AI Enabled Observability Explainers - We Actually Did Something With AI!

Overview

Join us as we unfold the groundbreaking work of eBay's Observability team, showcasing how they seamlessly blend algorithms with large language models (LLMs) to develop AI "Explainers." This session will delve into enhancing the interpretation of telemetry signals, moving beyond the conventional uses of LLMs to bring about a more robust analysis of traces, metrics, and logs.

This exclusive presentation is hosted on YouTube, where you'll gain insights into the innovative methodologies employed by eBay to refine observability solutions. Ideal for those interested in artificial intelligence and computer science, this course reveals the potential of AI in transforming data signal analysis.

Don't miss the opportunity to broaden your understanding of AI's capabilities in observability.

Tune in to learn from the pioneers of AI Explainers in the industry and see the tangible advancements they've achieved in this field.

Syllabus

• Introduction to AI in Observability
Overview of Observability Tools and Techniques
Role of AI in Enhancing Observability
• Fundamentals of Telemetry Signals
Understanding Traces, Metrics, and Logs
Challenges in Interpreting Telemetry Data
• Algorithms to Enhance Observability
Common Algorithms for Data Interpretation
Predictive Algorithms and Their Applications
• Large Language Models (LLMs) and Observability
Basics of LLMs
Integration of LLMs with Observability Tools
• AI Explainability in Telemetry
Need for Explainability in Observability
Designing Explainable Models for Traces, Metrics, and Logs
• eBay's AI-Driven Observability Solutions
Case Studies and Real-World Applications
Scalability and Efficiency of AI Solutions
• Building Predictable AI Explainers
Steps for Developing AI Explainers
Techniques for Testing and Validating AI Models
• Enhancing Interpretation Beyond Basic LLM Implementations
Limitations of Basic LLM Applications
Advanced Strategies for Comprehensive Data Insights
• Future of AI in Observability
Trends and Emerging Technologies
Preparing for the Next Generation of Observability Tools
• Conclusion
Key Takeaways
Best Practices for AI-Enhanced Observability

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Subjects

Computer Science