Do we need a written standard first?

It helps, but a checklist in a wiki is enough to start. Agents turn it into rules and show where it is vague.

Can agents block a launch?

Only if you want them to. Most teams start with a report and a sign-off, then make the top-tier rules blocking.

What about services already in production?

Run the same standard across the fleet. Gaps are grouped by team so each owner gets a short, fixable list.

What access do agents need?

Read-only access to your catalog, monitoring, paging and infrastructure config. Fixes arrive as pull requests your team reviews.

AWS Partner

SOC 2 Reports

Frontier Governancefor Production Readiness

Every service meets your SLO, alerting and runbook standard before launch.

Your platform team wrote a launch standard. Most services ship without anyone checking it. Agents review each service against your SLO, alerting, runbook and resilience rules before launch, show exactly what is missing with the evidence, and open the fixes. Launch reviews take an afternoon, not a sprint.

Book a Demo See how it works

Readiness review3 gaps found

payments-ledger v1.0 ahead of GA on Monday

Checked: 24 rules from the platform launch standard
SLO: Defined: 99.9% availability, p95 under 400ms
Gap: No alert on the SLO burn rate. Runbook link returns 404
Gap: RDS has no cross-region backup copy
Fix: 3 pull requests opened: alert rules, runbook, backup plan

Waiting for the service owner to review

[The work behind every launch]

Teams ship new services every week.Readiness reviews happen when someone remembers.

01The manual work

Check

A senior engineer walks a checklist with each team, reads dashboards and config by hand and signs off on trust.

02The agent handoff

Gaps listed

Frontier agents check every rule against the real config, attach the evidence and open the fixes for the team.

03Your team’s role

Sign off

Own the standard. Decide which gaps block a launch and sign off with the evidence in front of you.

[Where CloudThinker fits]

Your stack stays.Agents work inside it.

01Service sources

Already in your platform

BackstageService catalog and launch standard
Amazon EKS and CloudWatchWorkloads, alarms and backups
AKS and Azure MonitorWorkloads and alert rules
GKE and Cloud MonitoringWorkloads and SLO definitions
GitHub and GitLabCode, pipelines and runbooks

No change to your standard

02Operations

Your system of record

DatadogMonitors and SLOs
PagerDutyServices and escalation policies
Argo CDRollout and rollback history
TerraformBackups, alarms and scaling as code

Source of truth stays put

03Governance

CloudThinker

CheckEvery rule in your launch standard
ProveEvidence linked for each pass
Close gapsMissing monitors and runbooks drafted
ReportOne readiness score per service

Read-only by default

04Response

Launch with proof

Pull requestsMonitors, runbooks and backup plans
SlackReadiness posted to the launch channel
JiraOpen gaps tracked to an owner
PagerDutyOn-call ready before day one

Launch signed off by people

Logos show common stacks. CloudThinker checks each service through read-only access you approve.

[Example scenario]

Thursday, 10:00. Launch is Monday.Nobody has checked the alerts.

A 60-engineer payments company on EKS and Aurora, with Datadog, PagerDuty and a 24-rule launch standard in Backstage. The new ledger service goes live Monday.

10:00
Launch ticket moves to reviewSignal
Jira PLAT-812, payments-ledger GA, moves to Readiness Review.
10:02
Agent checks the standardAgent
Reads the Backstage catalog, Datadog monitors, PagerDuty schedules, Aurora settings and the Helm chart against all 24 rules.
10:09
Finds 3 real gapsAgent
No burn-rate alert on the SLO, a broken runbook link, and no cross-region backup copy for the database.
10:14
Opens the fixesAgent
Three pull requests: Datadog monitor as code, runbook stub from the template, AWS Backup plan in Terraform.
14:30
Service owner mergesYour team
Reviews and merges all three. Adds two runbook steps the agent could not know.
14:41
Re-checked and signed offAgent
24 of 24 rules pass. Evidence attached to PLAT-812 for the platform lead.

#launch-payments-ledger4 messages

Jira10:00
PLAT-812 payments-ledger GA moved to Readiness Review.
CloudThinker10:14
21 of 24 launch rules pass. Gaps: no SLO burn-rate alert, runbook link 404, no cross-region backup for ledger-db. Opened 3 pull requests with the fixes.
Service owner14:30
Merged all three and added the failover steps to the runbook.
CloudThinker14:41
Re-checked: 24 of 24 rules pass. Evidence attached to PLAT-812. Ready for platform lead sign-off.

launch rules checked against real config: 24 / 24
gaps fixed before launch, not after: 3
from review to sign-off: 1 day

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

[Frontier governance agents]

Your standard, checked every time.Against the config, not the slide deck.

Agents read the real alert rules, runbooks and infrastructure, so a launch review shows what is actually in place and the team gets the fix as a pull request.

Check SLOs: Every service has an SLO, an error budget and an owner, and the numbers match what users actually see.
Check alerting: Burn-rate alerts exist, route to a real schedule and page someone who can act.
Check runbooks: Every alert links to a runbook that exists and covers the failure it fires for.
Check resilience: Backups, multi-AZ, autoscaling and rollback settings checked against your standard.

[What changes]

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

Moment	Today	With frontier agents
Launch review	A meeting and a checklist	Every rule checked against the real config
Missing alerts	Found during the first outage	Found before launch, with the alert as code
Runbooks	Broken links and empty pages	Checked for every alert, stubs opened from your template
After launch	Nobody checks again	Services re-checked when the standard or the config changes
Platform team time	Spent in review meetings	Spent improving the standard itself

[Integrations]

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

Backstage
Datadog
Grafana
Prometheus
PagerDuty
Opsgenie
Amazon CloudWatch
AWS Backup
Amazon EKS
Argo CD
Terraform
GitHub
GitLab
Slack

[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
Write the standard down
Load your launch checklist as rules. Agents check one upcoming launch read-only and show what they would flag.
02Align
Agree what blocks a launch
Decide which gaps block, which warn, and who signs off for each tier of service.
03Launch
Check every new service
Every launch ticket triggers the same review, report format and evidence trail.
04Scale
Check the existing fleet
Run the standard across services already in production and burn the gaps down team by team.

[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.

Do we need a written standard first?: It helps, but a checklist in a wiki is enough to start. Agents turn it into rules and show where it is vague.
Can agents block a launch?: Only if you want them to. Most teams start with a report and a sign-off, then make the top-tier rules blocking.
What about services already in production?: Run the same standard across the fleet. Gaps are grouped by team so each owner gets a short, fixable list.
What access do agents need?: Read-only access to your catalog, monitoring, paging and infrastructure config. Fixes arrive as pull requests your team reviews.

[Go deeper]