Why Composable Platforms

 

Why Composable Platforms

 

Executive Summary

 

Rapid Changes

What 2020 taught us is that the “Usual” in “Business as Usual” is changing faster than most companies can adapt. The mix of IoT and analytics tools needed is changing faster and faster. IT professionals are finding it difficult to keep up with the range of tools they must work with and the complex interactions they must know about.

The implementation process leaves many opportunities for mistakes:

·       Requirements gathering

·       Product selection or product development

·       Testing

·       Security updates

·       Implementation

·       Bug fixes

 

The time needed for implementing or updating IoT and analytics platforms is complicated and takes too long. Inconsistent installations can leave companies exposed to inter tool security holes or even worse, tools precariously close to a performance cliff which occur only under heavy data processing loads.

Business as we know it is going through a massive series of changing landscapes. Employees working remotely, constantly changing security requirements, patients and doctors meeting virtually, stores moving to mainly online sales, factories being run from consolidation points with AI, drones taking video of power lines where a person in a truck had to physically monitor the lines previously, and companies moving to hybrid compute and storage environments. With 5G, the deluge of data, and the use of AI, these changes are rapidly changing how companies do business. IT must step up its game or risk being left behind.

You need answers more quickly to be able to react and adapt. These requirements can change instantaneously based on the data itself that is streaming into your platforms. This is where actively managed compute power and latency are essential. The cloud is not going away but we also need to process and store data closer to the edge. Real time decision making based on streaming data analysis can be done at the edge and longer-term retention and analysis can be managed in the cloud. In these environments you will need the ability to rapidly shift compute, communications, and storage to accomplish your business goals - which may be morphing continuously. This is why the industry is trying to move to third generation platforms with tight integration of multiple analytics and IoT tools to maximize the use of its disparate data sitting from the edge to the cloud.


More to come.....

For more information visit www.paladiandata.com

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