Table of Contents
Introduction
This document presents a comprehensive monitoring plan for containerized environments, specifically designed for Podman-based deployments. The Invinsense monitoring plan ensures end-to-end observability from DNS resolution and certificate validity to container, pod, and host-level performance and security.
Monitoring Architecture Overview
The monitoring plan encompasses multiple layers of infrastructure and application components:
graph TB    subgraph "External Monitoring"        DNS[DNS Monitoring<br/>A, AAAA, CNAME, TXT]        CERT[Certificate Monitoring<br/>TLS 1.2/1.3]        SVC[Service Monitoring<br/>HTTP/HTTPS/TCP/SSH]    end
    subgraph "Container Layer"        CH[Container Health<br/>HEALTHCHECK]        LE[Lifecycle Events<br/>podman events]        RM[Resource Metrics<br/>CPU/Memory/Disk/Network]    end
    subgraph "Infrastructure Layer"        NP[Network Performance<br/>Latency/Loss/Throughput]        HM[Host Metrics<br/>System Resources]        SC[Security & Compliance<br/>Scanning/Policies]    end
    subgraph "Aggregation Layer"        LOG[Logs & Auditing<br/>Centralized Logging]        PM[Pod Monitoring<br/>Aggregated Health]        DASH[Dashboard<br/>Visualization]    end
    DNS --> DASH    CERT --> DASH    SVC --> DASH    CH --> LOG    LE --> LOG    RM --> PM    NP --> DASH    HM --> DASH    SC --> LOG    LOG --> DASH    PM --> DASH
    style DNS fill:#e3f2fd    style CERT fill:#fff9c4    style CH fill:#e8f5e9    style LOG fill:#f3e5f5    style DASH fill:#ffebeeMonitoring Components
1. DNS Monitoring → A | AAAA | CNAME | TXT
Purpose: Ensure domain name resolution is correct and up to date.
Implementation:
#!/bin/bash# DNS monitoring scriptDOMAINS=("app.example.com" "api.example.com")RECORD_TYPES=("A" "AAAA" "CNAME" "TXT")
for domain in "${DOMAINS[@]}"; do    for type in "${RECORD_TYPES[@]}"; do        result=$(dig +short $domain $type)        if [ -z "$result" ]; then            echo "WARNING: No $type record found for $domain"        else            echo "OK: $domain $type = $result"        fi    donedoneIntegration with Monitoring Stack:
# Prometheus configuration for DNS monitoring- job_name: "dns_monitoring"  metrics_path: /probe  params:    module: [dns]  static_configs:    - targets:        - app.example.com        - api.example.com  relabel_configs:    - source_labels: [__address__]      target_label: __param_target    - source_labels: [__param_target]      target_label: instance    - target_label: __address__      replacement: blackbox-exporter:91152. Certificate Monitoring → TLS 1.2 / 1.3
Purpose: Validate SSL/TLS certificate security and ensure supported protocols.
Implementation:
#!/bin/bash# Certificate monitoring scriptcheck_certificate() {    local host=$1    local port=${2:-443}
    # Check certificate expiry    expiry=$(echo | openssl s_client -servername $host -connect $host:$port 2>/dev/null | \             openssl x509 -noout -enddate 2>/dev/null | cut -d= -f2)
    # Check TLS version    tls_version=$(echo | openssl s_client -servername $host -connect $host:$port 2>/dev/null | \                  grep "Protocol" | awk '{print $3}')
    echo "Host: $host"    echo "Expiry: $expiry"    echo "TLS Version: $tls_version"
    # Check if certificate expires within 30 days    expiry_epoch=$(date -d "$expiry" +%s)    current_epoch=$(date +%s)    days_left=$(( ($expiry_epoch - $current_epoch) / 86400 ))
    if [ $days_left -lt 30 ]; then        echo "WARNING: Certificate expires in $days_left days"    fi}
# Monitor multiple endpointscheck_certificate "app.example.com" 443check_certificate "api.example.com" 8443Automated Certificate Checking with Prometheus:
# Blackbox exporter configurationmodules:  https_2xx:    prober: http    timeout: 5s    http:      valid_status_codes: []      valid_http_versions: ["HTTP/1.1", "HTTP/2.0"]      tls_config:        insecure_skip_verify: false        min_version: "TLS12"      preferred_ip_protocol: "ip4"3. Service Monitoring → HTTP | HTTPS | TCP | SSH
Purpose: Monitor availability and responsiveness of network services.
