How do you feel about benchmarking your systems against a few hundred thousand others in real time? Thanks to machine learning, this is now possible. Since data storage systems supply telemetry data, they can actually be evaluated using artificial intelligence (AI).
NetApp’s Active IQ® cloud service allows hybrid systems to benefit from swarm intelligence. Therefore, you get a chance to learn from the best – automatically and in real time.
Take, for example, motor racing as a test environment under extreme conditions. Enormous amounts of data about the condition of the engine and vehicle are transmitted in split seconds to a central system where they’re analyzed immediately.
This is pretty much what NetApp has been doing with its customer base since 1995 – at a time when the term big data was rarely used. Today, more than 300,000 data management systems provide telemetry data in the form of logs and system performance information. In practice, this means 200 billion data points come together every day, which amounts to approximately 200TB per month. This entire multi-petabyte data lake is ideal for calibrating machine learning models.
Marc Ender heads the Solutions Engineering Team and is responsible for the Cloud Solution Business at NetApp Switzerland. Since 2004 he has worked for major customers across all industries, advising them on data management and future-oriented hybrid cloud solutions. Marc is also a dedicated handball player, applying the motto ‘together to the goal’ in both sport and to business challenges.