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Killexams : Oracle Infrastructure exam Questions - BingNews https://killexams.com/pass4sure/exam-detail/1Z0-1072-20 Search results Killexams : Oracle Infrastructure exam Questions - BingNews https://killexams.com/pass4sure/exam-detail/1Z0-1072-20 https://killexams.com/exam_list/Oracle Killexams : What we hope to learn at Supercloud22

The term supercloud is relatively new, but the concepts behind it have been bubbling for years.

Early last decade when the National Institute of Standards and Technology put forth its original definition of cloud computing, it said services had to be accessible over a public network — essentially cutting the on-premises crowd out of the conversation. Chuck Hollis, the chief technology officer at EMC and prolific blogger, objected to that criterion and laid out his vision for what he termed a private cloud. In that post he showed a workload running both on-premises and in a public cloud, sharing the underlying resources in an automated and seamless manner – what later became more broadly known as hybrid cloud.

That vision, as we now know, really never materialized and we were left with multicloud — sets of largely incompatible and disconnected cloud services running in separate silos. The point is, what Hollis put forth – the ability to abstract underlying infrastructure complexity and run workloads across multiple heterogeneous estates with an identical experience – is what supercloud is all about.

In this Breaking Analysis we’re excited to share what we hope to learn at Supercloud22 next week.

On Tuesday, Aug. 9, at 9 a.m. PDT, the community is gathering for Supercloud22, an inclusive and open pilot symposium hosted by theCUBE and made possible by VMware Inc. and other founding partners. It’s a one-day, single-track event with more than 25 speakers digging into the architectural, technical, structural and business aspects of supercloud. This is a hybrid event, with a live program in the morning and pre-recorded content in the afternoon featuring industry leaders, technologists, analysts and investors up and down the technology stack.

The seeds of supercloud were sown early last decade

After the very first re:Invent, Amazon Web Services Inc.’s annual cloud conference, we published our Amazon Gorilla post seen in the upper right above. And we talked about how to differentiate from Amazon and form ecosystems around industries and data and how the cloud would change information technology permanently.

In the upper left we put a post up on the old Wikibon.org wiki and we talked about the importance of traditional tech companies and their customers learning to compete in the Amazon economy. We showed a graph of how IT economics were changing and cloud services had marginal economics that looked more like software than hardware at scale. And we posited that this would reset opportunities for both technology sellers and industries for the next 20 years.

This came into sharper focus in the ensuing years, culminating in a milestone post by Greylock’s Jerry Chen called Castles in the Cloud, an inspiration and catalyst for us using the term supercloud in John Furrier’s post prior to re:Invent 2021.

The CTO Advisor’s take

Once we floated the concept, people in the community started to weigh in and help flesh out this idea of supercloud — where companies of all types build services on top of hyperscale infrastructure and across multiple clouds, and going beyond multicloud 1.0, which we argued was really a symptom of multivendor.

Despite its somewhat fuzzy definition, it resonated with people because they knew something was brewing. Keith Townsend, the CTO Advisor, even though he wasn’t necessarily a big fan of the buzzy nature of the term supercloud, posted this awesome blackboard talk on Twitter:

Keith has deep practitioner knowledge and lays out a couple of options. Especially useful are the examples he uses of cloud services, which recognize the need for cross-cloud services and the aspirational notion of VMware’s vision. Remember this was in January 2021. And he brings HashiCorp into the conversation. It’s one of the speakers at Supercloud22. And he asks the community what they think.

Which is what we’re asking you. We’re trying to really test out the viability of supercloud and people like Keith are instrumental as collaborators.

Not everyone is on board

It’s probably not a shock to you to hear that not everyone’s is not on board with the supercloud meme. In particular, Charles Fitzgerald has been a wonderful collaborator just by his hilarious criticisms of the concept. After a couple of supercloud posts, Charles put up his second rendition of supercloudafragilisticexpialidocious. It’s just beautiful.

To boot, he put up this picture of Baghdad Bob asking us to “Please Just Stop.” Bob’s real name is Muhammad Saeed al-Sahhaf. He was the minister of propaganda for Saddam Hussein during the 2003 invasion of Iraq, making outrageous claims of U.S. troops running Saddam’s elite forces in fear.

Charle’s laid out several helpful critiques of supercloud, which has led us to further refine the definition and catalyze the community’s thinking on the topic. One of his issues, and there are many, is we said a prerequisite of supercloud was a superPaaS layer. Gartner’s Lydia Leong chimed in (see above) saying there were many examples of successful platform-as-a-service vendors built on top of a hyperscaler, some having the option to run in more than one cloud provider.

But the key point that we’re trying to explore is the degree to which that PaaS layer is purpose-built for a specific supercloud; and not only runs in more than one provider, as Lydia said, but runs across multiple clouds simultaneously, creating an identical developer experience irrespective of estate. Now maybe that’s what she meant… it’s hard to say from a tweet.

But to the former point, at Supercloud22 we have several examples we’re going to test. One is Oracle Corp.’s and Microsoft Corp.’s exact announcement to run database services on Oracle Cloud Infrastructure and Microsoft Azure, making them appear as one. Rather than use an off-the-shelf platform, Oracle claims to have developed a capability for developers specifically built to ensure high performance, low latency and a common experience across clouds.

Another example we’re going to test is Snowflake Inc. We’ll be interviewing Benoit Dageville, co-founder of Snowflake, to understand the degree to which Snowflake’s exact announcement of an application platform is purpose built for the Snowflake Data Cloud. Is it just a plain old PaaS – big whoop as Lydia claims – or is it something new and innovative?

By the way we invited Charles Fitz to participate in Supercloud22 and he declined, saying, in addition to a few other semi-insulting quips:

[There’s] “definitely interesting new stuff brewing [that] isn’t traditional cloud or SaaS. But branding it all supercloud doesn’t help either.

Indeed, we agree with the former sentiment. As for the latter, we definitely are not claiming everything is supercloud. But to Charles’ point, it’s important to define the critical aspects of supercloud so we can determine what is and what isn’t supercloud. Our goal at Supercloud22 is to continue to evolve the definition with the community. That’s why we’ve asked Kit Colbert, CTO of VMware, to present his thinking on what an architectural framework for cross-cloud services, what we call supercloud, might look like.

The analysts’ take

We’re also featuring some of the sharpest analysts in the business at Supercloud22 with The Great Supercloud Debate.

In additional to Keith Townsend, Maribel Lopez of Lopez Research and Sanjeev Mohan, former Gartner analyst and now principal at Sanjmo, participated in this session. Now we don’t want to mislead you and imply that these analysts are hopping on the supercloud bandwagon. But they’re more than willing to go through the thought experiment and this is a great conversation that you don’t want to miss.

