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Overview
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Explore how to implement AI-powered observability solutions using Splunk's platform in this 14-minute conference talk from Conf42 SRE 2025. Learn about the evolution from reactive monitoring to proactive observability and understand the strategic importance of comprehensive system visibility. Discover Splunk's observability platform architecture, including data collection mechanisms and technical implementation details. Examine how artificial intelligence and machine learning enhance observability capabilities for predictive insights and automated responses. Analyze a real-world case study demonstrating e-commerce system performance during peak traffic scenarios. Master the process of building autonomous remediation workflows that can automatically respond to system issues. Follow a structured implementation framework for deploying AI-powered observability solutions in your organization, complete with practical next steps for getting started with modern observability practices.
Syllabus
00:00 Introduction and Overview
00:49 The Observability Challenge
01:39 Evolution of Observability
02:42 Strategic Importance of Observability
03:53 Splunk's Observability Platform
06:03 Technical Architecture and Data Collection
07:25 AI and Machine Learning in Observability
09:34 Case Study: E-commerce During Peak Traffic
10:30 Building Autonomous Remediation Workflows
11:25 Implementation Framework
12:16 Next Steps and Conclusion
Taught by
Conf42