Rabbit Food

Rabbit Food

Hosted by Nathan Stacey. This page features videos from a bunch of Elasticsearch experts talking Elasticsearch and all of the IT tech surrounding it. If you like the videos on this page, like the page and help us promote the content! #elastic #elasticsearch #kibana #elk

Episodes

August 22, 2024 37 mins

Heidi has seen many Security Operations Centers (SOC) over her career. She has seen many SIEM tools and many SOC cultures. She describes why she chose Elastic and sees the future in Elastic. 

Nathan Stacey and Heidi discuss the evolution of security operations centers (SOCs) and the role of Elastic in modernizing the SOC. They talk about the transition from network operations centers (NOCs) to SOCs and the importance of integrating...

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Paul Vout discusses his experience participating in a SatCom cyber exercise focused on satellite-based cyber threats and techniques. The exercise aimed to simulate attacks on a real satellite called Moonlighter, with a focus on directional control and energy consumption. Paul highlights the importance of precise coordination of cameras and solar panels on satellites and the potential vulnerabilities in these areas. He also emphasiz...

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  • Nathan Stacey interviews Michael Young about sizing in Elastic. They discuss the concept of distributed systems, the value of data tiering, and the challenges of split brain scenarios. They also touch on the different tiers in Elastic (hot, warm, cold, and frozen) and how they impact performance and cost. 
  • The conversation provides insights into the importance of understanding the resources and requirements of an ...
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    Github Project:

    https://github.com/Xzeryn/Elastic-Stack-Docker


    Summary

    Nathan Stacey, Scott Karter and Frank Gutierrez discuss their project of building a simplified and easy way to set up the Elastic Stack using Docker Compose. They explain the motivation behind creating this project, which is to provide a simple and accessible way for users to deploy Elastic for education, proof of concept, and air-gapped environments. They ...

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    Nathan Stacey and Eric Cobb discuss a demo showcasing the use of AI in Elastic. Eric explains how Elastic is a data platform that can handle structured and unstructured data, and demonstrates how they can extract insights from unstructured text data using generative AI. The demo focuses on analyzing news articles related to fentanyl arrests and visualizing the data on a map. Nathan also highlights the scalability and speed of Elast...

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    Summary

    In this conversation, Andrue McElhaney, a Senior Solution Architect at Elastic, discusses his journey in technology and his passion for training. He emphasizes the importance of hands-on experience and practical learning in becoming an expert. He also shares insights on learning Elastic and transitioning to the platform, highlighting the value of starting small, leveraging the community, and finding consistency. Andrue conc...

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    Summary

    The conversation covers topics related to creating chapters, endpoint security, machine learning, XDR, EDR, kernel, supply chain security, and zero trust in Windows environment. The discussion also delves into the evolution of security culture in the US military and the challenges faced in implementing Zero Trust. The conversation provides insights into the depth of detail required to defend against advanced adversaries and...

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    June 13, 2024 32 mins

    Elastic plays a crucial role in the aviation industry, particularly in areas such as operational energy, fuel efficiency, supply chain management, manufacturing, and cybersecurity. By analyzing data from aircraft engines and sensors, Elastic can help optimize fuel consumption, identify regional fuel usage patterns, and suggest improvements in efficiency. It can also assist in monitoring and securing the fuel supply chain, ensuring ...

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    Audit logs vs Kernel data. Each are valuable, Paul Vout describes the reason that each are needed to assure cyber security

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    June 4, 2024 6 mins

    Summary

    LLMs and vector databases are powerful tools in information retrieval, but they still need a search engine to perform optimally. Vectors provide predictions based on the most likely context within the vector space, but without additional context, the interpretation can be difficult. LLMs understand language patterns and allow for semantic search without exact terms. Vector databases use coordinates to find content matches a...

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