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Episode 12: Google Gets Distributed, Mobile+ and Optimizing Wendy’s Drive Thru
Inside Living on the Edge episode 12, Jason and Dan discuss Google’s next step into the edge cloud, evolution of the mobile app, multi-cloud enabling best of breed services, movement of cloud to decentralize, optimizing the drive thru experience at Wendys using mobile edge and AI.
Links:
- Introducing Google Distributed Cloud—in your data center, at the edge, and in the cloud — Available in preview today, Google Distributed Cloud Edge is a fully managed product that brings Google Cloud’s infrastructure and services closer to where your data is being generated and consumed. Google Distributed Cloud Edge empowers you to run 5G Core and radio access network (RAN) functions at the edge, alongside enterprise applications, to support mission-critical use cases such as computer vision and Google AI edge inferencing.
Google Distributed Cloud Edge is ideal for running local data processing, low-latency edge compute workloads, modernizing on-premises environments, and deploying private 5G/LTE solutions across a variety of industries. With Google Distributed Cloud Edge, retailers can provision applications at a Google network location, which allows in-store teams to focus on customers rather than sorting out IT. Manufacturers can save time and money by using video for visual inspections on factory floors, and CSPs can offer high-speed bandwidth with private 5G and localized compute to their customers. The Inevitability of Multi-Cloud-Native Apps — Uber and Twitter public disclosures describe how the multi-cloud-native model is an integral part of their strategic game plan. Hybrid and multi-cloud are part of this, too, leveraging Kubernetes as a cluster manager, but they still need tools to manage all those clusters across multiple environments in multiple regions at planet scale.
The bottom line is that the architecture that webscale companies are using today is the same one enterprises will need to adopt tomorrow to remain competitive. Alternatively, these enterprises will cede market share and relevance to the next webscale innovator to disrupt an industry. In adopting this model of building multi-cloud-native apps, enterprises will have to deal with unified access management, controlling multiple clusters, resource management and more, all across multiple regions and clusters of capacity, aggregating versus disaggregating cluster resources, using logical services that span clouds versus namespaces that span a single cluster.The Real Value Of Multi-Cloud: Getting Best-In-Breed Cloud Services — In general, the best-in-breed concept is simple. Companies will allow their app teams to select the higher-level services that best meet their needs across clouds. Examples of these higher-level services include databases, messaging systems and AI/ML services. Rather than looking at public clouds as monoliths (either going all-in on a public cloud and using all of its services or using none of them), app teams are encouraged to compare specific services within clouds and from third parties to see how well they meet their needs. The basic precept of the best-in-breed concept is to look at clouds and third parties as simply collections of services that can be mixed and matched as an app team's needs dictate. This can provide much greater optionality to app teams and allow them to get the best experience and functionality in building and operating their applications. Today’s cloud environments are hardly all-encompassing, one-size-fits-all solutions. — It’s important to weigh enterprise connectivity options — internet, direct connections or working with an exchange broker that offers direct connections to multiple cloud service providers. “All three are valid depending on your maturity,” Rials says. “All three should be considered.” As with cloud orchestration platforms, it’s important the underlying network infrastructure can manage connectivity across multiple cloud providers. “Design your network infrastructure upfront so you have toolsets that are not native to specific cloud service providers, but that are cloud agnostic,” Rials says. Living On The Edge: How Next-Gen Mobile Networks Will Drive The Evolution Of Cloud Computing — If 5G-enabled edge computing is going to happen, cloud providers also need to adapt the cloud architectures they’ve helped develop for this new decentralized model. For example, developers need to be able to localize applications to reduce service latency; alleviate variance/jitter; ensure the resilience/survivability of operations in the event of an outage; leverage data efficiently (e.g., perform machine learning at the edge, data transformations, aggregations, or time-series analyses); or simply avoid costs associated with data transmission. In short, the need to develop new experiences that operate in edge environments requires cloud providers to create an open, efficient, and consistent environment enabling the cloud developer community to thrive. Telefónica Deutschland / O2 showcases solutions for networking real-time applications — Telefónica Deutschland / O2 is presenting applications from a total of four industry sectors at the world's leading congress for international transport systems, the ITS World Congress in Hamburg. Among other things, Telefónica Deutschland / O2 and partners such as Continental, T-Systems, Deutsche Telekom and MobiledgeX will use a traffic collision warning app to demonstrate the technical interaction of two otherwise separate communication networks in real time. Wendy’s enhance mobile drive thru ordering with AI — Wendy’s Company intends to leverage artificial intelligence (AI) and hybrid cloud tools to create new ways customers can order food via touchpoints including drive-thru and mobile device. The fast food hamburger chain will utilize Google Cloud data analytics, AI, machine learning (ML), and hybrid cloud technology, such as speech-to-text and Google search and maps to streamline customer access. Google Cloud will serve as Wendy’s preferred cloud provider.
