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Monitoring Your Data Center  Using Apache and Ganglia Brad Nicholes Sr. Software Engineer, Novell Member Apache Software Foundation [email_address]
Agenda Ganglia Monitoring Introduction and Overview Ganglia Architecture Apache Web Frontend Gmond & Gmetad Extending Ganglia GMetrics Module Development
Introduction and Overview Scalable Distributed Monitoring System Targeted at monitoring clusters and grids Multicast-based Listen/Announce protocol Depends on open standards XML XDR compact portable data transport RRDTool  - Round Robin Database APR – Apache Portable Runtime Apache HTTPD Server PHP based web interface http://ganglia.sourceforge.net  or  http://www.ganglia.info
Ganglia Architecture Gmond – Metric gathering agent installed on individual servers  Gmetad – Metric aggregation agent installed on one or more specific task oriented servers Apache Web Frontend – Metric presentation and analysis server Attributes Multicast – All gmond nodes are capable of listening to and reporting on the status of the entire cluster Failover – Gmetad has the ability to switch which cluster node it polls for metric data Lightweight and low overhead metric gathering and transport Ported to various different platforms (Linux, FreeBSD, Solaris, others)
Ganglia Architecture
Ganglia Web Frontend Built around Apache HTTPD server using mod_php Uses presentation templates so that the web site “look and feel” can be easily customized Presents an overview of all nodes within a grid vs all nodes in a cluster Ability to drill down into individual nodes Presents both textual and graphical views
Ganglia Customized Web Front-end
Deploying Ganglia Monitoring See http://ganglia.sourceforge.net/docs/ganglia.html Install Gmond on all monitored nodes Edit the configuration file Add cluster and host information Configure network upd_send_channel, udp_recv_channel, tcp_accept_channel Start gmond Installing Gmetad on an aggregation node Edit the configuration file Add data and failover sources Add grid name Start gmetad Installing the web frontend Install Apache httpd server with mod_php Copy Ganglia web pages and PHP code to appropriate location Add appropriate authentication configuration for access control
Gmond Gathering & Gmetad Aggregation Agents
Gmond – Metric Gathering Agent Built-in metrics Various CPU, Network I/O, Disk I/O and Memory Extensible Gmetric – Out-of-process utility capable of invoking command line based metric gathering scripts Loadable modules capable of gathering multiple metrics or using advanced metric gathering APIs Built on the Apache Portable Runtime Supports Linux, FreeBSD, Solaris and more…
Gmond – Metric Gathering Agent Automatic discovery of nodes Adding a node does not require configuration file changes Each node is configured independently Each node has the ability to listen to and/or talk on the multicast channel Can be configured for unicast connections if desired Heartbeat metric determines the up/down status Thread pools Collection threads – Capable of running specialized functions for gathering metric data Multicast listeners – Listen for metric data from other nodes in the same cluster Data export listeners – Listen for client requests for cluster metric data
Gmond – Global Configuration daemonize  - When “yes”, gmond will daemonize setuid  - When “yes”, gmond will set its effective UID to the uid of the user specified by the user attribute debug_level  - When set to zero (0), gmond will run normally. Greater than zero, gmond runs in the foreground and outputs debugging information Mute  - When “yes”, gmond will not send data deaf  - When “yes”, gmond will not receive data host_dmax  - When set to zero (0), gmond will not delete a host from its list. If set to a positive number, gmond will flush a host after it has not heard from it for N seconds cleanup_threshold  - Minimum about of time before gmond will cleanup expired data gexec  - Specify whether gmond will announce the hosts availability to run gexec jobs
