Gangliaã§HDD温度監視 - /var/log/soymsk
Gangliaã«ã‚«ã‚¹ã‚¿ãƒ モジュールを入れã¦HDDã®æ¸©åº¦ç›£è¦–ã‚’ã—ã¦ã¿ã‚‹ã€‚ å‰æ CentOS 7.1 Gangalia 3.7 ã‚»ã‚ュリティをé‡è¦–ã—ã¦ã„ãªã„ã®ã§ã€å®Ÿé¨“用環境ã§ã®ä½¿ç”¨ã‚’想定ã—ã¦ã„ã¾ã™ Package インストール python モジュールã§æ‹¡å¼µã™ã‚‹ã®ã§ã€ä»¥ä¸‹ã®ãƒ‘ッケージをインストールã™ã‚‹ ganglia-3.7.2-2.el7.x86_64 ganglia-gmetad-3.7.2-2.el7.x86_64 ganglia-web-3.7.1-2.el7.x86_64 ganglia-gmond-python-3.7.2-2.el7.x86_64 ganglia-gmond-3.7.2-2.el7.x86_64 ganglia-gmond-python package ganglia-gmond-pythonパッケージã«ã¯ä»¥ä¸‹ã®ãƒ•ã‚¡ã‚¤ãƒ«ãŒå…¥ã£ã¦ã„ã‚‹ ... /usr/lib64
Ganglia Monitoring System
Ganglia is an open-source scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is carefully engineered to achieve very low per-node overheads and high concurrency. Ganglia is currently in use on thousands of clusters around the world and can scale to handle clusters with several thousand of nodes. Gmond Python module for GPUs If you are runni
EC2 Discovery
An important feature of Ganglia is the use of multicast to allow the same simple configuration file to be used across all servers in a cluster. Multicast discovery also means nodes are dynamically added and removed without any further configuration updates. This is a fantastic feature of Ganglia, however none of it works in EC2 or other cloud environments because UDP multicast is not supported. To
Monitoring Spark Applications
Monitoring Spark Applications Tzach Zohar @ Kenshoo, March/2016 The document discusses monitoring Spark applications. It covers using the Spark UI to monitor jobs, stages and tasks; using the Spark REST API to programmatically access monitoring data; configuring Spark metric sinks like Graphite to export internal Spark metrics; and creating applicative metrics to monitor your own application metri
Ganglia 㧠MySQL をモニタリングã™ã‚‹ | Carpe Diem
ã“ã®ã‚¨ãƒ³ãƒˆãƒªã¯ã€MySQL Casual Advent Calendar 22日目ã®ã‚¨ãƒ³ãƒˆãƒªã§ã™ã€‚ 多数㮠MySQL サーãƒã‚’もモニタリングã™ã‚‹ã¨ã Ganglia を使ã†ã¨ä¾¿åˆ©ã§ã™ã€‚ ç¾åœ¨ã® Ganglia ã¯ã€ãƒãƒ¼ã‚¸ãƒ§ãƒ³ 3.6.0 ãªã®ã§ã™ãŒã€MySQL をモニタリングã—ãŸã„å ´åˆã«ã¯ã€å‰ã« hirose31 ã•ã‚“ãŒä½œã£ãŸãƒ—ラグインãŒã‚ã‚Šã¾ã™ãŒã€ç¾åœ¨ã¯æœ¬ä½“ã«å–ã‚Šè¾¼ã¾ã‚Œã¦ã„るプラグインを使ã†ã¨ã„ã„ã§ã™ã€‚ ã¾ãšã€ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ–¹æ³•ã¯ã€CentOS を例ã«ã¨ã£ã¦èª¬æ˜Žã—ã¾ã™ãŒã€Ganglia ã® RPM パッケージを作æˆã—ã¦ã„ã¾ã™ã€‚本体㫠SPEC ファイルã®ã‚‚ã¨ãŒã‚ã‚‹ã®ã§ã€æ‰‹å…ƒã§ ./configure ã—ãŸã‚㨠ganglia.spec を使ã†ã¨ã€æ¬¡ã® RPM パッケージãŒå‡ºæ¥ä¸ŠãŒã‚Šã¾ã™ã€‚ ganglia-web: Ganglia ã® Web GUI gangala-gmetad: Gan
Monitoring JBoss/Wildfly, Tomcat and other application servers with JMXetric
Monitoring JBoss/Wildfly, Tomcat and other application servers with JMXetric NOTE: this page has been updated now there has been feedback about JBoss issues and improvements to integration with JBoss now make it significantly easier to integrate. It is no longer necessary to customize JBoss logger settings in the JVM command line in order to use JMXetric with JBoss if you use JMXetric 1.0.6 or lat
Collins - Infrastructure Management for Engineers
