Vizrt’s Story of ‘Lift and Shift’ and Delivering Phenomenal Performance with Google Cloud
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When moving software applications from on-premise hardware to the cloud, it often “just works,” but it’s never guaranteed. This is especially the case for applications that are hardware intensive. This blog post examines what happened when a media company took software for real-time video broadcasts into the cloud. We’ll share how we, Google Cloud, collaborated with media software provider Vizrt to meet the demanding requirements of an eSports broadcaster. Together, we delivered a solution that not only met but exceeded the expected performance from a cloud-based deployment.
Video broadcasting in the cloud
Video broadcasts are a very hardware-intensive workflow. By needing to process and store data streams in near-real-time, broadcasts stress GPU, memory, disk, and CPU. In addition, the performance requirements quickly increase as producers add additional video streams into the mix, such as in this case, an eSports broadcast.
Vizrt’s customer wanted to increase their broadcast production by doubling the amount of camera feeds from 8 to 16, to have a more compelling and elaborate production.
At the heart of the eSports broadcasters’ production was Viz Vectar Plus, Vizrt’s software-based 4K switcher. While the client wanted to move more of its production into the cloud, Viz Vectar Plus was designed initially for on-premise hardware. So, when they tried a straightforward “lift and shift ” to the cloud, it surprised no one that the software didn’t run as well. They turned to Google Cloud and Vizrt to make it run the way they needed it to.
Troubleshooting lift and shift
Initially, we suspected that the issue could be in the design of the cloud deployment, i.e., the configuration of the VM hosting the software. So the focus of our troubleshooting was to find a cloud configuration that 1) made sure the software worked to spec and 2) did so optimally considering costs, robustness, and performance. Furthermore, we wanted to ensure that all components met performance specifications, particularly throughput, IOPS, and network bandwidth, as this was a video media application. Only after we validated the cloud deployment would we ask Vizrt to investigate the code itself. We would:
- Set up a test environment.
- Benchmark the environment.
- Test various configurations.
- Validate that the vendor software was optimally using the configuration.
This high-level methodology is straightforward. However, we approached the details in a particular order, considering we were optimizing for broadcast video. We honed in on the optimal cloud configuration by testing the following elements, prioritized in order of expected impact:
- VM type: The VM type largely dictates the available memory and CPU configurations. However, because this was a VM workflow, we had to pick N1’s. Today, they are the only VM type that can be attached to GPUs, which are practically a requirement for broadcast video.
- Disk type: Video broadcasts require high I/O speeds to handle high-quality video streams. We went from an HDD to a much-faster SSD.
- CPU size: We increased the VM CPU cores from 16 in increments up to 32. Increasing CPU size indeed increased performance, but did not return the level of performance we needed.
- SSD size: We increased the SSD size (and the accompanying higher IOPS and throughput that comes with increasing the size) enabling more simultaneous recordings. Again, this only partially worked.
- Disk count. We noticed read/write problems when the application was reading/writing with a single drive. There are two typical ways to approach this: 1) Separate read/writes tasks among two discs and 2) striping the data streams across discs. Implementing these had improved but marginal improvements in performances.
After our testing, we arrived at the following optimal configuration:
- VM: n1-standard-32 instance w/ 500Gb boot drive
- GPU: 1 T4 GPU
- SSD: 1 persistent disk with 1TB*
* We would later determine that two SSDs for separate read and write operations would be more optimal
This configuration was able to produce between 6 – 12 streams. Compared to the on-premise target of 8 streams, this was about as good but was not the customer’s target of 16. So we would need Vizrt to take the ball from here to optimize the software itself.
Optimizing media applications for cloud
We provided Vizrt our recommended configuration, performance notes, and the following best practices that are generally applicable to cloud-based video workloads:
- Separate read and write operations to two different disks to enable higher performance for both operations.
- A second 1 TB SSD persistent disk can be attached to the VM instance to increase performance.
With this information, Vizrt engineers worked their magic, providing daily patches to test; with each daily iteration the overall solution was found quickly. Not only were they able to meet the broadcaster’s request of 16 feeds, but they were also able to go even further to 44. Over a 5x improvement by optimizing for the cloud!
Teamwork in troubleshooting
Because of the specialized nature of media and entertainment, workflow situations across multiple companies are common as specialized applications hand their work from one to another.
“By working in partnership with Google Cloud we managed to build a system that can scale in ways that probably none of us thought would be possible. This allowed Viz Vectar Plus to run fully in the cloud using NDI and opened up amazing possibilities for making shows,” Dr. Andrew Cross, President R&D, Vizrt Group. “We ended up with great feedback from the customer, who were appreciative of how Google Cloud and Vizrt collaborated on a solution.”
The results speak for themselves: A satisfied customer with over a 5x improvement in results. That’s what we call a good game.
Earth Week: Google Cloud at the Heart of Sustainability
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Today’s Google Doodle reminds us of the enormous changes our planet is experiencing due to climate change. Everyone, from businesses to governments to technologists, has the opportunity to meet this challenge — transforming themselves and their organizations to be more sustainable. For this Earth Day 2022, and indeed Earth Week, Google Cloud celebrates the organizations and individuals who are fighting climate change with innovative technology. We don’t want you to miss a thing, so here’s a recap of all our news in one handy location.
