Ops_dataset: Operational Resilience Metrics for System Performance
by Ramakrishnan , Pushpa / Harvard Dataverse·Updated 2mo ago
Available on 1 platform
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Description
Operational resilience sample data includes metrics such as median latency, p99 latency, retries, successful transactions, and cutoff breaches. The dataset was authored by Ramakrishnan and Pushpa and is hosted on the Harvard Dataverse platform, with a last recorded update in April 2026. Specific row counts and file formats are not provided in the available metadata.
Use Cases
Modeling system failure rates based on failed transaction rate and MTTR (Mean Time To Repair) minutes.
Predicting service quality degradation based on median latency and p99 latency metrics.
Analyzing operational efficiency based on successful transactions, retries, and cutoff breaches.
Assessing financial system health based on intraday liquidity score, ledger score, and spend alignment score.
Strengths
Includes a specific set of 12 operational metrics, such as p99 latency and intraday liquidity score.
Authored by named individuals (Ramakrishnan, Pushpa) and hosted on the authoritative Harvard Dataverse platform.
Has a precise last updated timestamp of 2026-04 20 14:44:23.
Limitations
Row count, file formats, and column-level documentation are unknown, which limits suitability assessment.
Description metadata is limited; actual data quality and completeness require manual inspection after download.
Provenance
Source
Harvard Dataverse
Collection Method
Sample data for operational resilience; specific collection method is not described.
Time Range
null
Freshness
Last updated 2026-04-20 14:44:23; freshness should be verified.
Geography
null
License information is unknown; users should verify terms before use.