Implementation:
#!/bin/bash# Service monitoring script
# HTTP/HTTPS monitoringcheck_http() {    local url=$1    local expected_code=${2:-200}
    response=$(curl -s -o /dev/null -w "%{http_code}" $url)    if [ "$response" == "$expected_code" ]; then        echo "OK: $url returned $response"    else        echo "ERROR: $url returned $response (expected $expected_code)"    fi}
# TCP port monitoringcheck_tcp() {    local host=$1    local port=$2
    nc -z -v -w5 $host $port &>/dev/null    if [ $? -eq 0 ]; then        echo "OK: $host:$port is reachable"    else        echo "ERROR: $host:$port is not reachable"    fi}
# SSH monitoringcheck_ssh() {    local host=$1    local port=${2:-22}
    timeout 5 ssh -o BatchMode=yes -o ConnectTimeout=5 $host exit 2>/dev/null    if [ $? -eq 0 ]; then        echo "OK: SSH to $host:$port successful"    else        echo "ERROR: SSH to $host:$port failed"    fi}
# Internal checkscheck_http "http://localhost:8080/health"check_tcp "localhost" 5432  # PostgreSQLcheck_ssh "localhost"
# External checkscheck_http "https://app.example.com"check_tcp "app.example.com" 4434. Container Health → HEALTHCHECK | Lifecycle Events
Purpose: Verify containers are running as expected and detect anomalies.
Implementation in Containerfile:
FROM alpine:latest
# Install dependenciesRUN apk add --no-cache curl
# Add healthcheckHEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \  CMD curl -f http://localhost:8080/health || exit 1
# Application setupCOPY app /appEXPOSE 8080CMD ["/app/server"]Monitoring with Podman:
#!/bin/bash# Container health monitoring script
# Check container health statuscheck_container_health() {    local container=$1
    health_status=$(podman inspect $container --format='{{.State.Health.Status}}')    case $health_status in        "healthy")            echo "OK: Container $container is healthy"            ;;        "unhealthy")            echo "ERROR: Container $container is unhealthy"            # Get last health check logs            podman inspect $container --format='{{json .State.Health.Log}}' | jq '.'            ;;        "starting")            echo "INFO: Container $container health check is starting"            ;;        *)            echo "WARNING: Container $container has no health check"            ;;    esac}
# Monitor lifecycle eventsmonitor_events() {    podman events --filter event=health_status --format json | while read line; do        container=$(echo $line | jq -r '.Actor.Attributes.name')        status=$(echo $line | jq -r '.Actor.Attributes.health_status')        timestamp=$(echo $line | jq -r '.time')
        echo "[$timestamp] Container: $container, Health: $status"
        # Alert on unhealthy containers        if [ "$status" == "unhealthy" ]; then            send_alert "Container $container is unhealthy"        fi    done}
# Check all running containersfor container in $(podman ps -q); do    check_container_health $containerdone5. Resource Metrics → CPU | Memory | Disk | Network
Purpose: Track container resource usage to prevent overconsumption and optimize performance.
