Episode
#50 Making Better Sense of Observability Data
- Podcast
- Reliability Enablers
- Published
- Jul 9, 2024
- Duration seconds
- 1478
- Processing state
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Summary
Jack Neely is a DevOps observability architect at Palo Alto Networks and has a few interesting ways of extracting value from o11y data. We crammed into just under 25 minutes ideas like these 7 takeaways: * Reasserting the Need to Monitor Four Golden Signals : Focus on latency, traffic, errors, and saturation for effective system monitoring and management. * Prioritize Customer Health : in Jack’s words, the 5th golden signal. Go beyond traditional metrics to monitor the health of your customers for a more comprehensive view of your system's impact. * Apply Mathematical Techniques : Incorporate advanced mathematical concepts, like the Nyquist Shannon law and T Digest algorithm, to enhance data accuracy and observability metrics. * Build Accurate Percentiles : Implement techniques to accurately reproduce percentiles from raw data to ensure reliable performance metrics. * Manage High Cardinality Data : Develop strategies to handle high cardinality data without overwhelming your resources, ensuring you extract valuable insights. * Standardize Log Records : Use readily available frameworks to emit standardized log records makes data easier to process and visualize. * Handle High-Velocity Data Efficiently : Develop methods for collecting and processing high-velocity data without incurring prohibitive costs. Watch Jack’s Monitorama talk via this link: https://vimeo.com/843996971 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit read.srepath.com