Infrastructure Monitoring & Observability
Service Type: Monitoring & Observability - CREATE Services
Overview
Complete visibility into infrastructure and applications. Prometheus metrics, Grafana dashboards, ELK log aggregation, and distributed tracing. Sub-second alerting with intelligent escalation. Know what's happening before your users do.
Three Pillars of Observability
Metrics for Quantitative Measurement
- Prometheus: Time-series metrics collection and storage
- Configurable Intervals: Flexible scraping schedules
- Historical Analysis: Long-term performance trending
- Alert Thresholds: Automated anomaly detection
Logs for Detailed Event Data
- ELK Stack: Elasticsearch, Logstash, Kibana for log aggregation
- Full-Text Search: Pattern analysis across services
- Centralised Visibility: Single interface for all logs
- Compliance Tracking: Audit trail generation
Distributed Traces for Request Flow Visibility
- OpenTelemetry: Vendor-neutral instrumentation
- Jaeger: Request path visualisation
- Service Dependencies: Complete request flow tracking
- Microservices Debugging: Multi-service performance analysis
Complete Observability Stack
Prometheus for Metrics Collection
- Industry Standard: Time-series database for infrastructure metrics
- Scrape Configuration: Customisable collection intervals
- Alerting Rules: Threshold-based alerts with context
- Data Retention: Configurable storage policies
- Multi-Component Support: Infrastructure, applications, custom metrics
Grafana for Visualisation
- 400+ Integrations: Prometheus, Elasticsearch, Loki, and more
- Custom Dashboards: Role-specific views (executives, operations, developers)
- Rich Charts: Appropriate visualisation for different data types
- Drill-Down Capabilities: Investigation tools for deeper analysis
- Alerting Integration: Visual representation of alert thresholds
ELK Stack for Log Aggregation
- Elasticsearch: Distributed full-text searchable log index
- Logstash: Raw log processing and enrichment
- Kibana: Powerful query interface
- Structured Logging: Extracted data fields for analysis
- Retention Policies: Storage cost optimisation
Application Performance Monitoring (APM)
Modern application visibility across service boundaries with distributed tracing.
OpenTelemetry Instrumentation
- Vendor-Neutral: Not locked to specific APM vendor
- Automatic Instrumentation: Framework-level capture without code changes
- Database Query Tracking: SQL and cache operation visibility
- HTTP Request Tracking: External API call monitoring
- Complete Request Path: Load balancer through application to databases
PHP Application Monitoring
- Framework Instrumentation: Laravel, Symfony automatic capture
- Database Query Tracking: SQL execution time and query analysis
- Cache Operations: Redis, Memcached, and file cache monitoring
- Queue Worker Monitoring: Background job processing visibility
- External API Calls: Third-party service integration tracking
Distributed Trace Visualisation
- Jaeger Traces: Request flow across microservices
- Performance Bottleneck Identification: Exactly where delays occur
- Service Dependencies: Complete architecture visibility
- Incident Investigation: Contextual performance data
Real-Time Alerting
Intelligent threshold-based alerts with sophisticated escalation policies.
Prometheus AlertManager
- Intelligent Thresholds: Baseline-based anomaly detection
- Historical Data: Learning normal operating patterns
- False Positive Reduction: Anomaly detection vs arbitrary thresholds
- Rich Context: Relevant metrics and dashboard links in alerts
- Sub-Second Detection: Rapid issue identification
Escalation Policies
- Priority Routing: Critical alerts reach on-call engineers immediately
- Alert Grouping: Related alerts combined to reduce noise
- Fatigue Prevention: Intelligent alert deduplication
- Calendar Integration: Team availability awareness
- Automated Response: Incident creation and assignment
Integration Capabilities
- PagerDuty: Incident management and escalation
- Slack: Team channel notifications with rich context
- Issue Tracking: Automatic ticket creation with context
- Webhook Support: Custom integration possibilities
Custom Dashboards
Dashboards combining technical metrics with business KPIs.
Technical Dashboards
- Infrastructure Health: CPU, memory, disk, network metrics
- Application Performance: Request rates, response times, error rates
- Database Performance: Query execution, connection pools, throughput
Business Dashboards
- Revenue Tracking: Order processing rates vs infrastructure load
- User Experience: Conversion rates alongside API response times
- Service Level: Business KPI correlation with technical performance
Role-Specific Views
- Executive Dashboards: Business metrics and availability
- Operations Teams: Infrastructure health and resource utilisation
- Developers: Application performance and error tracking
Log Aggregation & Analysis
Centralised log collection transforming scattered logs into searchable data.