Implementation:
#!/bin/bash# Resource monitoring script
# Real-time container statsmonitor_container_resources() {    local container=$1    local threshold_cpu=80    local threshold_memory=90
    # Get container stats    stats=$(podman stats --no-stream --format json $container)
    # Parse metrics    cpu_percent=$(echo $stats | jq -r '.[0].CPU' | sed 's/%//')    memory_percent=$(echo $stats | jq -r '.[0].MemPerc' | sed 's/%//')    memory_usage=$(echo $stats | jq -r '.[0].MemUsage')    net_io=$(echo $stats | jq -r '.[0].NetIO')    block_io=$(echo $stats | jq -r '.[0].BlockIO')
    echo "Container: $container"    echo "  CPU: ${cpu_percent}%"    echo "  Memory: ${memory_percent}% ($memory_usage)"    echo "  Network I/O: $net_io"    echo "  Block I/O: $block_io"
    # Alert on high usage    if (( $(echo "$cpu_percent > $threshold_cpu" | bc -l) )); then        echo "WARNING: CPU usage above threshold"    fi
    if (( $(echo "$memory_percent > $threshold_memory" | bc -l) )); then        echo "WARNING: Memory usage above threshold"    fi}
# Check storage usagecheck_storage() {    # Container storage    podman system df
    # Image storage    echo "Image Storage:"    podman image ls --format "table {{.Repository}}:{{.Tag}}\t{{.Size}}"
    # Volume storage    echo "Volume Storage:"    podman volume ls --format "table {{.Name}}\t{{.Driver}}\t{{.Scope}}"}
# Monitor all containersfor container in $(podman ps --format "{{.Names}}"); do    monitor_container_resources $containerdone
check_storagePrometheus Integration:
# cAdvisor alternative for Podman- job_name: "podman"  static_configs:    - targets: ["localhost:9090"]  metric_relabel_configs:    - source_labels: [__name__]      regex: "container_.*"      action: keep6. Logs & Auditing → Container Logs | Audit Trails
Purpose: Collect and analyze logs for troubleshooting and compliance.
Implementation with Centralized Logging:
# Fluentd configuration for container logs<source>@type forwardport 24224bind 0.0.0.0</source>
<filter docker.**>@type parserkey_name logformat jsonreserve_data true</filter>
<match docker.**>@type elasticsearchhost elasticsearchport 9200logstash_format truelogstash_prefix container<buffer>@type filepath /var/log/fluentd-buffers/containers.bufferflush_mode intervalflush_interval 10s</buffer></match>Container Logging Configuration:
# Configure container loggingpodman run -d \  --name myapp \  --log-driver=journald \  --log-opt tag="{{.Name}}/{{.ID}}" \  --log-opt labels=app,version \  myapp:latest
# Audit trail for container eventssetup_audit() {    # Enable podman event logging    cat > /etc/containers/containers.conf.d/logging.conf << EOF[engine]events_logger = "journald"events_log_file_path = "/var/log/podman-events.log"EOF
    # Configure audit rules    cat > /etc/audit/rules.d/containers.rules << EOF-w /var/lib/containers -p wa -k container_changes-w /etc/containers -p wa -k container_config-w /usr/bin/podman -p x -k container_execEOF
    # Reload audit rules    augenrules --load}7. Network Performance → Latency | Packet Loss | Throughput
Purpose: Ensure reliable and fast network connectivity.
