Rabbit Food

By Nathan Stacey

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... more

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FAQs about Rabbit Food:

How many episodes does Rabbit Food have?

The podcast currently has 10 episodes available.

Rabbit Food episodes:

August 23, 2024 The SOC Guru, Heidi Gerken, talking about why she bet her career on Elastic
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 security and network teams. They also highlight the value of bringing in large quantities of data and the role of AI in analyzing and correlating that data. They discuss the Elastic Common Schema and its impact on data normalization and correlation. Overall, they emphasize the open and agile nature of Elastic in meeting the evolving needs of SOCs.
Takeaways:
-SOCs have evolved from network operations centers (NOCs) and now require the integration of security and network teams.
-Bringing in large quantities of data and leveraging AI can provide a more comprehensive and holistic view of security incidents.
-The Elastic Common Schema enables data normalization and correlation across different log sources.
-Elastic's open and agile approach allows for customer-driven development and the ability to meet the evolving needs of SOCs.
Sound Bites:
"SOCs are transitioning and moving towards the new, and Elastic is part of that new."
"The goal is to bring in all the data to have a full picture and enable effective security operations."
"Elastic allows for a more efficient and effective SOC by providing an event rendered view and leveraging AI for analysis."
00:00 Heidi Gerken's Background in Security Operations Centers
03:00 The Transition from NOCs to SOCs
07:02 Challenges of Managing Large Data Sets in SOCs
13:07 The Role of AI and Machine Learning in SOC Efficiency
28:03 The Importance of Elastic Common Schema in SOC Operations
...more
38min
August 06, 2024 Satellite Cybersecurity with Paul Vout
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 emphasizes the need for a structured process and framework in OT cyber exercises to guide analysts and improve training. Overall, the exercise provided valuable insights into securing satellite systems and can inform the cybersecurity practices in other OT domains.
Watch the full video here:Youtube: https://youtu.be/hEAusX3nkHI
Keywords
SatCom, cyber exercise, satellite, directional control, energy consumption, OT cyber, supply chain, process, framework, training, elastic, elasticsearch, red team, blue team
Takeaways
SatCom cyber exercises provide valuable insights into securing satellite systems and can inform cybersecurity practices in other OT domains.
The directional control and energy consumption of satellites are critical areas to focus on in SatCom cyber exercises.
A structured process and framework are essential in OT cyber exercises to guide analysts and improve training.
Understanding the supply chain and the specific components of satellite systems is crucial for effective cybersecurity.
Elastic's ability to ingest and interpret multiple sources of data makes it a valuable tool in SatCom cyber exercises.
Sound Bites
"Directional control of a satellite is extremely important, as is the manipulation of power generation and consumption."
"Satellite cybersecurity requires a focus on specific satellite components and understanding the supply chain."
"A structured process and framework in OT cyber exercises can improve training and guide analysts."
Chapters
00:00 Introduction to the SatCom Cyber Exercise
03:49 The Importance of Directional Control and Energy Consumption
10:21 The Value of Focusing on SatCom Cybersecurity
18:22 Lessons Learned and Best Practices for OT Cyber Exercises
26:22 The Role of Elastic in Analyzing Satellite Telemetry Data
...more
33min
August 06, 2024Elastic Sizing and Performance Tuning Part 1 with Michael Young
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 Elastic cluster to optimize its performance.Where to see this video:

Youtube of this full video as well as the channel with the rest of our videoshttps://youtu.be/ND0mn6Xsu3E
Keywords
Elastic, sizing, distributed systems, data tiering, split brain, hot tier, warm tier, cold tier, frozen tier, performance, cost optimization, elasticsearch, tuning

Takeaways
Understanding the resources and requirements of an Elastic cluster is crucial for optimizing its performance.

Data tiering in Elastic allows for the efficient management of data based on its value and performance needs.

Split brain scenarios can occur in distributed systems and can lead to conflicts and inconsistencies in data.

Elastic offers different tiers (hot, warm, cold, and frozen) to accommodate different performance and cost requirements.

Proper sizing and configuration of an Elastic cluster can ensure efficient data management and high performance.