Log Collection
- Rsyslog Integration: Structured logging across servers
- Multi-Source Capture: Applications, databases, load balancers, containers
- Log Enrichment: Metadata addition (correlation IDs, service names)
- Structured Parsing: Extraction of queryable fields
Log Storage & Search
- Elasticsearch Indexing: Full-text searchable log repository
- Distributed Storage: Petabyte-scale log retention capability
- Query Interface: Kibana powerful search capabilities
- Pattern Detection: Cross-service error identification
- User Journey Tracking: Complete request flow across services
Log Retention
- Cost Optimisation: Tiered storage strategies
- Compliance Needs: Historical data retention for audits
- Incident Investigation: Access to historical logs during analysis
- Trend Analysis: Performance degradation over time
Metric Retention & Trend Analysis
Long-term storage enabling strategic analysis beyond short-term monitoring.
Thanos for Long-Term Storage
- Cost-Effective Archiving: Compressed historical metric storage
- Years of History: Historical data for capacity planning
- Query Performance: Maintained speed despite large retention
- Data Sampling: High-resolution recent data with older metric sampling
Trend Analysis
- Seasonal Patterns: Traffic patterns across months and years
- Gradual Degradation: Slow-moving performance issues
- Capacity Planning: Reference actual usage vs projections
- Change Impact: Long-term effects of architectural changes
Infrastructure Archaeology
- Historical Analysis: Performance baseline comparison
- Root Cause Analysis: Past incidents and resolution effectiveness
- Resource Utilisation: Actual demand patterns vs projections
SLA Monitoring & Reporting
Automated compliance tracking replacing manual SLA management.
Compliance Tracking
- Continuous Monitoring: Real-time uptime and response time tracking
- Automated Reporting: SLA compliance without manual data collection
- Violation Alerts: Performance trending towards violations
- Preventive Action: Notification before SLA breaches
Regulatory Reporting
- Immutable Audit Logs: Compliance-ready evidence
- Automated Generation: Regulatory report creation without manual effort
- Evidence Collection: Continuous control effectiveness tracking
- Compliance Verification: Demonstrate contractual SLA compliance
Alerting Integration
Monitoring systems integrated with team communication and incident tools.
PagerDuty Integration
- Incident Management: Automated incident creation and escalation
- On-Call Scheduling: Calendar-aware responder assignment
- Escalation Workflows: Multi-level alert handling
- Context Addition: Metrics and deployment history in incidents
- Latest Releases: 150+ customer-driven feature enhancements
Slack Integration
- Team Notifications: Incident visibility across teams
- Rich Context: Relevant metrics and dashboard links
- Collaborative Response: Discussion threads for incident resolution
- Deployment Tracking: Release notifications and status updates
Issue Tracking Integration
- Automatic Ticket Creation: Incidents create tracking tickets
- Pattern Identification: Related issues grouped for analysis
- Follow-Up Tracking: Preventive improvements documented
Benefits
Complete Visibility
- 100% Stack Visibility: Infrastructure, applications, and business metrics
- Unified Dashboards: Single-pane-of-glass infrastructure view
- No Blind Spots: Comprehensive monitoring across all systems
Proactive Problem Detection
- Intelligent Alerting: Anomaly detection with reduced false positives
- Sub-Second Latency: Rapid issue identification before user impact
- Automated Thresholds: Baseline-based alerting vs static values
Performance Insights
- Bottleneck Identification: Exact location of performance issues
- Slow Query Detection: Database performance analysis
- Code Inefficiency: Application-level performance problems
- Millisecond Precision: Detailed performance metrics
Faster Incident Resolution
- Distributed Tracing: Root cause analysis across microservices
- Correlated Logs: Request-specific log data for investigation
- Historical Context: Previous similar incidents and resolutions
- 80% Faster Resolution: Reduced MTTR through focused investigation
Implementation Approach
Observability Audit
- Current monitoring assessment
- Gap identification
- Metrics, logs, and traces planning
Stack Implementation
- Prometheus deployment for metrics
- Grafana configuration for visualisation
- ELK Stack setup for log aggregation
- APM agent installation
Dashboard Design
- Business metric dashboard creation
- Infrastructure health dashboards
- Role-specific views for different audiences
- Custom queries for specific use cases
Alerting Configuration
- Intelligent threshold setting
- Escalation policy definition
- Integration with team tools
- Alert fatigue reduction
Integration & Testing
- PagerDuty and Slack connectivity
- Alerting workflow validation
- Dashboard accuracy verification
- End-to-end testing
Team Training
- Dashboard usage and interpretation
- Alert response procedures
- Incident response playbooks
- Performance optimisation techniques