That hybrid cloud model lets companies run some workloads in a hyperscale public cloud and others in its own data centers.Īnd distributed cloud must embrace the reality that most organizations need more than a single public cloud and must be able to put their key workloads in the cloud that best suits them. But it was not distributed enough that a company or even a small country could have its own cloud offering the same services as the public cloud-but in the location of its choice.ĭistributed cloud encompasses more deployment options, including the ability to run cloud services “out there” on a hyperscale public cloud but also inside an organization’s own cloud. First-generation public cloud could be described as “distributed” inasmuch as the providers ran a few dozen “cloud regions” worldwide. Many require that employees and companies who manage and monitor cloud resources must also be citizens of the home country and cleared for such work.įor these reasons, a new, fully distributed cloud model must incorporate more deployment options. In addition, some countries mandate that data and cloud services remain off-limits to foreign actors, be they companies or governments. ![]() As noted, many countries do not yet have public cloud regions of their own, so this is a growing issue.ģ: Data sovereignty. Some prohibit data transfer across borders even if the origination point and destination are both located in-country. Some countries require that key data relating to their citizens and governmental processes be stored and/or processed within their borders. This is an obvious issue in the many countries where cloud regions aren’t yet available, or even in states or provinces that are a long way from the nearest cloud region.Ģ: Data residency. ![]() Latency between systems is measured in nanoseconds. For example, in high-frequency trading operations, the system executing the order and the responding system must be physically close to each other or “co-located” to work optimally. When an application “server” is running hundreds, or even thousands of miles away, some “client” delays or interruptions are inevitable. There are several reasons that public cloud is not enough for all needs.ġ: Latency. That seemed a fine model as far as it went but, 15 years later, it turns out that modern- day cloud needs to be much more flexible-and a lot more distributed-than that. The early sales pitch for cloud computing was: “Put your data in our massive cloud regions and we’ll take care of processing and storing it for you.” The vision was of a one-way flow of data and applications from one company’s on-prem data centers to another company’s cloud data centers. The Architecture Diagramming tool is integrated with the Google Cloud Developer Cheat Sheet, so one can easily check out the four-word descriptions and documentation linked to each component of your diagram.By Leo Leung, Vice President, Product Management, Oracle Cloud Infrastructure In cloud computing as in real-estate, location really, really matters There are also a few full architecture examples that can be deployed for reference. Deploy with one click – Once the architecture is ready, it can be deployed on the google cloud with a single click. ![]() So the tool includes over ten prebuilt reference architectures for common use cases such as data science, machine learning, websites, CI/CD, microservices, computing, and more.
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