sparkle-log 0.1.0

Write sparkline graphs of CPU and memory usage to your logs.

sparkle_log

Write a spark line graph of CPU, Memory, etc to the python log

Install

pip install sparkle_log

Usage

This will write up to 15 log entries to your AWS Lambda log, one per minute. Very light-weight, cheap, immediately correlates to your other print statements and log entries.

If logging is less than INFO, then no data is collected.

As a decorator

import sparkle_log
import logging

logging.basicConfig(level=logging.INFO)


@sparkle_log.monitor_metrics_on_call(("cpu", "memory"), 60)
def handler_name(event, context) -> str:
    return "Hello world!"

As a context manager:

import time
import sparkle_log
import logging

logging.basicConfig(level=logging.INFO)


def handler_name(event, context) -> str:
    with sparkle_log.MetricsLoggingContext(metrics=("cpu", "memory"), interval=5):
        time.sleep(20)
        return "Hello world!"

Prior art

You could also use container insights or htop. This tool should provide the most value when the server is headless and you only have logging or no easy way to correlate log entries to graphs.