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Stack Comparison

This section evaluates three centralized logging stacks for HA, on-premise Kubernetes infrastructure:

  • Grafana Loki Stack (with Promtail or Fluent Bit)
  • ELK Stack (Elasticsearch + Logstash + Kibana)
  • Graylog Stack (Graylog + MongoDB + Elasticsearch)

Each stack is reviewed based on high availability, Kubernetes compatibility, resource usage, scalability, storage, and operational complexity.


๐Ÿ“Š Comparison Tableโ€‹

Feature / StackGrafana Loki StackELK StackGraylog Stack
Kubernetes Nativeโœ… Helm charts, Promtail as DaemonSetโš ๏ธ Complex, Logstash not nativeโŒ Mostly manual setup
HA Supportโœ… StatefulSet ingesters, no SPOFโœ… Multi-node ES, Logstash HA possibleโš ๏ธ MongoDB & Graylog bottlenecks
Log Format Supportโœ… JSON, Labels (prometheus-style)โœ… JSON & full-text searchโœ… JSON, syslog, GELF
Storage Backendโœ… S3/MinIO, PVC supportedโœ… PVC, NFS, CephFSโœ… PVC, NFS, CephFS
Scalabilityโœ… Horizontal scaling via microservicesโœ… High but resource-heavyโš ๏ธ Limited, not for large scale
Resource Usageโšก Lightweight (no indexing)๐Ÿ”ฅ Very high (ES + Logstash)โš ๏ธ High (ES + MongoDB + Graylog)
VisualizationGrafanaKibanaGraylog UI
AlertingGrafana AlertingWatcher / ElastAlert / OpenSearchGraylog Alerts
Deployment Simplicityโœ… Helm-native, fast to deployโš ๏ธ Needs tuning, complex pipelineโŒ More manual configuration
Community & DocsLarge (Grafana ecosystem)Mature, extensiveNiche but active

๐Ÿ Summary of Evaluationโ€‹

๐Ÿ”ท Grafana Loki Stackโ€‹

  • Pros:
    • Kubernetes-native and lightweight
    • Optimized for structured logs (labels, JSON)
    • Easy to deploy with Helm
    • Scales well for most use cases
  • Cons:
    • Not designed for full-text log search
    • Depends on external storage (S3/MinIO)

๐Ÿ”ท ELK Stackโ€‹

  • Pros:
    • Powerful full-text search
    • Rich ecosystem (Logstash filters, Beats agents)
    • Battle-tested in production environments
  • Cons:
    • Very heavy on resources (CPU, RAM, disk)
    • Logstash configuration can be complex
    • Needs more tuning for HA in Kubernetes

๐Ÿ”ท Graylog Stackโ€‹

  • Pros:
    • Good built-in UI for filtering and alerting
    • Suitable for syslog-based or security-focused use cases
  • Cons:
    • HA requires MongoDB replica setup
    • Less Kubernetes-native
    • Less community adoption in cloud-native setups

Based on the criteria above, the Grafana Loki Stack is recommended for on-premise Kubernetes deployments due to its simplicity, HA readiness, Kubernetes-native architecture, and lightweight performance.


๐Ÿงช Next Stepโ€‹

We will proceed by designing a Highly Available Loki Stack architecture and preparing its Helm-based deployment plan with MinIO as storage.