Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series
Summary: Frames cloud observability as a data-management challenge: petabytes of heterogeneous time series need low-latency ingestion, indexing, and real-time query/analytics for rapid root‑cause triage. Shows current ad‑hoc monitoring stacks fail on performance, cost, and ops; calls for redesigned scalable data/software infrastructure. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Suman Karumuri
- 2. Franco Solleza
- 3. Stan Zdonik
- 4. Nesime Tatbul
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,281 | Mach: A Pluggable Metrics Storage Engine for the Age of Observability | 2022 | CIDR | 4.5392079e-05 |
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