Observability that doesn't just page you — it heals the incident.
Obxerv unifies your metrics, logs, traces, and events, then puts agents on top of them. It detects anomalies, correlates the signals, pinpoints root cause, and executes the fix — automatically, within the guardrails you set. Monitoring told you what broke. Obxerv makes it stop breaking.
Dashboards tell you it's on fire. Then they stop helping.
Observability 1.0 gave you charts. 2.0 gave you more charts and a bigger bill. Neither one shortens the 3am scramble between the alert and the fix — a human still does all the work.
Alerts, not answers
A page fires and hands you a symptom. You still have to hunt across metrics, logs, and traces to find what actually broke — while the clock runs.
Alert fatigue is the norm
Thresholds flap, noise drowns signal, and the alert that matters gets lost in the ones that don't. On-call burns out reading dashboards.
Detection ≠ remediation
Even a perfect dashboard doesn't restart the pod, roll back the deploy, or drain the bad node. The tool watches; a human still has to act.
Every minute between alert and fix has a price.
The gap isn't visibility — it's action. Here's the difference an agentic layer makes on top of the signals you already collect.
A human does all the work
- An alert fires; a human starts the investigation from scratch
- Root cause is a manual hunt across four disconnected tools
- MTTR measured in hours; the fix waits on who's awake
- Recurring incidents recur — nothing learns from the last one
- On-call burns out; the postmortem backlog grows
Agents close the loop
- Agents detect, correlate, and diagnose before you're even paged
- One correlated view — the root cause arrives with the alert
- Known failures auto-heal in minutes, under your guardrails
- Every incident teaches the next remediation to be faster
- On-call is paged only for the calls a human should make
Connect your signals. Agents do the rest.
An agentic loop sits on top of the telemetry you already emit — closing the gap between "something's wrong" and "it's fixed."
Unified signals
Point Obxerv at your metrics, logs, traces, and events — OpenTelemetry, Prometheus, and your existing agents. It correlates them into one live model of every service, no rip-and-replace.
Agentic RCA
When signals go anomalous, agents correlate across telemetry and recent deploys, reason over the evidence, and produce a ranked root cause — with the trace, the log line, and the change that caused it.
Under guardrails
Obxerv runs the remediation — restart, roll back, scale, drain, failover — inside the guardrails you define. Low-risk fixes execute autonomously; high-blast-radius ones wait for your one-click approval.
Everything a self-healing observability stack needs — built in.
Unified signals
Metrics, logs, traces, and events correlated into one model — no more stitching four tools together by hand.
Agentic root-cause
Agents reason over the evidence to pinpoint the failing component, the offending change, and the blast radius.
Auto-remediation
Restart, roll back, scale, drain, or failover automatically — closing incidents instead of just reporting them.
Adaptive alerting
Anomaly detection that learns normal per-service, cuts flapping thresholds, and pages only on what matters.
Guardrails & approvals
You set what agents may do unattended and what needs sign-off. Every action is scoped, gated, and reversible.
Learns every incident
Each resolved incident becomes a faster runbook next time — remediations compound instead of resetting.
The incidents Obxerv closes on its own.
Bad deploy rollback
A release spikes errors; Obxerv ties the anomaly to the change and rolls back the offending version before it spreads.
Resource saturation
Memory or CPU creeps toward the ceiling; agents scale out or recycle the hot instance ahead of the outage.
Cascading failures
One dependency degrades; Obxerv traces the blast radius, isolates it, and fails over before it takes the fleet down.
Noisy-neighbor & nodes
A sick node or hot tenant drags latency; Obxerv drains and reschedules the workload automatically.
Config & cert expiry
A drifted config or an expiring certificate is caught and remediated before it becomes a 2am page.
SLO burn defense
Error budgets burning fast trigger the right guardrailed action to protect the SLO — not just a notification.
A closed agentic loop — not another dashboard.
Obxerv runs the same loop a great SRE runs, continuously and in seconds: observe, understand, act, and learn — with your guardrails on the "act."
The questions SRE and platform teams ask first.
What is "Observability 3.0"?
1.0 was dashboards and metrics; 2.0 added logs and traces at scale (and a large bill). 3.0 puts AI agents on top of that telemetry so the platform doesn't just show you what's wrong — it correlates the signals, reasons out the root cause, and takes the remediating action. Obxerv is observability that closes the loop.
How does auto-healing stay safe?
You define guardrails: which actions agents may take unattended, on which services, within what blast radius. Low-risk, well-understood fixes execute autonomously; anything higher-impact pauses for your one-click approval. Every action is scoped, logged, verified against the signals afterward, and reversible.
Do I have to replace my current stack?
No. Obxerv sits on top of the telemetry you already emit — OpenTelemetry, Prometheus, and common agents — and correlates it. You keep your instrumentation; Obxerv adds the agentic detect-diagnose-heal layer above it.
How is this different from AIOps alerting?
Most "AIOps" stops at smarter alerts and anomaly scores — it still hands a human the investigation and the fix. Obxerv's difference is action: agentic root-cause analysis plus guardrailed remediation that actually resolves the incident, then verifies recovery and learns from it.
What can it actually remediate?
Common closable classes: bad-deploy rollbacks, resource saturation (scale/recycle), dependency failover, draining sick nodes, and drifted config or expiring certs. It grows as it learns your environment — each resolved incident banks a faster runbook.
Can I run it standalone?
Yes. Obxerv works on its own and is stronger alongside Systaumate, Testaumate, and WebRobot in the Sysculus suite, sharing the same agentic orchestrator, data model, and dashboard.
Stop watching incidents. Start closing them.
See Obxerv detect a live anomaly, trace it to root cause, and auto-heal the service in real time — inside the guardrails you'd set.