Gmond – Cluster Configuration name  - Specifies the name of the cluster of machines owner  - Specifies the administrators of the cluster latlong  - Latitude and longitude GPS coordinates of this cluster on earth url  - Additional information about the cluster
Gmond – Network Configuration Udp_send_channel mcast_join, mcast_if – Multicast address and interface  host – Unicast host port – Multicast or Unicast port Udp_recv_channel mcast_join, mcast_if, port – Multicast address, interface and port Bind – Bind a particular local address family – Protocol family Tcp_accept_channel Bind, port, interface – Bind a particular local address, listen port and interface Family – Protocol family timeout – Request timeout
Gmond – Configuration Example globals  {  daemonize = yes  setuid = yes  user = nobody  debug_level = 0  max_udp_msg_len = 1472  mute = no  deaf = no  host_dmax = 0 /*secs */  cleanup_threshold = 300 /*secs */  gexec = no  }  cluster  {  name = “My Cluster"  owner = “Administrator"  latlong = “N37.37 W122.23"   url = “http://www.moreinfo.org"  }  udp_send_channel  {  mcast_join = 239.2.11.71  port = 8649  ttl = 1  }  udp_recv_channel  {  mcast_join = 239.2.11.71  port = 8649  bind = 239.2.11.71  }  tcp_accept_channel  {  port = 8649  }
Gmond – Access Control  Configured in upd_recv_channel or tcp_accept_channel sections Examples: “ Deny all” with exceptions   “ Allow all” with IPv4 & IPv6 exceptions   acl { default = "deny" access { ip = 192.168.0.4 mask = 32 action = "allow" } } acl { default = "allow" access { ip = 192.168.0.0 mask = 24 action = "deny" } access { ip = ::ff:1.2.3.0 mask = 120 action = "deny" } }
Gmond – Metric Collection Groups Specify as many collection groups as you like Each collection group must contain at least one metric section List available metrics by invoking “gmond -m” Collection_group section: collect_once – Specifies that the group of static metrics collect_every – Collection interval (only valid for non-static) time_threshold – Max data send interval Metric section: Name – Metric name (see “gmond –m”) Value_threshold – Metric variance threshold (send if exceeded)
Gmond – Configuration Example collection_group  {  collect_once = yes  time_threshold = 20  metric {  name = "heartbeat"  }  }  collection_group  {  collect_once = yes  time_threshold = 1200  metric {  name = "cpu_num"  }  metric  {  name = "cpu_speed"  }  metric  {  name = "mem_total"  }  metric  {  name = "swap_total"  }  … }  collection_group  {  collect_every = 20  time_threshold = 90  metric  {  name = "load_one"  value_threshold = "1.0"  }  metric  {  name = "load_five"  value_threshold = "1.0"  }  … }  collection_group  {  collect_every = 80  time_threshold = 950  metric  {  name = "proc_run"  value_threshold = "1.0"  }  metric  {  name = "proc_total"  value_threshold = "1.0"  }  }
Gmetad – Metric Aggregation Agent Polls a designated cluster node for the status of the entire cluster Data collection thread per cluster Ability to poll gmond or another gmetad for metric data Failover capability RRDTool – Storage and trend graphing tool Defines fixed size databases that hold data of various granularity Capable of rendering trending graphs from the smallest granularity to the largest (eg. Last hour vs last year) Never grows larger than the predetermined fixed size Database granularity is configurable through gmetad.conf
Gmetad – Configuration Data source and and failover designations data_source  "my cluster" [polling interval] address1:port addreses2:port ...  RRD database storage definition RRAs  "RRA:AVERAGE:0.5:1:244" "RRA:AVERAGE:0.5:24:244" "RRA:AVERAGE:0.5:168:244" "RRA:AVERAGE:0.5:672:244" "RRA:AVERAGE:0.5:5760:374"  Access control trusted_hosts  address1 address2 … DN1 DN2 … all_trusted   OFF /on  RRD files location rrd_rootdir  "/var/lib/ganglia/rrds"  Network xml_port  8651  interactive_port  8652
