Frontier Resolutionfor Day-2 Operations

Patching, certificate and secret rotation, scaling and storage done on schedule.

Patching, certificate and secret rotation, storage expansion and scaling are the work that keeps production up and never makes the roadmap. Agents run it on the schedule and policy you set, check each change before and after, and hand your team a record of what ran and why.

Maintenance windowcompleted

Monthly patching: 212 instances, 3 accounts

Scope
Patch baseline prod-linux, 212 instances in 3 accounts
Pre-check
Snapshots taken, 2 hosts skipped: active batch jobs
Rollout
4 waves of 25%, health checks between waves
Exception
ip-10-2-14-8 failed to reboot. Restored from snapshot
Result
209 patched and healthy. 3 rescheduled for Sunday

Compliance report sent to #ops-maintenance

[The work behind every maintenance window]

Certificates expire on a date.Someone still has to remember it.

01The manual work

Maintain

Engineers track expiry dates in spreadsheets, patch in late-night windows and grow disks after the alert, not before.

02The agent handoff

Done on time

Frontier agents plan each task, check the system before and after, run it in safe waves and roll back if health checks fail.

03Your engineers’ role

Approve

Set the schedule, the blast radius and what needs a person. Review the exceptions, not the routine.

[Where CloudThinker fits]

Your stack stays.Agents work inside it.

01Fleet

Wherever your hosts run

  • AWSAWS Systems ManagerEC2 inventory, patch baselines
  • AzureAzure Update ManagerVM patching and compliance
  • Google CloudGoogle Cloud VM ManagerOS patch jobs and inventory
  • Linux and Windows hostsOn-prem servers and VMs
  • VaultHashiCorp VaultSecrets and leases

No change to your tooling

02Runbooks and change

Your system of record

  • AnsiblePlaybooks you already trust
  • TerraformInfrastructure as code
  • ServiceNowChange requests and windows
  • Jira Service ManagementOps tickets and approvals

Change process stays put

03Routine work

CloudThinkerCloudThinker

  • Patch in wavesCanary hosts first, then the fleet
  • Rotate on timeCertificates and secrets before expiry
  • Expand and scaleDisks and capacity before they fill
  • Roll backRestore a failed host from snapshot

Runs inside your change window

04Response

Done, then reported

  • SlackSlackRun summary in the ops channel
  • Microsoft TeamsMicrosoft TeamsUpdates for the wider team
  • JiraExceptions with owners
  • DatadogDatadogHealth checked after each wave

Each wave runs on approval

Logos show common stacks. CloudThinker connects to each one through scoped access you approve.

[Example scenario]

Sunday, 01:00. Patch night.Nobody on the team is awake for it.

A 12-person ops team running 212 EC2 instances across 3 AWS accounts, plus 40 TLS certificates and 90 service secrets. A critical OpenSSL patch landed on Thursday.

  1. 00:45

    Pre-checks runAgent

    Confirms the patch baseline, takes EBS snapshots and skips 2 hosts running finance batch jobs until they finish.

  2. 01:00

    Wave 1 of 4Agent

    Patches 25% of instances through Systems Manager, reboots, then waits for load balancer health checks to pass.

  3. 01:38

    One host failsSignal

    ip-10-2-14-8 does not come back after reboot. Health check fails for 5 minutes.

  4. 01:40

    Rolled back, rollout continuesAgent

    Restores the host from its snapshot, pulls it from the wave, opens OPS-774 with the console log, and continues with the healthy hosts.

  5. 03:10

    Rotation and capacityAgent

    Renews 3 certificates due in 14 days, rotates 6 database secrets with zero failed logins, and grows a log volume at 81% full.

  6. 08:30

    Team reviews one exceptionYour team

    The on-call engineer reads the morning summary, checks OPS-774 and approves a rebuild of the failed host.

#ops-maintenance4 messages
  • CloudThinker00:45

    Starting monthly patching: 212 instances in 4 waves. Snapshots done. Skipping 2 hosts with active batch jobs until 02:30.

