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Two Ways to Deploy SAP HANA System on Google Cloud

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You can expand the benefits of SAP by migrating SAP S/4 HANA deployments to Google Cloud. But, did you know there are two different ways that includes a set of pros and cons for rehosting SAP HANA database on Google Cloud? Read more!

Many of the world’s leading companies run on SAP—and deploying it on Google Cloud extends the benefits of SAP even further. Migrating your current SAP S/4HANA deployment to Google Cloud—whether it resides on your company’s on-premises servers or another cloud service—provides your organization with a flexible virtualized architecture that lets you scale your environment to match your workloads, so you pay only for the compute and storage capacity you need at any given moment. Google Cloud includes built-in features, such as Compute Engine live migration and automatic restart, that minimize downtime for infrastructure maintenance. And it allows you to integrate your SAP data with multiple data sources and process it using Google Cloud technology such as BigQuery to drive data analytics.

SAP server-side architecture consists of two layers: the SAP HANA database, and the Netweaver application layer. In this blog post, we’ll look at the options and steps for moving the database layer to Google Cloud as a lift and shift or rehost, a straightforward approach that entails moving your current SAP environment unchanged onto Google Cloud.

Deploying an SAP HANA system on Google Cloud

Google Cloud offers SAP-certified virtual machines (VMs) optimized for SAP products, including SAP HANA and SAP HANA Enterprise Cloud, as well as dedicated servers for SAP HANA for environments greater than 12TB. (For a complete list of VM and hardware options, visit the Certified and Supported SAP HANA Hardware Directory.)

Before proceeding with a rehost migration to Google Cloud, your current (source) environment and Google Cloud (target) environments should meet these specifications:

Prerequisites:  

  • The configuration of the Google Cloud environment (i.e., VM  resources, SSD storage capacity) should be identical to that of the source environment. If the underlying hardware is different, however, you must use Option 2 for your migration, detailed below.
  • Both environments should be running the same operating system (SUSE or RHEL Linux).
  • The HANA version, instance number, and system ID (SID) should be identical.
  • Schema names must remain the same.
  • Establishing the network connection between the on-premises environment and Google Cloud will be required in this phase to support rehost of the SAP application.you can use Cloud VPN or Dedicated Interconnect. Learn more about Dedicated Interconnect and Cloud VPN.

Note: Depending on your internet connection and bandwidth requirements, we recommend using a Dedicated Interconnect over Cloud VPN for production environments. 

We offer a number of automated processes to accelerate your cloud journey. To deploy the SAP HANA system on Google Cloud, you can use the Google Cloud Deployment manager or Terraform and Ansible scripts available on GitHub with configuration file templates to define your installation. For more details, see the Google Cloud SAP HANA Planning Guide.

Note: To deploy SAP HANA on Google Cloud machine types that are certified by SAP for production, please review the Certification for SAP HANA on Google Cloud page. 

Moving an SAP HANA Database to Google Cloud

There are two different options you can use to rehost your SAP HANA database to Google Cloud, and each has pros and cons that you should consider when deciding on your approach.

Option 1: Asynchronous replication uses SAP’s built-in replication tool to provide continuous data replication from the source system (also known as the primary system) to the destination or secondary system—in this case residing on Google Cloud. It’s best for mission-critical applications for which minimum downtime is a high priority, and for large databases. In addition, the high level of automation means that the process requires less manual intervention. Here’s where you can learn more on HANA Asynchronous Replication.

Option 2: Backup and restore relies on SAP’s backup utility to create an image of the database that is then transferred to Google Cloud, where it is restored in the new environment. Downtime for this method varies by database size, so large databases may require more downtime via this method vs. asynchronous replication. It also involves more manual tasks. However, it requires fewer resources to perform, making it an attractive option for less urgent use cases. Here’s where you can learn more on SAP HANA database Backup and restore.

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How to migrate the SAP HANA database to Google Cloud using Asynchronous Replication

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  1. Create and configure Dedicated Interconnect or Cloud VPN between the current environment and Google Cloud.
  2. Set up SAP HANA asynchronous replication. You can configure system replication using SAP HANA Cockpit, SAP HANA Studio, or hdbnsutil. See Setting Up SAP HANA System Replication in the SAP HANA Administration Guide.
  3. Be sure to use the same instance number and HANA SID in the template as the primary instance.
  4. Configure the Google Cloud instance as the secondary node for using HANA Asynchronous replication.
  5. Perform data validation once full data replication is completed to the SAP HANA database in Google Cloud. To learn more: HANA System Replication overview.  
  6. Perform an SAP HANA takeover on your standby database. This switches your active system from the current primary system onto the secondary system on Google Cloud. Once the takeover command runs, the system on Google Cloud becomes the new primary system.To learn more: HANA Takeover

How to migrate the SAP HANA database to Google Cloud using Backup and Restore

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  1. Create a full backup of your SAP HANA database in your current environment.
  2. Create a new storage bucket in your Google Cloud environment. Visit Creating Storage Buckets in the Google Cloud Storage documentation. 
  3. Download and install gsutil onto the source environment and run it to upload the HANA backup to the Google Cloud storage bucket. To install gsutil utility on any computer or server, visit Install gsutil in the Google Cloud Storage documentation.
    Note: You can run parallel multi thread/multi processing in gsutil to copy large files more quickly.
  4. Recover the HANA database on Google Cloud using SAP’s RECOVER DATABASE statement. See RECOVER DATABASE Statement (Backup and Recovery) in the SAP HANA SQL Reference Guide for SAP HANA Platform.

Note: BackInt agent is an integrated SAP interface tool used for HANA database on Google Cloud.Backint agent for SAP HANA can be used to store and retrieve backups directly from Google Cloud Storage. It is supported and certified by SAP on Google Cloud. To learn more:  SAP HANA Backint Agent on Google Cloud. 

In summary, we recommend using Asynchronous Replication (Option 1) for mission-critical applications that require the lowest downtime window. For all other applications, we recommend Backup and Restore (Option 2), as this approach requires fewer resources. It’s also a great way to implement the backup and restore functionality on Google Cloud.

A rehost migration is the most straightforward path to getting your SAP on HANA system up and running on Google Cloud. And the sooner you migrate, the sooner you can take advantage of the many benefits Google Cloud brings to your SAP solution. For more information on the different migration options please review: SAP on Google Cloud: Migration strategies

Learn more about deploying SAP on Google Cloud. Technical resources can be found here.

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Google Cloud and Ericsson to Deliver 5G and Edge Cloud Solutions

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Google Cloud and Ericsson announced partnership to transform user experiences across industry applications with 5G and edge solutions for CSPs and enterprises. This combo will serve as single pane of glass to manage and look beyond connectivity!

Editor’s note: 5G is much more than a network—it’s a platform for innovation with the ability to provide immediate global scale and enable use cases that we haven’t even dreamed of yet. But to achieve this, industry players must come together to drive this growing ecosystem. Today, Erik Ekudden, CTO of Ericsson, and Bikash Koley, VP of Global Networking at Google Cloud, share their insights into the potential of edge and 5G.

Experts consider 2021 to be the year that serves as the inflection point between network readiness and 5G availability. However, communications service providers (CSPs) are still faced with the task of modernizing their networks, systems, and infrastructure to maximize the potential of 5G for themselves and for the enterprise customers they serve. As you weigh whether to tackle this challenge, let’s first examine what’s different about 5G and how CSPs can best leverage 5G and the edge together as an even stronger platform for innovation than just 5G alone.

With 5G, applications and mobile networks are no longer isolated

Let’s first address what 5G brings to the table. Faster speeds and lower latency are expected of course, and throughout the evolution from 2G to 3G to 4G, there’s been a step function in performance improvements with each of these. However, with every generation, applications and networks have been like ships passing in the night. Networks have been unaware of what the applications have been doing and applications have been guessing what the network was capable of. 

What’s different this time around is that there is some real innovation happening with the development and rollout of 5G itself. The network is on a path to become more accessible via APIs so that applications can call on and consume what they need from the networks in a more programmable way. This sets us up for more open architectures and ecosystems.

5G leverages a more open architecture 

One key difference with 5G as compared to prior generations is that it’s the most open and flexible network architecture the CSP industry has seen. This is thanks to its service-based approach and the decoupling of hardware and software components. CSPs are now running core network elements in the public cloud, private cloud, hybrid cloud, and even multi-cloud, which was unthinkable even five years ago.

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The flexibility of this more open architecture allows us to push the cloud to the edge while still being able to manage it from a single pane of glass. This is a huge leap forward from traditional networks, which have been domain-specific, managed in silos, and with slow service creation and delivery. Now, hyperscale cloud vendors and network equipment providers are offering solutions that help CSPs break down these silos to enable more flexible, automated networks with improved orchestration, visibility, and control across multi-vendor, multi-cloud and hyperscale cloud-provider environments. In addition, the separation of hardware and software provides a much more flexible and cost-effective way to upgrade from one network generation to the next.

To provide solutions that are relevant to enterprises, CSPs must offer capabilities beyond connectivity. Enterprise service orchestration, including exposure of network assets and network slicing, are foundational capabilities to provide value to the application ecosystem and be in control of the network and the delivered services.

Combining 5G and edge to help industries reimagine user experiences

This convergence of compute, storage and networking at the edge coming together for the first time will enable CSPs and enterprises to offer their customers completely reimagined user experiences. Consider, for example, how the automotive industry might enhance how customers shop for a car. As part of Fiat Chrysler Automobiles’ Virtual Showroom at the recent CES 2021 event, consumers were able to experience the innovative new 2021 Jeep Wrangler 4xe by scanning a QR code with their phones, and then see an Augmented Reality (AR) model of the Wrangler right in front of them—virtually placed on their own driveway or in any open space.

By rendering the model in Google Cloud, then streaming it to mobile devices, visitors could also see what the car looked like from any angle, in different colors, and even step inside to see the interior in incredible detail. That is the true digitization of an industry segment and highlights the device-to-network-to-edge-to-cloud application relationship and how it can impact the user experience.

A programmable network unlocks more application use cases

The programmability of the 5G network will truly enable application developers to utilize all the benefits of the underlying network. Programmability supports ease of use and enables CSPs, integrated software vendors (ISVs) and the ecosystem to have the right network-level APIs exposed so that applications can be optimized based on the network behavior and vice versa. Imagine, for instance, automatically pushing applications from a cloud region to the edge based on network latency and performance metrics.

Finally, 5G’s programmability is also about having the right tools available for developers to build and integrate applications on the network with zero-touch onboarding and validation. With this, we’ve come to the point where the network is now a “platform” for application innovation. 

5G and edge will be all about the ecosystem

One thing is for certain: the shift to 5G will place tremendous focus on the ecosystem, and it needs to be an ecosystem that includes CSPs, public cloud providers, application developers and technology providers, all coming together to optimize the user experiences across industry applications. For instance, Google Cloud and Ericsson recently announced our partnership to deliver 5G and edge cloud solutions for CSPs and enterprise.  In addition, Google Cloud is also teaming up with popular ISVs to deliver more than 200 edge applications from 30-plus partners, all running on our cloud.  

With collaboration across ISVs, cloud providers and network equipment providers, we are enabling the rapid delivery and deployment of new vertical services and applications, leveraging capabilities like Anthos, artificial intelligence (AI), and machine learning (ML), as well as multi-vendor, multi-cloud and hyperscale cloud provider service orchestration and global edge networks such as those provided by Google and telecom service providers.

As members of the technology ecosystem, we talk about compute, storage and networking, but when it comes down to it, it’s about optimally placing these resources—whether in the cloud, at the provider core, at the edge or anywhere in between—to maximize the end-user experience. The openness and programmability of 5G lends itself to collaboration like never before. We predict that in 2022 and beyond, it will be all about the ecosystem coming together to leverage 5G and the edge to build innovations that we can’t yet imagine.

To learn more, watch the full Ericsson 5G Things CTO Focus fireside chat, where we discuss these topics and more.

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Google’s Tau VMs Help Nylas Reach New Heights!

Nylas is a leading provider of scalable and secure communications data platform that powers business process and productivity automation and drive digital engagement for its customers that are fast-growing start-ups as well as large enterprises. The company approached Google Cloud with a complex challenge involving its legacy architecture that gave rise to cost and scalability issues. Nylas processed 30 terrabytes of data, billions of messages and hundreds of millions of APIs per day! Moreover, to serve Nylas’ large enterprise customer in the Financial Services industry with stringent security needs and data storage infrastructure requirements to avoid in-memory hacks, they rewrote the entire infrastructure in Go and Kubernetes on top of Google.

Watch the video to learn how Google Cloud has been the best distributed technology and a true partner for Nylas, helping them achieve 40 percent in savings by moving to Tau VMs!

Case Study

Combining IoT and Analytics to Warn Manufacturers of Line Break Downs and Increase Profitability

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Oden Technologies moves to the Google Cloud Platform to cut the cost and complexity of its smart factory cloud platform for manufacturing analytics.

Oden Technologies is using the Internet of Things (IoT) to improve the factories of today. The giant network of “things” (including people) connected to each other via the Internet has the potential to reduce waste, increase efficiency, and improve safety across all walks of life. Oden is leading IoT innovation in manufacturing by combining wireless connectivity, big data, and cloud computing.

The use of data to improve manufacturing is practically as old as manufacturing itself. But the computerization of manufacturing has resulted in broad and rapid changes to the way data is collected and processed, as well as the sheer volume of data available.

Oden’s goal is to help manufacturers tap into this data to quickly identify process trends and even warning signs of machine breakdown. Such visibility can reveal opportunities to improve manufacturing and maintenance processes that reduce waste and increase profit margins.

Oden designs and develops data collection devices that can plug into almost any kind of machine and can wirelessly transmit data with minimal complexity and setup time.

Once devices are installed, the Oden technology platform processes data to give manufacturers cutting-edge analytics that are easy to comprehend. Analysis produced by the platform provides factory engineers with data points such as detailed root-cause analysis down to the second, factory-wide performance in real-time, and trend analysis.

Improving cloud delivery

Oden’s previous cloud platform performed satisfactorily, but the company evaluated alternatives in search of potential reductions in cost and complexity and increases in performance.

When evaluating Google Cloud Platform, Oden discovered it would require fewer virtual machine (VM) instances for equivalent performance, which would cut costs. Furthermore, Oden could gain more sophisticated data analytics and machine learning capabilities compared with its existing cloud provider.

Today, Oden runs its entire platform on Google Cloud Platform including Google Compute EngineGoogle Cloud Pub/SubGoogle Cloud BigtableGoogle Stackdriver, and Google Kubernetes Engine.

“In order to serve our customers, we need a cloud platform that can scale reliably while keeping costs low, perform under heavy loads, and consistently deliver sophisticated features such as machine learning,” says Willem Sundblad, CEO and Founder at Oden Technologies. “Google Cloud Platform is way ahead in all of these areas compared to our previous cloud provider.”

Capturing tens of millions of metrics a day

Using Google Cloud Platform, Oden can help an average factory capture and store approximately 10 million metrics on a single manufacturing line every day.

Metrics can include extremely granular detail, such as the amount of electricity going to machines, the amount of raw material consumed, and the volume of material produced. Sensors can also capture and transmit environmental information such as temperature, humidity, and dew point so that manufacturers can identify weather-related and seasonal impacts on production.

The updated Oden Cloud Platform uses Kubernetes Engine—powered by the open source Kubernetes system—to run application program interfaces (APIs) that capture data from Oden’s wireless devices on the factory floor.

Google Cloud Pub/Sub then sends the data in real time to Google Cloud Bigtable, where data is processed using Oden’s proprietary analytics tools. Google Stackdriver supports Google Cloud Platform monitoring, logging, and diagnostics, which help Oden deliver its cloud platform with confidence.

Oden Technologies builds dashboards powered by Kubernetes Engine, which pull analyzed data from Google Cloud Bigtable. The dashboards provide customers with real-time visibility into their manufacturing lines. Oden Factory Cloud dashboards allow customers to delve deeper into their data to fine-tune production processes or discover the root causes of production issues.

With the previous cloud provider, Oden required 80 VM instances to run the dashboards. With Google Cloud Platform that number has been cut to 45, which dramatically reduces costs and complexity.

“We migrated from our previous cloud provider to Google Cloud Platform in just one month,” says Willem. “Further, our storage and data analytics costs have decreased by 30%. Cost savings like these allow us to protect customers from rising expenses, keeping us focused on bringing the best products possible to market.”

Faster data access; more efficient factories

With Google Cloud Platform, Oden can now deliver a complete factory analytics picture to manufacturers. In environments where thousands of variables affect the bottom line, businesses can now automatically and perpetually record machine and performance measurement. Oden Factory Cloud gives customers access to comprehensive data insights and can eliminate reliance on onsite infrastructure investments to run their own analytics.

