DataOps monitors every kind of data pipeline, batch, streaming and on-demand, in one place. Inbuilt with DataByte, it tracks execution health, forecasts capacity, recommends optimizations and enforces SLAs, rules and lineage, then hands the picture to Sentinel AI to act.
Data teams run batch jobs, streaming flows and on-demand workloads across many engines, and lose sight of what is healthy, what is late, and what is costing too much. DataOps monitors all of them in one place, from ingestion onward, with unified execution health, capacity forecasting, AI-powered optimization and SMART governance for SLAs, rules and lineage.
Inbuilt with DataByte. DataOps runs natively on the DataByte data platform, so pipeline monitoring, lineage and connectivity come built in, not bolted on.
DataOps includes big-data-scale ingestion from diverse sources. Build ingestion flows with a guided wizard, deploy them through an approval-governed process, and keep targets continuously in sync with Change Data Capture, log-based, query-based and trigger-based, replicating inserts, updates and deletes in real time.
See every pipeline type in a single operational view: what is running, what succeeded, what failed, what is delayed, and where alerts are firing. An execution-distribution view maps runs across queues so operational and core-processing workloads stay clearly separated and easy to reason about.
Track compute, memory and throughput across your pipeline infrastructure in real time, and use ML-powered forecasting to see where demand is heading. Plan capacity on evidence, catch anomalies early, and avoid the queue pressure that turns into missed SLAs.
DataOps studies how your pipelines actually run and suggests specific, ranked improvements: reclaim under-used resources, tune memory, optimize slow queries, and fix the patterns that quietly burn compute. Track generated versus implemented recommendations so savings are visible, not theoretical.
SMART is DataOps' governance framework across the whole pipeline lifecycle: SLA enforcement, Monitoring of every state transition, automated Actions, business and regulatory Rules, and end-to-end Traceability. Pipelines run reliably, respond to issues on their own, and stay audit-ready.
Explore running and completed executions across all workloads, and see how compute and memory are distributed across queues. Spot capacity pressure, idle queues and resource imbalance at a glance, and open any flow or deployment to follow it end to end.
DataOps does more than show a late pipeline or a starved queue. Every signal, execution health, capacity, recommendations and SMART governance, feeds Sentinel AI, the intelligence component at the core of Ops Singularity, which resolves issues through governed, reversible Action Tickets.
Retry a failed run, reallocate a queue, apply an optimization, every step explained with citations and fully audited, on data that flows through DataByte.
Book a walkthrough and see unified pipeline health, capacity forecasting, AI optimization and SMART governance on data that looks like yours.