appsignal

How to use custom metrics

Robert Beekman

Robert Beekman on

How to use custom metrics

Deeper insights with custom metrics

With the AppSignal gem you could already use custom instrumentation to get more details about your application performance. But sometimes you want to track other metrics as well.

With the 1.0 release of our gem, you can send custom metrics to AppSignal. These metrics enable you to track anything in your application, from new accounts to database disk usage. These are not replacements for code instrumentation, but an additional way to make certain data in your code more accessible and measureable over time.

We offer three types of metrics:

Gauge

A number you can overwrite useful to store things like user count.

Counter

A number that can be incremented by the given value, useful to count the times a process runs for example.

Distribution

A collection of numbers for wich we store the average and the count. Useful to track average sale amount.

The AppSignal gem has a methods for each of these metrics types. You can use these methods to send data to our systems.

Gauge

The gauge is ideal for metrics that can both increase and decrease. We use the gauge in AppSignal to graph the number of active accounts.

Ruby
count = Account.active.count Appsignal.set_gauge('account_count', count)

Counter

As the name suggests, counters are a great way to keep track of how many times something happens. Our workers process a payload that contains multiple data points. This means the count of the job doesn't accurately represent the amount of data we process. With the counter we increment for each data point we process.

Ruby
minute.metrics.each do |metric| Appsignal.increment_counter('metric_count', metric.length) end

Distribution

We use distributions to measure the average time a piece of code takes to execute. For example a job can run multiple map/reduce jobs and even though we track the duration with instrumentation, we still want to see the average duration for each job in a nice graph.

Ruby
Appsignal.add_distribution_value('mapreduce_duration', MapReduce::Minutely.new.run.time)

Turning metrics into graphs

Sending metrics to AppSignal is only half of the story, after sending data we need to create graphs to show the metrics. We do this in the editor on the "custom metrics" page.

Custom metrics editor

Our custom metrics feature allows you to create multiple screens with graphs. You can define the screens and the graphs on these screens through a YAML format.

For example to create a screen with account releaed graphs, showing a graph with the number of accounts you can use the following YAML:

YAML
- title: Account overview graphs: - title: "Number of accounts" kind: gauge format: number fields: - account_count

This wil result in the following page:

Custom metrics editor

Instead of a list with fields you can also provide a regex that matches one or more metric names. The example below renders a graph with lines for each API response code for a 3rd party API.

YAML
- title: API Responses graphs: - title: "API response codes" kind: count filter: "api_response_code_[0-9]+" format: number

These are just a few of many useful metrics you can now track with AppSignal. For more information about custom metrics, check our documentation or contact us if you need any help setting this up for your account.

Robert Beekman

Robert Beekman

As a co-founder, Robert wrote our very first commit. He's also our support role-model and knows all about the tiny details in code. Travels and photographs (at the same time).

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