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Build an Audit Logging System for Cloud Applications

Track user activities, resource changes, login events, and administrative actions across your cloud applications to meet compliance, security, and debugging needs.

Why Audit Logging Matters

Audit logging is essential for visibility, security forensics, compliance (like SOC2, HIPAA), and debugging. By monitoring user actions and system events, you can detect policy violations, troubleshoot incidents, and track unauthorized access attempts.

Project Goals

Build a robust logging system that collects and indexes structured audit logs from application components, cloud platforms, and identity providers. Create dashboards and alerting systems for critical event types like unauthorized access or configuration changes.

Key Features to Build

User Activity Tracking

Capture user logins, password changes, permission grants, and actions within your application.

Configuration Change Auditing

Log infrastructure or resource-level changes such as policy updates, database schema changes, or IAM modifications.

Cloud Provider Audit Logs

Integrate logs from AWS CloudTrail, GCP Cloud Audit Logs, or Azure Monitor Activity Logs.

Searchable Dashboard and Alerts

Use tools like ELK Stack, CloudWatch Insights, or Google Logging to visualize and alert on key events.

System Architecture Overview

Application-level logs and cloud infrastructure events are collected using log shippers or native services and streamed to a centralized log store. You can use a dashboard like Kibana or a managed viewer like CloudWatch Logs Insights to monitor suspicious activity or failure events.

  • Log Sources: Application logs, CloudTrail, IAM events, VPC logs
  • Ingestion: Filebeat, Fluentd, AWS Kinesis, Pub/Sub
  • Storage: Elasticsearch, BigQuery, AWS CloudWatch Logs
  • Visualization: Kibana, Grafana, GCP Logging Viewer
  • Alerting: CloudWatch Alarms, Elastic Alerting, Slack webhook integrations
Tech Stack Recommendations

Log Ingestion & Collection

Filebeat, Fluent Bit, AWS CloudWatch Agent, GCP Ops Agent

Log Aggregation & Indexing

Elasticsearch, BigQuery, Amazon OpenSearch

Dashboards & Queries

Kibana, Grafana, CloudWatch Insights, Stackdriver Logging

Alerting Systems

PagerDuty, Slack Alerts, AWS SNS, Opsgenie, Email

Step-by-Step Development Plan

1. Define Log Event Schema

Decide what events to track — user login, permission changes, config updates — and standardize log formats (JSON, Syslog).

2. Set Up Ingestion Pipelines

Use log shippers or cloud-native agents to collect logs from apps and services.

3. Configure Central Storage

Send logs to a searchable and scalable backend like Elasticsearch or BigQuery.

4. Build Dashboards

Visualize critical activity using Kibana or Stackdriver dashboards, and apply filters for key patterns.

5. Enable Alerting and Retention

Set up alert rules for anomalies or security events and implement a retention policy (30/60/90 days) for compliance.

Helpful Learning Resources

Make Every Event Traceable

Develop a scalable audit logging solution that captures key events, ensures compliance, and strengthens your cloud app’s security posture.

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