Storage Analytics | Predictive Analytics | Tintri

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Real-time and predictive analytics for storage and compute

Tintri Analytics

Tintri Analytics helps you make the right decision. With cloud-based predictive analytics powered by Elasticsearch, you can get visibility into every application right now, so you can troubleshoot in seconds. Plus, machine learning algorithms model every storage and compute need for up to 18 months into the future, based on your applications’ behavior.

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Predictive Analytics for Improved Resource Planning Cover

Put real-time and predictive analytics at your fingertips, so you never have to guess again. Dig into analytics with this guide.

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Solve a latency problem in seconds

What happens if an end user's application is running slowly? Easy: just open the Tintri storage analytics UI, scroll over the application, and see the source of latency across host, network and storage. Problem solved.

Troubleshoot Infrastructure

Model your resource needs

Deploying a workload or two? Powered by Elasticsearch, Apache Spark and Amazon Machine Learning, Tintri Analytics leverages your historical metadata to predict your capacity, performance, working set and compute. Provision exactly what you need, only when you need it.

Analytics Trends

What-if application planning

Your DevOps team has asked to add another 10 SQL servers to your Tintri footprint. Can you accommodate? Tintri storage analytics can break down the behavior of SQL servers already residing on your arrays, then help you complete what-if analysis on this request, so you can provide a precise yes / no answer.

Analytics Capacity Planning

Recommended Resources

Tintri Analytics picks up where other storage leaves off. Competing solutions strive to provide meaningful data at the application level, but to do that they have to use averages and correlations. Tintri is architected at the application level, so we don’t need any mathematical manipulation—we simply provide the exact data you need to make better decisions.