Maribel Lopez had an excellent way to think about this topic. She used TCP/IP as an historical example, saying:

Remember when we went to TCP/IP, and the whole idea was, how do we get computers to talk to each other in a more standardized way? How do we get data to move in a more standardized way? I think that the problem we have with multicloud right now is that we don’t have that. So that’s sort of a ground level of getting us to your supercloud premise.

Listen to Maribel Lopez share here thoughts on the base level requirements for supercloud.

As well, Sanjeev Mohan has some excellent thoughts on whether the path to supercloud will be achieved via open-source technology or a de facto standard platform.

Now again, we don’t want to imply that these analysts are all out banging the supercloud drum. They’re not necessarily. But it’s fair to say that, like Charles Fitzgerald, they believe something new is bubbling up. And whether it’s called supercloud or multicloud 2.0 or cross-cloud services, or whatever name you want to choose, it’s not multicloud of the 2010s.

Our goal here is to advance the discussion on what’s next in cloud. Supercloud is meant to be a term that describes the future. And specifically the cloud opportunities that can be built on top of hyperscale compute, storage, networking, machine learning and other services at scale.

Addressing the top 10 questions around supercloud

That is why we posted the piece on answering the top 10 questions about supercloud, many of which were floated by Charles Fitzgerald and others in the community.

Why does the industry need another term? What’s really new and different and what is hype? What specific problems does supercloud solve? What are the salient characteristics of supercloud? What’s different beyond multicloud? What is a superPaaS? How will applications evolve on superclouds?

All these questions will be addressed in detail as a way to advance the discussion and help practitioners and business people understand what’s real today and what’s possible in the near future.

Who will build superclouds?

One other question we’ll address is: Who are the players that will build out superclouds and what new entrants can we expect? Below is an Enterprise Technology Research graphic we showed in a previous episode of Breaking Analysis. It lays out some of the companies we think are either building superclouds or are in a position to do so.

The way the Y axis shows Net Score or spending velocity and the X axis depicts presence in the ETR survey of more than 1,200 respondents.

The key callouts to this slide, in addition to some of the smaller firms that aren’t yet showing up in the ETR data, such as ChaosSearch and Starburst and Aviatrix and Clumio, are the really interesting additions that are industry players. Walmart and Azure, CapitalOne and Goldman with AWS, Oracle Cerner: These, we think, are early examples of industry clouds that will eventually evolve into superclouds.

They may not all be cross-cloud today (Oracle/Microsoft is and perhaps Goldman’s cloud fits, since it connects to on-prem systems), but the potential is there. So we’ll explore these and other trends to get the community’s input on how this will play out.

Experts address key questions at Supercloud22

We have an amazing lineup of experts to answer your questions: Technologists such as Kit Colbert, Adrian Cockcroft, Marianna Tessel, Chris Hof, Will Laforest, Ali Ghodsi, Benoit Dageville, Muddu Sudhakar, Steve Mullaney, Priya Rajagopal, Lori MacVittie, Howie Xu, Haseeb Budhani, Rajiv Ramaswami, Vittorio Viarengo, Kris Rice, Karan Batta. Investors such as Jerry Chen, In Sik Rhee, the analysts we featured earlier, Paula Hansen talking about going to market in a multicloud world, Gee Rittenhouse, David McJannet, Bhaskar Gorti of Platform9 and more.

And of course you.

Please register for Supercloud22. It’s a really lightweight registration; we’re not doing this for lead gen, we’re doing it for collaboration, and if you sign in, you can chat and ask questions in real time. Don’t miss this inaugural event on Aug. 9 starting at 9 a.m. PDT.

Keep in touch

Thanks to Alex Myerson, who does the production, podcasts and media workflows for Breaking Analysis. Special thanks to Kristen Martin and Cheryl Knight, who help us keep our community informed and get the word out, and to Rob Hof, our editor in chief at SiliconANGLE.

Remember we publish each week on Wikibon and SiliconANGLE. These episodes are all available as podcasts wherever you listen.

Email david.vellante@siliconangle.com, DM @dvellante on Twitter and comment on our LinkedIn posts.

Also, check out this ETR Tutorial we created, which explains the spending methodology in more detail. Note: ETR is a separate company from Wikibon and SiliconANGLE. If you would like to cite or republish any of the company’s data, or inquire about its services, please contact ETR at legal@etr.ai.

Here’s the full video analysis:

All statements made regarding companies or securities are strictly beliefs, points of view and opinions held by SiliconANGLE Media, Enterprise Technology Research, other guests on theCUBE and guest writers. Such statements are not recommendations by these individuals to buy, sell or hold any security. The content presented does not constitute investment advice and should not be used as the basis for any investment decision. You and only you are responsible for your investment decisions.

Disclosure: Many of the companies cited in Breaking Analysis are sponsors of theCUBE and/or clients of Wikibon. None of these firms or other companies have any editorial control over or advanced viewing of what’s published in Breaking Analysis.

Image: SiliconANGLE

Show your support for our mission by joining our Cube Club and Cube Event Community of experts. Join the community that includes Amazon Web Services and Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger and many more luminaries and experts.

Fri, 05 Aug 2022 02:35:00 -0500 en-US text/html https://siliconangle.com/2022/08/05/hope-learn-supercloud22/
Killexams : Here’s Why A Bunch Of Lawmakers Are Asking Questions About TikTok

Maddie Abuyuan / BuzzFeed News

1. Two separate BuzzFeed News investigations over the last couple of months revealed that TikTok, the world’s most popular app used by millions in the US, let the China-based ByteDance, its parent company, repeatedly access the data of the app’s American users.

2. Recordings of 80 company meetings obtained by BuzzFeed News showed that ByteDance’s engineers in China accessed American data between September 2021 and January 2022. “Everything is seen in China,” an employee in TikTok’s Trust and Safety department said in a meeting in September 2021.

3. Hours before the first investigation was published, TikTok announced that it had changed the “default storage location of US user data.” The company said that all “US user traffic is being routed to Oracle Cloud Infrastructure. We will still use our US and Singapore data centers for backup, but as we continue our work we expect to delete US users’ private data from our own data centers and fully pivot to Oracle cloud servers located in the US.” Oracle is an American database giant.

4. The investigation sparked fresh backlash against TikTok in the US. Brendan Carr, a commissioner of the Federal Communications Commission, asked Apple and Google to remove TikTok from their app stores.

5. Nine Republican senators led by Marsha Blackburn also sent a letter to TikTok CEO Shou Zi Chew and demanded answers to questions about the privacy of American users. TikTok responded to the letter a couple of days later and admitted that ByteDance employees in China could access US users’ sensitive information. But the company said that it manages access to that information via a security team that is based in the US. It didn’t divulge more details about this access.

6. In response to the investigation, TikTok spokesperson Maureen Shanahan told BuzzFeed News: "We know we're among the most scrutinized platforms from a security standpoint, and we aim to remove any doubt about the security of US user data. That's why we hire experts in their fields, continually work to validate our security standards, and bring in reputable, independent third parties to test our defenses."