Quotes
"Enabling people to think about the things that matter with sizing so they could be more informed."

"A few tweaks here and there changes that cluster from ho-hum to crazy fast."

"Elastic can actually get down to single-digit millisecond response times."
Chapters
00:00 Introduction and Background
02:18 The Importance of Sizing
08:57 Overview of the Series
11:38 Data Tiering in Elastic
31:42 Understanding Split Brain Scenarios
...more
43min
July 09, 2024Walking through the github project for an air-gappable Elastic cluster in Docker Compose
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 walk through the installation process and highlight the different profiles and components involved. They also discuss future plans, including adding support for Podman, exploring different cluster architectures, and incorporating Elastic's Rally for benchmarking.

Takeaways
Scott and Frank have built a simplified and accessible way to set up the Elastic Stack using Docker

The project is aimed at providing an easy way to deploy Elastic for education, proof of concept, and air-gapped environments

They walk through the installation process and highlight the different profiles and components involved

Future plans include adding support for Podman, exploring different cluster architectures, and incorporating Elastic's Rally for benchmarking
Benchmarking Elastic Stack with Rally

Simplified Deployment of Elastic Stack with Docker
"A simplified and easy way to get the elastic stack set up"

"We chose the way that we think you could get started to educate yourself or to deploy it for a POC or to deploy it in an air gap environment, the simplest way"

"To get the whole solution installed on AirGap, it's a single product"
Chapters
00:00 Introduction and Project Overview
02:11 Motivation for Building the Solution
04:55 Elastic Package Repository and Elastic Artifact Repository
08:20 Future Iterations and Plans
19:44 Code Overview and Repository
27:03 Future Use Cases and Enhancements
...more
40min
June 25, 2024How to build an AI RAG in 8.14 Elastic with Eric Cobb
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 Elastic, as well as the new AI capabilities introduced in version 8.14.

Takeaways
Elastic is a data platform that can handle structured and unstructured data

Generative AI can be used to extract insights from unstructured text data

The demo showcased the analysis of news articles related to fentanyl arrests and visualizing the data on a map

Elastic is scalable and can handle large amounts of data with sub-second response time

Version 8.14 introduced new AI capabilities, including the ability to ask questions and receive answers from the data
Using AI to Extract Insights from Unstructured Data in Elastic

Analyzing Fentanyl Arrests with Elastic's Data Platform and AI

Quotes:
"We are a data platform, data is data to us. It doesn't matter if it's structured or unstructured."

"Elastic wanted to show that you can analyze any kind of data, not just security or telemetry based."

"Elastic has made it easy to get generative AI insights from your data, even without being a developer."

Chapters
00:00 Introduction and Background
01:17 Elastic's Efforts in the Government Sector
05:48 Demo: Enriching and Analyzing Data
12:57 Demo: AI Capabilities and Natural Language Questions
15:06 Demo: Geospatial Analysis and Visualization
23:39 Playground: Making AI Accessible to Non-Developers
28:05 Feedback and Future Improvements
...more
30min
June 20, 2024Training a SOC Team with Andrue McElhaney
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 concludes with a key takeaway: start with a project, build a team, and find your own path to success

Takeaways
Hands-on experience and practical learning are crucial in becoming an expert in technology.

When learning Elastic, start small and leverage free cloud trials to get hands-on experience with the platform.

Engage with the Elastic community through forums, meetups, and conferences to learn from others' experiences.

Building consistency and finding a training model that works for your organization is key to successful transition to Elastic.

Start with a project, build a team, and focus on continuous learning and improvement.
Learning Elastic: Starting Small and Leveraging the Community

Key Takeaways: Starting with a Project and Continuous Learning
"Hands-on experience with your stuff... It's great for that muscle memory."

"Start with the free cloud trials... See the functionality for yourself."

