End the 3am page rotation. Let AI on-call agents take first response.
Built-in observability plus Lookout AI — diagnoses incidents 90% faster and auto-resolves trivial ones with your approval. Live in under 30 minutes.
Lookout AI · private beta
No credit card required
AWS
GCP
AzureBuilt-in monitoring, from minute one.
AI on-call agents are only as good as the signal under them. Every environment and service managed by LocalOps gets logs and metrics wired up by default — so Lookout AI has real data to reason over from day one.
- Loki, Prometheus and Grafana installed in-cluster
- Infrastructure + service logs and metrics from day one
- Stays inside your VPC — no egress, no SaaS bill
- Alerts route to Slack, MS Teams, PagerDuty or email
- nodes · cpu / memprometheus
- k8s eventsloki
- cloud auditcloudwatch
- stdout / stderrloki
- /metricsprometheus
- custom countersops.json
Diagnose issues 90% faster with Lookout AI.
Lookout AI runs across the same built-in monitoring — screening alerts, reasoning through root cause, and proposing remediations your on-call can approve in one click.
Most pages aren't incidents. Lookout AI reads the alert, correlates it against recent deploys, infra changes and prior incidents, and only escalates what your on-call actually needs to look at.
- Suppress flapping and known-noisy alerts
- Correlate with recent deploys and infra events
- Promote silent failures that humans usually miss
Four steps, from zero to AIOps.
No new monitoring stack to buy. No new on-call rota to invent. Stand up environments, services and AI agents on your cloud — in the same afternoon.
Connect your cloud account
AWS, GCP or Azure — via a keyless, least-privilege role. LocalOps provisions everything inside your VPC.
AWS
GCP
Azure
Connect your code repo
Install the LocalOps app on the GitHub or GitLab org your services live in.
- GitHub
- GitLab
Deploy environments + services
Stand up dev/qa/uat/prod with observability suite live from the first deploy.
devqauatprodIntegrate Lookout AI
Connect the agent to your monitoring suite. It starts triaging alerts and reasoning on incidents within minutes.
AIOps · liveon your cloud
Get AIOps on your cloud, this afternoon.
Sign up on the free plan, connect your cloud and a repo, and ship a service with monitoring live from the first deploy. Join the Lookout AI private beta to layer agents on top.
What does 'AIOps in 30 minutes' actually include?
Connecting your AWS, GCP or Azure account and one GitHub or GitLab repo takes a few minutes each. Spinning up an environment with the full observability suite (Loki, Prometheus, Grafana) takes ~30 minutes. Lookout AI plugs into that observability stack and starts triaging alerts within minutes of being enabled.
Do I need an existing monitoring stack before turning on Lookout AI?
No. Every environment LocalOps provisions ships with Loki, Prometheus and Grafana wired up for both infrastructure and your services. Lookout AI reads from that same stack — there's nothing to install or pay for separately.
What does 'diagnose 90% faster' mean in practice?
Where an on-call engineer typically scrolls through hundreds of log lines and switches across several dashboards, Lookout AI reads logs, metrics and service topology in parallel and returns a ranked set of likely root causes with confidence scores — usually inside a minute.
Which incidents will Lookout AI auto-resolve?
Common, well-understood ones — rolling back a bad release, restarting a wedged service, draining a hot node. By default these require human approval in Slack or MS Teams. You can pre-approve specific remediations to run autonomously.
Where does my data go? Does Lookout AI send logs outside my VPC?
Logs and metrics stay in-cluster on your cloud account. Lookout AI runs against that data with least-privilege access. We don't ship your raw logs or production data to a third-party SaaS.
Is Lookout AI generally available?
It's currently in private beta. You can sign up for LocalOps on the free plan today and get on the waitlist to be invited as Lookout AI rolls out.
How does this fit alongside PagerDuty / Opsgenie?
Lookout AI sits in front of your pager — screening alerts, classifying severity and suppressing noise before they ever wake a human. The remaining incidents still page through your existing on-call tool, but with a ranked root-cause analysis attached.
Will my existing services work with the built-in monitoring?
Yes. Services log to stdout / stderr and expose a /metrics endpoint — Loki and Prometheus pick those up automatically. Custom counters can be declared under 'metrics' in ops.json.
What does this replace? Datadog, New Relic, a hired SRE?
It replaces the SaaS APM bill and the manual triage work that on-call engineers do today. Your SRE team still owns the system — Lookout AI removes the toil of first-pass diagnosis and trivial remediation.