Compute
EC2 instances and Auto Scaling groups: unhealthy hosts, capacity limits, failed launches.
Technology Services · AWS Infrastructure
Self-healing AWS infrastructure with AI agents
When something goes wrong in your AWS environment, AI agents pull the logs, find the root cause, and prepare the fix. An architect approves with a single tap, and the fix is applied and verified automatically.
Less downtime. No in-house engineers needed. Every incident documented.
How it works
From alarm to fix, with an architect approving
Agents do the digging that normally eats an engineer’s night. Your architect makes one decision, and automation handles the rest.
1
AI agent
Detect
Agents watch CloudWatch alarms, health checks, and unusual patterns across your resources, and open an incident when something drifts from normal.
2
AI agent
Pull the evidence
Logs, metrics, traces, recent deployments, and configuration changes are gathered from CloudWatch, CloudTrail, and AWS Config for every affected resource.
3
AI agent
Find the root cause
Agents correlate the evidence to pinpoint what actually broke and why, and attach the proof so nobody has to take it on faith.
4
AI agent
Propose the fix
A specific remediation, such as scaling a service, rolling back a deployment, or correcting a configuration, with its expected impact and a rollback plan.
5
Architect
Approve
The architect gets the diagnosis and the proposed fix in one notification, and approves, adjusts, or rejects it with a single tap.
6
Automated
Apply & verify
The fix is applied through your infrastructure-as-code pipeline, verified with health checks, and written up in a post-incident report.
Incident replay
Watch an incident get fixed. You make the call.
Pick an incident and run it. When the fix is ready, you approve it. Then turn the AI agents off and run it again.
1. Pick an incident
2. AI agents
Illustrative incidents. Real ones follow the same steps and leave the same audit trail.
What it covers
Built for the AWS services your business runs on
From the servers behind your website to the database behind your orders, agents know what healthy looks like and what to check when it isn’t.
Containers
ECS and EKS: crashing tasks, failed deployments, resource exhaustion.
Serverless
Lambda and API Gateway: errors, throttling, timeouts, and bad releases.
Databases
RDS, Aurora, and DynamoDB: connection limits, slow queries, storage pressure.
Networking
VPC, load balancers, and DNS: failing targets, routing errors, certificate problems.
Storage
S3 and EBS: permission errors, full volumes, and misconfigured buckets.
Identity & Access
IAM misconfigurations, overly broad permissions, and expiring credentials.
Cost Anomalies
Runaway spend, idle resources, and oversized services caught before the bill arrives.
Guardrails
Automation with an architect at the controls
Every fix is a recommendation until a person approves it, and every action leaves a record.
Approval on every change
Fixes run only after an architect approves, unless it’s a routine fix you’ve pre-approved.
Least-privilege roles
Agents get only the access they need to diagnose a problem and apply an approved fix.
Every action logged
Each diagnosis, approval, and change is recorded in CloudTrail and on the incident, giving you a complete trail for audits.
Automatic rollback
If health checks fail after a fix, the change is rolled back and the architect is alerted.
Infrastructure as code
Fixes flow through your infrastructure-as-code templates, so the live environment and your source of truth stay in sync.
Permanent fixes
Recurring incidents are flagged, so the underlying problem gets a real fix instead of the same patch again and again.
Why it matters
Infrastructure that fixes itself, safely
What changes for your team
- Less downtime: problems are diagnosed and fixed while your team would still be opening dashboards
- A real root cause on every incident, not just a restart and a shrug
- No in-house engineers needed to keep it running
- Every incident documented: what happened, why, and what fixed it
- Recurring issues surface and get permanent fixes
- Cost anomalies caught before they become a surprise on the bill
Built into the same platform
Pairs perfectly with
Agentic AI Support Center
Bug reports and feature requests become tested, deployed code changes, with an architect approving every one.
Learn more →Custom CRM & ERP Systems
One system for customers, quotes, orders, inventory, accounting, and support, built around how your operation runs.
Learn more →Let your infrastructure heal itself
Tell us about your AWS environment. We’ll show you how self-healing would handle the incidents that cost you the most.
Talk to Us About AWSor write to us at team@scpfirm.com
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