aws-embedded-metrics 3.2.0

Description:

awsembeddedmetrics 3.2.0

aws-embedded-metrics


Generate CloudWatch Metrics embedded within structured log events. The embedded metrics will be extracted so you can visualize and alarm on them for real-time incident detection. This allows you to monitor aggregated values while preserving the detailed event context that generated them.

Use Cases
Installation
Usage
API
Examples
Development

Use Cases


Generate custom metrics across compute environments

Easily generate custom metrics from Lambda functions without requiring custom batching code, making blocking network requests or relying on 3rd party software.
Other compute environments (EC2, On-prem, ECS, EKS, and other container environments) are supported by installing the CloudWatch Agent.

Examples can be found in examples/README.md





Linking metrics to high cardinality context
Using the Embedded Metric Format, you will be able to visualize and alarm on custom metrics, but also retain the original, detailed and high-cardinality context which is queryable using CloudWatch Logs Insights. For example, the library automatically injects environment metadata such as Lambda Function version, EC2 instance and image ids into the structured log event data.


Installation
pip3 install aws-embedded-metrics

Usage
To get a metric logger, you can decorate your function with a metric_scope:
from aws_embedded_metrics import metric_scope
from aws_embedded_metrics.storage_resolution import StorageResolution

@metric_scope
def my_handler(metrics):
metrics.put_dimensions({"Foo": "Bar"})
metrics.put_metric("ProcessingLatency", 100, "Milliseconds", StorageResolution.STANDARD)
metrics.put_metric("Memory.HeapUsed", 1600424.0, "Bytes", StorageResolution.HIGH)
metrics.set_property("AccountId", "123456789012")
metrics.set_property("RequestId", "422b1569-16f6-4a03")
metrics.set_property("DeviceId", "61270781-c6ac-46f1")

return {"message": "Hello!"}

API
MetricsLogger
The MetricsLogger is the interface you will use to publish embedded metrics.

put_metric(key: str, value: float, unit: str = "None", storage_resolution: int = 60) -> MetricsLogger

Adds a new metric to the current logger context. Multiple metrics using the same key will be appended to an array of values. Multiple metrics cannot have same key and different storage resolution. The Embedded Metric Format supports a maximum of 100 values per key. If more metric values are added than are supported by the format, the logger will be flushed to allow for new metric values to be captured.
Requirements:


Name Length 1-255 characters


Name must be ASCII characters only


Values must be in the range of 8.515920e-109 to 1.174271e+108. In addition, special values (for example, NaN, +Infinity, -Infinity) are not supported.


Metrics must meet CloudWatch Metrics requirements, otherwise a InvalidMetricError will be thrown. See MetricDatum for valid values.


Storage Resolution


An OPTIONAL value representing the storage resolution for the corresponding metric. Setting this to High specifies this metric as a high-resolution metric, so that CloudWatch stores the metric with sub-minute resolution down to one second. Setting this to Standard specifies this metric as a standard-resolution metric, which CloudWatch stores at 1-minute resolution. If a value is not provided, then a default value of Standard is assumed. See Cloud Watch High-Resolution metrics
Examples:
# Standard Resolution example
put_metric("Latency", 200, "Milliseconds")
put_metric("Latency", 201, "Milliseconds", StorageResolution.STANDARD)

# High Resolution example
put_metric("Memory.HeapUsed", 1600424.0, "Bytes", StorageResolution.HIGH)


set_property(key: str, value: Any) -> MetricsLogger

Adds or updates the value for a given property on this context. This value is not submitted to CloudWatch Metrics but is searchable by CloudWatch Logs Insights. This is useful for contextual and potentially high-cardinality data that is not appropriate for CloudWatch Metrics dimensions.
Requirements:

Length 1-255 characters

Examples:
set_property("RequestId", "422b1569-16f6-4a03-b8f0-fe3fd9b100f8")
set_property("InstanceId", "i-1234567890")
set_property("Device", {
"Id": "61270781-c6ac-46f1-baf7-22c808af8162",
"Name": "Transducer",
"Model": "PT-1234"
})


put_dimensions(dimensions: Dict[str, str]) -> MetricsLogger

Adds a new set of dimensions that will be associated to all metric values.
WARNING: Every distinct value will result in a new CloudWatch Metric.
If the cardinality of a particular value is expected to be high, you should consider
using setProperty instead.
Requirements:

Length 1-255 characters
ASCII characters only
Dimensions must meet CloudWatch Dimensions requirements, otherwise a InvalidDimensionError or DimensionSetExceededError will be thrown. See Dimensions for valid values.

Examples:
put_dimensions({ "Operation": "Aggregator" })
put_dimensions({ "Operation": "Aggregator", "DeviceType": "Actuator" })


set_dimensions(*dimensions: Dict[str, str], use_default: bool = False) -> MetricsLogger

Explicitly override all dimensions. By default, this will disable the default dimensions, but can be configured using the keyword-only parameter use_default.
WARNING: Every distinct value will result in a new CloudWatch Metric.
If the cardinality of a particular value is expected to be high, you should consider
using setProperty instead.
Requirements:

Length 1-255 characters
ASCII characters only
Dimensions must meet CloudWatch Dimensions requirements, otherwise a InvalidDimensionError or DimensionSetExceededError will be thrown. See Dimensions for valid values.