Implementation:
#!/bin/bash# Network performance monitoring
# Monitor container network performancecheck_container_network() {    local container=$1    local target=$2
    # Get container PID    pid=$(podman inspect -f '{{.State.Pid}}' $container)
    # Enter container network namespace    nsenter -t $pid -n ping -c 10 -i 0.2 $target > /tmp/ping_results.txt
    # Parse results    packet_loss=$(grep "packet loss" /tmp/ping_results.txt | awk -F',' '{print $3}' | awk '{print $1}')    avg_latency=$(grep "rtt min/avg/max" /tmp/ping_results.txt | awk -F'/' '{print $5}')
    echo "Container: $container -> $target"    echo "  Packet Loss: $packet_loss"    echo "  Average Latency: ${avg_latency}ms"
    # Throughput test using iperf3    if command -v iperf3 &> /dev/null; then        nsenter -t $pid -n iperf3 -c $target -t 10 -J > /tmp/iperf_results.json        throughput=$(jq -r '.end.sum_sent.bits_per_second' /tmp/iperf_results.json)        throughput_mbps=$(echo "scale=2; $throughput / 1000000" | bc)        echo "  Throughput: ${throughput_mbps} Mbps"    fi}
# Monitor CNI plugin metricsmonitor_cni() {    # Check bridge networks    podman network ls --format "table {{.Name}}\t{{.Driver}}\t{{.Subnets}}"
    # Inspect network details    for network in $(podman network ls -q); do        echo "Network: $network"        podman network inspect $network | jq '.[] | {name: .name, driver: .driver, subnets: .subnets}'    done}8. Security & Compliance → Vulnerability Scanning | Policy Checks
Purpose: Maintain a secure environment with trustworthy images and certificates.
Implementation:
#!/bin/bash# Security and compliance monitoring
# Vulnerability scanning with Trivyscan_container_image() {    local image=$1
    echo "Scanning image: $image"    trivy image --severity HIGH,CRITICAL --format json $image > /tmp/scan_results.json
    # Parse results    high_vulns=$(jq '[.Results[].Vulnerabilities[] | select(.Severity=="HIGH")] | length' /tmp/scan_results.json)    critical_vulns=$(jq '[.Results[].Vulnerabilities[] | select(.Severity=="CRITICAL")] | length' /tmp/scan_results.json)
    echo "  Critical vulnerabilities: $critical_vulns"    echo "  High vulnerabilities: $high_vulns"
    if [ $critical_vulns -gt 0 ]; then        echo "ERROR: Critical vulnerabilities found!"        jq '.Results[].Vulnerabilities[] | select(.Severity=="CRITICAL") | {id: .VulnerabilityID, package: .PkgName, severity: .Severity}' /tmp/scan_results.json    fi}
# Policy compliance checkscheck_security_policies() {    echo "Checking security policies..."
    # Check for running containers as root    echo "Containers running as root:"    podman ps --format json | jq -r '.[] | select(.User == "root") | .Names'
    # Check for containers with privileged access    echo "Privileged containers:"    podman ps --format json | jq -r '.[] | select(.IsPrivileged == true) | .Names'
    # Check image signatures    echo "Unsigned images:"    for image in $(podman image ls -q); do        if ! podman image trust show $image &>/dev/null; then            echo "  - $image"        fi    done
    # Certificate expiry monitoring    echo "Certificate expiry check:"    find /etc/containers/certs.d -name "*.crt" -type f | while read cert; do        expiry=$(openssl x509 -enddate -noout -in "$cert" | cut -d= -f2)        expiry_epoch=$(date -d "$expiry" +%s)        current_epoch=$(date +%s)        days_left=$(( ($expiry_epoch - $current_epoch) / 86400 ))
        if [ $days_left -lt 30 ]; then            echo "  WARNING: $cert expires in $days_left days"        fi    done}
# Scan all running container imagesfor image in $(podman ps --format "{{.Image}}" | sort -u); do    scan_container_image $imagedone
check_security_policies9. Pod-Level Monitoring → Aggregated Health | Resource Usage
Purpose: Monitor overall health and resource consumption of pod groups.
