Apinizer Cache metriklerini analiz etmek için örnek PromQL sorguları kullanabilir. Önbellek analizleri, Cache API analizleri, JVM analizleri ve sistem analizleri için hazır sorguları Prometheus ve Grafana’da kullanabilir.
sum(increase(cache_gets_total[1h]))
sum(increase(cache_puts_total[10m]))
(sum(increase(cache_gets_total[5m])) - sum(increase(apinizer_cache_api_errors_total[5m]))) / sum(increase(cache_gets_total[5m])) * 100
sum(cache_size)
topk(5, sum by (cache) (cache_entry_memory_bytes))
sum(increase(apinizer_cache_api_requests_total[1h]))
(sum(increase(apinizer_cache_api_requests_total[10m])) - sum(increase(apinizer_cache_api_errors_total[10m]))) / sum(increase(apinizer_cache_api_requests_total[10m])) * 100
(sum(jvm_memory_used_bytes{application="apinizer-cache"}) * 100) / sum(jvm_memory_max_bytes{application="apinizer-cache"})
sum(rate(jvm_gc_pause_seconds_sum{application="apinizer-cache"}[5m]))
sum(jvm_threads_live_threads{application="apinizer-cache"})
sum(rate(container_cpu_usage_seconds_total{namespace="apinizer"}[5m])) by (pod) * 100
sum(process_uptime_seconds)
sum(process_files_open_files{application="apinizer-cache"})