Examples:
set_dimensions(
{ "Operation": "Aggregator" },
{ "Operation": "Aggregator", "DeviceType": "Actuator" }
)

set_dimensions(
{ "Operation": "Aggregator" },
use_default=True # default dimensions would be enabled
)


reset_dimensions(use_default: bool) -> MetricsLogger

Explicitly clear all custom dimensions. The behavior of whether default dimensions should be used can be configured with the use_default parameter.
Examples:
reset_dimensions(False) # this will clear all custom dimensions as well as disable default dimensions


set_namespace(value: str) -> MetricsLogger

Sets the CloudWatch namespace that extracted metrics should be published to. If not set, a default value of aws-embedded-metrics will be used.
Requirements:

Name Length 1-255 characters
Name must be ASCII characters only
Namespace must meet CloudWatch Namespace requirements, otherwise a InvalidNamespaceError will be thrown. See Namespaces for valid values.

Examples:
set_namespace("MyApplication")


set_timestamp(timestamp: datetime) -> MetricsLogger

Sets the timestamp of the metrics. If not set, current time of the client will be used.
Timestamp must meet CloudWatch requirements, otherwise a InvalidTimestampError will be thrown. See Timestamps for valid values.
Examples:
set_timestamp(datetime.datetime.now())


flush()

Flushes the current MetricsContext to the configured sink and resets all properties and metric values. The namespace and default dimensions will be preserved across flushes.
Custom dimensions are not preserved by default, but this behavior can be changed by setting logger.flush_preserve_dimensions = True, so that custom dimensions would be preserved after each flushing thereafter.
Example:
logger.flush() # only default dimensions will be preserved after each flush()

logger.flush_preserve_dimensions = True
logger.flush() # custom dimensions and default dimensions will be preserved after each flush()

logger.reset_dimensions(False)
logger.flush() # default dimensions are disabled; no dimensions will be preserved after each flush()

Configuration
All configuration values can be set using environment variables with the prefix (AWS_EMF_). Configuration should be performed as close to application start up as possible.
ServiceName: Overrides the name of the service. For services where the name cannot be inferred (e.g. Java process running on EC2), a default value of Unknown will be used if not explicitly set.
Requirements:

Name Length 1-255 characters
Name must be ASCII characters only

Example:
# in process
from aws_embedded_metrics.config import get_config
Config = get_config()
Config.service_name = "MyApp"

# environment
AWS_EMF_SERVICE_NAME = MyApp

ServiceType: Overrides the type of the service. For services where the type cannot be inferred (e.g. Java process running on EC2), a default value of Unknown will be used if not explicitly set.
Requirements:

Name Length 1-255 characters
Name must be ASCII characters only

Example:
# in process
from aws_embedded_metrics.config import get_config
Config = get_config()
Config.service_type = "NodeJSWebApp"

# environment
AWS_EMF_SERVICE_TYPE = NodeJSWebApp

LogGroupName: For agent-based platforms, you may optionally configure the destination log group that metrics should be delivered to. This value will be passed from the library to the agent in the Embedded Metric payload. If a LogGroup is not provided, the default value will be derived from the service name: -metrics
Requirements:

Name Length 1-512 characters
Log group names consist of the following characters: a-z, A-Z, 0-9, '_' (underscore), '-' (hyphen), '/' (forward slash), and '.' (period). Pattern: [.-_/#A-Za-z0-9]+

Example:
# in process
from aws_embedded_metrics.config import get_config
Config = get_config()
Config.log_group_name = "LogGroupName"

# environment
AWS_EMF_LOG_GROUP_NAME = LogGroupName

LogStreamName: For agent-based platforms, you may optionally configure the destination log stream that metrics should be delivered to. This value will be passed from the library to the agent in the Embedded Metric payload. If a LogGroup is not provided, the default value will be derived by the agent (this will likely be the hostname).
Requirements:

Name Length 1-512 characters
The ':' (colon) and '*' (asterisk) characters are not allowed. Pattern: [^:]*

Example:
# in process
from aws_embedded_metrics.config import get_config
Config = get_config()
Config.log_stream_name = "LogStreamName"

# environment
AWS_EMF_LOG_STREAM_NAME = LogStreamName

NameSpace: Overrides the CloudWatch namespace. If not set, a default value of aws-embedded-metrics will be used.
Requirements:

Name Length 1-512 characters
Name must be ASCII characters only

Example:
# in process
from aws_embedded_metrics.config import get_config
Config = get_config()
Config.namespace = "MyApplication"

# environment
AWS_EMF_NAMESPACE = MyApplication

DISABLE_METRIC_EXTRACTION: Disables extraction of metrics by CloudWatch, by omitting EMF
metadata from serialized log records.
Example:
# in process
from aws_embedded_metrics.config import get_config
Config = get_config()
Config.disable_metric_extraction = True

# environment
AWS_EMF_DISABLE_METRIC_EXTRACTION = true

Examples
Check out the examples directory to get started.
Development

Install Test Dependencies

pip install tox


Run tests

tox


Integration tests. These tests require Docker to run the CloudWatch Agent and valid AWS credentials. Tests can be run by:

export AWS_ACCESS_KEY_ID=
export AWS_SECRET_ACCESS_KEY=
export AWS_REGION=us-west-2
./bin/run-integ-tests.sh

License
This project is licensed under the Apache-2.0 License.