Infrastructure

Managed Prometheus

Fully managed Prometheus for metrics collection, monitoring, and alerting

Enterprise-grade managed Prometheus service for metrics collection, monitoring, and alerting with long-term storage and high availability.

Overview#

  • Metrics Collection: Scrape metrics from applications and infrastructure
  • Time-Series Database: Efficient storage and querying
  • Alerting: Flexible alerting with Alertmanager
  • Visualization: Integration with Grafana
  • Long-Term Storage: Scalable metric retention

Key Features#

Metrics Collection#

  • Pull-based scraping
  • Service discovery
  • Multi-target scraping
  • Custom exporters
  • Push gateway support

High Availability#

  • Redundant Prometheus servers
  • Automatic failover
  • Data replication
  • Remote write
  • 99.99% uptime SLA

Storage#

  • Time-series database
  • Efficient compression
  • Long-term retention
  • Remote storage
  • Backup and recovery

Querying#

  • PromQL query language
  • Range queries
  • Instant queries
  • Aggregations
  • Functions

Alerting#

  • Alert rules
  • Alertmanager integration
  • Notification routing
  • Silencing
  • Inhibition

Supported Versions#

  • Prometheus 2.48
  • Prometheus 2.45
  • Prometheus 2.42

Use Cases#

Infrastructure Monitoring#

  • Server metrics
  • Container metrics
  • Kubernetes monitoring
  • Network metrics
  • Storage metrics

Application Monitoring#

  • Request rates
  • Error rates
  • Latency
  • Throughput
  • Custom metrics

Service Level Objectives#

  • SLI tracking
  • SLO monitoring
  • Error budgets
  • Availability metrics
  • Performance targets

Capacity Planning#

  • Resource utilization
  • Growth trends
  • Forecasting
  • Optimization

Getting Started#

Scrape Configuration#

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scrape_configs:
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  - job_name: 'my-app'
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    static_configs:
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      - targets: ['app1.company.com:9090']
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    metrics_path: '/metrics'
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    scrape_interval: 15s

PromQL Query#

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# Request rate
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rate(http_requests_total[5m])
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# Error rate
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rate(http_requests_total{status=~"5.."}[5m])
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# 95th percentile latency
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histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))

Alert Rule#

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groups:
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  - name: example
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    rules:
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      - alert: HighErrorRate
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        expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.05
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        for: 10m
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        labels:
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          severity: critical
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        annotations:
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          summary: High error rate detected

Architecture#

Components#

  • Prometheus Server: Metrics collection and storage
  • Alertmanager: Alert handling and routing
  • Pushgateway: Batch job metrics
  • Exporters: Metric collection agents
  • Service Discovery: Dynamic target discovery

Deployment Options#

  • Single instance
  • High availability pairs
  • Federated setup
  • Remote write
  • Thanos integration

Exporters#

Official Exporters#

  • Node Exporter (system metrics)
  • Blackbox Exporter (probing)
  • SNMP Exporter
  • MySQL Exporter
  • PostgreSQL Exporter

Third-Party Exporters#

  • Redis Exporter
  • MongoDB Exporter
  • Kafka Exporter
  • Nginx Exporter
  • HAProxy Exporter

Management Features#

Automated Operations#

  • Automatic provisioning
  • Version upgrades
  • Configuration management
  • Health monitoring
  • Backup automation

Monitoring#

  • Prometheus self-monitoring
  • Query performance
  • Storage utilization
  • Scrape success rate
  • Alert statistics

Scaling#

  • Vertical scaling
  • Horizontal federation
  • Remote storage
  • Retention tuning

Integration#

Grafana#

  • Pre-built dashboards
  • Custom visualizations
  • Alerting integration
  • Data source configuration
  • Template variables

Kubernetes#

  • Service discovery
  • Pod monitoring
  • Node monitoring
  • kube-state-metrics
  • Operator support

Alerting Channels#

  • Email
  • Slack
  • PagerDuty
  • OpsGenie
  • Webhooks

Best Practices#

Metric Design#

  • Use labels wisely
  • Avoid high cardinality
  • Consistent naming
  • Proper metric types
  • Documentation

Query Optimization#

  • Limit time ranges
  • Use recording rules
  • Avoid expensive queries
  • Cache results
  • Monitor query performance

Alerting#

  • Meaningful alerts
  • Proper thresholds
  • Alert grouping
  • Runbook links
  • Notification routing

Pricing#

Based on:

  • Metrics ingestion rate
  • Storage capacity
  • Retention period
  • Query volume
  • Support level

Support#

  • 24/7 technical support
  • Query optimization
  • Architecture consultation
  • Migration assistance

Need comprehensive monitoring? Contact us to get started.