7. ByteDance used a popular news app that it owned called TopBuzz, which is now defunct, to prominently feature content that was favorable to China, a second BuzzFeed News investigation published earlier this week showed. TopBuzz also censored stories about the Chinese government, former employees claimed.

8. Three former employees told BuzzFeed News that TopBuzz staff occasionally pinned pro-Chinese content to the top of the app. Employees were also required to provide evidence to ByteDance that they were placing this content in the app through screenshots. “Let’s be real, this was not something you could say no to,” a source said. “If they don’t do it, somebody’s going to jail.”

9. Employees also claimed that they were asked to remove coverage of the Hong Kong protests and some content that showed openly LGBTQ people. The company also removed any articles about Chinese President Xi Jinping and any content that compared him to Winnie the Pooh, something that the Chinese government has a history of censoring.

10. Employees said that TopBuzz illegally scraped and republished content from mainstream newspapers and magazines, including the New York Times, without its permission, and also videos from YouTube. A New York Times spokesperson told BuzzFeed News that the company had sent TopBuzz a cease-and-desist order for republishing content without permission. TopBuzz also published low-quality content to drive up engagement, including misinformation.

11. Six former employees told BuzzFeed News that the company also used the scraped data to train its algorithms to write news automatically without human journalists.

12. ByteDance spokesperson Billy Kenny issued the following statement to BuzzFeed News in an email: “The claim that TopBuzz — which was discontinued years ago — pinned pro-Chinese government content to the top of the app or worked to promote it is false and ridiculous. TopBuzz had over two dozen top tier US and UK media publishing partners, including BuzzFeed, which clearly did not find anything of concern when performing due diligence.” In response, a spokesperson for BuzzFeed Inc. said, “BuzzFeed, Inc. reaches its audience on all the major platforms — including those owned by ByteDance — while continuing to report on those platforms with rigorous journalism.”

13. The second investigation drew more angry reactions from lawmakers.

14. A day after the second investigation was published, TikTok released a blog post in which COO Vanessa Pappas announced that it would soon provide access to the “public and anonymized data” on the platform to “selected researchers” so that they could “assess content and trends” or conduct tests more easily. TikTok also plans to provide these researchers a way to examine the platform’s moderation system and even upload their own content to use in their tests.

15. On the same day, Gizmodo obtained TikTok’s internal PR documents that showed how TikTok prepped its staff to answer tricky questions, including those about its links to China. “Downplay the parent company ByteDance, downplay the China association, downplay AI,” one of the sentences in the documents reads.

Got a tip? You can email pranav.dixit@buzzfeed.com. To learn how to reach us securely, go to tips.buzzfeed.com.

Fri, 29 Jul 2022 07:07:00 -0500 en-US text/html https://finance.yahoo.com/news/why-bunch-lawmakers-asking-questions-190740330.html
Killexams : Why Continuous Testing Is The Key To Unlocking Your ERP Transformation

Technology leader and co-founder of Opkey — a continuous testing platform redefining test automation for web, mobile and ERP applications.

Many business and technology leaders realize that their digital transformation initiatives can’t be utilized without modernizing their enterprise resource planning (ERP) software. Incorporating new technologies such as artificial intelligence and machine learning is essential to modernizing ERP solutions.

Through a 2019 study of ERP migration and transformation projects, McKinsey revealed that two-thirds of enterprises did not get the ROI they were looking for from their migration project. The common reasons for this dissatisfaction are delays in ERP implementations and misaligned project goals. Intelligent test automation, which powers a continuous testing approach, will help ERP transformation projects run on time and stay within budget.

Continuous testing for ERP applications: Why do you need it?

Next-gen ERPs and digital operations platforms require innovative software to be released rapidly, with minimal business risk. Leading analysts from Gartner, Forrester (paywall) and IDC (registration required) now recognize that software testing in its current form cannot handle the challenges posed by ERP applications. These analysts have concluded that software testing must be aligned with DevOps and AgileOps practices to handle giant ERP transformation projects.

The Agile/DevOps approach is incomplete, inefficient and ineffective without continuous testing. In ERP migration projects where platforms are extended to incorporate new features, functionalities and technologies, continuous testing helps you transparently validate the performance of critical business processes. This significantly reduces the risks associated with a new implementation, along with scheduled software updates. By catching bugs early in the development cycle, continuous testing ensures minimal time and budget overruns while providing advantages in risk reduction.

What are the testing challenges of ERP transformations?

According to a report by Bloor (registration required), more than 80% of migration projects ran over budget in 2007. While I have seen that statistic Strengthen over the years, I know migration projects regularly face issues of running over budget and over time. A 2019 ERP report from Panorama Consulting Group (registration required) shows that 45% of respondents had an average budget overrun of 30%.

Here are some specific testing challenges.

• Unclear Testing Scope: Determining what to test remains a major challenge for QA teams. The business risk grows every time too little testing is done. If you test too much, it wastes the time and resources of your business users.

• Inadequate Test Coverage: There are many moving parts in any ERP migration project. Functional and nonfunctional attributes get added, updated or removed with these migrations. Testing needs to pass various stages, from a unit test to a volume test, and eventually a mock go-live cutover.

• Change Frequency: In a exact Deloitte CIO survey, almost 45% of respondents reported that managing changes in an ERP project scope is one of the top frustrations in planning their ERP journey (pg. 10).

• Testing Fatigue: ERP projects are long and tedious processes. Using a manual testing methodology for ERP transformations can be inefficient and error-prone. Ask yourself: “Can my business users provide their full effort to testing?”

Continuous testing for ERP applications: How can I make it work?

To incorporate continuous testing for a digital transformation, leaders must utilize automation. Teams should now focus on next-generation automation platforms that allow them to quickly build test cases, automate them and build the infrastructure to run them in a continuous fashion. Let’s review the four pillars of a continuous testing strategy.

• Know your ideal coverage: Here are some questions to ask yourself: “What’s my current test coverage? Am I testing all of our critical processes? If something goes seriously wrong, is it because I didn’t test enough?”

If the test cases you are automating only cover 30% of your core business processes, the automation might not be good enough. Emphasize knowing your ideal coverage and leverage a process mining technology to validate your ideal coverage. Test mining techniques surface your existing test cases, business processes and configurations from your system process log to determine your existing testing baseline.

• Apply continuous test development: Test assets require considerable reworks to keep pace with the frequent ERP changes typical in an accelerated release cycle. This speed cannot be achieved with continuous testing.

• Monitor changes continually: Ask yourself: “What has changed in the most exact ERP quarterly update? What business processes or test cases are going to be impacted?”

Emphasize the importance of knowing whether you are testing what is needed. Before the updates are pushed to production, use automation tools that provide better change visibility to users by alerting them of processes that will be impacted.

