implementation_details|
Prometheus Configuration
Used the official kube-prometheus-stack Helm chart with custom retention, multi-cluster federation, and ServiceMonitor CRDs for application metrics.
- ▸Custom retention policies (30 days for high-priority, 7 days for standard)
- ▸Multi-cluster federation for centralized metric aggregation
- ▸ServiceMonitor CRDs for Kubernetes-native service discovery
- ▸Recording rules for pre-computed aggregations and performance
- ▸High availability setup with Thanos for long-term storage
Grafana Dashboards
Deployed via ArgoCD Helm release, using pre-baked dashboards from JSON templates stored in Git. Integrated with SSO for RBAC access.
- ▸Infrastructure monitoring dashboards for CPU, memory, and network metrics
- ▸Application performance metrics with custom business KPIs
- ▸Custom alerting rules with severity-based routing
- ▸Multi-environment views (dev, staging, production)
- ▸Role-based access control (RBAC) with OAuth integration
- ▸Dashboard versioning via GitOps workflows
Loki + Promtail
Configured via Helm, ingesting EKS container logs and storing compressed logs on S3 for long-term retention and cost optimization.
- ▸Container log ingestion from EKS pods via Promtail DaemonSet
- ▸Log compression and indexing for efficient querying
- ▸S3 backend for long-term log retention (90 days)
- ▸Label-based log filtering and routing
- ▸Integration with Grafana for unified log visualization
Jaeger Distributed Tracing
Deployed using the Jaeger Operator chart, integrated with application traces through OpenTelemetry SDK for end-to-end request visibility across microservices.
- ▸Jaeger Operator deployed via Helm chart
- ▸OpenTelemetry SDK integration in application code
- ▸Trace sampling configuration (10% for production, 100% for staging)
- ▸Service dependency mapping and performance analysis
- ▸Integration with Grafana for trace visualization
AlertManager Configuration
Set up with routing rules for severity levels, notifying Slack channels and PagerDuty for critical incidents with proper escalation policies.
- ▸Severity-based alert routing (critical, warning, info)
- ▸PagerDuty integration for on-call escalation
- ▸Slack webhook notifications for team awareness
- ▸Alert grouping and deduplication to reduce noise
- ▸Silence rules for planned maintenance windows
Results Achieved
Operational Improvements
- ✓80% MTTR Reduction - Faster incident resolution
- ✓99.9% Uptime - Proactive monitoring
- ✓50+ Dashboards - Comprehensive visibility
- ✓100+ Alerts - Automated issue detection
Business Impact
- ✓Reduced Downtime - Proactive issue detection
- ✓Improved Performance - Data-driven optimization
- ✓Better User Experience - SLA monitoring
- ✓Cost Optimization - Resource utilization insights