We asked global CEOs: what is it going to take to make progress on sustainability in your org?
In a survey of 1,500 CXOs across 16 countries, many executives say they are willing to do what it takes to have more sustainable practices. But despite their ambition, real measures of impact are lacking. To see what will change that, check out the blog.
We announced a new innovation challenge supporting climate science and research…
Our blog on Monday announced the Climate Innovation Challenge Research Credits program, to support researchers as they work to better understand climate change, increase climate resilience and develop new, promising solutions to urgent climate challenges. You can apply for research credits here.
…and shared stories of researchers making a difference
We interviewed Dr. Richard Fernandes from Natural Resources Canada, who built the LEAF toolbox that maps and assesses vegetation with satellite data from Google Earth Engine. You can read our Q&A here.
Canada has approximately 10 million square kilometers of land and the annual data volume of these maps is equivalent to streaming HD movies for over 750 hours non-stop. Cloud computing allows us to manage all this data in a useful and accessible way.Dr. Fernandes, Research Scientist
We also published a story about the U.S. Department of Agriculture’s Forest Service, and how they use Google Cloud processing and analysis tools to help sustainably manage 193 million acres of land.
We turned the lights on at new clean energy projects in four countries…
We shared details of our battery project in Belgium, solar projects in Denmark, and wind projects in Chile and Finland. Our battery project in Belgium is the first of its kind, enabling us to switch from diesel generators to a cleaner backup solution that will keep the internet up and running in the event of a power disruption. These will all help us continue to operate the cleanest cloud in the industry.
…and made it easier to learn how to build applications more sustainably
We launched a new lab that walks users through our Carbon Sense suite of products. From using our region picker app to make low-carbon architecture decisions, to analyzing the carbon footprint of your Google Cloud app with Carbon Footprint, we’re building sustainability into the tools you use every day. You can also find Carbon Footprint training in the new Data Warehouse Cloud On-Board.
We formed an ecosystem of partners to help accelerate sustainability projects…
The Google Cloud partner ecosystem is critical to helping our customers act sustainably today. A new whitepaper produced in partnership with Enterprise Strategy Group shares real-world solutions that could make an immediate impact — not in the next decade, but right now.
…and shared stories of innovative startups changing the game with Google Cloud.
Take Enexor and its partners, who are producing clean and sustainable energy from discarded plastics and agro-waste. The blog from Lee Jestings, Enexor Founder & CEO, shares how Google for Startups got them started, and which Google Cloud tools help them build predictive models. Check out their story.
Or Nuuly, the rental and resale business created by the URBN portfolio, which also includes Urban Outfitters, Anthropologie, and Free People. In the blog you can read how Nuuly is using technology to provide a sustainable experience to employees and customers — from upcycling clothing, to recyclable and reusable packaging.
Whether you’re a startup, scientist, executive or developer, at Google Cloud we’ll continue to work hard to help make your digital transformation a sustainable one.
Learn more about our sustainability work here, and don’t miss the inaugural Cloud Sustainability Summit this June. Register now.
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Modernizing apps on the cloud isn’t an “all or nothing” decision. Businesses want the option to modernize on-premises or choose multi-cloud solutions that meet their needs. That’s why we created a new solution for running apps anywhere – simply, flexibly, and securely. Embracing open standards, Anthos lets you run your applications, unmodified, on existing on-prem hardware investments or in the public cloud. So that you write once and deploy anywhere.
Download this report and find out how to:
- Decouple infrastructure and applications with containers and Kubernetes
- Decouple cloud teams from one another so they can work independently
- Meet the challenges of microservice management using service mesh
- Implement a zero-trust security model to enforce more granular controls while maintaining a consistent user experience
Prepare for the Unknown in Supply Chain with SAP IBP and Google Cloud
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Responding to multiple, simultaneous disruptive forces has become a daily routine for most demand planners. To effectively forecast demand, they need to be able to predict the unpredictable while accounting for diverse and sometimes competing factors, including:
- Labor and materials shortages
- Global health crises
- Shifting cross-border restrictions
- Unprecedented weather impacts
- A deepening focus on sustainability
- Rising inflation
Innovators are looking to improve demand forecast accuracy by incorporating advanced capabilities for AI and data analytics, which also speed up demand planning. According to a McKinsey survey of dozens of supply chain executives, 90% expect to overhaul planning IT within the next five years, and 80% expect to or already use AI and machine learning in planning.
Google Cloud and SAP have partnered to help customers navigate these challenges and supply chain disruptions starting with the upstream demand planning process, focusing on improving forecast accuracy and speed through integrated, engineered solutions. The partnership is enabling demand planners who use SAP IBP for Supply Chain in conjunction with Google Cloud services to access a growing repository of third-party contextual data for their forecasting, as well use an AI-driven methodology that streamlines workflows and improves forecast accuracy. Let’s take a closer look at these capabilities.
