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Reliability Enablers
#41 Curbing High Observability Costs
May 14, 2024
Sofia Fosdick, a Senior Account Executive at Honeycomb.io with experience in observability, shares her expertise on managing observability costs. She delves into the challenges organizations face with rising costs and the often underutilized data. Sofia emphasizes aligning observability expenses with business value and advocates for transitioning from time-based to event-driven data strategies to optimize user experience. Her practical insights aim to help avoid astronomical bills while ensuring effective data management.
24:34
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Quick takeaways
- Dynamic sampling allows organizations to prioritize valuable data retention, optimizing observability costs while maintaining critical insights for decision-making.
- Aligning observability efforts with business objectives enhances data quality and user experience, promoting a cultural shift towards customer satisfaction.
Deep dives
Understanding Dynamic Sampling
Dynamic sampling involves making informed decisions about which events or traces to retain based on specific attributes within the data. This approach allows organizations to prioritize keeping data that hold critical insights, such as errors or high-value transactions, while filtering out less useful information. Instead of an arbitrary capture rate, teams align their data collection strategy to their operational needs, ensuring they maintain the quality of their observability data. This careful curation not only optimizes resource use but also helps to manage and ultimately reduce the costs associated with observability.
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