Quickstart¶

Installing opencensus-ext-newrelic¶

To start, the opencensus-ext-newrelic package must be installed. To install through pip:

$ pip install opencensus-ext-newrelic

If that fails, download the library from its GitHub page and install it using:

$ python setup.py install

Using the trace exporter¶

The example code assumes you’ve set the following environment variables:

NEW_RELIC_INSERT_KEY

import os
import time
from opencensus.trace.tracer import Tracer
from opencensus.trace import samplers
from opencensus_ext_newrelic import NewRelicTraceExporter

newrelic = NewRelicTraceExporter(
    insert_key=os.environ["NEW_RELIC_INSERT_KEY"], service_name="Example Service"
)

tracer = Tracer(exporter=newrelic, sampler=samplers.AlwaysOnSampler())

with tracer.span(name="main") as span:
    time.sleep(0.5)

# Send all data and stop the exporter
newrelic.stop()

Using the stats exporter¶

Metrics are an excellent way to expose aggregated information about your application. The stats exporter allows metrics to be exported from opencensus to New Relic.

The example code assumes you’ve set the following environment variables:

NEW_RELIC_INSERT_KEY

import os
import time
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_ext_newrelic import NewRelicStatsExporter

# The stats recorder
stats = stats_module.stats
view_manager = stats.view_manager
stats_recorder = stats.stats_recorder
newrelic = NewRelicStatsExporter(
    os.environ["NEW_RELIC_INSERT_KEY"], service_name="Example Service"
)
view_manager.register_exporter(newrelic)

# Create the measures and views
# The latency in milliseconds
m_latency_ms = measure_module.MeasureFloat(
    "task_latency", "The task latency in milliseconds", "ms"
)

latency_view = view_module.View(
    "task_latency_latest",
    "The latest task latency",
    [],
    m_latency_ms,
    aggregation_module.LastValueAggregation(),
)

view_manager.register_view(latency_view)
mmap = stats_recorder.new_measurement_map()

# Record a metric
mmap.measure_float_put(m_latency_ms, 50)
mmap.record()

# Send all data and stop the exporter
newrelic.stop()

Find and use data¶

Tips on how to find and query your data in New Relic:

For general querying information, see: