Does this replace our monitoring tools?

No. Agents read from the tools you already run, such as CloudWatch, Datadog, Grafana and PagerDuty. Your alert rules and dashboards stay where they are.

What access does it need?

Read-only access to the alert sources, observability data and repositories you choose. Access is scoped per source and you can revoke it at any time.

Can agents act without a person?

Only where your policy allows it. Most teams start with agents investigating and proposing, then let them close noise and run low-risk fixes once the results have earned trust.

How does it handle noisy alerts?

Each noisy alert is closed with a written reason and the evidence behind it. Repeat offenders are flagged so your team can tune or delete the rule.

AWS Partner

SOC 2 Reports

Frontier Investigationfor Every Alert

Every alert from every monitoring tool investigated to root cause before a human opens it.

Connect the monitoring tools you already run. Agents pick up each alert, pull the logs, metrics, traces and recent changes behind it, and hand your on-call a root cause with the evidence attached. Noise is closed with a written reason. Real issues arrive with a fix ready to approve.

Book a Demo See how it works

CloudWatch alarmroot cause found

checkout-api p99 latency above 2s

Signals: RDS CPU at 94%, 4,210 slow queries, error rate flat
Change: Deploy v2.14.0 at 09:12 ran migration 0193
Root cause: Migration dropped the index on orders.customer_id
Evidence: 6 linked queries, traces and diffs
Fix: Recreate the index online. Reversible, no rollback needed

Investigated in 94s. Waiting for on-call approval

[The work behind every alert]

Alerts fire in seconds.Root causes still take hours.

01The manual work

Investigate

An alert is only the start. On-call still opens every dashboard, pulls logs, checks the last deploy and pieces together what went wrong.

02The agent handoff

Root cause ready

Frontier agents take the alert the moment it fires, connect the evidence and prepare a root cause and a fix for your team to review.

03Your engineers’ role

Approve

Set what agents may close on their own. Review the proposed fix and decide what reaches production.

[Where CloudThinker fits]

Your stack stays.Agents work inside it.

01Signal sources

Already in your monitoring

Amazon CloudWatchAlarms, logs and X-Ray traces
Azure MonitorAlerts, Log Analytics, Application Insights
Google Cloud MonitoringAlerting policies and Cloud Logging
DatadogMonitors, APM and logs
Prometheus and GrafanaAlertmanager rules and dashboards

No change to your alert rules

02Paging and change

Your system of record

PagerDutyIncidents and escalation policy
OpsgenieAlert routing and schedules
GitHub and GitLabDeploys, diffs and pipelines
Argo CDKubernetes rollouts and history

Source of truth stays put

03Investigation

CloudThinker

CorrelateLogs, metrics and traces in one timeline
Trace the changeThe deploy, config or infra edit behind it
ProveEach finding linked to its query, trace or diff
ProposeA reversible fix at your approval level

Read-only by default

04Response

Fixes, not pages

SlackRoot cause posted to the incident channel
Microsoft TeamsApprove the fix from the thread
JiraFollow-up ticket with the evidence
PagerDutyIncident resolved once the fix is verified

Fix runs on approval

Logos show common stacks. CloudThinker connects to each one through read-only access you approve.

[Example scenario]

Tuesday, 02:14. Checkout slows down.Your on-call is still asleep.

A 40-engineer e-commerce team on EKS and RDS, with CloudWatch, Datadog and PagerDuty. One engineer on call, a sale starting at 08:00.

02:14
Alarm firesSignal
CloudWatch: checkout-api p99 latency above 2s for 5 minutes. PagerDuty opens an incident.
02:14
Agent picks it upAgent
Groups 3 related alerts, pulls RDS metrics, slow query logs, traces and the last 24 hours of deploys.
02:15
Root cause, with proofAgent
Deploy v2.14.0 ran migration 0193, which dropped the index on orders.customer_id. Linked: the diff, the query plan, the trace.
02:16
Fix proposedAgent
Recreate the index online. Reversible, no rollback of the release needed. Posted to the incident channel and paged on-call.
02:21
On-call approves from bedYour team
Reads the evidence on a phone, taps Approve. The agent runs the change under the on-call’s approval.
02:29
Verified and written upAgent
p99 back under 300ms. Incident resolved, postmortem draft and a ticket to add a migration check left for the morning.

