![]() Set the systray icons to see the graphics of the CPU history, GPU history and Physical Memory history as you want. Now to check in "real time" the Memory usage I suggest you to use MS TechNet Sysinternals Process Explorer and set the columns to see the total CPU usage, the total GPU usage and the CPU time. What you have to check is the peak usage of memory, the % of actual usage and the total CPU time.īTW: check the CPU usage in your screen capture: 93% ! This swapping may slow down the performances but nothing else.ġ) The Virtual Memory: RAM + Pagefile.sys can be increased by adding RAM or increasing the pagefile.sys.Ģ) The unused Memory is a lost Memory If you run many applications at the time they can't run faster when there's more unused memory.ģ) The main bottleneck in performances don't comes from the lack of Memory but from the percentage of CPU / GPU usage. What you mean by "crashing"? Normally if there's too much RAM usage the system start to "swap" from the RAM to the Pagefile.sys and not "crashing". Hi don't know why Splunk Support told this, but anyway, you could use that app as a guide to find the searches to put in your own app.Īnyway I developed this dashboard, see if it could help you.Something is going to crash because I'm using too much RAM | eval hourly_avg=ROUND(hourly_avg/24, 2) | chart limit=24 avg(size_mb) AS size_mb by data_source event_hour | eval event_hour=strftime(_time, "%H:%M") | stats sum(kb) AS size_kb BY _time series ![]() Index=_internal source=*metrics.log group=per_sourcetype_thruput index=_internal sourcetype=splunkd group=tcpin_connections fwdType=full | dedup hostname | rename hostname AS host | table host] Average 24 Hourly Event Throughput in MB (Forwarder) | table _time hostname forwarder_type splunk_ver os_arch os_type tcp_kbps_avg_sparkline tcp_kbps_avg tcp_kb_total tcp_eps_avg tcp_eps_max | foreach tcp_kbps_avg tcp_kb_total tcp_eps_avg tcp_eps_max | stats max(_time) as _time, sum(kb) as tcp_kb_total, sparkline(avg(tcp_KBps), 1m) as tcp_kbps_avg_sparkline, avg(tcp_KBps) as tcp_kbps_avg, avg(tcp_eps) as tcp_eps_avg, max(tcp_eps) as tcp_eps_max by hostname forwarder_type splunk_ver os_arch os_type | rename fwdType AS forwarder_type version AS splunk_ver arch AS os_arch os AS os_type Index=_internal sourcetype=splunkd group=tcpin_connections (connectionType=cooked OR connectionType=cookedSSL) fwdType=full guid=* TCP Input Stats to Indeder by Forwarder | table splunk_server server_role cpu_arch cpu_count virtual_cpu_count cpu_idle_pct cpu_system_pct cpu_user_pct mem mem_used pg_paged_out pg_swapped_out disk_available disk_capacity disk_free fs_type mount_point os_name os_version splunk_version cluster_label ![]() | table splunk_server, server_role, cluster_label] | eval server_role=mvindex(server_roles, 0) | table splunk_server disk_available disk_capacity disk_free fs_type mount_point] | rename available AS disk_available capacity AS disk_capacity free AS disk_free [| rest /services/server/status/partitions-space | table splunk_server cpu_arch cpu_count virtual_cpu_count cpu_idle_pct cpu_system_pct cpu_user_pct mem mem_used pg_paged_out pg_swapped_out normalized_load_avg_1min runnable_process_count os_name os_name_ext os_version splunk_version | rest /services/server/status/resource-usage/hostwide Indexer and Search Head System and Hardware Utilization It should be noted that the Sleep is required, calling NextValue, then Sleeping for 500-100, then calling NextValue to get the actual value works, if you call NextValue first then use that value and continue to next process, it will always be 0 value for processor, the RAM value works regardless. Couple of searches I've saved around Indexers, Forwarders, etc.
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