"Automation and orchestration... Spin things up quickly and tear them down

Titles
01:18 Andrue's Journey: From Video Games to Elastic Expert
10:16Training and Transitioning to Elastic
14:24The Role of DevOps in Technology Training and Deployment
21:56Utilizing the Elastic Community and Resources
26:23Andrue's Advice for Learning Elastic
...more
29min
June 13, 2024How ML has changed in Security and what it is about to do
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 the importance of training and experience in cybersecurity.Keywordschapters, endpoint security, machine learning, XDR, EDR, kernel, supply chain security, zero trust, US military, cybersecurity cultureTakeaways
The evolution of endpoint security and the challenges posed by advanced attacks

The role of machine learning in enhancing endpoint and extended detection and response (XDR) solutions
The complexities and challenges of implementing Zero Trust in a Windows environment and the need to define a clear framework for protection

The evolution of security culture in the US military and the emphasis on training and experience in cybersecurity

The depth of detail required to defend against advanced adversaries and the importance of understanding supply chain vulnerabilities
The Significance of the Kernel in Cybersecurity

Impact of Supply Chain Security on Cybersecurity Posture
"I always appreciate kind of the spy versus spy analogy because as soon as you come up with a good defense, attackers come up with another attack."

"I feel like there's a change happening in the security world from audit D type logging type security to XDR."

"The kernel is a key component for cybersecurity."
...more
4min
June 13, 2024Aircraft Data in Elastic
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 the quality and safety of the fuel. In manufacturing, Elastic can analyze data from the production process, identify efficiencies, and enable predictive analysis. Additionally, Elastic can be used to track and manage logistics in air transport, such as tracking food supplies and ensuring their safe delivery.

Takeaways
Elastic is used in the aviation industry to optimize fuel consumption and improve operational energy efficiency.

It can analyze data from aircraft engines and sensors to identify regional fuel usage patterns and suggest improvements.

Elastic helps monitor and secure the fuel supply chain, ensuring the quality and safety of the fuel.

In manufacturing, Elastic enables analysis of production data, identification of efficiencies, and predictive analysis.

It can track and manage logistics in air transport, such as tracking food supplies and ensuring their safe delivery.

Sound Bites
"Operational energy: Analyzing fuel consumption and energy resources in the Air Force."

"Fuel supply chain: Monitoring and securing the quality and safety of fuel."

"Manufacturing efficiency: Analyzing production data and enabling predictive analysis."

Chapters
00:00Fuel Efficiency and Operational Performance
09:34Unstructured Data and Elastic
22:52Cybersecurity in the Airplane World
28:18Logistics and Supply Chain Management

Keywords
elastic, aviation industry, operational energy, fuel efficiency, supply chain management, manufacturing, cybersecurity, fuel consumption, regional fuel usage, efficiency improvements, fuel supply chain, manufacturing process, predictive analysis, logistics, air transport, food supplies
...more
33min
June 10, 2024 The power of the kernel in Cyber Security
Audit logs vs Kernel data. Each are valuable, Paul Vout describes the reason that each are needed to assure cyber security
...more
5min
June 05, 2024LLMs need search
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 and determine relevance, but they lack the user's context. Elasticsearch as a vector database allows for additional context and combines multiple search modalities for better results.

Keywords:
LLMs, vector databases, search engine, information retrieval, context, semantic search, relevance,

ElasticsearchTakeaways
LLMs and vector databases need a search engine to perform optimally

Vectors provide predictions based on the most likely context within the vector space

LLMs allow for semantic search without exact terms

Vector databases lack the user's context, which affects relevance

Elasticsearch as a vector database allows for additional context and combines multiple search modalities
Understanding Context in Information Retrieval

The Power of Elasticsearch as a Vector Database
"LLMs and vectors databases and vector search and retrieval augmented generation, all the above, still need a search engine to perform to their optimal accuracy and efficiency."

"LLMs are trained on a large amount of content, so they understand the patterns of language usage."

"With Elasticsearch as your vector database, you can vectorize your content using third-party models and then bring to bear your additional context that LLMs don't have any knowledge of."

Chapters
00:00 The Role of Search Engines in Optimizing LLMs and Vector Databases
02:16 Limitations of Vector Databases and the Need for Additional Context
04:12 Elasticsearch: A Superior Vector Database with Multiple Search Modalities
...more
7min

FAQs about Rabbit Food:

How many episodes does Rabbit Food have?

The podcast currently has 10 episodes available.