Example PromQL Queries for Apinizer Cache

Below are sample PromQL queries that you can use to analyze Apinizer Cache metrics.

Cache Analytics

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

1. Total Number of Cache Searches (for 1 hour)

sum(increase(cache_gets_total[1h]))

2. Number of Cache Inserts (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. Number of Available Entries in the Cache

sum(cache_size)

5. Cache Features with Highest Memory Utilization

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

Cache API Analysis

Cache is used to monitor the performance of API requests. The responsiveness of the system is analyzed with data such as the number of API requests and success rate.

1. Total Number of API Requests (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 Analytics

By monitoring the JVM's memory usage, GC (Garbage Collector) pause times and the number of threads, the application's resource consumption and performance are evaluated.

1. Memory Utilization Percentage

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

2. Garbage Collection Time (for 5 minutes)

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

3. Number of Live Threads Available

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

System Analysis

Overall resource utilization and performance of the system is monitored with data such as CPU utilization, processing time and open file descriptor counts.

1. CPU Utilization of Pods

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

2. JVM Process Time (seconds)

sum(process_uptime_seconds)

3. Number of Open File Identifiers

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