System Monitoring and Auto-Recovery

1.1 Overview

This section details the System Monitoring and Auto-Recovery mechanisms within the CapsureLabs platform. These mechanisms ensure continuous availability, timely incident detection, and automated recovery actions to maintain platform resilience and user satisfaction

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1.2 Objectives of System Monitoring and Auto-Recovery

Real-Time System Health Monitoring

Track performance, detect anomalies, and capture metrics for real-time status visibility.

Automated Incident Response

Automatically respond to incidents through preconfigured rules, reducing downtime.

Alerting and Notification

Send immediate alerts to relevant team members in the event of critical failures.

Self-Healing

Implement auto-recovery actions for commonly encountered issues to maintain system continuity.

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1.3 Tools for System Monitoring and Auto-Recovery

Prometheus

A monitoring and alerting toolkit used to collect metrics and generate alerts.

Grafana

Provides visualizations and dashboards for Prometheus metrics.

ELK

Manages logs and offers search and visualization capabilities.

AWS CloudWatch / Google Stackdriver

Provides cloud-specific monitoring for AWS or GCP environments, allowing infrastructure and application tracking.

Kubernetes Health Checks

Built-in readiness and liveness probes for automatic recovery of services.

Ansible / Terraform

Infrastructure as code tools to restore system state in the event of hardware or configuration failures.

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1.4 Monitoring Code (Prometheus and Grafana)

# prometheus.yml
global:
  scrape_interval: 15s

scrape_configs:
  - job_name: 'capsurelabs_app'
    static_configs:
      - targets: ['localhost:8080']

alerting:
  alertmanagers:
    - static_configs:
        - targets: ['localhost:9093']

rule_files:
  - "alert_rules.yml"

# alert_rules.yml
groups:
  - name: cpu_alert
    rules:
      - alert: HighCPUUsage
        expr: avg(rate(container_cpu_usage_seconds_total[5m])) > 0.8
        for: 5m
        labels:
          severity: "critical"
        annotations:
          summary: "High CPU Usage Detected"
          description: "CPU usage is above 80% for the past 5 minutes."

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1.5 Auto-Recovery Mechanisms

1.5.1 Kubernetes Liveness and Readiness Probes

# deployment.yaml
spec:
  containers:
    - name: capsurelabs-service
      image: capsurelabs/service-image:latest
      livenessProbe:
        httpGet:
          path: /healthz
          port: 8080
        initialDelaySeconds: 5
        periodSeconds: 10
      readinessProbe:
        httpGet:
          path: /readiness
          port: 8080
        initialDelaySeconds: 5
        periodSeconds: 10

1.5.2 Ansible for Automated Recovery

# ansible-playbook.yml
- name: Recover Database
  hosts: database_servers
  tasks:
    - name: Check Database Health
      command: "pg_isready"
      register: db_status
      ignore_errors: yes

    - name: Restart Database
      service:
        name: postgresql
        state: restarted
      when: db_status.rc != 0

1.5.3 AWS Auto-Recovery for EC2 Instances

{
  "AlarmName": "Instance-HealthCheck-Failure",
  "AlarmDescription": "Triggers recovery if instance is unhealthy",
  "AWSAccountId": "YOUR_AWS_ACCOUNT_ID",
  "MetricName": "StatusCheckFailed",
  "Namespace": "AWS/EC2",
  "Statistic": "Average",
  "Period": 300,
  "EvaluationPeriods": 2,
  "Threshold": 1,
  "ComparisonOperator": "GreaterThanOrEqualToThreshold",
  "ActionsEnabled": true,
  "AlarmActions": [
    "arn:aws:automate:YOUR_REGION:ec2:recover"
  ],
  "Dimensions": [
    {
      "Name": "InstanceId",
      "Value": "YOUR_INSTANCE_ID"
    }
  ]
}