• Test execution at scale: Prepare a scalable infrastructure to run thousands of tests on-demand with every change. Opt for a platform that can run your tests continuously on-premises, in the cloud and on mobile seamlessly.

What do you need from a test automation tool?

Three key capabilities must exist in a test automation tool to support an ERP transformation’s continuous testing paradigm.

• Autonomous Configuration Of Tests: Many changes happen at the configuration level for any ERP transformation. Leaders should leverage an automation tool that can autonomously create relevant data sets for test execution.

• Continual Impact Analysis: In the ERP world, updates are rolled out frequently. QA teams can find it difficult to decide the minimum number of test cases that need to be executed to ensure business continuity in post-application updates. AI-based impact analysis recommends a minimum number of test cases that need to be executed based on highlighted risks, keeping business application disruptions at bay.

• Autonomous Self-Healing Tests: QA teams often struggle to continuously maintain test scripts with each new release. Through leveraging AI-powered self-healing capabilities, changes can be identified automatically and test scripts can be fixed autonomously.

Continuous Test Automation: A Summary

The key to successful AgileOps is releasing updates as early and as often as possible.

With enterprise application vendors like Oracle, Microsoft and SAP rolling out updates on a weekly, monthly or quarterly basis, enterprises need to embrace those updates as early as possible. However, supporting your software testing initiatives will only be achieved with the right continuous testing strategy.


Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?


Wed, 20 Jul 2022 00:15:00 -0500 Pankaj Goel en text/html https://www.forbes.com/sites/forbestechcouncil/2022/07/20/why-continuous-testing-is-the-key-to-unlocking-your-erp-transformation/
Killexams : To Pit or Not to Pit: How F1’s Red Bull Racing Makes Split-Second, Mid-Race Decisions

Photo credit: SYLVAIN THOMAS - Getty Images


"Hearst Magazines and Yahoo may earn commission or revenue on some items through the links below."

  • A partnership between Oracle and Red Bull Racing has pushed cloud computing into a central role in Formula 1 (F1) race preparation and race-day strategy.

  • Cloud computing has allowed Red Bull Racing to run billions of race simulations each weekend.

  • Future projects born from race-day analysis include designing a new F1 powertrain for 2026.

At a critical point in the Formula 1 Canadian Grand Prix race in June—with fan-favorite Max Verstappen’s Red Bull Racing car slightly leading Carlos Sainz Jr., who drives for Ferrari—Verstappen’s team had a key decision to make. Just eight laps in, the virtual safety car came out to slow the race cars down, leading to the pivotal question: to pit, or not to pit?

In Formula 1 races, it’s mandatory for drivers to take at least one pit stop. The real question is when to take it. If Red Bull pitted under the virtual safety car, it could reduce time lost during a stop. On the other hand, it would force the team to provide up the lead, and keeping Verstappen out on the track could also introduce the risk of deteriorating tires later in the race.

To decide what to do, the team ran simulations. Plenty of them. And in real time.

“If we pit under the virtual [safety] car, we’d provide up the lead, but the simulations were confident we would get the lead back again,” Will Courtenay, chief race strategist for Red Bull Racing, tells Popular Mechanics. “We took the pit stop, Sainz stayed out. Now we are 10 or so seconds behind, but then as the simulations correctly predicted, Sainz struggled on tires, and we got the lead back later in the race.” Verstappen won the Canadian Grand Prix on June 19, continuing his lead in the 2022 F1 standings, the same standings he dominated in 2021. (Teammate Sergio Pérez remains in third). Verstappen’s latest win, the Hungarian Grand Prix on July 31, was also thanks in part to some smart decision-making on which tires to choose.

Courtenay says the power of simulations, due to the new partnership with Oracle, has given the Red Bull team access to more data and better decision-making, both before and during a race. Red Bull went on a search for a cloud-based solution with a global reach, leading to Oracle joining the team in 2021. The partnership went so well that Oracle became a title partner in 2022. That continues to lead to beneficial results, both on the engineering side and in race strategy, according to Zoe Chilton, head of partnerships for Oracle Red Bull Racing (the full name Red Bull is currently competing under).

Every F1 team runs simulations. But Red Bull runs billions of them per weekend. Under F1’s budget cap, introduced in 2021, moving those simulations off-premise and into the cloud as teams traveled to 22 different countries not only saved Red Bull money it could be spending elsewhere, but sped up the process. “It is not just agility and efficiency,” Chilton tells Popular Mechanics. “By not running on-premise all week, it is a massive savings for us.”

“What we are trying to do is create a simulation of what a real race might look like,” Courtenay explains. “We feed in the model various factors—how tires perform, pace of all the cars, how long it takes to make a pit stop, a good or bad race start—and model as many aspects of the race as we possibly can.”

Then, the team tweaks a variable and runs the simulation again. And again. And again.

“Effectively, we end up doing this over the course of the weekend literally billions of times, generating billions of races and averaging results of all the simulations,” he says. Then, the team experiments with differing strategies. Once the race starts, the simulations don’t stop. The live simulations are where the value add has really come in, according to Courtenay. “Maybe suddenly you have a bad start and dropped six positions and now you’re in a completely different race scenario,” he says. “Our simulations have the capability of constantly updating at every overtake, a finish of a lap, updating predictions and recommendations based on how the race is unfolding. The live simulation is really existing in that situation.”

Photo credit: picture alliance - Getty Images

Take Miami as an example. A new track for the circuit in 2022, uncertainties about tire performance existed well before the race. Once the it started, the team quickly saw the tires were holding better than previously thought. With that data fed into the simulation, Courtenay says they were quickly able to pivot to a one-pit strategy.

“You haven’t got the time to sit down and have a good think,” he says. “What is the best thing for me right now? And I need the answer straightaway. The data quickly converged to a one-stop [strategy] and that gave us the confidence we could sit it out and go to a one-stop rather than having to panic. In a lot of uncertainty, it really helped us come to a good conclusion as quickly as we could.” On May 8, Verstappen won the Miami Grand Prix, and teammate Sergio Pérez came in fourth.

Moving to Oracle’s cloud-based system allowed Red Bull Racing to increase the number of simulations 25 times while accelerating speed 10 times over. “I get better results when I get them quicker,” Courtenay says. “When the safety car comes out, you need an answer straightaway. You can’t wait 30 seconds.”

Come 2026, F1 moves into the next stage of regulations, and Red Bull has embarked on the process of building its own powertrains. Chilton says they’re starting from scratch, so when thinking of engineering engine parts or car design, having the power of continuous simulation is paramount. “It is a very bespoke product for quite the niche,” she says. “If we use Oracle’s cloud infrastructure, we can test what kind of hardware and software run best. We can sample a lot of things. As we go forward, we are hoping to use more cloud resources for more fundamental business processes as well as the strategy simulations.”

