Cloud Logging documentation

Cloud Logging documentation

Overview

Training and tutorials

Use cases

Code samples

Videos

Cloud Logging is a fully managed service that allows you to store, search, analyze, monitor, and alert on logging data and events from Google Cloud and Amazon Web Services. You can collect logging data from over 150 common application components, on-premises systems, and hybrid cloud systems.

Logging includes storage for logs through log buckets, a user interface called the Logs Explorer, and an API to manage logs programmatically. Logging lets you read and write log entries, query your logs, and control how you route and use your logs.

Guides

• Quickstart: Write and query log entries with the gcloud CLI

• Quickstart: Write and query log entries using a Python script

• Using the Logs Explorer

• Logging query language

• Building queries

• Log Router overview

• About the Ops Agent

• Log-based metrics

• More  

Reference

• REST API

• RPC API

• Logging Client Libraries

• Command-line interface

• Monitored resources and services

• Introduction to the Cloud Logging API v2

• More  

Resources

• Quotas and limits

• Release notes

• Support

• Pricing

• More  

Training and tutorials

Try Logging tutorials, courses, and self-paced training from Google Cloud Skills Boost.

Training

Monitoring and logging for Cloud Functions

This hands-on lab shows you how to view your Cloud Functions with their execution times, execution counts, and memory usage in the Google Cloud console. These metrics are also available in Cloud Monitoring.

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Training

Creating and alerting on logs-based metrics

This hands-on lab shows you how to use both system and user-defined logs-based metrics to create charts and alerting policies.

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Tutorial

Customizing logs for Google Kubernetes Engine with Fluentd

This tutorial describes how to customize Fluentd logging for a GKEcluster.

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Tutorial

Compliance requirements

This tutorial shows how to export logs from Logging to Cloud Storage to meet your organization's compliance requirements.

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Tutorial

Security and access analytics

This tutorial shows how to export logs from Logging to BigQuery to meet the security and analytics requirements of your organization's cloud infrastructure environment.

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Use cases

Explore use cases, reference architectures, whitepapers, best practices, and industry solutions.

Use case

Storing your organization's logs in a log bucket

Learn how to store your organization's logs in a single source.

Logging Logs Buckets

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Use case

Multi-tenant logging on Google Kubernetes Engine.

Learn how to configure multi-tenant logging for GKE clusters.

Logging GKE Multi-tenant

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Use case

Regionalizing your project's logs using log buckets

Learn how to store your logs data in a designated region.

Data residency Regionalization Logging

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Code samples

Dive into coding with examples that demonstrate how to use and connect Google Cloud services.

google cloud

Log Entries: Write

Learn how to write log entries in Go, Java, Python, Node.js, C#, and PHP

Get started  

google cloud

Log Entries: Advanced Write

Learn how to write log entries in Go, Java, Python, Node.js, C#, and PHP

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google cloud

Log Entries: List

Learn how to list log entries in Go, Java, Python, Node.js, C#, and PHP

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google cloud

Logs: Delete

Learn how to delete log entries in Go, Java, Python, Node.js, C#, and PHP

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google cloud

Setting up Cloud Logging for Go

Create a VM instance with Python

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More samples

More logging-specific samples

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Videos