opencensus-ext-azure 0.7.1

Log

The Azure Monitor Log Handler allows you to export Python logs to Azure Monitor.

This example shows how to send a warning level log to Azure Monitor.

• Create an Azure Monitor resource and get the instrumentation key, more information can be found here.

• Put the instrumentation key in APPINSIGHTS_INSTRUMENTATIONKEY environment variable.

• You can also specify the instrumentation key explicitly in the code, which will take priority over a set environment variable.

import logging

from opencensus.ext.azure.log_exporter import AzureLogHandler

logger = logging.getLogger(__name__)
logger.addHandler(AzureLogHandler())
logger.warning('Hello, World!')

You can enrich the logs with trace IDs and span IDs by using the logging integration.

• Create an Azure Monitor resource and get the instrumentation key, more information can be found here.

• Install the logging integration package using pip install opencensus-ext-logging.

• Put the instrumentation key in APPINSIGHTS_INSTRUMENTATIONKEY environment variable.

• You can also specify the instrumentation key explicitly in the code, which will take priority over a set environment variable.

import logging

from opencensus.ext.azure.log_exporter import AzureLogHandler
from opencensus.ext.azure.trace_exporter import AzureExporter
from opencensus.trace import config_integration
from opencensus.trace.samplers import ProbabilitySampler
from opencensus.trace.tracer import Tracer

config_integration.trace_integrations(['logging'])

logger = logging.getLogger(__name__)

handler = AzureLogHandler()
handler.setFormatter(logging.Formatter('%(traceId)s %(spanId)s %(message)s'))
logger.addHandler(handler)

tracer = Tracer(exporter=AzureExporter(), sampler=ProbabilitySampler(1.0))

logger.warning('Before the span')
with tracer.span(name='test'):
    logger.warning('In the span')
logger.warning('After the span')

Metrics

The Azure Monitor Metrics Exporter allows you to export metrics to Azure Monitor.

• Create an Azure Monitor resource and get the instrumentation key, more information can be found here.

• Put the instrumentation key in APPINSIGHTS_INSTRUMENTATIONKEY environment variable.

• You can also specify the instrumentation key explicitly in the code, which will take priority over a set environment variable.

import time

from opencensus.ext.azure import metrics_exporter
from opencensus.stats import aggregation as aggregation_module
from opencensus.stats import measure as measure_module
from opencensus.stats import stats as stats_module
from opencensus.stats import view as view_module
from opencensus.tags import tag_map as tag_map_module

stats = stats_module.stats
view_manager = stats.view_manager
stats_recorder = stats.stats_recorder

CARROTS_MEASURE = measure_module.MeasureInt("carrots",
                                            "number of carrots",
                                            "carrots")
CARROTS_VIEW = view_module.View("carrots_view",
                                "number of carrots",
                                [],
                                CARROTS_MEASURE,
                                aggregation_module.CountAggregation())

def main():
    # Enable metrics
    # Set the interval in seconds in which you want to send metrics
    exporter = metrics_exporter.new_metrics_exporter()
    view_manager.register_exporter(exporter)

    view_manager.register_view(CARROTS_VIEW)
    mmap = stats_recorder.new_measurement_map()
    tmap = tag_map_module.TagMap()

    mmap.measure_int_put(CARROTS_MEASURE, 1000)
    mmap.record(tmap)
    # Default export interval is every 15.0s
    # Your application should run for at least this amount
    # of time so the exporter will meet this interval
    # Sleep can fulfill this
    time.sleep(60)

    print("Done recording metrics")

if __name__ == "__main__":
    main()

The exporter also includes a set of standard metrics that are exported to Azure Monitor by default.

import psutil
import time

from opencensus.ext.azure import metrics_exporter

def main():
    # All you need is the next line. You can disable standard metrics by
    # passing in enable_standard_metrics=False into the constructor of
    # new_metrics_exporter()
    _exporter = metrics_exporter.new_metrics_exporter()

    for i in range(100):
        print(psutil.virtual_memory())
        time.sleep(5)

    print("Done recording metrics")

if __name__ == "__main__":
    main()

Below is a list of standard metrics that are currently available:

• Available Memory (bytes)

• CPU Processor Time (percentage)

• Incoming Request Rate (per second)

• Outgoing Request Rate (per second)

• Process CPU Usage (percentage)

• Process Private Bytes (bytes)

Trace

The Azure Monitor Trace Exporter allows you to export OpenCensus traces to Azure Monitor.

This example shows how to send a span “hello” to Azure Monitor.

• Create an Azure Monitor resource and get the instrumentation key, more information can be found here.

• Put the instrumentation key in APPINSIGHTS_INSTRUMENTATIONKEY environment variable.

• You can also specify the instrumentation key explicitly in the code, which will take priority over a set environment variable.

from opencensus.ext.azure.trace_exporter import AzureExporter
from opencensus.trace.samplers import ProbabilitySampler
from opencensus.trace.tracer import Tracer

tracer = Tracer(exporter=AzureExporter(), sampler=ProbabilitySampler(1.0))

with tracer.span(name='hello'):
    print('Hello, World!')

You can also specify the instrumentation key explicitly in the code.

• Create an Azure Monitor resource and get the instrumentation key, more information can be found here.

• Install the requests integration package using pip install opencensus-ext-requests.

• Put the instrumentation key in APPINSIGHTS_INSTRUMENTATIONKEY environment variable.

• You can also specify the instrumentation key explicitly in the code, which will take priority over a set environment variable.

import requests

from opencensus.ext.azure.trace_exporter import AzureExporter
from opencensus.trace import config_integration
from opencensus.trace.samplers import ProbabilitySampler
from opencensus.trace.tracer import Tracer

config_integration.trace_integrations(['requests'])
tracer = Tracer(
    exporter=AzureExporter(
        # TODO: replace this with your own instrumentation key.
        instrumentation_key='00000000-0000-0000-0000-000000000000',
    ),
    sampler=ProbabilitySampler(1.0),
)
with tracer.span(name='parent'):
    response = requests.get(url='https://www.wikipedia.org/wiki/Rabbit')