Unify data from SAP software with unique Google data signals
When it comes to demand forecasting and planning, the more high-quality and relevant contextual data you use, the better, because it helps you understand the influencing factors of your product sales to sense trends and react to disruptions or capitalize on market opportunities more timely and accurately.
The expanded Google Cloud and SAP partnership helps customers who use SAP® Integrated Business Planning for Supply Chain (SAP IBP for Supply Chain) bring public and commercial data sets that Google Cloud offers into their own instances of SAP IBP and include them in their demand planning models in SAP IBP. So, in addition to sales history, promotions, stakeholder inputs and customer data that are typically in SAP IBP, a demand planner can incorporate their advertising performance, online search, consumer trends, community health data, and many more data signals from Google Cloud when working through demand scenarios.
More data enables more robust and accurate planning, so Google continues to build an ecosystem of data providers and grow the number of available data sets on Google Cloud. Some current providers include the U.S. Census Bureau, the National Oceanic and Atmospheric Administration, and Google Earth, and partnerships are underway with Crux, Climate Engine, Craft, and Dun & Bradstreet to help companies identify and mitigate risk and build resilient supply chains.
Augmenting demand planning with additional external causal factor data is a starting point to drive more accurate forecasting. For example, knowing what regional events may be happening, or the weather patterns that may impact sales of your products, allows you to react faster to these changes by making sure adequate supply is being provided. The result is a more accurate overall plan that reduces resource waste and out-of-stock events. Planners can respond with more accurate and granular daily predictions about sales, pricing, sourcing, production, inventory, logistics, marketing, advertising, and more based on the expanded data.
Get more accurate forecasts with Google AI inside
Extending the already expansive algorithm selection available in SAP IBP, the release of version 2205 allows SAP IBP customers to access Google Cloud’s supply chain forecasting engine, which is built on Vertex AI — Google Cloud’s AI-as-a-platform offering — from within SAP IBP as part of their forecasting process.
The benefit of using an AI-driven engine for demand forecasting is that it meaningfully improves forecast accuracy. Most demand forecasting today is done through a manually set, rules-based model versus an AI-driven model that is smarter and gets better at predicting demand as it works.
Take the fastest path from data to value with streamlined workflows
Vertex AI can include relevant contextual data sets for demand planning, and the results can be shown in SAP IBP for planners to incorporate when building their workflows.
In addition to more accurate forecasts, planners can work faster and more efficiently as they build potential scenarios, meaning they can do more simulations than they do now so that a wider range of disruptions can be modeled. Customers of SAP IBP don’t have to do any of the heavy lifting. They just have to share their data from SAP IBP with Google, then access the process workflow capabilities to set up automated workflows that use the combined data. Google makes the data available so that planners can use it as they’re setting up their workflows in Vertex AI.
Users of the Google Supply Chain twin and SAP IBP can combine the rich planning data from IBP with additional SAP data and other Google data sources to provide better supply chain visibility. The Google Supply Chain twin is a real-time digital representation of your supply chain based on sales history, open customer orders, past and future promotions, pricing and competitor insights, consumer history signals, external data signals and Google data.
Leverage Google data signals with SAP IBP for more accurate forecasts
It’s not difficult to access these new capabilities, and the benefits are more accurate near-term forecasts and more return on your investments in SAP IBP and Google Cloud. If you happen to be at the Gartner Supply Chain Symposium from June 6-8th in Orlando, Florida, stop by our booth to say hello. Or, get started now
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Organizations need to modernize their applications for a variety of reasons including the need to reduce cost and complexity, increase organizational agility, lower the barrier to innovation, and building new features.
However, lifting critical business technologies off legacy implementations and refactoring them to take advantage of modern technologies and services is a process that takes time and can’t be achieved overnight.
At the same time, as competitors adopt new technologies to streamline processes and attract customers, CIOs are under increased pressure to ensure that their organizations remain competitive by enabling their IT to develop and iterate faster than their competition.
Hence, IT leaders and their teams need to come up with the right game plan, the right foundation, and the right tools for their application modernization journey. They need to create a plan, iterate on it, and keep moving forward.
Download this whitepaper to learn how you can easily modernize your applications for the cloud.
Multi-cloud Adoption Empowers GCCs to be Resilient, Scalable and Future-proof: Whitepaper
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India has emerged as the Technology capital for the world – there are now at least 55 unicorns in India, nearly 600 funding rounds in just the last 30 months and 200+ GCCs expected in the next 2 years. There has been a rapid acceleration not just in the number of startups being launched, but also in the variety of technologies they are experimenting with.
India GCC’s are leading the transformation agenda for the enterprise and the pandemic has accelerated the inevitable. Technology now underpins every facet of a business: products, services, business processes, and how customers and businesses interact. As organizations are investing and progressing on their digital journey, they are increasingly relying on talent and teams across the globe to help them navigate the changes and build strategic capacity.
How is Cloud enabling this strategic change? This whitepaper compiled by ANSR and Google Cloud aims to expand on the following,
What is the cloud adoption story and how can it empower GCCs to be resilient, scalable and future-proof?
How have global teams or Global Capability Centers enabled the strategic and accelerated adoption of technology?
What are the key Cloud considerations for building an innovative, collaborative ecosystem for a thriving organization?
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