kardia

A humane service status API module to expose any operational/internals of any Node.js based microservice. JSON format over HTTP protocol.

Kardia

A humane service status and health check API module to expose any operational/internals of any Node.js based microservice. JSON format over HTTP protocol. Field tested in production at scale. Perfect for further aggregation and consumption from a larger set of services that all expose their internals using the Kardia interface.

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Why?

When running several Node.js based microservices across large number of hosts/containers like we do here at Pipedrive, we discovered it becomes increasingly difficult to monitor the state of different internal variables inside these processes.

To address this, we created a common status API interface which we consume and analyze centrally, with all Node.js services on all hosts exposing their internal status using Kardia format.

Methods

Usage

npm install kardia

In your code to start Kardia:

var Kardia = require('kardia');
var kardia = Kardia.start({ name: "My process", host: '0.0.0.0', port: 12900 });

Then, when run on the master process, Kardia will create a new HTTP server on the designated host (default 0.0.0.0) and port (default 12900) which lists the indicators of the running process in JSON format. On the worker process (using Node.js’s cluster module), it will expose the same interface and start collecting data which it sends back to the master process automatically using IPC to be displayed with the Kardia HTTP server along with data from the master and all worker processes.

Kardia server will be a singleton, accessible from every file in the master process. So all subsequent calls to Kardia can be to obtain the reference to the running server with the following syntax from any file:

var kardia = require('kardia');

Also, when used in the master-worker cluster, you can use the exact same syntax as shown above from any worker process.

The status page (thus visible at http://localhost:12900) will include the following components: * service – The name of the service running * pid – The PID of the master process * env – The running environment of the process (derived from process.env.NODE_ENV) * uptime – The master process uptime in seconds * uptime_formatted – Human-readable uptime (e.g. 2 hours, 48 minutes, 54 seconds) * startTime — ISO-formatted timestamp of the start time of master process * curTime — ISO-formatted timestamp of the current time in server * uid — process.uid of the master process * gid — process.gid of the master process * values — key-value container for any user-defined variables using kardia.set() method * counters — key-value container for any user-defined counters using kardia.increment() and kardia.decrement() methods * throughput — key-value container for any user-defined throughput measures using kardia.throughput() * stacks — container for any user-defined stacks using kardia.startStack() and kardia.stack() methods * workers — array of worker processes (kept in sync automatically and populated with data from each worker when using Node.js’s cluster module) * remoteAddress — the IP address of the status page requestor * network — a dump of available network interfaces on the server * hostname — name of the server the process is running on * memory — a dump of the current and initial memory state, and a diff comparing the two * fallBehind — V8 code execution delay indicator * os — a dump of operating system data * config — the configuration which Kardia is currently using

Here’s an example of the status page:

{
    "service": "example-service",
    "pid": 52298,
    "env": "development",
    "uptime": 10134,
    "uptime_formatted": "2 hours, 48 minutes, 54 seconds",
    "startTime": "2014-05-27T11:14:26.405Z",
    "curTime": "2014-05-27T14:03:21.018Z",
    "uid": 501,
    "gid": 20,
    "values": {},
    "counters": {
        "heartbeats": 6751
    },
    "throughput": {
        "incoming requests from customers": {
            "sec": 51.23,
            "min": 3073.8,
            "hour": 184428
        },
        "outbound requests to billing service": {
            "sec": 51.23,
            "min": 3073.8,
            "hour": 184428
        }
    },
    "stacks": {
        "notices": [
            {
                "time": "2014-05-27T11:14:26.405Z",
                "value": "Some notice"
            },
            {
                "time": "2014-05-27T11:14:27.405Z",
                "value": "Some notice"
            },
            {
                "time": "2014-05-27T11:14:28.405Z",
                "value": "Some notice"
            }
        ]
    },
    "workers": [],
    "remoteAddress": "127.0.0.1",
    "network": {
        "lo0": [
            {
                "address": "::1",
                "family": "IPv6",
                "internal": true
            },
            {
                "address": "127.0.0.1",
                "family": "IPv4",
                "internal": true
            },
            {
                "address": "fe80::1",
                "family": "IPv6",
                "internal": true
            }
        ]
    },
    "hostname": "my-server",
    "memory": {
        "current": {
            "rss": 19996672,
            "heapTotal": 9293056,
            "heapUsed": 4609112
        },
        "initial": {
            "rss": 13086720,
            "heapTotal": 6163968,
            "heapUsed": 2152840
        },
        "diff": {
            "rss": 6909952,
            "heapTotal": 3129088,
            "heapUsed": 2456272
        }
    },
    "fallBehind": 0.966987,
    "os": {
        "type": "Darwin",
        "platform": "darwin",
        "arch": "x64",
        "release": "13.2.0",
        "uptime": 612508,
        "loadavg": [
            2.654296875,
            2.60986328125,
            2.28759765625
        ],
        "totalmem": 17179869184,
        "freemem": 5906210816
    },
    "config": {
        "name": "example-service",
        "port": 12900,
        "debug": false
    }
}

Given you have several processes exposing their metrics in the same manner across multitude of hosts, you can build a central handler to aggregate their statuses or hook them up to your existing monitoring systems.

