Three Benefits of predictive Analytics Technology

CIO Applications| Monday, June 21, 2021

IT leaders want to know how an application performs throughout the whole IT ecosystem, which could involve comparing historical performance across several clouds to predict and mitigate vulnerabilities in one service over another.

FREMONT, CA: Predictive analytics tools have become crucial to compete in manufacturing, banking, and e-commerce, as well as for horizontal use cases like cybersecurity breach protection and sales forecasting. Using data to predict and avoid IT breakdowns and issues are also becoming more common, thanks to advancements in monitoring tools that have made it easier to give insights quickly.

IT specialists may now collect and integrate data, normalize it, and analyze it in real-time using current IT operations monitoring and management solutions. As a result, predictive analytics in IT is becoming significantly more user-friendly, economical, and valuable for all businesses, not just the largest ones with the highest expenditures. Here are three benefits of predictive analytics technology:

Cloud-to-cloud performance comparison.

The capacity to make correlations and illustrate relationships between various data pieces is crucial in predictive analytics. IT leaders want to know how an application performs throughout the whole IT ecosystem, which could involve comparing historical performance across several clouds to predict and mitigate vulnerabilities in one service over another. The predictive analysis could also help businesses decide which cloud provider to use for specific apps and workloads.

Container optimization.

When it comes to controlling performance in a microservices environment, making correlations is extremely useful. Collecting metrics for a containerized application isn't beneficial in and of itself; it's valuable when looking across the container environment to determine if any common metrics are dangerously heading in the wrong direction across many or all containers.

Storage usage.

When IT discovers that the pricey storage array is out, it is not a cheerful situation. Knowing after the fact that storage volumes were progressively growing out of the regular trend isn't enough. When IT is aware that a trend is veering outside of permissible bounds, it can investigate the source and correct it before any damage is done. Slow connections if network bandwidth is insufficient or security breaches, if the cloud provider's security methods are insufficient for your use case, are all dangers associated with cloud storage. Predictive analytics can warn you of these risks in time for you to take action.