The unique demands of F1 have benefits for others. Chilton says pushing the boundaries of what companies can do sets the team up for future success and can help a business explore new strategies.

“Oracle Red Bull Racing is our most demanding customer in terms of short-term demand,” Taylor Newill, senior director of motorsports engineering at Oracle, tells Popular Mechanics. “It has worked out really well and the infrastructure that Will and his team are driving us to build can service customers in financial and healthcare better as well.”

Photo credit: Charles Coates - Getty Images

Already, the hardware Oracle used to speed up the race simulations has successfully translated to health sciences customers that require faster data.

Oracle projects don’t stop at simulations and engineering. From small tasks, such as Oracle’s image-recognition system—with machine learning classifying images of rival cars to free up a staff member for more important work—to using AI technology to support the young driver training program, expect the reliance on computing speed to reach every aspect of Red Bull Racing’s business strategy.

Courtenay, though, remains focused on his task: race strategy. He’s already got plans for taking Oracle’s simulations up a notch. “We want to add more complexity, so we get a more accurate model of the race,” Courtenay says. And he needs it all right now. Life in F1 demands it.

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Thu, 04 Aug 2022 09:02:00 -0500 en-US text/html https://www.aol.com/lifestyle/pit-not-pit-f1-red-180200961.html
Killexams : Global cloud services spend up 33% to hit $62.3 billion in Q2 2022
Duncan is an award-winning editor with more than 20 years experience in journalism. Having launched his tech journalism career as editor of Arabian Computer News in Dubai, he has since edited an array of tech and digital marketing publications, including Computer Business Review, TechWeekEurope, Figaro Digital, Digit and Marketing Gazette.

Cloud infrastructure services continued to be in high demand in Q2 2022. Worldwide spending increased 33% year on year to $62.3 billion, driven by a range of factors, including demand for data analytics and machine learning, data center consolidation, application migration, cloud-native development and service delivery.

The growing use of industry-specific cloud applications also contributed to the broader horizontal use cases seen across IT transformation. The latest Canalys data shows expenditure was over US$6 billion more than in the previous quarter and US$15 billion more than in Q2 2021. The top three vendors in Q2 2022, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud, together accounted for 63% of global spending in Q2 2022 and collectively grew 42%.

Worldwide Cloud infrastructure services Q2 2022

In a global economy rife with inflation, rising interest rates and recession, demand for cloud services remains strong. AWS accounted for 31% of total cloud infrastructure services spend in Q2 2022, making it the leading cloud service provider. It grew 33% on an annual basis. Azure was the second largest cloud service provider in Q2, with a 24% market share after growing 40% annually. Google Cloud grew 45% in the latest quarter and accounted for an 8% market share.

The hyperscale battle between leader AWS and challenger Microsoft Azure continues to intensify, with Azure closing the gap on its rival. Fueling this growth, Microsoft pointed to a record number of larger multi-year deals in both the US$100 million-plus and US$1 billion-plus segments. A diverse go-to-market ecosystem, combined with a broad portfolio and wide range of software partnerships is enabling Microsoft to stay hot on the heels of AWS.

Canalys VP Alex Smith said: “Cloud remains the strong growth segment in tech. While opportunities abound for providers large and small, the interesting battle remains right at the top between AWS and Microsoft. The race to invest in infrastructure to keep pace with demand will be intense and test the nerves of the companies’ CFOs as both inflation and rising interest rates create cost headwinds.”

Both AWS and Microsoft are continuing to roll out infrastructure. AWS has plans to launch 24 availability zones across eight regions, while Microsoft plans to launch 10 new regions over the next year. In both cases, the providers are increasing investment outside of the US as they look to capture global demand and ensure they can provide low-latency and high data sovereignty solutions.

Smith added: “Microsoft announced it would extend the depreciable useful life of its server and network equipment from four to six years, citing efficiency improvements in how it is using technology.

“This will Strengthen operating income and suggests that Microsoft will sweat its assets more, which helps investment cycles as the scale of its infrastructure continues to soar. The question will be whether customers feel any negative impact in terms of user experience in the future, as some services will inevitably run on legacy equipment.”

Beyond the capacity investments, software capabilities and partnerships will be vital to meet customers’ cloud demands, especially when considering the compute needs of highly specialized services across different verticals.

Canalys research analyst Yi Zhang, said: “Most companies have gone beyond the initial step of moving a portion of their workloads to the cloud and are looking at migrating key services.

“The top cloud vendors are accelerating their partnerships with a variety of software companies to demonstrate a differentiated value proposition. Recently, Microsoft pointed to expanded services to migrate more Oracle workloads to Azure, which in turn are connected to databases running in Oracle Cloud.”

Canalys defines cloud infrastructure services as those that provide infrastructure-as-a-service and platform-as-a-service, either on dedicated hosted private infrastructure or shared public infrastructure. This excludes software-as-a-service expenditure directly, but includes revenue generated from the infrastructure services being consumed to host and operate them.

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Wed, 03 Aug 2022 19:39:00 -0500 en-GB text/html https://www.cloudcomputing-news.net/news/2022/aug/04/global-cloud-services-spend-up-33-to-hit-62-3-billion-in-q2-2022/
Killexams : Oracle Database Service for Microsoft Azure Now Available

News

Oracle Database Service for Microsoft Azure Now Available

Microsoft and database maker Oracle announced on Wednesday that their joint Oracle Database Service for Microsoft Azure is now generally available.

This new offering, which was unveiled during this week's Microsoft Inspire digital partner conference, brings tighter integration for Microsoft Azure customers who are leveraging Oracle's database services. According to a statement by the two companies, "Microsoft Azure customers can easily provision, access, and monitor enterprise-grade Oracle Database services in Oracle Cloud Infrastructure (OCI) with a familiar experience."

This includes creating and migrating applications from Azure to Oracle Database Services in a seamless transition that the companies claim can occur in "just a few clicks." Once migrated to Oracle Database Service, the two cloud environments are configured to link together and Azure Active Directory identities are shared among both clouds.

The service allows those familiar with Oracle Database Services to use the same dashboard, but with integrated Azure technology. Further, Azure Application Insights, which allows for performance management and monitoring of Web apps, has been integrated into the Oracle Database Service for Microsoft Azure dashboard.

Wednesday's general release is just the next step in a long-term partnership between Microsoft and Oracle in the cloud, and builds on the collaboration from the two companies' Oracle Interconnect for Microsoft Azure, a service launched in 2019 to help app migration in multicloud environments.

"There's a well-known myth that you can't run real applications across two clouds," said Clay Magouyrk, executive vice president of Oracle Cloud Infrastructure. "We can now dispel that myth as we provide Oracle and Microsoft customers the ability to easily test and demonstrate the value of combining Oracle databases with Azure applications. There is no need for deep skills on both of our platforms or complex configurations -- anyone can use the Azure Portal to get the power of our two clouds together."

