat community.”

Twitter
“High performance at the right price point is a critical consideration as we work to serve the global public conversation,” said Nick Tornow, Platform Lead, Twitter. “We are excited by initial tests that show potential for double digit performance improvement. We are collaborating with Google Cloud to more deeply evaluate benefits on price and performance for specific compute workloads that we can realize through use of the new Tau VM family.”

DoiT
“DoiT partners with leading cloud vendors who are focused on growth and cost optimization,” said Yoav Toussia-Cohen, CEO, DoiT International. “In our preliminary testing of Google’s new Tau VMs with the Coremark benchmark, we were thrilled to see the incredible performance at 50% better than a comparable ARM-based offering from another leading public cloud. With Tau VMs, Google Cloud has set a new bar for price-performance, making the cloud even more accessible to digital-native companies. We are excited to bring Google’s Tau VMs to our joint customers.”

Designed for demanding scale-out workloads 

Tau VMs bring the benefit of Google’s long-standing experience engineering platforms for scale-out workloads to our customers. They come in multiple predefined VM shapes, with up to 60vCPUs per VM, and 4GB of memory per vCPU. They offer up to 32 Gbps networking bandwidth and a wide range of network attached storage options, making Tau VMs ideal for scale-out workloads including web servers, containerized microservices, data-logging processing, media transcoding, and large-scale Java applications. 

Google Kubernetes Engine support

Google Kubernetes Engine (GKE) is the de facto standard for organizations looking for advanced container orchestration, delivering the highest levels of reliability, security, and scalability. GKE supports Tau VMs on day 1, helping you optimize price-performance for your containerized workloads. You can add Tau VMs to your GKE clusters by specifying the T2D machine type in your GKE node-pools. 

Pricing

Tau VMs will be priced to support significant TCO and price-performance improvements for your cloud applications. A 32vCPU VM with 128GB RAM will be priced at $1.3520 per hour for on-demand usage in us-central1. 

Coming soon to a Google Cloud region near you

If you are interested in trying out T2D VMs when they become available in Q3 2021 please sign-up here.

Editor’s note: In February 2021, Google Cloud and TELUS announced a 10-year strategic alliance to drive innovation of new services and solutions across data analytics, machine learning, and go-to-market strategies that support digital transformation within key industries, including communications technology, healthcare, agriculture, and connected home. By December 2021, TELUS had completed a pilot for a use case that leveraged Google Cloud AI and Machine Learning solutions and Telco Edge Anthos to increase safety in the workplace and save lives in manufacturing facilities. The use case leverages Multi-Access Edge Computing (MEC) to move the processing and management of traffic from a centralized cloud to the edge of TELUS’ 5G network, making it possible to deploy applications and process content closer to its customers, and thus yielding several benefits including better performance, security, and customization. Today, we invite Samer Geissah, Head of Technology Strategy and Architecture at TELUS, to share how the company is delivering on its promise to use this technology to drive meaningful change, starting with workers’ well-being.

Whenever a new technology buzzword comes along I think: what problems does this solve, and for whom is this going to make a real difference? That’s because at TELUS, we see innovation as a means to act on our social purpose to drive meaningful change, from modernizing healthcare and making our food supply more sustainable, to reducing our environmental footprint and connecting Canadians in need. Multi-Access Edge Computing (MEC) is a buzzword that offers an opportunity to do just this. That’s why we want to leverage cloud capabilities and optimize our network’s edge computing potential, tapping into our award-winning high-speed 5G connectivity to help solve some of industry’s most complex challenges.

The reason why this presents such a great opportunity is that companies across industries still rely on maintenance-heavy on-premises systems to manage core computing tasks. But, with cloud capabilities delivered at the edge of our 5G network, we open a new world of possibilities for them. For example, manufacturers who currently rely on IoT-enabled equipment in their facilities can deliver new experiences by running advanced AI-based visual inspections directly from 5G-enabled devices–all without the need for local processing power or extra on-site space. In fact, it’s this example that inspired our new use case, where our Connected Worker Safety solution can be applied across a range of business verticals to help improve safety, prevent injury, and save lives, demonstrating how the perfect combination of skilled people and digital technology can make the world a safer place.

Empowering intelligent decision making at the edge

Be it a farm, manufacturing facility, hospital, or a factory floor, workers should be able to work in environments where their health and safety are held as the highest priority. But how can employers ensure that their remote, frontline, and in-office employees are safe and healthy at all times? We’ve found the answer by combining Google Cloud AI/ML capabilities and Anthos as a platform for delivering workloads, with our network’s infrastructure.

Together with Google Cloud, we have been leveraging solutions with the power of MEC and 5G to develop a workers’ safety application in our Edmonton Data Center that enables on-premise video analytics cameras to screen manufacturing facilities and ensure compliance with safety requirements to operate heavy-duty machinery. The CCTV (closed-circuit television) cameras we used are cost-effective and easier to deploy than RTLS (real time location services) solutions that detect worker proximity and avoid collisions. This is a positive, proactive step to steadily improve workplace safety. For example, if a worker’s hand is close to a drill, that drill press will not bore holes in any surface until the video analytics camera detects that the worker’s hand has been removed from the safety zone area.

A few milliseconds could make all the difference when you are operating heavy equipment without guards in place. So, to power the solution’s predetermined actions with immediate response times, we worked with Accenture and hosted the application on an Anthos bare metal Google Cloud environment running on our TELUS multi-edge access computing.

Because all the conditions in our model are programmable, this solution can be replicated at scale across a variety of practical scenarios other than factory floors. The actions in response to the analysis are also programmable, which means companies can use this technology to look at workers’ conditions and decide the best course of action to educate, assist, and protect them. All this is done through a single pane of glass ecosystem, making it easy to customize this solution to meet various business needs.

Meanwhile, leveraging our existing global networks to process data and compute cycles at the edge eliminates the need to transport data to a central location for real-time computation. This means that we can offer this solution to partners while optimizing latency and lowering costs.

Powering blink-of-an-eye communication with Anthos

To put the importance of lowering speed into perspective, consider that the average latency of blinking your eye is about 300 milliseconds. From a safety point of view, preventative processes need to be much faster than that. For this use case, our machine learning models running on edge are currently processing data at a tenth of the time it takes for you to blink your eyes, and we’re aiming to lower that latency further to help build even safer systems.

Our plan is to deploy Anthos clusters on bare metal to our customers across Canada to take advantage of our existing enterprise infrastructure, making it possible for us to run our solution closer to partners and eventually enable just one millisecond of latency.

At that point, we’ll be able to power new use cases that require near real-time feedback, leaving absolutely no room for error. This could include remote surgery, platooning of fleets on autonomous vehicles, and many other cellular vehicle-to-everything (V2X) solutions that require high-speed communication for platform operators to manage remote edge fleets in far-away places.

Improving workers’ safety while enabling new sources of revenue

Although edge computing and 5G have been around for a while, we believe that use cases like this are only just starting to demonstrate the incredible speed of change and high potential that these models provide. The next step for us is to develop our workers’ safety solution and get it to market, making TELUS an early adopter of new 5G solutions at the edge that can help our business and industry partners make workplaces safer.

It’s a great win to be able to combine efforts with Google Cloud and reduce latency in a context where timing can impact and save lives, and I’m confident that workers’ safety is just the beginning of a series of industry challenges that we’ll address together.