Example PromQL Queries for Apinizer Cache

Provides example PromQL queries that can be used to analyze Apinizer Cache metrics. Includes ready query examples in different categories such as cache performance, API analyses, JVM metrics, and system resource usage. These queries enable monitoring and analyzing Cache performance when used in Grafana dashboards or Prometheus Query UI.

Example PromQL Queries for Apinizer Cache

Cache Analyses

Metrics used to monitor cache usage and efficiency. Performance is evaluated with data such as cache lookups, additions, and memory consumption.

1. Total Cache Lookup Count (for 1 hour)

sum(increase(cache_gets_total[1h]))

2. Cache Addition Count (for 10 minutes)

sum(increase(cache_puts_total[10m]))

3. Cache Hit Rate (%) (for 5 minutes)

(sum(increase(cache_gets_total[5m])) - sum(increase(apinizer_cache_api_errors_total[5m]))) / sum(increase(cache_gets_total[5m])) * 100

4. Current Number of Entries in Cache

sum(cache_size)

5. Cache Features with Highest Memory Usage

topk(5, sum by (cache) (cache_entry_memory_bytes))

Cache API Analyses

Used to monitor Cache API request performance. The system’s ability to respond is analyzed with data such as API request count and success rate.

1. Total API Request Count (for 1 hour)

sum(increase(apinizer_cache_api_requests_total[1h]))

2. API Success Rate (%) (for 10 minutes)

(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

JVM Analyses

Evaluates application resource consumption and performance by monitoring JVM memory usage, GC (Garbage Collector) pause times, and thread count.

1. Memory Usage Percentage

(sum(jvm_memory_used_bytes{application="apinizer-cache"}) * 100) / sum(jvm_memory_max_bytes{application="apinizer-cache"})

2. Garbage Collection Duration (for 5 minutes)

sum(rate(jvm_gc_pause_seconds_sum{application="apinizer-cache"}[5m]))

3. Current Number of Live Threads

sum(jvm_threads_live_threads{application="apinizer-cache"})

System Analyses

Monitors overall resource usage and performance with data such as system CPU usage, process duration, and open file descriptor counts.

1. Pod CPU Usage

sum(rate(container_cpu_usage_seconds_total{namespace="apinizer"}[5m])) by (pod) * 100

2. JVM Process Duration (seconds)

sum(process_uptime_seconds)

3. Open File Descriptor Count

sum(process_files_open_files{application="apinizer-cache"})