About Collins exists to drive infrastructure automation. Someone recently asked me to describe collins in a sentence. At Tumblr, it's the infrastructure source of truth and knowledge. Everything about Tumblr production environments is stored and encoded in Collins, and that data is used to drive all of our automation. Sometimes people refer to systems like this as a CMDB, or Configuration Manageme
fluent-plugin-ganglia 0.0.1 released
ã“ã®å‰ã¤ãã£ãŸ fluent-plugin-ganglia ã‚’ gem ã«ã—ã¦ãƒãƒ¼ã‚¸ãƒ§ãƒ³ 0.0.1 をリリースã—ãŸã€‚ rubygems.org - fluent-plugin-ganglia github - ziguzagu/fluent-plugin-ganglia å‰å›žã®ã‚¨ãƒ³ãƒˆãƒªãƒ¼ã§æ›¸ã„ãŸæ™‚点ã§ã¯ã€gmond ã‚’ multicast ã‹ã¤ upd_send_channel ã‚’ bind_hostname = “yes†ã¨ã—ã¦å‹•ã‹ã—ã¦ã„ã‚‹å ´åˆã«å®Ÿã¯ã†ã¾ãã„ã£ã¦ã„ãªã‹ã£ãŸã€‚ã†ã”ã„ãŸï¼ã¨ãŠã‚‚ã£ã¦ã‚ã®ã‚¨ãƒ³ãƒˆãƒªãƒ¼ã‚’よã‚ã“ã³ã„ã•ã‚“ã§æ›¸ã„ãŸæ™‚点ã§ã¯ã€1å°ã®ãƒ›ã‚¹ãƒˆã§ã—ã‹ã©ã†ã•ã•ã›ã¦ã„ãªãã¦ã€åŒã˜ metric group ã«ã¯ã„ã‚‹ä»–ã®ãƒ›ã‚¹ãƒˆã§å‹•ã‹ã—始ã‚ãŸã‚‰å…¨ç„¶ã‚°ãƒ©ãƒ•ã§ã¦ã“ãªã„ã€ã¨ã„ã†å§‹æœ«â€¦ã€‚ ã“れ㯠gmetric gem ã® Ganglia::GMetric#send ãŒã€ conn = UD
Host sFlow: Data Center Wide Server Performance Monitoring
The Host sFlow agent exports physical and virtual server performance metrics using the sFlow protocol. The agent provides scalable, multi-vendor, multi-OS performance monitoring with minimal impact on the systems being monitored. NEWS March 28, 2023 - Linux dropreason support implemented March 15, 2023 - VyOS support implemented February 16, 2021 - Transit delay / queue depth support implemented J
Installing Host sFlow on a Windows server
Telemetry, analytics, and control with sFlow® standard The Host sFlow agent supports Windows performance monitoring, providing a lightweight, scalable solution for monitoring large numbers of Windows servers. The following steps demonstrate how to install and configure the Host sFlow agent on a Windows server, sending sFlow to an analyzer with IP address 10.0.0.50. Note: If there are any firewalls
Host sFlow distributed agent
Telemetry, analytics, and control with sFlow® standard The sFlow standard uses a distributed push model in which each host autonomously sends a continuous stream of performance metrics to a central sFlow collector. The push model is highly scalable and is particularly suited to cloud environments. The distributed architecture extends to the sFlow agents within a host. The following diagram shows h
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Use Ganglia with Cumulus Linux | Knowledge Base
Ganglia Quick Start · ganglia/monitor-core Wiki · GitHub
Ganglia's GPU Nvidia module: do we need to patch the ganglia-webfrontend?
GitHub - ganglia/chef-ganglia: Chef Cookbook to Install and Configure Ganglia
Integrating Ganglia with Nagios
GitHub - ganglia/jmxetric: Java JVM instrumentation to Ganglia
Host sFlow on older Windows servers
GitHub - ziguzagu/fluent-plugin-ganglia: fluentd out plugin to ganglia
https://github.com/ganglia/ganglia_contrib/blob/master/gmetric-python/gmetric.py
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