Para serviços de aplicativo e plug-ins de monitoramento personalizado compatíveis com VMware Aria Operations , há detalhes de configuração que você deve seguir.

Tabela 1. Detalhes de configuração dos serviços de aplicativos compatíveis
Detalhes de configuração dos serviços de aplicativos compatíveis
Active Directory
ActiveMQ
Apache HTTPD
Cassandra
Hyper-V
Plug-in Java
Aqui estão os detalhes de configuração: 
[[inputs.jolokia2_agent]]
  # Prefix to attach to the measurement name
  name_prefix = "java."
  # Add agents URLs to query
  urls = ["http://localhost:8080/jolokia"]
  #username and password are mandatory for Jolokia 1.6 or later
  #username = <jolokia role username>
  #password = <jolokia role password>
  # response_timeout = "5s"
  ## Optional TLS config
  # tls_ca   = "/var/private/ca.pem"
  # tls_cert = "/var/private/client.pem"
  # tls_key  = "/var/private/client-key.pem"
  # insecure_skip_verify = false
  ### JVM Generic
  [[inputs.jolokia2_agent.metric]]
    name  = "OperatingSystem"
    mbean = "java.lang:type=OperatingSystem"
    paths = ["ProcessCpuLoad","SystemLoadAverage","SystemCpuLoad"]
  [[inputs.jolokia2_agent.metric]]
    name  = "jvm_runtime"
    mbean = "java.lang:type=Runtime"
    paths = ["Uptime"]
  [[inputs.jolokia2_agent.metric]]
    name  = "jvm_memory"
    mbean = "java.lang:type=Memory"
    paths = ["HeapMemoryUsage", "NonHeapMemoryUsage", "ObjectPendingFinalizationCount"]
  [[inputs.jolokia2_agent.metric]]
    name     = "jvm_garbage_collector"
    mbean    = "java.lang:name=*,type=GarbageCollector"
    paths    = ["CollectionTime", "CollectionCount"]
    tag_keys = ["name"]
  [[inputs.jolokia2_agent.metric]]
    name       = "jvm_memory_pool"
    mbean      = "java.lang:name=*,type=MemoryPool"
    paths      = ["Usage", "PeakUsage", "CollectionUsage"]
    tag_keys   = ["name"]
    tag_prefix = "pool_"
  ### TOMCAT
  [[inputs.jolokia2_agent.metric]]
    name     = "GlobalRequestProcessor"
    mbean    = "Catalina:name=*,type=GlobalRequestProcessor"
    paths    = ["requestCount","bytesReceived","bytesSent","processingTime","errorCount"]
    tag_keys = ["name"]
  [[inputs.jolokia2_agent.metric]]
    name     = "JspMonitor"
    mbean    = "Catalina:J2EEApplication=*,J2EEServer=*,WebModule=*,name=jsp,type=JspMonitor"
    paths    = ["jspReloadCount","jspCount","jspUnloadCount"]
    tag_keys = ["J2EEApplication","J2EEServer","WebModule"]
  [[inputs.jolokia2_agent.metric]]
    name     = "ThreadPool"
    mbean    = "Catalina:name=*,type=ThreadPool"
    paths    = ["maxThreads","currentThreadCount","currentThreadsBusy"]
    tag_keys = ["name"]
  [[inputs.jolokia2_agent.metric]]
    name     = "Servlet"
    mbean    = "Catalina:J2EEApplication=*,J2EEServer=*,WebModule=*,j2eeType=Servlet,name=*"
    paths    = ["processingTime","errorCount","requestCount"]
    tag_keys = ["name","J2EEApplication","J2EEServer","WebModule"]
  [[inputs.jolokia2_agent.metric]]
    name     = "Cache"
    mbean    = "Catalina:context=*,host=*,name=Cache,type=WebResourceRoot"
    paths    = ["hitCount","lookupCount"]
    tag_keys = ["context","host"]
JBoss Server
Microsoft IIS
Microsoft SQL Server
Aqui estão os detalhes de configuração: 
[[inputs.sqlserver]]
   name_prefix = "MSSQL."

