We have already analyzed the phenomenon of Hybrid cloud O hybrid cloud and we explain in detail why This model –hinting a combination of services in the cloud internal and external– became the most chosen by organizations. Now: sand the present is from hybrid cloud, the the future is distributed cloud.
For what reason? Because organizations need a scheme that they ensure lower latency, lower costs of data transmission and facilities to respond to problems of compliance (for instance, to regulations andEuropean companies that require data citizens are stored within specific geographic boundaries). And what is more they need a model of Cloud data management which can also provide real-time responses on the border, for those cases where applications would not tolerate significant latencies.
You may be interested in continuing reading: The new normal is in the cloud
The distributed cloud recognizes three origins:
- Public cloud
- Hybrid cloud
- Edge computing (O should Computing).
Actually the Public cloud providers already vthey have supporting diverse geographic areas and regions for years. But, with packaged hybrid offerings These services can now be distributed to different physical locations, for instance, the edge.
With so much luck,to distributed cloud (or distributed Cloud) it's mea service distribution of Npublic ube to different physical locations, in a frame where operation, governance, updates and evolution of services they are reN responsibility of the supplierube public fountain.
Some analysts estimate that This model will be a trend in 2021 as, among other things, It allowsY respond to different N use casesube depending on the location that will be needed in the future.
Centrally controlled distribution
This scheme distributed cloud involves moving from cloud solutions Computing centralized to decentralized, with computing resources that are close to the edge, in line with the proposal of should Computing– but still with centralized control.
What does this turn answer to? al Distributed cloud? It happens that today companies must support edge-based computing systems –included everything the frame of IoT and other specialized processes– that must be resolved near the data source.
This means that, although we have spent the last few years centralizing storage Y the process in public clouds, now there are reasons to place a littles applications connected to the Nube and data sources close to where they can be most effective, still when it follows maintain a close link with a public cloud provider.
Superior performance
The new model incorporates the physical location of the services provided in the Nube as part of its definition.
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To 2024, most cloud service platforms will provide at least some distributed cloud services that will run where they are needed. Source: Gartner |
In this way the operations –What will be physically closer of which the demand– will offer performance improvements, due to elimination of latency issues. It will also be reduced the risk of global network outages (by having remote replicas), among other advantages.
The distributed cloud allows you to deploy multiple applications or application components with one common set of policies and overall visibility across varied locations and heterogeneous infrastructure using a cloud native model.
Keep reading Cloud: How to define a good cloud data strategy?
But nevertheless, they are not all roses either with this scheme nascent. LDistributed computing systems are difficult to maintain, implement and fix. What's more, YThe cost of implementation is higher Y manage its security generally Outcome complex. With what pTo adopt this model, the organizations they will have to plan implementation. Among other things shall prepare your infrastructures Y to guarantee Solid connectivity between the different modules of the Cloud environment.
Is your company thinking of distributing Cloud services to different physical locations?
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