Most days it saves an hour. Some days it saves the night.
Give an agent eyes on production — logs, metrics, health, and config across the whole
fleet — and it earns its keep every day. And when something does break, the
same loop holds — investigate through declared actions, stop the bleed behind one approval,
land the durable fix.
Every day
The work that never makes a post-mortem.
The boring wins compound. These are representative of an ordinary Tuesday.
Pre-flight
Pre-migration go / no-go
Before you cut prod to the new cluster, you ask: is the target ready? The agent checks disk and memory headroom, confirms the replicas are caught up, validates every TLS cert, and diffs the configs against prod across every node, then hands back a go/no-go in a minute. The migration that doesn't roll back at 2 a.m. is the one nobody remembers.
Investigate
"Why is checkout slow?"
You ask in plain English. The agent correlates nginx access logs, Prometheus p99, the database's lock and slow-query state, and the upstream's health across services, then narrows it to a wedged connection pool. Minutes, not an hour of greps and tails across six SSH sessions.
Self-debug
It debugs what it shipped
Your coding agent deploys and error rates tick up. Instead of waiting for a human to gather context, it reads its own deploy's logs and metrics, spots the env var it got wrong, and opens the fix as a reviewed PR — no round-trip just to find out what happened.
Sweep
Cert expiry, before the pager
"Which certs expire in the next 30 days?" The agent walks every host and ingress, checks expiry, and hands you the three about to lapse, days remaining and all, before an outage finds them for you.
Triage
First response
The page fires. The agent triages first — the failing service's logs, the last three deploys, the resource pressure, the dependency that's actually down — so you wake to a diagnosis and a remediation waiting on your approval, not a blank alert and a cold terminal.
Capacity
Ready for the launch?
Before the campaign goes live, you ask whether the fleet can take it. The agent reports current headroom, connection-pool limits, and the slowest dependency across every service — so you scale the one thing that matters instead of over-provisioning everything.
When it counts
And the nights it earns its keep.
Real incidents and battle stories, worked end to end. Read them
in full, command output and all.
A field report written by the LLM that authored the platform and performed much of the live analysis, with human decisions and corrections kept separate. It stress-tested and tuned the new cluster, then helped move 12 application jobs across 14 keyspaces.
≈6.3 TiB dataset
14 keyspaces repaired
12 app jobs cut over
A democratic-csi driver ran mkfs over a live Pure LUN on a dm-multipath path-group race — 33 hours of VictoriaMetrics data gone. The agent investigated through declared actions, stopped the writes behind one approval, then landed the durable fix as reviewable infra: a guard that refuses to trust the driver. The twist is that the obvious one-line setting was a no-op.
33h metrics lost
6-second zero-path window
mkfs.guard fix
Every app behind one anycast edge threw intermittent 502 Connection refused — yet every backend was green. The agent traced it across five layers (FRR, Traefik, Nomad, Consul) to a Traefik OOM loop plus a wedged node still advertising a dead ingress, replaced the OOM-looping allocs behind one approval, and named the fix that collapses the blast radius: health-gate the anycast.
~40% of connects refused
Exit 137 OOM at 1 GiB
one node, dead ingress
emisar doesn't claim to prevent the failure — it changes everything a human or an agent
does around
it: a finite catalog instead of a shell, one
approval instead of standing access, and a searchable record instead of a guess.
See exactly how the boundary holds on the security page.
Put a gated agent on your next migration — and your next incident.
Install a runner, connect your LLM, and let it investigate behind policy — acting only when you approve.
