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Cribl Stream users have been successfully setting up security data lakes alongside, instead of, and underneath their SIEM solutions. Regardless of their architecture, they all want to reduce their latency and cut their costs. Snowflake, a popular choice for security data lakes due to its scalability and ease of use, recently released a new streaming ingest capability that Cribl Stream is ready to unlock.

The TensorFlow framework, developed by Google, is one of the most important platforms for creating deep neural network research and for training machine learning algorithms. Generally, it runs on the server side using powerful GPUs, consuming power and a lot of memory.

This article, written by Shan Desai, was originally published on his blog and is reposted here with permission. Shan is a Software engineer currently employed at Emerson Discrete Automation and is an Open-Source Contributor / DIY Tech Enthusiast currently working with Industrial IoT. Telegraf is widely used as a metric aggregation tool thanks to the diverse number of plugins it provides that interface with a multitude of systems without having to write complex software logic.