Implementation:
#!/bin/bash# Pod-level monitoring
# Monitor pod healthmonitor_pod() {    local pod=$1
    echo "Pod: $pod"
    # Get pod status    pod_status=$(podman pod inspect $pod --format json | jq -r '.[0].State')    echo "  Status: $pod_status"
    # Get containers in pod    containers=$(podman pod inspect $pod --format json | jq -r '.[0].Containers[].Name')
    # Aggregate resource usage    total_cpu=0    total_memory=0    unhealthy_count=0
    for container in $containers; do        # Get container stats        stats=$(podman stats --no-stream --format json $container 2>/dev/null)        if [ $? -eq 0 ]; then            cpu=$(echo $stats | jq -r '.[0].CPU' | sed 's/%//')            memory=$(echo $stats | jq -r '.[0].MemPerc' | sed 's/%//')
            total_cpu=$(echo "$total_cpu + $cpu" | bc)            total_memory=$(echo "$total_memory + $memory" | bc)
            # Check health            health=$(podman inspect $container --format='{{.State.Health.Status}}' 2>/dev/null)            if [ "$health" == "unhealthy" ]; then                ((unhealthy_count++))            fi        fi    done
    echo "  Total CPU Usage: ${total_cpu}%"    echo "  Total Memory Usage: ${total_memory}%"    echo "  Unhealthy Containers: $unhealthy_count"
    # Generate Kubernetes-compatible YAML for documentation    podman generate kube $pod > /tmp/${pod}_kube.yaml    echo "  Kubernetes YAML generated: /tmp/${pod}_kube.yaml"}
# Create pod with monitoringcreate_monitored_pod() {    local pod_name=$1
    # Create pod    podman pod create --name $pod_name \        --label monitoring=enabled \        --label environment=production
    # Add containers to pod    podman run -d --pod $pod_name \        --name ${pod_name}-app \        --health-cmd="curl -f http://localhost:8080/health || exit 1" \        --health-interval=30s \        myapp:latest
    podman run -d --pod $pod_name \        --name ${pod_name}-sidecar \        --health-cmd="nc -z localhost 9090 || exit 1" \        --health-interval=30s \        monitoring-sidecar:latest}
# Monitor all podsfor pod in $(podman pod ls -q); do    monitor_pod $poddone10. Host Metrics → System CPU | Memory | Disk | Network
Purpose: Correlate container performance with host resource usage.
Implementation:
#!/bin/bash# Host metrics monitoring
# Comprehensive host monitoringmonitor_host_metrics() {    echo "=== Host System Metrics ==="
    # CPU metrics    echo "CPU Usage:"    top -bn1 | grep "Cpu(s)" | awk '{print "  User: " $2 "%, System: " $4 "%, Idle: " $8 "%"}'
    # Memory metrics    echo "Memory Usage:"    free -h | awk '/^Mem:/ {print "  Total: " $2 ", Used: " $3 ", Free: " $4 ", Available: " $7}'
    # Disk metrics    echo "Disk Usage:"    df -h | grep -E "^/dev/" | awk '{print "  " $1 ": " $5 " used (" $3 "/" $2 ")"}'
    # Container storage specific    echo "Container Storage:"    podman system df
    # Network metrics    echo "Network Usage:"    for interface in $(ip -o link show | awk -F': ' '{print $2}' | grep -v lo); do        rx_bytes=$(cat /sys/class/net/$interface/statistics/rx_bytes)        tx_bytes=$(cat /sys/class/net/$interface/statistics/tx_bytes)        rx_mb=$(echo "scale=2; $rx_bytes / 1024 / 1024" | bc)        tx_mb=$(echo "scale=2; $tx_bytes / 1024 / 1024" | bc)        echo "  $interface: RX: ${rx_mb}MB, TX: ${tx_mb}MB"    done
    # Load average    echo "Load Average:"    uptime | awk -F'load average:' '{print "  " $2}'}
# Correlate with container metricscorrelate_metrics() {    # Get total container resource usage    container_cpu=$(podman stats --no-stream --format "{{.CPU}}" | sed 's/%//g' | awk '{sum+=$1} END {print sum}')    container_memory=$(podman stats --no-stream --format "{{.MemPerc}}" | sed 's/%//g' | awk '{sum+=$1} END {print sum}')
    # Get host usage    host_cpu=$(top -bn1 | grep "Cpu(s)" | awk '{print 100 - $8}' | sed 's/%,//')    host_memory=$(free | awk '/^Mem:/ {print ($3/$2) * 100}')
    echo "=== Resource Correlation ==="    echo "Container CPU Usage: ${container_cpu}%"    echo "Host CPU Usage: ${host_cpu}%"    echo "Container Memory Usage: ${container_memory}%"    echo "Host Memory Usage: ${host_memory}%"