Gmetad – Configuration Example data_source  "my cluster" 10 localhost  my.machine.edu:8649 1.2.3.5:8655 data_source  "my grid" 50 1.3.4.7:8655 grid.org:8651 grid-backup.org:8651 data_source  "another source" 1.3.4.7:8655  1.3.4.8 trusted_hosts  127.0.0.1 169.229.50.165 my.gmetad.org xml_port  8651 interactive_port  8652 rrd_rootdir  "/var/lib/ganglia/rrds"
Round-Robin Database Storage
Round-Robin Database (RRD) High performance data logging and graphing system for time series data Automatic data consolidation over time Define various Round-Robin Archives (RRA) which hold data points at decreasing levels of granularity Multiple data points from a more granular RRA are automatically consolidated and added to a courser RRA Constant and predictable data storage size Old data is eliminated as new data is added to the RRD file Amount of storage required is defined at the time the RRD file is created RRDTool Web site: http://oss.oetiker.ch/rrdtool/
Ganglia Default RRD Definition Definition of the Round-Robin Database format is determined at database creation time Default Ganglia RRA definitions: RRA #1 – 15 second average for 61 minutes RRA #2 – 6 minute average for 24.4 hours RRA #3 – 42 minute average for 7.1 days RRA #4 – 2.8 hour average for 28.5 days RRA #5 – 24 hour average for 374 days Default largest retrievable time series, ~1 year Configurable to whatever you want
Retrieving Data, Generating Graphs and Interacting with an RRD File RRDFetch – Retreive time series data from an RRD file for a specific time period RRDInfo – Print header data from an RRD file in a parsing friendly format RRDGraph – Creates a graphical representation of the specified time series data RRDUpdate – Feed new data values into an RRD file Other APIs – RRDCreate, RRDDump, RRDFirst, RRDLast, RRDLastupdate, RRDResize, …
Extending the Ganglia Monitoring System
Gmetric Service Level Metrics Utility Extends the available metrics that can be produced through Gmond Ability to run specialized metric gathering scripts Pushes metric data back through Gmond Must be scheduled through cron rather than Gmond Gmetric repository on Ganglia project site http://ganglia.sourceforge.net/gmetric/
Gmetric Command Line gmetric --conf=./custom.conf -n "wow" -v "it works" -t "string"   Usage: gmetric [OPTIONS]...  -h, --help Print help and exit -V, --version  Print version and exit -c, --conf=STRING  The configuration file to use for finding send channels (default=`/etc/gmond.conf') -n, --name=STRING  Name of the metric -v, --value=STRING  Value of the metric -t, --type=STRING  Either string|int8|uint8|int16|uint16|int32|uint32|float|double -u, --units=STRING  Unit of measure for the value e.g. Kilobytes, Celcius (default=`') -s, --slope=STRING  Either zero|positive|negative|both  (default=`both') -x, --tmax=INT  The maximum time in seconds between gmetric calls (default=`60') -d, --dmax=INT  The lifetime in seconds of this metric  (default=`0')
Gmond Pluggable Metric Modules Extends the available metrics that can be gathered by Gmond Provided as dynamically loadable modules Configured through the gmond.conf Scheduled through Gmond rather than an external scheduler Module development is similar to an Apache module Able to produce multiple metrics from a single module
Gmond Module Development Three callback interfaces Init  int (*ex_metric_init)(apr_pool_t *p); Clean up  void (*ex_metric_cleanup)(void); Metric gathering handler  g_val_t (*ex_metric_handler)(int metric_index); Metric definition structure mmodule example_module = { STD_MMODULE_STUFF,  // Internal module definition ex_metric_init, // Metric init callback function ex_metric_cleanup, // Metric cleanup callback function ex_metric_info, // Metric info data structure ex_metric_handler, // Metric handler };
