Quickstart

Installing newrelic_telemetry_sdk

To start, the newrelic_telemetry_sdk package must be installed. To install through pip:

$ pip install newrelic-telemetry-sdk

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

$ python setup.py install

Reporting your first metric

There are 3 different types of metrics:

Metric descriptions

Metric type

Interval required

Description

Example

Gauge

No

A single value at a single point in time.

Room Temperature.

Count

Yes

Track the total number of occurrences of an event.

Number of errors that have occurred.

Summary

Yes

Track count, sum, min, and max values over time.

The summarized duration of 100 HTTP requests.

Example

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

  • NEW_RELIC_INSERT_KEY

import os
import time
from newrelic_telemetry_sdk import GaugeMetric, CountMetric, SummaryMetric, MetricClient

metric_client = MetricClient(os.environ["NEW_RELIC_INSERT_KEY"])

temperature = GaugeMetric("temperature", 78.6, {"units": "Farenheit"})

# Record that there have been 5 errors in the last 2 seconds
errors = CountMetric(name="errors", value=5, interval_ms=2000)

# Record a summary of 10 response times over the last 2 seconds
summary = SummaryMetric(
    "responses", count=10, min=0.2, max=0.5, sum=4.7, interval_ms=2000
)

batch = [temperature, errors, summary]
response = metric_client.send_batch(batch)
response.raise_for_status()
print("Sent metrics successfully!")

Reporting your first event

Events represent a record of something that has occurred on a system being monitored. The example code assumes you’ve set the following environment variables:

  • NEW_RELIC_INSERT_KEY

import os
import time
from newrelic_telemetry_sdk import Event, EventClient

# Record that a rate limit has been applied to an endpoint for an account
event = Event(
    "RateLimit", {"path": "/v1/endpoint", "accountId": 1000, "rejectRatio": 0.1}
)

event_client = EventClient(os.environ["NEW_RELIC_INSERT_KEY"])
response = event_client.send(event)
response.raise_for_status()
print("Event sent successfully!")

Reporting your first log message

Log messages are generated by applications, usually via the Python logging module. These messages are used to audit and diagnose issues with an operating application. The example code assumes you’ve set the following environment variables:

  • NEW_RELIC_INSERT_KEY

import os

from newrelic_telemetry_sdk import Log, LogClient

log = Log("Hello World!")

log_client = LogClient(os.environ["NEW_RELIC_INSERT_KEY"])
response = log_client.send(log)
response.raise_for_status()
print("Log sent successfully!")

Reporting your first span

Spans provide an easy way to time components of your code. The example code assumes you’ve set the following environment variables:

  • NEW_RELIC_INSERT_KEY

import os
import time
from newrelic_telemetry_sdk import Span, SpanClient

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

span_client = SpanClient(os.environ["NEW_RELIC_INSERT_KEY"])
response = span_client.send(span)
response.raise_for_status()
print("Span sleep sent successfully!")

Find and use data

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

For general querying information, see: