Three Benefits of VPC Network Peering for SAP Managed Apps - Build What's Next
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Three Benefits of VPC Network Peering for SAP Managed Apps

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Google Cloud's VPC Network peering capability to connect SAP managed environment with Google Cloud apps and services can strengthens security, and deliver benefits in three key areas. Read to learn how VPC Network peering enhances value of SAP apps!

Over the past year, RISE with SAP has emerged as a valuable solution for SAP customers seeking a faster, simpler, and more affordable path to the cloud. RISE with SAP is a subscription-based offering that typically includes a number of fully managed cloud application options, including SAP S/4HANA Cloud and elements of the SAP Business Technology Platform. It’s a great way to migrate your business to modern cloud ERP applications, while handing off the implementation and management to SAP and freeing your own IT staff to focus on other projects.

As a strategic partner for RISE with SAP, Google Cloud works closely with SAP to ensure reliable, secure, high-performance connectivity between your SAP managed applications and your other Google Cloud applications and services. Today, we’re focusing on a Google Cloud capability that plays a big part in achieving this goal: VPC network peering. If your company uses Google Cloud to host its RISE with SAP managed applications (or any other SAP-managed offering, such as SAP Enterprise Cloud Services), it’s worth learning more about why VPC network peering is an important capability and how your network admin can implement it.

We recently co-authored a white paper with SAP that goes into technical detail about how VPC network peering works and includes step-by-step configuration instructions. But it is useful to understand, at a higher level, why it matters for RISE with SAP subscribers.

When SAP implements your RISE with SAP managed applications on Google Cloud, it also provisions a virtual private cloud (VPC) — a virtualized network that provides the same functionality, performance, and security benefits as a dedicated physical network — for this SAP environment. In fact, a VPC actually gives you some capabilities that a physical network can’t match, such as the ability to increase IP space without downtime.

Using VPC network peering to connect your SAP managed environment with your Google Cloud applications and services gives you three key benefits: 

  • Network latency: Traffic that remains inside Google’s network enjoys lower latency than connectivity that uses external addresses.
  • Network security: Service owners do not need to have their services exposed to the public internet and deal with its associated risks.
  • Network cost: Rather than pay egress bandwidth costs for networks using external IPs to communicate, peered networks can use internal IPs to communicate, saving you money on those egress costs. Regular network pricing still applies to all traffic.

Many customers also appreciate the flexibility they get from VPC network peering: It supports the ability to peer your own VPC networks with other VPC networks that reside in different projects and even in different organizations.  

Using VPC network peering to strengthen your SAP security posture

Most Google Cloud customers find VPC network peering most useful to ensure seamless connectivity between their SAP managed applications and the rest of their Google Cloud environment. But some companies also rely on VPC network peering to gain greater control over the security of their cloud environments. This can include:

  • Implementing additional network security capabilities, such as advanced firewalls, intrusion detection, and network package inspection, that go above and beyond standard SAP security measures.
  • Leveraging Google Cloud Interconnect to link your on-premises and Google Cloud environments, including your RISE with SAP managed applications, without sending traffic across the public internet.

Once your company has configured VPC network peering, things get even more interesting. Google Cloud offers plenty of ways to complement and enhance the value of your SAP applications: using Google BigQuery to consolidate and enrich your SAP application data; relying on Google AI/ML capabilities to sharpen your predictive analytics and real-time decision-making; or leveraging Google Kubernetes Engine to jump-start your own cloud-native application development efforts, among many other examples

Some of the world’s biggest SAP customers, including The Home Depot, and Cardinal Health,  have chosen Google Cloud to migrate their business-critical SAP applications. And we’ve seen how useful VPC network peering can be for SAP customers to unlock the full value and potential of Google Cloud. Be sure to download our white paper so you can get VPC network peering configured for your RISE with SAP managed applications, and discover for yourself just what’s possible when you run SAP applications on Google Cloud.

Whitepaper

Building a Large-Scale Migration Program with Google Cloud

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Many organizations are looking to the public cloud to solve on-premises infrastructure challenges. These range from capacity constraints, aging hardware, or reliability issues; or alternatively, organizations may be looking to capitalize on the value that cloud infrastructure can bring – saving money through automatic scaling, or deriving business value from large scale, cloud-native approaches to data processing and analytics.

However, moving to the cloud can be a complex and time-consuming journey. An inefficient migration program can significantly reduce the benefits realized from the migration, and a pure lift-and-shift approach can leave you with similar challenges and costs in the cloud as you were trying to escape from on-premises.

In this whitepaper, we outline Google’s approach to building a Migration Factory – an organization structure and set of processes that enable a fast, efficient migration to the cloud. We don’t presume that this is a team of Googlers coming to deliver your migration. We recommend building a blended team of people with the right skills and understanding of your organization, with clearly defined goals that are closely measured through the life of the program.

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Expect 40 Percent Higher Price-performance than General Purpose VM with Google TAU VMs!

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Google Cloud Tau VMs offer a leading combination of performance, price, and full x86 compatibility allowing customers with the lowest cost solution for scale-out workloads. Read blog to learn what the customers have to say about Tau VMs!

In November 2021, we announced the general availability of Tau VMs. Since then, Google Cloud’s Tau VMs with Google Kubernetes Engine (GKE) have unlocked value for many customers who are now using Tau VMs for their production workloads, such as: Ascend, who achieved over 125% higher performance; Nylas, who gained over 40% higher price-performance; and OpenX, who achieved 40% better price-performance while at the same time reducing their application latency by 62%.

T2D is the first instance type in the Tau VM family and is built on the latest 3rd generation AMD EPYCTM processors, offering 42% higher price-performance compared to general-purpose VMs from any of the leading public cloud vendors. Tau VMs offer a leading combination of performance, price, and full x86 compatibility, offering customers the lowest cost solution for scale-out workloads. Tau VMs are available in predefined shapes, with up to 60vCPUs per VM, 4GB of memory per vCPU, networking up to 32 Gbps and a slew of storage options including Standard, Balanced and Performance PD. Tau VMs are also available as Spot VMs, offering an over 60% discount compared to on-demand pricing.

For customers looking for advanced container orchestration, GKE delivers high levels of reliability, security, and scalability, and has supported Tau VMs since the day they became available on Google Cloud. Tau VMs are ideal for CPU-bound workloads such as web-serving with encryption, video encoding, compression/decompression, image processing and horizontally-scaled applications. Using Tau VMs along with GKE’s cost-optimization best practices can help lower your total cost of ownership. You can add Tau VMs to new or existing GKE clusters by specifying the Tau T2D machine type in your GKE node-pools through the Cloud console or by using –machine-type in gcloud.

Here is what some of our customers have to say about Tau VMs:

Ascend provides a unified analytics and data engineering platform, and chose Tau VMs along with GKE to run their data-intensive workload — primarily because of Tau’s absolute performance and price-performance advantage.

“Our core capability at Ascend is bringing together data ingestion, transformation, delivery, orchestration and observability into a single platform. To operate at scale and keep pace with our telemetry data production rates, high single-threaded performance is critical. With Google Cloud’s Tau VMs with Google Kubernetes Engine (GKE), we are able to achieve over 125% higher performance than previous generation families. This has completely changed our ability to query historical metrics. Where previously metric queries against historical data over ranges longer than a couple hours were difficult, we can now easily query data ranges of multiple weeks.” – Joe Stevens, Tech Lead – Infrastructure, Ascend.io

Nylas is a pioneer and leading provider of productivity infrastructure solutions for modern software. In the past year, Nylas has been using GKE in their journey to reinvent their architecture and provide their enterprise customers with a bi-directional universal email sync, security compliance with the highest enterprise standards, and industry-specific machine learning services.

“For our core application, Google’s Tau VMs with Google Kubernetes Engine delivers over 40% better price-performance than Amazon’s Graviton-based VMs. Further, Tau VMs maintain x86 compatibility and eliminate the need to maintain a separate stack for ARM. We are moving our workload from Amazon Web Services to Google Cloud to take advantage of these benefits.” – David Ting, SVP of Engineering, Nylas

OpenX operates an independent ad exchange. Operating 100% on Google Cloud has enabled OpenX to achieve improved performance, scalability, speed and global reach.

“At OpenX, our ad-exchange services over 200 billion requests every day. Getting the best combination of performance and price from the infrastructure is critically important for us. We use multiple Google Kubernetes Engine (GKE) clusters across geographic regions with autoscaling to power our ad-delivery components. Running Google Cloud’s Tau VMs with GKE has enabled over 40% better price-performance and 62% latency reduction for our application as compared to the prior generation family. We have made the move to Tau VMs for our application to take advantage of these benefits.” – Paul T.Ryan, CTO, OpenX

We are excited to see Tau VMs adding value for so many of our customers by enabling industry leading price-performance for a variety of workloads.

If you haven’t tried Tau VMs yet, give them a try today in our Iowa, Netherlands and Singapore regions and move your production workloads to Tau VMs. Tau VMs will be arriving in additional regions and zones in the coming weeks. You can provision GKE node pools based on Tau VMs and explore how you can take advantage of improved price-performance for your scale-out containerized workloads.

To get started, go to the Google Cloud Console, select Google Kubernetes Engine, and choose Tau T2D for your GKE nodes. To learn more about Tau VMs or other Compute Engine VM options, check out our machine types and our pricing pages.

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Case Study

HSBC Looks to Google Cloud to Transform Banking

HSBC, a global bank that is a central part of global commerce with a presence in 67 countries, serving 38 million customers ranging from individuals to small businesses to corporations and governments, and having over $2.5 trillion assets in its balance sheet, had a vision of being a cloud first company and wanted to transform the banking experience for its customers.

The bank wanted to glean valuable insights from its huge data asset of about 100 petabytes and wanted to use those insights to manage its business better. What it needed was a managed service with elastic capability so that HSBC can focus on the data science and management, which enables better customer experience.

For many years HSBC had, like most large corporations, tried to build its own data centers, provision the infrastructure, and run it. However, to realize its ambition of focussing on customer experience, the bank decided to partner with Google Cloud.

However, the journey wasn’t an easy one. Being a globally systemically important financial institution, it had to convince regulators across the world that moving customer data to the cloud is a good thing. Towards that end, it formed a joint team to work through all the challenges and created a cloud framework for banking describing the controls needed.

The results have been quite stunning. Able to calculate the global liquidity for a country in minutes rather than hours, run better financial crime analytics with speeds that are 10 times faster with a higher level of precision and accuracy have been some of the benefits that the bank has derived.

See how HSBC and Google Cloud are bringing a new level of security, compliance and governance capabilities to one of the world’s leading banking institutions.

Whitepaper

Google Cloud: Lowering Migration Risks for Indian Firms

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A common perception is that migrating existing workloads to the public cloud—especially those with a lot of data—is complex, time consuming, and risky. But with the right planning, organizations can rapidly establish the right practices to accelerate migrations, lower risk, and succeed in the cloud.

Case Study

WPP Innovates with the Cloud

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Unlocking the Power of Data and Creativity with
the Cloud: The WPP Story

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