       #servers = [
       #"Server=<servername>;Port=1433;User Id=telegraf;Password=<mystrongpassword from step 2>;app name=telegraf;log=1;",
       #"Server=<servername>;Port=1433;User Id=telegraf;Password=<mystrongpassword from step 2>;app name=telegraf;log=1;"
      #]
       servers = [
        "Server=localhost;Port=1433;User Id=sa;Password=Password;app name=telegraf;log=1;"
         ]
   
   namepass = ["Rows*writes*bytes*sec*", "Rows*reads*bytes*sec*", "Rows*writes*sec*", "Rows*reads*sec*", "Query*User*counter*", "Buffer*cache*hit*ratio*", "Page*life*expectancy*", "Page*lookups*sec*", "Page*reads*sec*", "Page*writes*sec*", "Lazy*writes*sec*", "Checkpoint*pages*sec*", "Log*Apply*Ready*Queue*", "Data*File*s*Size*KB*", "Log*File*s*", "XTP*Memory*Used*KB*", "Log*Flushes*sec*", "Write*Transactions*sec*", "Transactions*sec*", "Log*Flush*Wait*Time*", "Active*Transactions*", "Log*Bytes*Flushed*sec*", "Processes*blocked*", "User*Connections*", "Logins*sec*", "Logouts*sec*", "Active*Temp*Tables*", "Temp*Tables*Creation*Rate*", "Batch*Requests*sec*", "SQL*Compilations*sec*", "SQL*Re*Compilations*sec", "Stored*Procedures*Invoked*sec*", "Target*Server*Memory*KB*", "Total*Server*Memory*KB*", "SQL*Cache*Memory*KB*", "Log*Pool*Memory*KB*", "Connection*Memory*KB*", "Lock*Memory*KB*", "Memory*Grants*Pending*", "Active*memory*grant*amount*KB*", "Disk*Read*Bytes*sec*", "Disk*Read*IO*Throttled*sec*", "Disk*Read*IO*sec*", "Disk*Write*Bytes*sec*", "Disk*Write*IO*Throttled*sec*", "Used*memory*KB*", "CPU*usage*", "Free*Space*in*tempdb*KB*", "Version*Store*Size*KB*", "Transactions*", "Blocked*tasks*", "Active*requests*", "Queued*requests*", "Requests*completed*sec*", "Number*of*Deadlocks*sec*", "Lock*Wait*Time*ms*", "Lock*Waits*sec*", "Lock*Requests*sec*", "Average*Wait*Time*ms*", "Index*Searches*sec*", "Page*Splits*sec*", "Full*Scans*sec*", "CPU*", "Wait*time*ms*", "Wait*tasks*", "State*", "Recovery*Model*"]
MongoDB
MS Exchange Server
MySQL
NGINX
NTPD
Aqui estão os detalhes de configuração: 
[[inputs.ntpq]]
     name_prefix = “ntpd.”
     ## If false, set the -n ntpq flag. Can reduce metric gather times.
     dns_lookup = tr
OracleDB
PostgreSQL
Principal
RabbitMQ
Riak
SharePoint Server
Servidor Tomcat
Oracle WebLogic
WebSphere
Tabela 2. Detalhes de configuração para plug-ins de monitoramento personalizado
Verificação de ping (Ping check)

Aqui estão os detalhes de configuração:

[[inputs.ping]]
## Hosts to send ping packets to.
urls = [www.vmware.com]

## Number of ping packets to send per interval.  Corresponds to the "-c"
## option of the ping command.
# count = 1

## Time to wait between sending ping packets in seconds.  Operates like the
## "-i" option of the ping command.
# ping_interval = 1.0

## If set, the time to wait for a ping response in seconds.  Operates like
## the "-W" option of the ping command.
# timeout = 1.0

## If set, the total ping deadline, in seconds.  Operates like the -w option
## of the ping command.
# deadline = 10

## Interface or source address to send ping from.  Operates like the -I or -S
## option of the ping command.
# interface = ""
Verificação de TCP (TCP check )

Aqui estão os detalhes de configuração:

[[inputs.net_response]]
name_override="netresponse"
## Server address (default localhost)
address = "10.10.10.10:443"
protocol = "tcp"

## Set timeout
# timeout = "1s"

## Set read timeout (only used if expecting a response)
# read_timeout = "1s"
Verificação HTTP (HTTP check)

Aqui estão os detalhes de configuração:

# HTTP/HTTPS request given an address a method and a timeout
[[inputs.http_response]]
name_override="httpresponse"
## List of url to query.
address = https://10.10.10.10/suite-api/api/adapters
method = "GET"

