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Chapter 15: Observability and Self-Healing Systems

Monitor, debug, and adapt your search platform using metrics and automated recovery.

Chapter Overview​

Operating search at scale requires deep visibility into system behavior and the ability to respond to issues automatically. This chapter covers the observability stack (metrics, tracing, and logs) along with self-healing patterns that keep systems running.

Building observable, self-healing systems is essential for maintaining reliability as your search infrastructure grows.

15.1 Metrics and Dashboards​

15.1.1 QPS, p99 latency, cache hit rates

15.1.2 Refresh, flush, and latency statistics

15.2 Tracing and Logs​

15.2.1 Query tracing and sampling

15.2.2 Indexing path analysis

15.2.3 Slow query logs and heatmaps

15.3 Self-Healing Patterns​

15.3.1 Hot shard detection

15.3.2 Adaptive throttling

15.3.3 Auto-restart and reroute

Examples​

Examples coming soon.

Code examples for this chapter will demonstrate metrics collection, query tracing, and self-healing configuration with Lucenia.