There is no additional charge for migrating apps from one service to another. Oracle Database Service for Microsoft Azure will be available for all with current Azure or Oracle service agreements.


Wed, 27 Jul 2022 17:57:00 -0500 en-US text/html https://redmondmag.com/articles/2022/07/20/oracle-database-service-for-microsoft-azure-now-available.aspx
Killexams : What Are The Driving Forces Behind The Shift In Global Financial Markets Risks?

How to Protect your Wealth by Investing in AI Tech Stocks

Stock-Markets / Financial Markets 2022 Jul 17, 2022 - 06:32 PM GMT

By: Chris_Vermeulen

Stock-Markets

Global market risks have shifted dramatically over the past 90+ days. It almost seems as though the global markets turned 180 degrees overnight, generally going from moderately soft monetary policies to very extreme monetary policies and conditions. This sudden shift caught many traders and investors off guard and resulted in -20% to -25% losses for many.

The driving forces behind this sudden shift are inflation and excess capital (M2) because of nearly a decade of near-zero US interest rates. Much of the excess capital created over the past decade has been deployed into global equities, infrastructure, and various speculative instruments (art, homes, cryptos, collectibles, and others). However, without a doubt, the exact burst of inflation is also a result of COVID restrictions. Such restrictions reduced supply capabilities and the resulting interruptions of manufacturing/supply have been felt throughout the post-COVID global recovery.


Deleveraging Capital Excesses Causing Global Assets To Unwind Faster Than US Assets

The US & Global markets have contracted by more than 25%~35%. The following Custom Global Market Index highlights the extensive devaluation in global assets compared to US assets. US assets have fallen -23% from exact highs. Global assets have fallen -32% from exact highs – and are breaking downward again.

If this overall trend continues, it is very likely that Chinese & Asian markets could lead to a global contagion event related to extended credit/debt liabilities, economic expectations (GDP/Consumers), and real asset valuations. Over the past 5+ years, I’ve published many articles showing how China/Asia was uniquely positioned to take advantage of the US easy money policies. Results from this could extend credit/debt risks far beyond reasonable expectations. Is this global inflation event driving a global devaluation of assets?

Excess Phase Peak Consumption Can Lead To Extreme Risk Events

This excess phase consumption of cheap credit prompted many nations to engage in very high-risk multi-billion dollar infrastructure projects and other excesses.  The Belt-Road project is a perfect example of one nation extending billions of credit to at-risk nations to leverage cheap credit into future opportunities. As evidenced near every market peak, optimism near the peak of excess phases can be very addictive and dangerous.

Global debt levels have skyrocketed over the past 5+ years. With the US prompting extreme easy money policies, many foreign nations extended debt levels far beyond reasonable expectations when COVID hit. The following chart from the IMF shows consumers and corporations increased debt levels at an excessively higher rate in 2020. The excessive global debt levels are now evidently working as a liability for many Asian & Emerging markets.

(Source: https://www.imf.org/en/home)

Protecting & Growing Wealth When Markets Are In Chaos

I receive many questions from investors and traders every week. Generally, the most common question is “what can I do to profit right now from what is happening throughout the world?”. The simple answer to that question is to not extend any greater risk within your portfolio than necessary.

This chart from Bank of America Investment Strategies shows how aggressively World Government Bonds are reacting to inflation and global central bank rate increases. The short story of this chart is that Bonds are pricing in very unfavorable growth and capital function conditions over the next 3 to 5+ years. World Government bonds have reached risk levels we’ve not seen since post-WWI (1918+) or the Great Depression (1930+).

(Source: BankofAmerica.com)

Research & Technology Highlighted Risks & Opportunities

My research team and I have posted articles over the past 5+ years highlighting how global markets were taking advantage of the US monetary policy and inadvertently gorging themselves on cheap credit to address infrastructure, industrial, and consumer demand.  We’ve been warning of this moment and have strategies/technology to help you protect and grow your wealth as this chaos continues.

This Bloomberg Gold vs. Global Bonds chart highlights how aggressively global Bonds have adjusted to extreme risk factors. What this is telling traders/investors is that global central banks appear to have very few tools to efficiently manage inflationary trends – and these reflect in extreme risk factors in global bonds. Quickly raising rates to combat inflation trends may aggressively compound risk factors at this point. This chart is clearly showing us that global risk factors have never been this extreme, or disconnected, over the past 8+ years.

(Source: Bloomberg.com)

I suggest taking immediate action while this market chaos continues. Even though it may seem frightening, this is one of the best opportunities for you to take control of your assets, and also learn how to better protect and grow your wealth while the markets deleverage and resettle. Eventually, a market bottom will confirm, and global assets will begin another rally phase. Before this happens, though, all traders/investors need to begin taking immediate actions/steps to manage, protect and grow their wealth as efficiently as possible.

WHAT STRATEGIES CAN HELP YOU NAVIGATE THE CURRENT MARKET TRENDS?

Learn how we use specific tools to help us understand price cycles, set-ups, and price target levels in various sectors. Also, learn how we identify strategic entry and exit points for trades. Over the next 12 to 24+ months, we expect very large price swings in the US stock market. The markets have begun to transition away from the continued central bank support rally phase. A revaluation phase has started as global traders attempt to identify the next big trends. Precious Metals may start to act as a proper hedge as caution and concern begin to drive traders/investors into safe havens.

Historically, bonds have served as one of these safe havens. This isn’t proving to be the case, so if bonds are off the table, what bond alternatives are there? How can they be deployed in a bond replacement strategy?

HOW WE CAN HELP YOU LEARN TO INVEST CONSERVATIVELY

At TheTechnicalTraders.com, my team and I can do these things:

  • Reduce your FOMO and manage your emotions.
  • Have proven trading strategies for bull and bear markets.
  • Provide quality trades for investing conservatively.
  • Tell you when to take profits and exit trades.
  • Save you time with our research.
  • Provide above-average returns/growth over the long run.
  • Have consistent growth with low volatility/risks.
  • Make trading and investing safer, more profitable, and educational.

Sign up for my free trading newsletter so you don’t miss the next opportunity!

We invite you to join our group of active traders and investors to learn and profit from our three ETF Technical Trading Strategies. We can help you protect and grow your wealth in any type of market condition by clicking on the following link: www.TheTechnicalTraders.com

Have a great day!

Chris Vermeulen
www.TheTechnicalTraders.com

Chris Vermeulen has been involved in the markets since 1997 and is the founder of Technical Traders Ltd. He is an internationally recognized technical analyst, trader, and is the author of the book: 7 Steps to Win With Logic

Through years of research, trading and helping individual traders around the world. He learned that many traders have great trading ideas, but they lack one thing, they struggle to execute trades in a systematic way for consistent results. Chris helps educate traders with a three-hour video course that can change your trading results for the better.

