A co-pilot for your L1 team. Diagnose issues 90% faster — Lookout reads the logs, metrics and deploys your on-call engineer would have opened, and hands back a ranked root cause.
Works out of the box with LocalOps environments
Let your team investigate the incident, not the tooling. Lookout sweeps logs, metrics and recent deploys, then reasons out the likely root causes with a confidence score against each one.
On-call scrolls through log statements, jumps between Grafana, the deploys page and the incident channel — one browser tab at a time, usually at 2 a.m.
The same sweep, done in parallel. Every candidate cause comes with the evidence behind it, so your team can audit the reasoning instead of trusting it blindly.
Alert fatigue is how teams end up overlooking the alert that mattered. Lookout runs AI analysis over every incoming alert and sorts it into one of three buckets, so what needs a human right now is never buried.
Most escalations happen because the person on call does not know how the system fits together. Lookout builds a knowledge graph of your stack — the services, their architecture and their dependencies — and shares it with whoever is holding the pager.
Every web, worker, job and cron — with owners, recent deploys and the alerts each one fires.
Which service calls which, sync vs async, and the cloud dependencies behind each hop.
Your senior engineers correct and extend the graph directly — instead of writing another SOP nobody reads.
The graph stays current because it is derived from what is actually running — not from a wiki page someone last edited two quarters ago.
Lookout keeps a memory of the incidents that recur in your stack and the root cause behind each one. The next look-alike gets investigated faster, because the answer is already half known.
Lookout is not tied to one runtime or one vendor. Point it at what you already run — plain VMs or containers, any cloud or your own datacentre — and connect the observability suite your team already watches.
| Layer | Works with |
|---|---|
| ServersVMs and cloud-native alike |
|
| CloudsWherever those servers run |
|
| ObservabilityConnect a suite to get started |
|
Already deploying with LocalOps? Every environment ships with Loki, Prometheus and Grafana wired up — Lookout reads from that stack with nothing to connect.
Plenty of incidents need one simple action, not an investigation. Lookout proposes the action and runs it once a human approves.
Revert to the previous green deploy when a release ships a regression.
Roll a service's replicas when memory or threads have wedged.
Bump replica count when a spike is being absorbed by too few pods.
Every action waits for an approval from your team. Lookout never changes production on its own.
Walk through it with us — alert triage, the knowledge graph and a root-cause investigation, end to end.
Lookout AI is in private beta today. Email us your work address and we will invite you as we hit GA.
Not yet — Lookout AI is in private beta. We are inviting teams in waves. Email support@localops.co to get on the waitlist and we will reach out as we hit GA.
Where an on-call engineer scrolls through hundreds of log statements and switches between several dashboards, Lookout reads logs, metrics and recent deploys in parallel and returns a ranked set of likely root causes with confidence scores — usually inside a minute.
No. Connect the observability suite you already run and Lookout starts from there. It covers servers on EC2 and other VMs as well as cloud-native workloads on ECS and Kubernetes, across AWS, Google Cloud, Azure and on-prem. If you deploy with LocalOps, every environment already ships with Loki, Prometheus and Grafana, so there is nothing extra to set up.
Grafana with Loki and Prometheus, New Relic, Datadog and Site24x7, among others. Lookout reads from the logs, metrics and dashboards you already have rather than asking you to re-instrument your services.
No. For common issues where a simple action is enough — rolling back a release, restarting a wedged service, scaling replicas — Lookout proposes the action and executes it only after a human on your team approves it.
It builds a knowledge graph by discovering your services, how they call each other and which cloud resources they depend on. Because the graph is derived from what is actually running, it does not drift the way documentation and SOPs do. Your L2 and L3 engineers can correct and extend it directly.
No. It is a co-pilot for your L1 team. The point is that L1 can close more incidents on their own with the graph and root-cause analysis in front of them, so fewer incidents escalate to L2 and L3 in the first place.
Those tools route alerts to people. Lookout sits in front of that — analysing every incoming alert and sorting it into Now, Later or FYI. The alerts that still deserve a human page through your existing on-call tool, but with a ranked root-cause analysis attached.
Logs and metrics stay where they are, on your cloud account. Lookout runs against that data with least-privilege access. We do not copy your raw logs or production data into a third-party SaaS.
Lookout keeps a memory of the incidents that recur in your stack along with their root causes and fixes. Each new investigation pulls in recent incident data, so a repeat incident is diagnosed considerably faster than the first occurrence.