    # Calculate overhead    cpu_overhead=$(echo "scale=2; $host_cpu - $container_cpu" | bc)    memory_overhead=$(echo "scale=2; $host_memory - $container_memory" | bc)
    echo "System Overhead:"    echo "  CPU: ${cpu_overhead}%"    echo "  Memory: ${memory_overhead}%"}
# Prometheus node exporter integrationsetup_node_exporter() {    # Run node exporter in container    podman run -d \        --name node-exporter \        --net host \        --pid host \        --volume /:/host:ro,rslave \        quay.io/prometheus/node-exporter:latest \        --path.rootfs=/host}
monitor_host_metricscorrelate_metricsIntegration with Monitoring Stack
Complete Monitoring Stack Setup
# docker-compose.yml for monitoring stackversion: "3.8"
services:  prometheus:    image: prom/prometheus:latest    volumes:      - ./prometheus.yml:/etc/prometheus/prometheus.yml      - prometheus-data:/prometheus    ports:      - "9090:9090"    command:      - "--config.file=/etc/prometheus/prometheus.yml"      - "--storage.tsdb.path=/prometheus"
  grafana:    image: grafana/grafana:latest    volumes:      - grafana-data:/var/lib/grafana      - ./grafana/dashboards:/etc/grafana/provisioning/dashboards      - ./grafana/datasources:/etc/grafana/provisioning/datasources    environment:      - GF_SECURITY_ADMIN_PASSWORD=admin      - GF_USERS_ALLOW_SIGN_UP=false    ports:      - "3000:3000"
  alertmanager:    image: prom/alertmanager:latest    volumes:      - ./alertmanager.yml:/etc/alertmanager/alertmanager.yml      - alertmanager-data:/alertmanager    ports:      - "9093:9093"
  blackbox-exporter:    image: prom/blackbox-exporter:latest    volumes:      - ./blackbox.yml:/config/blackbox.yml    ports:      - "9115:9115"    command:      - "--config.file=/config/blackbox.yml"
  loki:    image: grafana/loki:latest    volumes:      - ./loki-config.yml:/etc/loki/local-config.yaml      - loki-data:/loki    ports:      - "3100:3100"    command: -config.file=/etc/loki/local-config.yaml
  promtail:    image: grafana/promtail:latest    volumes:      - ./promtail-config.yml:/etc/promtail/config.yml      - /var/log:/var/log:ro      - /var/lib/containers:/var/lib/containers:ro    command: -config.file=/etc/promtail/config.yml
volumes:  prometheus-data:  grafana-data:  alertmanager-data:  loki-data:Prometheus Configuration
global:  scrape_interval: 15s  evaluation_interval: 15s
alerting:  alertmanagers:    - static_configs:        - targets: ["alertmanager:9093"]
rule_files:  - "alerts/*.yml"
scrape_configs:  # DNS monitoring  - job_name: "blackbox_dns"    metrics_path: /probe    params:      module: [dns]    static_configs:      - targets:          - app.example.com          - api.example.com    relabel_configs:      - source_labels: [__address__]        target_label: __param_target      - source_labels: [__param_target]        target_label: instance      - target_label: __address__        replacement: blackbox-exporter:9115
  # Certificate monitoring  - job_name: "blackbox_https"    metrics_path: /probe    params:      module: [https_2xx]    static_configs:      - targets:          - https://app.example.com          - https://api.example.com    relabel_configs:      - source_labels: [__address__]        target_label: __param_target      - source_labels: [__param_target]        target_label: instance      - target_label: __address__        replacement: blackbox-exporter:9115
  # Node exporter  - job_name: "node"    static_configs:      - targets: ["node-exporter:9100"]
  # Container metrics (using cAdvisor alternative)  - job_name: "containers"    static_configs:      - targets: ["podman-exporter:9882"]Alert Rules
groups:  - name: container_alerts    rules:      - alert: ContainerDown        expr: up{job="containers"} == 0        for: 5m        labels:          severity: critical        annotations:          summary: "Container {{ $labels.instance }} is down"          description: "Container {{ $labels.instance }} has been down for more than 5 minutes."
