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Mach: A Pluggable Metrics Storage Engine for the Age of Observability

Summary: Mach: a pluggable, RocksDB-style metrics storage engine tailored to observability workloads; its lean, loosely-coordinated design exploits metrics semantics (append-heavy, high-cardinality, short retention) to optimize ingestion and query paths. Preliminary results: ~10× write and ~3× read throughput vs popular TSDBs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
440
Venue
CIDR
Year
2022
Pagerank
5.4119882e-05
Overall Rank
8,519 | 41.56%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{solleza_cidr22,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '22},
        title = {{Mach: A Pluggable Metrics Storage Engine for the Age of Observability}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Solleza, Franco and Crotty, Andrew and Karumuri, Suman and Tatbul, Nesime and Zdonik, Stan},
        year = {2022}
}

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