His mission is to help his clients boost their trading performance while reducing market exposure and portfolio volatility.

He is a regular speaker on HoweStreet.com, and the FinancialSurvivorNetwork radio shows. Chris was also featured on the cover of AmalgaTrader Magazine, and contributes articles to several leading financial hubs like MarketOracle.co.uk

Disclaimer: Nothing in this report should be construed as a solicitation to buy or sell any securities mentioned. Technical Traders Ltd., its owners and the author of this report are not registered broker-dealers or financial advisors. Before investing in any securities, you should consult with your financial advisor and a registered broker-dealer. Never make an investment based solely on what you read in an online or printed report, including this report, especially if the investment involves a small, thinly-traded company that isn’t well known. Technical Traders Ltd. and the author of this report has been paid by Cardiff Energy Corp. In addition, the author owns shares of Cardiff Energy Corp. and would also benefit from volume and price appreciation of its stock. The information provided here within should not be construed as a financial analysis but rather as an advertisement. The author’s views and opinions regarding the companies featured in reports are his own views and are based on information that he has researched independently and has received, which the author assumes to be reliable. Technical Traders Ltd. and the author of this report do not guarantee the accuracy, completeness, or usefulness of any content of this report, nor its fitness for any particular purpose. Lastly, the author does not guarantee that any of the companies mentioned in the reports will perform as expected, and any comparisons made to other companies may not be valid or come into effect.

© 2005-2019 http://www.MarketOracle.co.uk - The Market Oracle is a FREE Daily Financial Markets Analysis & Forecasting online publication.

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Killexams : Oracle and Microsoft Announce Availability of Oracle Database Service for Microsoft Azure

Oracle partners with Microsoft to provide Azure customers direct, streamlined access to Oracle databases on Oracle Cloud Infrastructure

AUSTIN, Texas and REDMOND, Wash., July 20, 2022 /PRNewswire/ -- Oracle Corp and Microsoft Corp today announced the general availability of Oracle Database Service for Microsoft Azure. With this new offering, Microsoft Azure customers can easily provision, access, and monitor enterprise-grade Oracle Database services in Oracle Cloud Infrastructure (OCI) with a familiar experience. Users can migrate or build new applications on Azure and then connect to high-performance and high-availability managed Oracle Database services such as Autonomous Database running on OCI.

Oracle Database Service for Microsoft Azure

Offering Customers Choice with Azure and OCI Multicloud Capabilities

Over the last two decades, thousands of customers have relied on Microsoft and Oracle software working well together to run their business-critical applications. As customers migrate applications and data to the cloud, they continue to look for joint solutions from their trusted software partners. Since 2019, when Oracle and Microsoft partnered to deliver the Oracle Interconnect for Microsoft Azure, hundreds of organizations have used the secure and private interconnections in 11 global regions.

Microsoft and Oracle are extending this collaboration to further simplify the multicloud experience with Oracle Database Service for Microsoft Azure. Many joint customers, including some of the world's largest corporations such as AT&T, Marriott International, Veritas and SGS, want to choose the best services across cloud providers to optimize performance, scalability, and the ability to accelerate their business modernization efforts. The Oracle Database Service for Microsoft Azure builds upon the core capabilities of the Oracle Interconnect for Azure and enables customers to more easily integrate workloads on Microsoft Azure with Oracle Database services on OCI. There are no charges for using the Oracle Database Service for Microsoft Azure, the Oracle Interconnect for Microsoft Azure or data egress or ingress when moving data between OCI and Azure. Customers will pay only for the other Azure or Oracle services they consume, such as Azure Synapse or Oracle Autonomous Database.

"Microsoft and Oracle have a long history of working together to support the needs of our joint customers, and this partnership is an example of how we offer customer choice and flexibility as they digitally transform with cloud technology. Oracle's decision to select Microsoft as its preferred partner deepens the relationship between our two companies and provides customers with the assurance of working with two industry leaders," said Corey Sanders, corporate vice president, Microsoft Cloud for Industry and Global Expansion.

"There's a well-known myth that you can't run real applications across two clouds. We can now dispel that myth as we provide Oracle and Microsoft customers the ability to easily test and demonstrate the value of combining Oracle databases with Azure applications. There is no need for deep skills on either of our platforms or complex configurations—anyone can use the Azure Portal to harness the power of our two clouds together," said Clay Magouyrk, executive vice president, Oracle Cloud Infrastructure.

"Multicloud takes on a whole new meaning with the launch of the Oracle Database Service for Microsoft Azure. This service, designed to provide intuitive, simple access to the Exadata Database Service and Autonomous Database to Azure users in a transparent manner, responds to the critical need of Azure and Oracle customers to apply the benefits of the latest in Oracle Database technology to their Azure workloads. This combined and interactive connection of services across public clouds sets the stage for what a multicloud experience should be, and is a bold statement about where the future of cloud is heading. It should deliver huge benefits for customers, developers, and the cloud services landscape overall," said Carl Olofson, research vice president, Data Management Software, IDC.

Familiar Experience for Azure Users Combined with an Oracle Managed Service

With the new Oracle Database Service for Microsoft Azure, in just a few clicks users can connect their Azure subscriptions to their OCI tenancy. The service automatically configures everything required to link the two cloud environments and federates Azure Active Directory identities, making it easy for Azure customers to use the service. It also provides a familiar dashboard for Oracle Database Services on OCI using Azure terminology and monitoring with Azure Application Insights.

"Many of our mission-critical workloads are running Oracle databases on-premises at massive scale. As we move these workloads to the cloud, Oracle Database Service for Azure enables us to modernize these Oracle databases to services such as Autonomous Database in OCI while leveraging Microsoft Azure for the application tier," said Jeremy Legg, chief technology officer, AT&T. Watch the video.

"Multicloud architectures enable us to choose the best cloud provider for each workload based on capabilities, performance, and price. The OCI and Azure partnership integrates the capabilities of two major cloud providers, including the Oracle Database services in OCI and Azure's application development capabilities," said Naveen Manga, chief technology officer, Marriott International. Watch the video.

"Oracle Database Service for Microsoft Azure has simplified the use of a multicloud environment for data analytics. We were able to easily ingest large volumes of data hosted by Oracle Exadata Database Service on OCI to Azure Data Factory where we are using Azure Synapse for analysis," said Jane Zhu, senior vice president and chief information officer, Corporate Operations, Veritas.

"Oracle Database Service for Microsoft Azure simplifies our multicloud approach. We're going to be able to leverage the best of Oracle databases in Azure, and we are going to be able to keep our infrastructure in Azure. This is a great opportunity to have the best of the two worlds that eases our migration to the cloud and improves the skills of our people in IT," said David Plaza, chief information officer, SGS. Watch the video.

Additional Resources

About Oracle

Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at oracle.com.

About Microsoft

Microsoft (Nasdaq "MSFT" @microsoft) enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more.