      - alert: ContainerHighCPU        expr: container_cpu_usage_seconds_total > 0.8        for: 10m        labels:          severity: warning        annotations:          summary: "Container {{ $labels.container_name }} high CPU usage"          description: "Container {{ $labels.container_name }} CPU usage is above 80% for 10 minutes."
      - alert: ContainerHighMemory        expr: container_memory_usage_bytes / container_spec_memory_limit_bytes > 0.9        for: 10m        labels:          severity: warning        annotations:          summary: "Container {{ $labels.container_name }} high memory usage"          description: "Container {{ $labels.container_name }} memory usage is above 90% for 10 minutes."
      - alert: CertificateExpiringSoon        expr: probe_ssl_earliest_cert_expiry - time() < 30 * 24 * 3600        for: 24h        labels:          severity: warning        annotations:          summary: "Certificate expiring soon for {{ $labels.instance }}"          description: "Certificate for {{ $labels.instance }} expires in less than 30 days."
      - alert: ServiceDown        expr: probe_success == 0        for: 5m        labels:          severity: critical        annotations:          summary: "Service {{ $labels.instance }} is down"          description: "Service {{ $labels.instance }} has been unreachable for 5 minutes."Implementation Best Practices
1. Automation
- Use configuration management tools (Ansible, Puppet)
 - Implement Infrastructure as Code (IaC)
 - Automate alert response where possible
 - Schedule regular health checks
 
2. Scalability
- Design monitoring to scale with infrastructure
 - Use service discovery for dynamic environments
 - Implement proper data retention policies
 - Consider federation for large deployments
 
3. Security
- Encrypt monitoring data in transit
 - Implement access controls
 - Audit monitoring system access
 - Secure sensitive configuration data
 
4. Performance
- Optimize metric collection intervals
 - Use appropriate storage backends
 - Implement metric aggregation
 - Monitor the monitoring system itself
 
5. Documentation
- Document all custom metrics
 - Maintain runbooks for alerts
 - Keep architecture diagrams updated
 - Document troubleshooting procedures
 
Troubleshooting Guide
Common Issues and Solutions
High Resource Usage by Monitoring
# Check Prometheus memory usagecurl -s http://localhost:9090/api/v1/query?query=prometheus_tsdb_symbol_table_size_bytes | jq .
# Optimize retention# In prometheus.ymlstorage:  tsdb:    retention.time: 15d    retention.size: 10GBMissing Metrics
# Verify exporters are runningpodman ps | grep exporter
# Check Prometheus targetscurl http://localhost:9090/api/v1/targets | jq .
# Test metric endpoint directlycurl http://localhost:9882/metrics | grep container_Alert Fatigue
- Review and tune alert thresholds
 - Implement alert grouping
 - Use inhibition rules
 - Create alert priorities
 
Conclusion
This comprehensive Invinsense monitoring plan provides end-to-end observability for containerized environments. By implementing these monitoring layers and integrating them with modern monitoring tools like Prometheus, Grafana, and Loki, organizations can maintain reliable, secure, and performant container deployments.
The key to successful monitoring is not just collecting metrics, but understanding what they mean, setting appropriate thresholds, and taking action based on the insights gained. Regular review and refinement of monitoring strategies ensure they remain effective as infrastructure evolves.
Remember to adapt this plan to your specific requirements, scale, and compliance needs. Monitoring is not a one-size-fits-all solution, and the best monitoring strategy is one that provides the right visibility at the right time to maintain system reliability and security.