Ops_dataset: Operational Resilience Metrics for System Performance

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