Trademarks

Oracle, Java, and MySQL are registered trademarks of Oracle Corporation.

Contact Info

Carolin Bachmann
Oracle PR
+1.415.622.8466
carolin.bachmann@oracle.com

Microsoft Media Relations
WE Communications for Microsoft
+1 425 638 7777
rapidresponse@we-worldwide.com

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SOURCE Oracle

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Killexams : To Pit or Not to Pit: How F1’s Red Bull Racing Makes Split-Second, Mid-Race Decisions
  • A partnership between Oracle and Red Bull Racing has pushed cloud computing into a central role in Formula 1 (F1) race preparation and race-day strategy.
  • Cloud computing has allowed Red Bull Racing to run billions of race simulations each weekend.
  • Future projects born from race-day analysis include designing a new F1 powertrain for 2026.

At a critical point in the Formula 1 Canadian Grand Prix race in June—with fan-favorite Max Verstappen’s Red Bull Racing car slightly leading Carlos Sainz Jr., who drives for Ferrari—Verstappen’s team had a key decision to make. Just eight laps in, the virtual safety car came out to slow the race cars down, leading to the pivotal question: to pit, or not to pit?

In Formula 1 races, it’s mandatory for drivers to take at least one pit stop. The real question is when to take it. If Red Bull pitted under the virtual safety car, it could reduce time lost during a stop. On the other hand, it would force the team to provide up the lead, and keeping Verstappen out on the track could also introduce the risk of deteriorating tires later in the race.

To decide what to do, the team ran simulations. Plenty of them. And in real time.

“If we pit under the virtual [safety] car, we’d provide up the lead, but the simulations were confident we would get the lead back again,” Will Courtenay, chief race strategist for Red Bull Racing, tells Popular Mechanics. “We took the pit stop, Sainz stayed out. Now we are 10 or so seconds behind, but then as the simulations correctly predicted, Sainz struggled on tires, and we got the lead back later in the race.” Verstappen won the Canadian Grand Prix on June 19, continuing his lead in the 2022 F1 standings, the same standings he dominated in 2021. (Teammate Sergio Pérez remains in third). Verstappen’s latest win, the Hungarian Grand Prix on July 31, was also thanks in part to some smart decision-making on which tires to choose.

Courtenay says the power of simulations, due to the new partnership with Oracle, has given the Red Bull team access to more data and better decision-making, both before and during a race. Red Bull went on a search for a cloud-based solution with a global reach, leading to Oracle joining the team in 2021. The partnership went so well that Oracle became a title partner in 2022. That continues to lead to beneficial results, both on the engineering side and in race strategy, according to Zoe Chilton, head of partnerships for Oracle Red Bull Racing (the full name Red Bull is currently competing under).

Every F1 team runs simulations. But Red Bull runs billions of them per weekend. Under F1’s budget cap, introduced in 2021, moving those simulations off-premise and into the cloud as teams traveled to 22 different countries not only saved Red Bull money it could be spending elsewhere, but sped up the process. “It is not just agility and efficiency,” Chilton tells Popular Mechanics. “By not running on-premise all week, it is a massive savings for us.”

“What we are trying to do is create a simulation of what a real race might look like,” Courtenay explains. “We feed in the model various factors—how tires perform, pace of all the cars, how long it takes to make a pit stop, a good or bad race start—and model as many aspects of the race as we possibly can.”

Then, the team tweaks a variable and runs the simulation again. And again. And again.

“Effectively, we end up doing this over the course of the weekend literally billions of times, generating billions of races and averaging results of all the simulations,” he says. Then, the team experiments with differing strategies. Once the race starts, the simulations don’t stop. The live simulations are where the value add has really come in, according to Courtenay. “Maybe suddenly you have a bad start and dropped six positions and now you’re in a completely different race scenario,” he says. “Our simulations have the capability of constantly updating at every overtake, a finish of a lap, updating predictions and recommendations based on how the race is unfolding. The live simulation is really existing in that situation.”

Sergio Pérez from Mexico, of Team Oracle Red Bull, on the track in Bahrain during Formula 1 pre-season testing, March 10, 2022.

picture allianceGetty Images

Take Miami as an example. A new track for the circuit in 2022, uncertainties about tire performance existed well before the race. Once the it started, the team quickly saw the tires were holding better than previously thought. With that data fed into the simulation, Courtenay says they were quickly able to pivot to a one-pit strategy.

“You haven’t got the time to sit down and have a good think,” he says. “What is the best thing for me right now? And I need the answer straightaway. The data quickly converged to a one-stop [strategy] and that gave us the confidence we could sit it out and go to a one-stop rather than having to panic. In a lot of uncertainty, it really helped us come to a good conclusion as quickly as we could.” On May 8, Verstappen won the Miami Grand Prix, and teammate Sergio Pérez came in fourth.

Moving to Oracle’s cloud-based system allowed Red Bull Racing to increase the number of simulations 25 times while accelerating speed 10 times over. “I get better results when I get them quicker,” Courtenay says. “When the safety car comes out, you need an answer straightaway. You can’t wait 30 seconds.”

Come 2026, F1 moves into the next stage of regulations, and Red Bull has embarked on the process of building its own powertrains. Chilton says they’re starting from scratch, so when thinking of engineering engine parts or car design, having the power of continuous simulation is paramount. “It is a very bespoke product for quite the niche,” she says. “If we use Oracle’s cloud infrastructure, we can test what kind of hardware and software run best. We can sample a lot of things. As we go forward, we are hoping to use more cloud resources for more fundamental business processes as well as the strategy simulations.”

The unique demands of F1 have benefits for others. Chilton says pushing the boundaries of what companies can do sets the team up for future success and can help a business explore new strategies.

“Oracle Red Bull Racing is our most demanding customer in terms of short-term demand,” Taylor Newill, senior director of motorsports engineering at Oracle, tells Popular Mechanics. “It has worked out really well and the infrastructure that Will and his team are driving us to build can service customers in financial and healthcare better as well.”

Max Verstappen of the Netherlands and Red Bull Racing waves to the fans during F1 Live London at Trafalgar Square on July 12, 2017 in London, England.

Charles CoatesGetty Images

Already, the hardware Oracle used to speed up the race simulations has successfully translated to health sciences customers that require faster data.

Oracle projects don’t stop at simulations and engineering. From small tasks, such as Oracle’s image-recognition system—with machine learning classifying images of rival cars to free up a staff member for more important work—to using AI technology to support the young driver training program, expect the reliance on computing speed to reach every aspect of Red Bull Racing’s business strategy.

Courtenay, though, remains focused on his task: race strategy. He’s already got plans for taking Oracle’s simulations up a notch. “We want to add more complexity, so we get a more accurate model of the race,” Courtenay says. And he needs it all right now. Life in F1 demands it.

Tim Newcomb is a journalist based in the Pacific Northwest.

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