  • CloudThinker01:40

    ip-10-2-14-8 failed to boot after patching. Restored from snapshot and removed from this run. Opened OPS-774 with the console log. Other waves continuing.

  • CloudThinker03:40

    Done. 209 patched and healthy, 3 rescheduled. Renewed 3 certificates, rotated 6 secrets, expanded logs-vol-02 to 500 GB. Compliance report attached.

  • On-call engineer08:30

    Read the log on OPS-774. Approved the rebuild.

instances patched with no one awake
209
exception for the team to review
1
expired certificates or failed logins
0

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

[Frontier resolution agents]

Routine work runs on time.Exceptions reach a person.

Agents run day-2 work on the same policy every time, so maintenance stops depending on who remembers what, and every change leaves a record your auditors can read.

Patch in safe waves
Snapshots first, then rolling waves with health checks between each one. A failed host is restored, not left broken.
Rotate before expiry
Certificates and secrets renewed ahead of their dates, with each consuming service checked after the change.
Grow capacity early
Disks, volumes and node groups expanded when the trend says so, not when the alert fires.
Keep the record
Every run produces a report: what changed, what was skipped and why, and what still needs a person.

[What changes]

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

MomentTodayWith frontier agents
Patch nightEngineers awake until 4amRuns in waves, reviewed over coffee
Certificate expiryFound when the site breaksRenewed weeks ahead, checked after
Secret rotationSkipped because it might break thingsRotated on schedule with each service verified
Disk spaceExpanded after the 95% alertGrown early from the usage trend
Audit evidenceScreenshots collected by handA report from every run

[Integrations]

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

  • AWS Systems Manager
  • AWS Certificate Manager
  • AWS Secrets Manager
  • Amazon EC2
  • Amazon EBS
  • Amazon CloudWatch
  • HashiCorp Vault
  • Ansible
  • Terraform
  • ServiceNow
  • Jira Service Management
  • PagerDuty
  • Datadog
  • Slack
  • GitHub

[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.

  1. 01Envision

    Start with one runbook

    Pick the task your team dreads most, often patching or certificate renewal, and let agents plan it in dry-run mode.

  2. 02Align

    Set windows and limits

    Agree maintenance windows, wave sizes, health checks and which failures stop the run.

  3. 03Launch

    Add the other routines

    Secret rotation, storage, scaling and log rotation join on the same schedule and the same report.

  4. 04Scale

    Make it the default

    New accounts and services inherit the routines on day one. Your team only sees the exceptions.

[Customer proof]

F88.Results on the record.

A Vietnamese consumer-finance company with 800+ branches encoded its runbooks once and applied them across accounts and environments.

Read the case study
of daily operations automated
80%
lower AWS spend
30%

[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.

What happens when a patch breaks a host?
The run stops for that host, restores it from the snapshot taken before patching, and opens a ticket with the logs. The rest of the wave continues only if health checks pass.
Does it replace Systems Manager or Ansible?
No. Agents drive the tools you already use, such as Systems Manager, Ansible and Terraform. They add planning, checks, rollback and the record around them.
Who decides when work runs?
You do. Maintenance windows, wave sizes, blackout dates and what needs approval are written in the policy before anything runs.
Can it work outside AWS?
Yes. The same routines run on Azure, GCP and on-premises hosts connected to CloudThinker, under the same policy and audit trail.

Hand over patch night.Keep the review.

Start with one runbook in dry-run mode. See the plan agents produce before you let them run a single change.

  • A CloudThinker team member holding a card reading "up to $200K active AWS credits"

    Up to $200K in AWS credits

    Applied to your own AWS account.

  • A CloudThinker team member presenting the AWS Partner AI Services Competency badge for Agentic AI Consulting Services

    AWS AI Services Competency

    Validated for Agentic AI Consulting.

  • An engineer approving a request beside a global operations map, an uptime dial, and HIPAA, GDPR and SOC compliance marks

    Covered 24/7, on your approval

    Under HIPAA, GDPR and SOC 2 controls.