TelemetryOps is the observability foundation of Ops Singularity. It collects OpenTelemetry signals from every service and stack, unifies logs, metrics and traces in one store built for petabyte scale, and lets any team build the dashboards and queries they need, then hands clean, correlated telemetry to Sentinel AI.
Most teams run observability across a pile of disconnected agents, formats and tools, and pay to keep data they cannot correlate. TelemetryOps unifies it on open standards: OpenTelemetry-native collectors gather logs, metrics and traces from most languages and stacks, a store built for petabyte scale keeps them queryable instead of sampled away, and a dashboard builder turns any signal into a view. The result is clean, correlated telemetry that people can explore and that Sentinel AI can reason over.
TelemetryOps speaks OpenTelemetry end to end. Collectors and auto-instrumentation cover most languages and runtimes, and anything that emits OTLP is a first-class source, so you are not rewriting instrumentation to fit a vendor agent. Because it is OTel-native, the semantics travel with the data: resources, services and attributes stay intact from the SDK all the way to the query.
Logs, metrics and traces land in one place and stay linked by the resources that produced them. A slow trace opens straight to the metrics around it and the exact logs its spans emitted, so an investigation is one path instead of three tools and a guess. Resources, whether a service, pod, container or cloud zone, sit at the centre, so context follows you as you pivot.
TelemetryOps is built for petabyte-scale telemetry, so high-cardinality data stays queryable rather than sampled down to fit a budget. Query in the language you know, PromQL for metrics and SQL for logs and traces, and get results fast enough to explore, not just to alert. Retention and tiering are yours to set, so cost tracks value instead of surprising you.
Turn any query into a panel and any set of panels into a dashboard, without waiting on a specialist. Build service views, team views and executive views over the same telemetry, and share them across the estate. Open dashboard standards mean the boards you build travel with you and are not trapped in one vendor's format.
High-cardinality exploration lets you slice telemetry by any attribute after the fact, so you can chase an outlier you never predicted. Drill from a dashboard anomaly into the traces behind it, then the logs those spans emitted, and group by resource, endpoint or tenant to find where the pressure really sits. The workflow is built for the unknown-unknowns, not just the metrics you already chart.
TelemetryOps is built on open standards, OpenTelemetry for data and open formats for storage and dashboards, so nothing is trapped in a proprietary silo. It runs inside your perimeter, on-prem or air-gapped, and the same governance that covers the rest of Ops Singularity applies here: role-based access, data curation before any model, and full audit. That is what lets Sentinel AI reason over the telemetry safely.
Collecting telemetry is only half the job. The unified logs, metrics and traces that TelemetryOps gathers feed Sentinel AI, the intelligence component at the core of Ops Singularity. Sentinel runs the OIAO loop over that telemetry, correlates signals into incidents, finds root cause across the estate graph, and resolves through governed, reversible Action Tickets.
Sherlock closes the root-cause loop and ProcBot executes the fix, every step explained with citations and fully audited.
Book a walkthrough and see OpenTelemetry-native collection, unified logs, metrics and traces at petabyte scale, and dashboards built over your own signals.