Self-Healing Cloud Operations & IaC Management
Transform cloud operations with autonomous DevOps agents. We build AI systems that monitor CloudWatch alarms, diagnose root causes from telemetry, auto-remediate failing nodes, and generate pull requests to patch Terraform and CloudFormation infrastructure.
Production-tested execution flow designed for multi-region reliability and security.
EventBridge routes alarm payloads to AI remediation worker.
Agent analyzes CloudWatch logs, CPU metrics, and trace histories.
Generates HCL Terraform fix in isolated git patch branch.
Runs terraform plan and applies change following automated verification.
Detects infrastructure drift and automatically drafts Terraform and CloudFormation pull requests.
Resolves recurring CloudWatch alerts, restarts failing tasks, and adjusts security group rules instantly.
Diagnoses broken GitHub Actions or AWS CodePipeline builds and applies missing dependency fixes.
Orchestrates progressive traffic shifts and automatically rolls back deployment shifts upon metric regression.
import boto3
def handle_cloudwatch_incident(event, context):
detail = event['detail']
alarm_name = detail['alarmName']
print(f"Processing incident for CloudWatch Alarm: {alarm_name}")
# Analyze cloud telemetry via Boto3
cloudwatch = boto3.client('cloudwatch')
# Auto-remediate instance capacity or configuration
return {"status": "SUCCESS", "remediation": "Scales ASG desired capacity to 5"}Yes. We configure strict guardrails where agents execute `terraform plan`, evaluate safety policies via Open Policy Agent (OPA), and await human approval for major infrastructure modifications.
Event-driven agents respond within seconds of an AWS EventBridge event, bringing mean time to resolution (MTTR) down from hours to under 3 minutes.
Book an architecture review session with our senior AI engineers to assess your infrastructure and custom requirements.
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