#inc-checkout-latency4 messages

PagerDuty02:14
Triggered: checkout-api p99 latency above 2s (CloudWatch).
CloudThinker02:16
Root cause: migration 0193 in deploy v2.14.0 dropped idx_orders_customer_id. 4,210 slow queries since 02:09. Proposed fix: CREATE INDEX CONCURRENTLY. Reversible. Evidence: 6 links.
On-call SRE02:21
Checked the query plan. Approved.
CloudThinker02:29
Index rebuilt. p99 at 280ms and steady for 5 minutes. Incident resolved. Postmortem draft and follow-up ticket CHK-1182 created.

from alarm to approved fix: 7 min
dashboards opened by a person: 0
from the on-call engineer: 1 tap

An illustrative example. Team, systems and times are representative, not a specific customer.

[Frontier investigation agents]

Every alert gets a first look.Only the real ones reach a person.

Agents work every alert source on the same policy, so a page at 3am arrives already investigated, and a noisy rule gets flagged instead of muted.

Correlate every signal: Logs, metrics, traces and related alerts pulled into one timeline, across every tool the alert touches.
Trace it to a change: Deploys, config edits and infrastructure changes lined up against the moment things went wrong.
Close the noise: Noisy alerts closed with a written reason and the evidence behind it. Repeat offenders flagged for tuning.
Hand over a fix: Real issues come with a reversible fix that runs only at the approval level you set.

[What changes]

Same team. Same tools.Far less of the work by hand.

Moment	Today	With frontier agents
First look at an alert	Whenever on-call gets to it	Seconds after it fires
Gathering context	By hand, tab by tab	Logs, metrics, traces and changes pulled automatically
Noisy alerts	Muted or ignored	Closed with a written, auditable reason
Handover	A long Slack thread	One root cause report with evidence links
What the team learns	Stays in a few senior heads	Captured in every investigation

[Integrations]

Connects to the rest of your stack.Read-only to start.

Amazon CloudWatch
Datadog
Grafana
Prometheus
New Relic
Dynatrace
Splunk
Sentry
PagerDuty
Opsgenie
incident.io
ServiceNow
Slack
GitHub
GitLab

[Adoption path]

One pilot.Then company-wide.

The rollout follows the four phases of the AWS Cloud Adoption Framework, so it fits the plan your cloud team already runs.

01Envision
Pick one noisy service
Connect one alert source read-only and let agents investigate in shadow mode. Compare their root causes with your team’s.
02Align
Agree the autonomy policy
Decide which alerts agents may close alone, which fixes need approval, and who approves.
03Launch
Roll out team by team
Add each team’s alert sources on the same policies, report format and audit trail.
04Scale
Make it the default
New services launch with investigation on. Findings feed postmortems, runbooks and alert tuning.

[Customer proof]

F88.Results on the record.

A Vietnamese consumer-finance company with 800+ branches grew a small read-only pilot into a governed hybrid-cloud operating model.

Read the case study

of daily operations automated: 80%
lower AWS spend: 30%

[AWS guidance]

Built the way AWS says to run it.Reviews start from a known reference.

[Trust and control]

Agents do the work.Your team keeps control.

You approve every change: Agents propose. Nothing touches production until someone on your team says yes, and you set that rule per system.
Every action on the record: Each step is logged, attributed and reversible, ready for your auditors.
Certified for enterprise: SOC 2 Type II and ISO 42001, with reports in our trust center.
Runs where you need it: In our cloud, through AWS Marketplace, or inside your own account.

[Questions]

What teams askbefore they start.

Does this replace our monitoring tools?: No. Agents read from the tools you already run, such as CloudWatch, Datadog, Grafana and PagerDuty. Your alert rules and dashboards stay where they are.
What access does it need?: Read-only access to the alert sources, observability data and repositories you choose. Access is scoped per source and you can revoke it at any time.
Can agents act without a person?: Only where your policy allows it. Most teams start with agents investigating and proposing, then let them close noise and run low-risk fixes once the results have earned trust.
How does it handle noisy alerts?: Each noisy alert is closed with a written reason and the evidence behind it. Repeat offenders are flagged so your team can tune or delete the rule.

[Go deeper]