## Set http_proxy.
## Telegraf uses the system wide proxy settings if it's is not set.
# http_proxy = http://localhost:8888

## Set response_timeout (default 5 seconds)
# response_timeout = "5s"

## Whether to follow redirects from the server (defaults to false)
# follow_redirects = false

## Optional name of the field that will contain the body of the response.
## By default it is set to an empty String indicating that the body's content won't be added
# response_body_field = ''

## Optional substring or regex match in body of the response (case sensitive)
# response_string_match = "\"service_status\": \"up\""
# response_string_match = "ok"
# response_string_match = "\".*_status\".?:.?\"up\""


## Optional SSL Config
# ssl_ca = "/etc/telegraf/ca.pem"
# ssl_cert = "/etc/telegraf/cert.pem"
# ssl_key = "/etc/telegraf/key.pem"


## Use SSL but skip chain & host verification
insecure_skip_verify = true

## HTTP Request Headers (all values must be strings)
[inputs.http_response.headers]
accept = "application/json" Authorization = "OpsToken a16f7a2b-b033-48bc-9827-2daf8e205537::ec11ee5f-8623-4558-a904-8b4ea3f6f47d"
Scripts personalizados (Custom scripts)

Aqui estão os detalhes de configuração:

Para plataformas Linux: (For Linux Platforms:) 
# Read metrics from command that can output to stdout
[[inputs.exec]]
name_prefix = "executescript."
name_override = "output"
# commands = ["<prefix> <file path> <argument>"]
commands = ["python /opt/scripts/argument.py 10"]

## Data format to consume.
data_format = "value"
data_type = "integer"

## Timeout for each command to complete.
timeout = "300s"

[inputs.exec.tags]

file_path = "/opt/scripts/argument.py"
script_name = "my-py-script on Centos7-VM"
Para Windows Plataformas: 
# Read metrics from command that can output to stdout
[[inputs.exec]]

name_prefix = "executescript."
name_override = "output"

# commands = ["<prefix> <file path> <argument>"]
commands = ["Powershell -File C:\\\\VMware\\\\Scripts\\\\Arguments.ps1 vmtoolsd"]

## Data format to consume.
data_format = "value"
data_type = "integer"

## Timeout for each command to complete.
timeout = "300s"

[inputs.exec.tags]

file_path = "C:\\VMware\\Scripts\\Arguments.ps1"
script_name = "my-script-for-vmtool on Windows2022-PhysicalServer"
Processo Linux (Linux Process)

Aqui estão os detalhes de configuração (por meio de expressão regular):

# Monitor process cpu and memory usage
[[inputs.procstat]]
  ## pattern as argument for pgrep (ie, pgrep -f <pattern>)
  pattern = ".*ucp-.*"

  fieldpass =  ["running", "cpu_usage", "memory_usage"]
  [inputs.procstat.tags]
    search_pattern = "regex_.#!AsTeRiSk!#ucp-.#!AsTeRiSk!#"
Aqui estão os detalhes de configuração (via nome do executável): 
# Monitor process cpu and memory usage
[[inputs.procstat]]
  ## executable name (ie, pgrep <exe>)
  exe = "top"
  fieldpass =  ["running", "cpu_usage", "memory_usage"]
  [inputs.procstat.tags]

    search_pattern = "exec_top"
Aqui estão os detalhes de configuração (via ID do processo): 
# Monitor process cpu and memory usage
[[inputs.procstat]]
  ## PID file to monitor process
  pid_file = "/var/run/vmtoolsd.pid"

  fieldpass =  ["running", "cpu_usage", "memory_usage"]
  [inputs.procstat.tags]

    search_pattern = "pidfile_/var/run/vmtoolsd.pid"
Serviço do Windows

Aqui estão os detalhes de configuração (via nome do executável):

# Monitor process cpu and memory usage
[[inputs.procstat]]

## Windows service name
win_service = "Dhcp"
pid_finder = "native"

fieldpass =  ["running", "cpu_usage", "memory_usage"]
[inputs.procstat.tags]
search_pattern = "exec_Dhcp"

[[inputs.win_services]]
service_names = ["Dhcp"]
name_override="procstat"

[inputs.win_services.tags]
search_pattern = "exec_Dhcp"