Overview

Google Cloud Observability provides monitoring, logging, and diagnostics for Pythonapps.

Python libraries are available for the followingGoogle Cloud Observability services:

• Error Reporting
• Cloud Logging
• Cloud Monitoring
• Cloud Trace
• Cloud Profiler

Error Reporting

Error Reporting aggregates and displays errors produced in your running Python apps.To get started with Error Reporting, seeSetting up Error Reporting for Python.

Cloud Logging

Cloud Logging lets you store, search, analyze, monitor, and set alerts on log data and eventsin Python apps. Logging provides Bunyan and Winstonplugins, as well as a Cloud Logging API client library. To get started withLogging, seeSetting up Cloud Logging for Python.

Cloud Monitoring

Cloud Monitoring collects metrics, events, and metadata from Python apps.Google Cloud Observability uses that data to generate dashboards, charts, and alerts.

For more information, see the following topics:

• Cloud Client Libraries for the Cloud Monitoring API
• Creating custom metrics
• Reading metrics
• Browsing metrics
• Python client library for the Cloud Monitoring API on GitHub

Cloud Trace

Cloud Trace is a distributed tracing system forGoogle Cloud that collects latency data from apps and displays it in nearreal time in the Google Cloud console. For more information, seeCloud Trace documentation.

Cloud Profiler

Cloud Profiler is astatistical, low-overhead profiler that continuously gathers CPU usage andmemory-allocation information from your production applications. It attributesthat information to the application's source code, helping you identify theparts of the application consuming the most resources, and otherwiseilluminating the performance characteristics of the code. For more information,seeProfiling Python apps.