healthcenter
v3.0.3
Published
IBM Monitoring and Diagnostic Tools - Health Center agent
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HealthCenter
Health Center monitoring and profiling agent
NOTE: This project is not currently released under an open source licence, however raising issues and enhancement requests is encouraged.
The Health Center agent instruments the Node.js runtime for performance monitoring using either the provided API, or by connecting using the "IBM Monitoring and Diagnostics Tools - Health Center" client in an Eclipse IDE.
See https://www.ibm.com/developerworks/java/jdk/tools/healthcenter/ for more details.
Getting Started
Prerequisites
The Health Center Agent supports either the Node.js 0.10 or 0.12 runtime environments on the following platform architectures:
- 64-bit or 32-bit runtime on Windows (x64 or x86)
- 64-bit or 32-bit runtime on Linux (x64, x86, PPC32, PPC64, PPC64LE, z31, z64)
- 64-bit or 32-but runtime on AIX (PPC32, PPC64)
Installation
Health Center can be installed globally using npm to be able to use the node-hc command:
$ npm install -g healthcenter
or installed locally in order to be able to use the API:
$ npm install healthcenter
Configuring Health Center
Running Health Center
If installed globally, Health Center can be run using the node-hc
command:
$ node-hc app.js
If installed locally, the use of the Health Center agent needs to be added as the first line of your application:
var healthcenter = require('healthcenter');
and your application launched using the node
command as usual.
Connecting the Health Center Eclipse IDE client
##The Health Center API In addition to being able to connect the Eclipse IDE client, you can also access the Health Center monitoring data using the provided event API.
###Getting started with the API To access the Health Center monitoring data, first load the Health Center module, then request access to the monitoring data:
var healthcenter = require('healthcenter');
var monitoring = healthcenter.monitor();
The monitoring instance can then be used to register callbacks and request information about the application:
monitoring.on('initialized', function (env) {
env = monitoring.getEnvironment());
for (var entry in env) {
console.log(entry + ':' + env[entry]);
};
});
monitoring.on('cpu', function (cpu) {
console.log('[' + new Date(data.time) + ] CPU: ' + cpu.process');
});
API Documentation
healthcenter.monitor()
Creates a Health Center agent client instance. This can subsequently be used to control data collection, request data, and subscribe to data events.
healthcenter.emit(type
, data
)
Allows custom monitoring events to be added into the Health Center agent.
type
(String) the name you wish to use for the data. A subsequent event of that type will be raised, allowing callbacks to be registered for it.data
(Object) the data to be made available with the event. The object must not contain circular references, and by convention should contain atime
value representing the milliseconds when the event occurred.
healthcenter.monitor.getEnvironment()
Requests an object containing all of the available environment information for the running application.
healthcenter.monitor.enable(type
)
Enable data generation of the specified data type.
type
(String) the type of event to start generating data for. Only 'profiling' is currently supported.
healthcenter.monitor.disable(type
)
Disable data generation of the specified data type.
type
(String) the type of event to stop generating data for. Only 'profiling' is currently supported.
Event: 'cpu'
Emitted when a CPU monitoring sample is taken.
data
(Object) the data from the CPU sample:time
(Number) the milliseconds when the sample was taken. This can be converted to a Date usingnew Date(cpu.time)
.process
(Number) the percentage of CPU used by the Node.js application itself. This is a value between 0.0 and 1.0.system
(Number) the percentage of CPU used by the system as a whole. This is a value between 0.0 and 1.0.
Event: 'memory'
Emitted when a memory monitoring sample is taken.
data
(Object) the data from the memory sample:time
(Number) the milliseconds when the sample was taken. This can be converted to a Date usingnew Date(cpu.time)
.physical_total
(Number) the total amount of RAM available on the system in bytes.physical_used
(Number) the total amount of RAM in use on the system in bytes.physical_free
(Number) the total amount of free RAM available on the system in bytes.private
(Number) the amount of RAM in use by the Node.js application in bytes.virtual
(Number) the memory address space used by Node.js application in bytes.
Event: 'gc'
Emitted when a garbage collection (GC) cycle occurs in the underlying V8 runtime.
data
(Object) the data from the GC sample:time
(Number) the milliseconds when the sample was taken. This can be converted to a Date usingnew Date(cpu.time)
.type
(String) the type of GC cycle, either 'M' or 'S'.size
(Number) the size of the JavaScript heap in bytes.used
(Number) the amount of memory used on the JavaScript heap in bytes.duration
(Number) the duration of the GC cycle in milliseconds.
Event: 'profiling'
Emitted when a profiling sample is available from the underlying V8 runtime.
data
(Object) the data from the profiling sample:time
(Number) the milliseconds when the sample was taken. This can be converted to a Date usingnew Date(cpu.time)
.functions
(Array) an array of functions that ran during the sample. Each array entry consists of:self
(Number) the ID for this function.parent
(Number) the ID for this function's caller.name
(String) the name of this function.file
(String) the file in which this function is defined.line
(Number) the line number in the file.count
(Number) the number of samples for this function.
Version
3.0.3