Powering cloud modernization w/log observability in context & at scale
summary
Claim: Dynatrace stores metrics, traces, and logs together in a SaaS Grail data lake house that admits schema‑on‑read and avoids rehydration or prebuilt indexes. Tools shown: a single agent that auto‑enriches logs and topology, a DQL query language for parsing and aggregating logs (parse JSON, convert fields to integers, sum by product), session replay and a Davis AI causation engine that surfaces root cause. Capacity demoed: multi‑terabyte ingest (10 TB/day per tenant planned) and multi‑year retention.
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chapters (15)
- 0:00Intro
- 0:32WellArchitected Framework
- 2:53Observing observability
- 3:32Volume of data
- 4:22Data Trace
- 5:55Dana Trace Booth
- 6:21Tagging
- 6:51Demo
- 12:40Logs
- 13:34Grail
- 15:40Grail demo
- 17:27Operational Excellence demo
- 24:01Analysis demo
- 28:30Key takeaways
- 30:24Closing
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