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By MobiledgeX
5
11 ratings
Inside Living on the Edge episode 12, Jason and Dan discuss Google’s next step into the edge cloud, evolution of the mobile app, multi-cloud enabling best of breed services, movement of cloud to decentralize, optimizing the drive thru experience at Wendys using mobile edge and AI.
Links:
- Introducing Google Distributed Cloud—in your data center, at the edge, and in the cloud — Available in preview today, Google Distributed Cloud Edge is a fully managed product that brings Google Cloud’s infrastructure and services closer to where your data is being generated and consumed. Google Distributed Cloud Edge empowers you to run 5G Core and radio access network (RAN) functions at the edge, alongside enterprise applications, to support mission-critical use cases such as computer vision and Google AI edge inferencing.
Google Distributed Cloud Edge is ideal for running local data processing, low-latency edge compute workloads, modernizing on-premises environments, and deploying private 5G/LTE solutions across a variety of industries. With Google Distributed Cloud Edge, retailers can provision applications at a Google network location, which allows in-store teams to focus on customers rather than sorting out IT. Manufacturers can save time and money by using video for visual inspections on factory floors, and CSPs can offer high-speed bandwidth with private 5G and localized compute to their customers. The Inevitability of Multi-Cloud-Native Apps — Uber and Twitter public disclosures describe how the multi-cloud-native model is an integral part of their strategic game plan. Hybrid and multi-cloud are part of this, too, leveraging Kubernetes as a cluster manager, but they still need tools to manage all those clusters across multiple environments in multiple regions at planet scale.
The bottom line is that the architecture that webscale companies are using today is the same one enterprises will need to adopt tomorrow to remain competitive. Alternatively, these enterprises will cede market share and relevance to the next webscale innovator to disrupt an industry. In adopting this model of building multi-cloud-native apps, enterprises will have to deal with unified access management, controlling multiple clusters, resource management and more, all across multiple regions and clusters of capacity, aggregating versus disaggregating cluster resources, using logical services that span clouds versus namespaces that span a single cluster.The Real Value Of Multi-Cloud: Getting Best-In-Breed Cloud Services — In general, the best-in-breed concept is simple. Companies will allow their app teams to select the higher-level services that best meet their needs across clouds. Examples of these higher-level services include databases, messaging systems and AI/ML services. Rather than looking at public clouds as monoliths (either going all-in on a public cloud and using all of its services or using none of them), app teams are encouraged to compare specific services within clouds and from third parties to see how well they meet their needs. The basic precept of the best-in-breed concept is to look at clouds and third parties as simply collections of services that can be mixed and matched as an app team's needs dictate. This can provide much greater optionality to app teams and allow them to get the best experience and functionality in building and operating their applications. Today’s cloud environments are hardly all-encompassing, one-size-fits-all solutions. — It’s important to weigh enterprise connectivity options — internet, direct connections or working with an exchange broker that offers direct connections to multiple cloud service providers. “All three are valid depending on your maturity,” Rials says. “All three should be considered.” As with cloud orchestration platforms, it’s important the underlying network infrastructure can manage connectivity across multiple cloud providers. “Design your network infrastructure upfront so you have toolsets that are not native to specific cloud service providers, but that are cloud agnostic,” Rials says. Living On The Edge: How Next-Gen Mobile Networks Will Drive The Evolution Of Cloud Computing — If 5G-enabled edge computing is going to happen, cloud providers also need to adapt the cloud architectures they’ve helped develop for this new decentralized model. For example, developers need to be able to localize applications to reduce service latency; alleviate variance/jitter; ensure the resilience/survivability of operations in the event of an outage; leverage data efficiently (e.g., perform machine learning at the edge, data transformations, aggregations, or time-series analyses); or simply avoid costs associated with data transmission. In short, the need to develop new experiences that operate in edge environments requires cloud providers to create an open, efficient, and consistent environment enabling the cloud developer community to thrive. Telefónica Deutschland / O2 showcases solutions for networking real-time applications — Telefónica Deutschland / O2 is presenting applications from a total of four industry sectors at the world's leading congress for international transport systems, the ITS World Congress in Hamburg. Among other things, Telefónica Deutschland / O2 and partners such as Continental, T-Systems, Deutsche Telekom and MobiledgeX will use a traffic collision warning app to demonstrate the technical interaction of two otherwise separate communication networks in real time. Wendy’s enhance mobile drive thru ordering with AI — Wendy’s Company intends to leverage artificial intelligence (AI) and hybrid cloud tools to create new ways customers can order food via touchpoints including drive-thru and mobile device. The fast food hamburger chain will utilize Google Cloud data analytics, AI, machine learning (ML), and hybrid cloud technology, such as speech-to-text and Google search and maps to streamline customer access. Google Cloud will serve as Wendy’s preferred cloud provider.