Metrics API

To follow the metrics protocol objects must be iterable repeatedly and yield (name, value, tags)-triples, where name is a string, value is a float or int, and tags is a dict with string keys and values.

class lymph.core.monitoring.metrics.Metric(name, tags=None)

An abstract base class for single series metrics, i.e. metric objects that only yield a single triple.

__iter__()

[abstract] Yields metric values as a tuple in the form (name, value, tags).

class lymph.core.monitoring.metrics.Gauge(name, value=0, tags=None)

A gauge is a metric that represents a single numerical value that can arbitrarily go up and down.

set(value)

class lymph.core.monitoring.metrics.Callable(name, func, tags=None)

Like a Gauge metric, but its value is determined by a callable.

class lymph.core.monitoring.metrics.Counter(name, tags=None)

A counter is a cumulative metric that represents a single numerical value that only ever goes up. A counter is typically used to count requests served, tasks completed, errors occurred, etc.

__iadd__(value)

Increment counter value.

class lymph.core.monitoring.metrics.TaggedCounter(name, tags=None)

A tagged counter is a container metric that represents multiple counters per tags. A tagged counter is typically used to track a group of counters as one e.g. request served per function name, errors ocurred per exception name, etc.

incr(_by=1, **tags)

Increment given counter type by _by.

class lymph.core.monitoring.metrics.Aggregate(metrics=(), tags=None)

Parameters:

• metrics – iterable of metric objects
• tags – dict of tags to add to all metrics.

Aggregates a collection of metrics into a single metrics object.

add(metric)

Parameters:metric – metric object

Adds the given metric to collection.

add_tags(**tags)

Parameters:tags – string-valued dict

Adds the given tags for all metrics.