Visualization and monitoring solutions
Visualization and monitoring solutions
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Monitor WSO2 Streaming Integrator
Monitor WSO2 Streaming Integrator easily with Grafana
Easily monitor WSO2 Streaming Integrator, which allows you to implement streaming ETL, change data capture (CDC), and process large files and real-time APIs, with Grafana Cloud’s out-of-the-box monitoring solution. The Grafana Cloud forever-free tier includes 3 users and up to 10k metrics series to support your monitoring needs.
Key metrics included
jvm_class_loading_loaded_current
jvm_class_loading_loaded_total
jvm_class_loading_unloaded_total
jvm_memory_heap_max
jvm_memory_heap_usage
jvm_memory_heap_used
jvm_os_cpu_load_process
jvm_os_cpu_load_system
jvm_os_file_descriptor_open_count
jvm_os_physical_memory_free_size
jvm_os_physical_memory_total_size
jvm_os_swap_space_free_size
jvm_os_swap_space_total_size
jvm_os_system_load_average
jvm_threads_blocked_count
jvm_threads_count
jvm_threads_daemon_count
siddhi_aggregation_latency
siddhi_aggregation_memory
siddhi_aggregation_throughput_total
siddhi_cdc_source_listening_mode_db_status
siddhi_cdc_source_listening_mode_event_count
siddhi_cdc_source_listening_mode_events_per_table
siddhi_cdc_source_listening_mode_idle_time
siddhi_cdc_source_listening_mode_last_receive_time
siddhi_cdc_source_listening_mode_total_error_count
siddhi_cdc_source_listening_mode_total_valid_events_count
siddhi_cdc_source_polling_mode_db_status
siddhi_cdc_source_polling_mode_event_count
siddhi_cdc_source_polling_mode_events_in_last_polling_interval
siddhi_cdc_source_polling_mode_idle_time
siddhi_cdc_source_polling_mode_last_receive_time
siddhi_cdc_source_polling_mode_total_error_count
siddhi_cdc_source_polling_mode_total_valid_events_count
siddhi_file_sink_dropped_events
siddhi_file_sink_elapsed_time
siddhi_file_sink_event_count
siddhi_file_sink_file_size
siddhi_file_sink_file_status
siddhi_file_sink_lines_count
siddhi_file_sink_total_error_count
siddhi_file_source_elapse_time
siddhi_file_source_error_count
siddhi_file_source_event_count
siddhi_file_source_file_size
siddhi_file_source_file_status
siddhi_file_source_started_time
siddhi_file_source_total_valid_events_count
siddhi_http_sink_average_latency
siddhi_http_sink_error_count
siddhi_http_sink_event_count
siddhi_http_sink_request_size
siddhi_http_sink_status
siddhi_http_source_error_count
siddhi_http_source_event_count
siddhi_http_source_request_size
siddhi_http_source_status
siddhi_kafka_sink_current_offset
siddhi_kafka_sink_error_count
siddhi_kafka_sink_error_count_per_stream
siddhi_kafka_sink_per_stream_last_message_latency_in_millis
siddhi_kafka_sink_per_stream_last_message_published_at
siddhi_kafka_sink_per_stream_last_message_size_in_bytes
siddhi_kafka_sink_write_count_per_stream
siddhi_kafka_source_error_count_per_stream
siddhi_kafka_source_per_stream_last_message_consumed_at
siddhi_kafka_source_per_stream_with_partition_consumer_lag
siddhi_kafka_source_per_topic_total_valid_events_count
siddhi_kafka_source_read_count_per_stream
siddhi_ondemandquery_latency
siddhi_query_latency
siddhi_query_memory
siddhi_sink_throughput_total
siddhi_sinkmapper_latency
siddhi_source_throughput_total
siddhi_sourcemapper_latency
siddhi_store_rdbms_db_status
siddhi_store_rdbms_idle_time
siddhi_store_rdbms_last_change_time
siddhi_store_rdbms_processing_time
siddhi_store_rdbms_total_error_count
siddhi_store_rdbms_total_writes
siddhi_stream_throughput_total
siddhi_table_latency
siddhi_table_throughput_total
siddhi_total_reads
siddhi_total_writes
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