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Multi-Cloud environments

1 January, 1970

In our blog Balance the old and new, I shared my view on how to balance between the more mature IT, and the new. In this blog we will talk about IBM’s MultiCloud Management (MCM) portfolio.

IBM will focus more and more on the cloud and AI business in the future and cut ties to its traditional infrastructure-based out-of-business service. In this blog post we focus on this area and unlock the opportunities IBM’s MultiCloud Management (MCM) portfolio together with new AIOps capabilities create for our partners and end customers.

IBM’s strategy for this area can be summed up in three larger themes:

Theme one: One view and control point for the entire IT environment

Since the multi-cloud world is a reality for the majority of organizations, without a consolidated view of all its environments used by the organization, it is practically impossible to maintain and manage them cost-effectively.

The tools found in the MCM portfolio allow organizations to draw a map of both the public clouds in use and their more traditional on-premise environments. The tools available make it possible to monitor environments from the infrastructure layer to the application level.

Once the entire IT platform is described in a single tool, you can monitor the situation more closely in real time and make the necessary changes flexibly, without having to use many different user interfaces. The IBM MultiCloud Management console integrates directly with APIs, including the most common labeling, log analysis, and monitoring systems.

Theme two: Unified control layer

Today’s business does not have time to wait weeks or days to make the necessary resources available, but developers, for example, have a genuine need to utilize IT capacity precisely when the work requires it. If your IT is unable to meet this need, the threshold for acquiring capacity from the cloud with a credit card is quite low. This, in turn, creates potentially large shadow IT entities, where prearranged practices in terms of security, for instance, may not materialize.

The answer to merging the two extremes is a standardized platform service that has been brought clearly into, e.g., the DevOps pipeline. This allows developers to focus on the issues that are important to them, i.e. the development work itself, but at the same time this ensures that the business uses platforms that meet the necessary security and configuration requirements, among other things.

Theme three: IT automation

Automation has been involved in business processes for a long time, but now the same approach can also be better applied in IT operations. Cost-effectiveness and scalability can be clearly improved by automating, for example, commissioning services from the infrastructure layer to applications where possible. This frees up IT experts’ working hours for tasks that are more important and reduces resource-related bottlenecks in processes.

The latest addition to IBM’s platform layer management is to bring in a smart AI layer that can further improve efficiency at all levels. AIOps capabilities specialized for IT management are able to locate the most critical challenges in large information masses, dig into their root causes, and recommend the best course of action to fix them.