Auto Remediation refers to the automatic detection and resolution of incidents in IT systems without manual intervention. It bridges the gap between monitoring, alerting, and action by using scripts, tools, and services to recover from failures in real-time.<\/p>\n\n\n\n
\nNote:<\/strong> According to Google\u2019s SRE book, eliminating toil through automation is one of the main tenets of reliability engineering.<\/p>\n<\/blockquote>\n\n\n\n
\n\n\n\nReal-World Examples<\/h2>\n\n\n\n
1. AWS Lambda auto-restarts EC2 if CPU usage is 100% for 5 minutes.<\/h3>\n\n\n\n
2. Kubernetes automatically restarts a pod if it crashes.<\/h3>\n\n\n\n
3. Azure Automation shuts down unused VMs after hours.<\/h3>\n\n\n\n
4. Ansible script resolves disk space issues by cleaning logs.<\/h3>\n\n\n\n
\n\n\n\nMonitoring and Incident Detection<\/h2>\n\n\n\n
Prometheus Example:<\/h3>\n\n\n
group: instance-health\nrules<\/span>:\n - alert: HighCPUUsage\n expr<\/span>: avg(rate(node_cpu_seconds_total{mode=\"user\"<\/span>}[5<\/span>m])) by (instance) > 0.8<\/span>\n for<\/span>: 2<\/span>m\n labels<\/span>:\n severity: critical\n annotations<\/span>:\n summary: \"High CPU usage on {{ $labels.instance }}\"<\/span>\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\nAWS CloudWatch Example:<\/h3>\n\n\n\n
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- Set metric alarms on EC2<\/li>\n\n\n\n
- Trigger SNS topic<\/li>\n\n\n\n
- SNS calls Lambda function<\/li>\n<\/ul>\n\n\n\n
\n\n\n\nTriggering Automated Responses<\/h2>\n\n\n\n
AWS Lambda Example:<\/h3>\n\n\n
import<\/span> boto3\n\ndef lambda_handler(event, context):\n ec2 = boto3.client('ec2'<\/span>)\n ec2.reboot_instances(InstanceIds=['i-0abcd1234'<\/span>])\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\nAzure Automation:<\/h3>\n\n\n\n
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- Use PowerShell runbooks<\/li>\n<\/ul>\n\n\n\n
Ansible + Rundeck:<\/h3>\n\n\n
ansible-playbook<\/span> restart-service<\/span>.yml<\/span>\n<\/code><\/span>Code language:<\/span> CSS<\/span> (<\/span>css<\/span>)<\/span><\/small><\/pre>\n\n\nStackStorm:<\/h3>\n\n\n
---\ntrigger:\n type: core.st2.webhook\n parameters:\n url: \/alert\naction:\n ref: my_pack.restart_service\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\nIncident Management System Integration<\/h2>\n\n\n\n
Opsgenie:<\/h3>\n\n\n\n
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- Auto-acknowledge alerts<\/li>\n\n\n\n
- Execute scripts or trigger workflows<\/li>\n<\/ul>\n\n\n\n
ServiceNow:<\/h3>\n\n\n\n
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- Auto-create\/change incidents based on events<\/li>\n\n\n\n
- Trigger remediation flows via Flow Designer<\/li>\n<\/ul>\n\n\n\n
\n\n\n\nRunbooks and Playbooks<\/h2>\n\n\n\n
Sample Playbook:<\/h3>\n\n\n
- name: Disk Cleanup\n hosts<\/span>: all\n tasks<\/span>:\n - name: Clean up old logs\n file<\/span>:\n path: \"\/var\/log\/app\/*.log\"<\/span>\n state<\/span>: absent\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\nRunbook Steps:<\/h3>\n\n\n\n
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- Identify log directory<\/li>\n\n\n\n
- Clean if disk > 90%<\/li>\n\n\n\n
- Notify Slack channel<\/li>\n<\/ol>\n\n\n\n
\n\n\n\nAuto Healing Kubernetes Pods<\/h2>\n\n\n\n
Liveness & Readiness Probes:<\/h3>\n\n\n
livenessProbe:\n httpGet:\n path: \/healthz\n port: 8080\n initialDelaySeconds: 5\n periodSeconds: 10\n<\/code><\/span><\/pre>\n\n\nHorizontal Pod Autoscaler (HPA):<\/h3>\n\n\n
apiVersion: autoscaling\/v1\nkind: HorizontalPodAutoscaler\nspec:\n minReplicas: 2\n maxReplicas: 10\n targetCPUUtilizationPercentage: 80\n<\/code><\/span><\/pre>\n\n\n
\n\n\n\nAuto Remediation with Terraform, Python, and Shell<\/h2>\n\n\n\n
Terraform + Lambda:<\/h3>\n\n\n
resource \"aws_lambda_function\"<\/span> \"reboot_ec2\"<\/span> {\n filename = \"reboot.zip\"<\/span>\n handler = \"reboot.lambda_handler\"<\/span>\n runtime = \"python3.9\"<\/span>\n role = aws_iam_role.lambda_exec.arn\n}\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n\n\nShell Script Example:<\/h3>\n\n\n