Because manufacturers have access to live data and can analyze production data quickly, they can troubleshoot and resolve problems in minutes rather than months. Such information helps improve product quality, minimize unplanned downtime, cut costs, and improve profitability.

“With the help of Google Cloud Platform, we are helping our customers to be data-driven, which wasn’t possible before,” adds Willem. “They now understand that data is their most important asset. That allows them to be more innovative and continually improve their production processes.”

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Google Cloud Cortex Framework: Innovate on Cloud with Less Risk, Cost and Complexity!

Google Cloud Cortex Framework is a comprehensive approach to cloud innovation that enables users to accelerate value with less risk, complexity and cost! The Cortex Framework includes a comprehensive tools and know-how to build, design and deploy cloud solutions to address business challenges and achieve desired outcomes. Watch the video to get started with Google Cloud Cortex Framework.

Case Study

Beany’s Cloud-Based Accounting Solutions Transform Small Business Finance

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Beany, a financial services company, has integrated with Google Cloud to streamline accounting and financial planning for small businesses. This innovative solution will improve efficiency, accuracy, and accessibility for small business owners.

Many people start a small business that aligns with their passions, but soon discover the day-to-day running of a business is very different than anticipated. Dealing with accounting, finance, and other daily activities can quickly overwhelm even the most promising of new businesses.

Recognizing the unique challenges facing small businesses, we founded Beany. With our personalized accounting platform, small business owners can relax knowing that we will look after all their compliance and advisory needs. Business owners who use Beany also benefit because they end up freeing more time to focus on what they enjoy and do best—likely the main reasons they started their business in the first place. We prepare financial statements, minimize tax and keep an eye that our clients are paying the right amount at the right time. We also advise on business purchase and sale, valuations and forecasting for banks. In fact, we do everything that a business owner needs from their accountant, including a help desk filled with domain experts to provide free & unlimited advice and support. 

As we expand our team, we’ll continue to introduce new solutions, services, and integrations that make it even easier for small businesses to prioritize business planning, balance budgets, and keep up with ever-changing tax laws. We also plan to launch Beany in new markets and extend our global footprint beyond New Zealand, Australia, and the UK.    

Migrating and scaling Beany

Beany was initially developed and hosted on a virtual private server (VPS) with limited capabilities. As our subscriber base grew, we realized we needed a more scalable, secure solution to eliminate downtime and deliver a reliable customer experience. We also understood it would be challenging for our small engineering team to cost-effectively test and deploy new features without a more agile development environment. 

With that in mind, we chose the secure-by-design infrastructure of Google Cloud to power Beany and help us scale our innovative accounting platform. We now use Compute Engine to cost-effectively create virtual machines (VMs) that automatically select optimal amounts of processing and memory. 

In addition, we encrypt, store, and archive everything on highly secure Cloud Storage, leveraging a combination of solid-state drives (SSDs) and hard disk drives (HDDs) for hot, nearline, and coldline data. With Cloud Storage, we can replicate data between regions in under 15 minutes to enable rapid recovery and business continuity. This has been really useful moving images to data centers on the other side of the planet quickly as we primarily operate out of Sydney and London. 

We also connect, create, and collaborate on Google Workspace using Google Gmail, Docs, Calendar, and Meet. Beany smoothly integrates with Google Sheets to provide live reporting from our application direct to our sales, marketing and support staff. It also makes sharing account data with our accounting clients easy and secure.

Analyzing financial data with Google Cloud AI and machine learning

Joining the Google for Startups Cloud Program gave us immediate access to Google Cloud credits which we use to cost-effectively trial and deploy additional Google Cloud solutions. We continue to evaluate Cloud Code which will help our developers more efficiently create, deploy, and integrate applications directly on Google Cloud. We’re also exploring how Google Cloud AI and machine learning products such as Vertex AI and AutoML can further revolutionize accounting with advanced financial analyses and end-to-end automation of business processes.

We can’t wait to see what we accomplish next as we grow our team and introduce new services and solutions that enable small businesses to streamline operations, lower costs, and increase profits. It’s exciting to help small business owners manage accounting and financial planning so they can spend more time doing what they love and realize their business vision.

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Beany team members

If you want to learn more about how Google Cloud can help your startup, visit our page here to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more.

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