_monitorama-bal-2019-liz-fong-jones-coalescing-systems-data-without-losing-fidelity.jpg "Monitorama BAL 2019 - Liz Fong-Jones - Coalescing systems data without losing fidelity from bal save Video Screenshot Preview")
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⏲ Duration: 17 min 60 sec
✓ Published: 30-Oct-2019
✓ Published: 30-Oct-2019
Description:
It is not feasible to run an observability infrastructure that is the same size as your production infrastructure. Past a certain scale, the cost to collect, process, and save every log entry, every event, and every trace that your systems generate dramatically outweighs the benefits. If your SLO is 99.95%, then you'll be naively collecting 2,000 times as much data about requests that satisfied your SLI than those that burnt error budget. The question is, how to scale back the flood of data with
It is not feasible to run an observability infrastructure that is the same size as your production infrastructure. Past a certain scale, the cost to collect, process, and save every log entry, every event, and every trace that your systems generate dramatically outweighs the benefits. If your SLO is 99.95%, then you'll be naively collecting 2,000 times as much data about requests that satisfied your SLI than those that burnt error budget. The question is, how to scale back the flood of data with
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