Methods

kardia.increment(key, n);

Increment a counter by N. The counters appear in counters object on the status page. The counter gets created if it did not exist yet. Useful for, for example, analyzing execution counts of specific functions (e.g. performed 291 API PUT requests).

kardia.increment("some counter", 2);

kardia.decrement(key, n);

Decrement a counter by N.

kardia.decrement("some counter", 2);

kardia.startStack(name, length);

Start a new stack with the given name and with a given max length. In the example below, we start the “notices” stack that will be capped at 20 items at all times. You do not have to call .startStack() to start pushing values to a stack — if you pushed to a non-existing stack, the stack would automatically be generated and its length would be capped at 15 items by default.

kardia.startStack("notices", 20);

kardia.stack(name, value);

Push a new value to a stack. A stack can be pre-configured using .startStack() but does not have to be. If .stack() is called without .startStack(), the default length of the stack will be 15 items.

kardia.stack("notices", "Some random notice");

kardia.stopStack(name);

Remove a stack and any of its values.

kardia.stopStack("notices");

kardia.set(key, value);

Set a specific value to the values key-value object in the status page. Useful for, for example, connection status indications (e.g. whether a certain connection is “CONNECTED” or “CLOSED”, etc).

kardia.set("some key", "value");

kardia.unset(key);

Un-set a specific key within the values block.

kardia.unset("some key");

kardia.throughput(name);

Increment a throughput counter with the given name. The throughput will get automatically calculated per second, per minute and per hour, and will appear in throughput object on the status page. Any new names will trigger automatic creation of the given throughput counter.

kardia.throughput("incoming requests from customers");

kardia.clearThroughput(name);

Clear the throughput counter with the given name.

kardia.throughput("incoming requests from customers");

kardia.registerHealthcheck({ handler: (function), timeout: (integer)});

Register a new health check handler function.

After registering, the function you supplied will get called when an HTTP request is made against /health with a callback function as the first argument, and the current Kardia status output data as the second argument (so you can build checks around specific counters or variables from that, based on the exact need). Your application can then fulfill a meaningful health check and fire the supplied callback with a boolean true as the first argument (in case the service should be considered healthy), or an Error object (in case any error occurred and the service should be considered unhealthy).

When master-worker or otherwise multithreading is being used, it is intended that the health check be registered with the master process, as any worker process status data gets passed down to it within the callback arguments. Definitely check the master-worker cluster example.

Note that if the callback is not called within 15 seconds, Kardia will assume the service has become unresponsive. This timeout can be customized by calling the registerHealthcheck method using the latter example.

The recommended integration path of /check is that when any other HTTP code than 200 is received, the service should be considered unhealthy from a monitoring standpoint.

Health check registration example using a timeout of 5 seconds:

kardia.registerHealthcheck({
    handler: function(callback, currentStatus) {
        // do some health check logic here.
        if (allOk) {
            callback();
        } else {
            callback(err);
        }
    },
    timeout: 5
});

Or alternatively:

kardia.registerHealthcheck(function(callback, currentStatus) {
    // do some health check logic here.
    if (allOk) {
        callback();
    } else {
        callback(err);
    }
});

Built-in Consul health check integration

Kardia’s health check handler mechanism can be easily used with various monitoring tools, such as Consul. Furthermore, Kardia comes with a designated method (kardia.getConsulHealthcheck()) for obtaining the health check details for direct Consul integration, using the consul-node npm module.

Consul integration example (using [consul-node]() npm module):

consul.agent.service.register({ name: "my-service", check: kardia.getConsulHealthcheck() }, function(err) {
  if (err) throw err;
});

Health checks can be integrated to Consul by registering an HTTP check against an URL such as http://your.service.hostname:12900/health. Additionally, you may want to supply the following query string: ?service_name=your-service-name. By adding the service_name property in the query string, Kardia will check this against the given service name to make sure the health checks performed by Consul don’t end up accessing other services instead. This will reduce the risk of intermittent service registration errors in Docker based environments with dynamic ports. Using kardia.getConsulHealthcheck() will already include the use of service_name query string parameter.

Using Kardia with node’s cluster module (master-worker processes)

In multi-threaded node processes where there is a master and X workers, Kardia will start the status server interface only on the master — but on the worker you can execute all commands shown above in the exact similar manner as you would on the master.

Using Kardia to report increments to fluentd via UDP

In order to report counter increments to fluentd via UDP, specify fluentd daemon hostname and port in service configuration.

{
    "config": {
        "name": "example-service",
        "port": 12900,
        "debug": false,
        "fluentd": {
            "host": "127.0.0.1",
            "port": 1337,
            "sendInterval": 1000
        }
    }
}

Licence

MIT

Want to contribute?

You’re welcome! Please issue a pull request, and also keep an eye on updating the tests and the readme.

What’s the name about?

From Greek: kardia, meaning heart.

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