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      • Building a CI/CD pipeline in GitLab
      • GitLab Runner execution in Serverless Containers
      • Creating a budget trigger that invokes a Cloud Functions function to stop VM instances
      • Automatically copying objects from one Object Storage bucket to another
      • Running computations on a schedule in DataSphere
      • Recognizing audio files from Object Storage on a regular basis
      • Deploying a fault-tolerant architecture with preemptible VMs
      • Creating triggers that invoke Cloud Functions functions to stop a VM and send Telegram notifications
      • Running computations in DataSphere using the API
      • Configuring CI/CD between Cloud Functions and SourceCraft
      • Configuring CI/CD between Cloud Functions and GitHub
      • Setting up CI/CD in SourceCraft to deploy an application in Serverless Containers using GitHub Actions
      • Automatic data upload to Yandex SpeechSense using Yandex Workflows
      • Configuring responses in Cloud Logging and Yandex Cloud Functions
      • Scheduled image and PDF recognition in an Object Storage bucket
      • Setting up Workflows integration with Tracker, YandexGPT, and Yandex Cloud Postbox

In this article:

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  1. Serverless technologies
  2. Serverless-based workflows and automation
  3. Configuring responses in Cloud Logging and Yandex Cloud Functions

Configuring responses in Yandex Cloud Logging and Yandex Cloud Functions

Written by
Yandex Cloud
Updated at June 4, 2025
  • How it works
  • Implementation example
  • What's next

You can configure Cloud Functions to automatically respond to audit log events, e.g., to send messages through notification channels you prefer or automatically modify Yandex Cloud resource settings.

How it worksHow it works

In general, you will need the following components to configure responses via Cloud Functions:

  1. Trail that uploads audit logs to a log group.
  2. Log group that acts as an interface between the trail and a Cloud Functions trigger.
  3. Yandex Cloud Logging trigger that invokes a function when adding a record to a log group.
  4. Cloud Functions function that implements the response logic.
  5. Optional auxiliary component, such as a Telegram bot or mail server.

Implementation exampleImplementation example

Yc-security-solutions-library contains a solution example that uses Cloud Functions to notify of specific events via a Telegram bot and modify Yandex Cloud resources in line with changes using API methods.

You can get notifications of the following events:

  • Security groups: Allowing incoming traffic to all private addresses (0.0.0.0/0).
  • Object Storage: Enabling public access to buckets.
  • Yandex Lockbox: Assigning permissions to a secret.

The following actions may be performed on Yandex Cloud resources:

  • Security groups: Deleting the rule.
  • Yandex Lockbox: Removing assigned permissions to the secret.

Note

Yandex Cloud Security Solution Library is a public repo on GitHub with a set of examples and recommendations on how to build a secure infrastructure in Yandex Cloud.

This solution contains the source codes of a Python function and a Terraform script that configures all the required Yandex Cloud components.

What's nextWhat's next

  • Learn more about the audit log format.
  • Learn about existing solutions to export audit logs to SIEM.

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