Gmond Example Module mmodule example_module; static int  ex_metric_init (apr_pool_t *p) { apr_array_header_t *list_params =  example_module.module_params_list srand(time(NULL)%99); return 0; } static void  ex_metric_cleanup  ( void ) { } static g_val_t  ex_metric_handler  ( int  metric_index ) { g_val_t val; switch (metric_index) { case 0: val.int32 = rand()%99; return val; case 1: val.int32 = 50; return val; } /* default case */ val.int32 = 0; return val; } static const Ganglia_25metric  ex_metric_info [] =  { {0, "Random_Numbers", 90,   GANGLIA_VALUE_UNSIGNED_INT, "s", both",    "%u", UDP_HEADER_SIZE+8,    "Example module metric (random numbers)"}, {0, "Constant_Number", 90,   GANGLIA_VALUE_UNSIGNED_INT, "Num", "zero",   "%hu", UDP_HEADER_SIZE+8,    "Example module metric(constant number)"}, {0, NULL} }; mmodule  example_module  = { STD_MMODULE_STUFF, ex_metric_init, ex_metric_cleanup, ex_metric_info, ex_metric_handler, };
Gmond Example Module Configuration modules { module { name = "example_module" path =  "/usr/lib/ganglia/modexample.so"  Param RandomMax { Value = 75 } Param ConstantValue { Value = 25 } } } /* Define Collection Groups */  collection_group {  collect_every = 10  time_threshold = 50  metric {  name = "Random_Numbers" value_threshold = 30.0  }  } collection_group {  collect_once = yes  time_threshold = 20  metric {  name = "Constant_Number" }  }
Gmond Python Module Development Extends the available metrics that can be gathered by Gmond Configured through the Gmond configuration file Python module interface is similar to the C module interface Ability to save state within the script vs. a persistent data store Larger footprint but easier to implement new metrics
Gmond Python Module Development Three mandatory functions metric_init() Called once at module initialization time Must return a metric description dictionary or list of dictionaries Any other module initialization can also take place here metric_handler() – may have multiple handlers Metric gathering handler Must return a single data value of the same type as specified in the metric_init() function metric_cleanup() Called once at module termination time Does not return a value
Gmond Python Module Development Metric definition data dictionary  d = { ‘name’ : ‘<your_metric_name>’,   ‘ call_back’ : <call_back function>, ‘ time_max’ : int(<your_time_max>), ‘ value_type’ : ‘<string | uint | float | double>’, ‘ units’ : ’<your_units>’, ‘ slope’ : ‘<zero | positive | negative | both>’, ‘ format’ : ‘<your_format>’, ‘ description’ : ‘<your_description>’} Can be a single dictionary or a list of dictionaries Must be returned from the metric_init() function
Gmond Python Module Development Curve_Max = 15  v = int(1) inc = int(1) count = 0 def metric_init(params): global Curve_Max if ‘CurveMax’ in params: Curve_Max = int(params[‘CurveMax’]) d = {‘name’: ‘Curve_Metric’,  ‘ call_back’: curve_handler,  ‘ time_max': int(60), ‘ value_type’: ‘uint’,  ‘ units’: ‘Seconds’, ‘ slope’: ‘both’,  ‘ format’: ‘%u’, ‘ description’:    ‘ Shows a uniform curve’} return d def curve_handler(name): global v,count,inc,Curve_Max v += inc count += 1 if count > Curve_Max: count = 0 inc = -inc return int(v) def metric_cleanup(): pass
Gmond Python Module Deployment Copy the .py file to a specific directory The python modules directory is defined in the gmond.conf file Start Gmond using the –m paramenter Shows a list of all available metrics known to Gmond The python based metric should be in the list Add the new python metric to a collection group just like any other metric Restart Gmond
Configuring Gmond for Python Must load the mod_python.so pluggable module  Must specify a python module path The ‘params’ directive specifies the python module path Mod_python will automatically load any .py module found in the specified path Recommend including the python metric module .pyconf files from within the same .conf file that loads the python support module Include (‘/etc/ganglia/conf.d/*.pyconf’) modules { module { name = &quot;python_module&quot; path = &quot;/usr/lib/ganglia/modpython.so&quot; params = &quot;/usr/lib/ganglia/python_modules&quot; } }
Questions
 
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