Multi-cloud demands intelligence

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A single typing error can disrupt the entire service provision. Experience at a large international cloud provider teaches that the risk of a malfunction caused by human error is still ever-present. What’s more: as more and more organizations set up multi-cloud environments, this poses a major challenge, which only fortifies the demand for the ability to be able to manage multiple cloud-based services as one environment and the tools for doing this.

Being able to successfully and adequately operationally manage a multi-cloud environment succeeds or fails with the concept and knowledge of the underlying technology. Attempting to manually implement a simple to use management environment is impossible. There are simply too many components, each of which has its own particular features: public cloud services, systems at their own site, data services, software as a service, linked devices, the network infrastructure, et cetera. This is simply too big a task for a human being.

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Key role

A cognitive system can offer a solution for creating a consistent, high-performance, safe, reliable platform. Data plays a key role here. After all, all the underlying systems produce large quantities of data, which viewed using the right method, are indicative for their function. The challenge is that the data stream is so enormous that it is difficult to determine what information is relevant.

Moreover, the traditional tension between business and IT doesn’t make managing the multi-cloud any easier. Where on the one hand, the business wants to have control over its own infrastructure and applications, the IT function must ensure comprehensive security and governance. In doing this, the operational IT must guarantee that the performance of the IT landscape always sufficiently satisfies customers’ and end users’ wishes and requirements.

Three reasons

Again: that is a multi-cloud environment, with diverse workloads and deployment models, by no means always easy. There are three reasons that this requires an automated approach based on artificial intelligence:

1. The enormous quantity of data to be processed must not only be processed; it must also be interpreted.
2. Algorithms can optimize the relationship and performance of all components.
3. With natural language processing, developers can observe and resolve problems.

Control, combined with a certain level of freedom to resolve affairs and issues based on personal insight is the basis for managing the multi-cloud – from both the IT perspective and the perspective of the business. All this in the interest of flawless service provision and performance for customers and end users. Because in the multi-cloud era, as well, malfunctions are both undesirable and unnecessary.

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