Axiom × Hapn
Axiom x Hapn: From sampling disasters to a petabyte of logs at lower cost
Petabyte of events stored and queryable at less cost than logging only errors with the previous vendor
Unpredictable, runaway log costs to committed, predictable infrastructure spend
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Why it works
The case study earns credibility by naming the exact failure mode of the previous vendor (rehydration billed as re-ingestion) and explaining precisely why sampling was technically impossible for Hapn's use case, not just inconvenient. The mechanism is clear: Axiom's Lambda extension plus APL virtual fields replaces a multi-vendor Frankenstein of CloudWatch, a log vendor, and Athena. The finance-team quote closes the loop on the emotional shift from cost chaos to budget predictability.
Steal this
Name the competitor's pricing trick by its exact mechanism (rehydration equals re-ingestion charge) so readers immediately recognise the pain and trust the alternative being presented.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Axiom's published work; we link to the source and lead with our analysis.