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The platform

One agentic layer over every signal you already collect.

Obxerv sits on top of your existing telemetry — no rip-and-replace — and adds the detect → diagnose → heal loop. It correlates your metrics, logs, traces, and events into one live model, reasons out the root cause, and executes the fix within the guardrails you set.

01 · Ingest

Your telemetry

Metrics, logs, traces, and events stream in through OpenTelemetry, Prometheus, cloud metrics, and the agents you already run — no new instrumentation to write.

02 · Correlate

Live service model

Every signal is stitched into one correlated model of your services, with a learned per-service baseline for what "normal" looks like.

03 · Agent engine

Detect · diagnose · remediate

Agents reason over the evidence — the trace, the log line, the deploy — to detect anomalies, rank the root cause, and pick the right remediation.

04 · Act

Guardrailed actions

Obxerv executes the fix inside your policy — autonomously for low-risk classes, with one-click approval for anything higher-blast-radius.

The whole loop runs on the signals you already emit — no rip-and-replace, no agent rewrite, no data migration.

Unified signal ingestion

Four signal types, one correlated model.

Obxerv ingests the four pillars of observability and ties them together — so a symptom in one is traceable to its cause in the others, not stranded in a separate tool.

Metrics

Time-series for latency, error rate, saturation, and throughput — with learned baselines instead of static thresholds that flap.

Logs

Structured and raw log streams indexed and correlated to the services and traces that emitted them, so the offending line surfaces itself.

Traces

Distributed traces map every request across services, exposing the hop where latency or errors actually originate.

Events

Deploys, config changes, scaling actions, and alerts land on the same timeline — so a spike ties straight to the change that caused it.

Sources include OpenTelemetry, Prometheus, cloud provider metrics, and your existing agents.

The correlation engine

From four raw feeds to one answer.

Ingestion is table stakes. The engine is what turns disconnected signals into a single explanation of what broke, why, and what changed right before it did.

Live service topology

Obxerv derives the real dependency graph from your traces and keeps it current, so the blast radius of any failure is known automatically.

Per-service anomaly baselining

Each service learns its own normal across time-of-day and traffic, so a deviation is flagged on behavior — not a brittle fixed threshold.

Cross-signal correlation

The engine ties a symptom to its cause and to the deploy that introduced it — one correlated verdict instead of four tabs to reconcile by hand.

Auto-remediation action catalog

The fixes Obxerv can actually run.

Detection that can't act is just another dashboard. Obxerv ships a catalog of real remediations agents execute under your guardrails — each one scoped, logged, and reversible.

Roll back deploy

Revert to the last known-good version when a release is the cause.

Restart / recycle

Cycle a hung or leaking pod or process to restore healthy state.

Scale out / in

Add or remove capacity to meet demand and protect headroom.

Drain node

Move workloads off an unhealthy node before it drags latency down.

Failover

Shift traffic to a healthy replica, region, or standby instance.

Cordon & reschedule

Fence off a bad node and reschedule its pods onto healthy capacity.

Config fix

Correct a drifted or bad configuration back to the intended state.

Renew certificate

Rotate an expiring TLS certificate before it triggers an outage.

Clear / drain queue

Relieve a backed-up queue or buffer before it cascades downstream.

Throttle traffic

Rate-limit or shed load to protect a service while it recovers.

Guardrails & approvals

You decide what runs unattended.

Autonomy is a policy you own, not a switch we flip. Obxerv acts only within the boundaries you set — per service, per action, with a full trail and a way back.

Autonomy tiers

Set Auto, Approve, or Notify-only per service and per action — routine restarts run themselves; a production rollback waits for sign-off.

Blast-radius scoping

Cap what any single action can touch — one node, one service, one region — so an automated fix can never exceed the boundary you drew.

Audit trail & reversibility

Every decision and action is logged with its evidence, and each remediation carries a one-click undo — nothing happens off the record.

Works with your stack

Integrates with what you run today.

Obxerv connects to your existing telemetry sources, orchestrators, clouds, and on-call tooling — you keep your stack and add the agentic loop on top of it.

OpenTelemetry
Prometheus
Grafana
Kubernetes
AWS
GCP
Azure
PagerDuty
Slack
GitHub
GitLab
Terraform
Datadog ingest
Webhooks

Integrates with what you run today — connect a source in minutes, no re-instrumentation required.

Security & governance

Autonomy you can put in front of an auditor.

Agents that can change production have to be governed like it. Access is controlled, every action is accountable, and nothing Obxerv does is one-way.

RBAC & SSO

Role-based access with SSO — who can change autonomy policy, approve an action, or run a remediation is controlled and provisioned centrally.

Scoped, auditable actions

Every agent action is scoped to a permission and written to an immutable audit log with the evidence that justified it — reviewable after the fact.

Reversible by design

Remediations are built to be undone. If an action doesn't restore the signals, Obxerv can roll it back as cleanly as it rolled it out.

See the platform close a live incident.

Watch Obxerv ingest your signals, correlate an anomaly to its root cause, and auto-heal the service in real time — inside the guardrails you'd set.