AWS CloudTrail vs Azure Monitor Activity Logs vs Google Cloud Audit Logs

Overview
Cloud auditing services provide transparency into user and system activity across your cloud environment. They are critical for governance, security, compliance, and operational troubleshooting. Here's a detailed comparison:
Feature | AWS CloudTrail | Azure Monitor Activity Logs | Google Cloud Audit Logs |
---|---|---|---|
Scope | API-level auditing across AWS | Control-plane activities on Azure resources | Admin, Data Access, and System logs |
Delivery | Event logs sent to CloudWatch, S3 | Accessible in Azure Monitor, Log Analytics | Logs stored in Cloud Logging |
Retention | Configurable (default 90 days, extendable via S3) | 90 days in Monitor (extendable via Log Analytics) | Admin logs: 400 days, Data access logs optional |
Multi-account | Supported via AWS Organizations | Managed via Azure Lighthouse | Managed via Cloud Monitoring scopes |
Integration | CloudWatch, S3, SNS, Lambda | Azure Sentinel, Event Grid, Log Analytics | Pub/Sub, BigQuery, Cloud Functions |
1. AWS CloudTrail – Detailed Breakdown
Architecture & Capabilities
-
Tracks: All account activity, including API calls via AWS CLI, SDKs, Console, and services.
-
Delivery Targets:
-
CloudWatch Logs (for real-time monitoring)
-
Amazon S3 (for long-term archival)
-
Amazon SNS (for notifications)
-
-
Trail Types:
-
Management events: CRUD actions on resources
-
Data events: S3, Lambda, DynamoDB object-level access
-
Insight events: Detect unusual activity patterns
-
On-Premise Monitoring Integration
-
CloudTrail cannot directly monitor on-prem.
-
You can use AWS Systems Manager Hybrid Activation with CloudWatch Agent on on-prem systems to forward logs.
-
Alternatively, use AWS CloudTrail Lake to ingest external telemetry through the PutAuditEvents API.
Security & Compliance
-
All events are signed and encrypted.
-
Integration with AWS Config ensures full visibility of configuration changes.
Retention Strategy
-
Send to S3 for long-term compliance (up to 7+ years)
-
Use S3 Lifecycle policies for archive transition and deletion.
Flow Integration Example
mermaid
CopyEdit
graph LR A[AWS Console/CLI/API] --> B[CloudTrail] B --> C[CloudWatch Logs] B --> D[S3 Bucket] C --> E[Alerts via SNS]
2. Azure Monitor Activity Logs – Detailed Breakdown
Architecture & Capabilities
-
Tracks: Write operations (control-plane) performed on Azure resources.
-
Does not track data-plane activities (use Diagnostic Logs for this).
-
Delivered To:
-
Azure Monitor (by default)
-
Log Analytics (via Diagnostic Settings)
-
Azure Event Hub / Storage Account
-
Matrix & Rules
-
Activity Logs + Diagnostic Logs allow building complex Log Analytics queries.
-
Define Azure Monitor Alert rules with log signal types.
-
You can correlate user actions via Azure Resource Graph.
Monitoring Hybrid Systems
-
Use Azure Arc to connect and manage on-prem and multi-cloud environments.
-
Send custom logs from on-prem systems using Azure Monitor Agent or legacy Log Analytics Agent.
Retention Strategy
-
Default: 90 days
-
Extended: Via Log Analytics workspace retention policy
3. Google Cloud Audit Logs – Detailed Breakdown
Architecture & Types of Logs
-
Admin Activity Logs (always on, free)
-
Data Access Logs (optional and billable)
-
System Event Logs
-
Policy Denied Logs (IAM policy violations)
Export Options
-
Cloud Logging is the central destination.
-
Logs can be routed to:
-
BigQuery (analytics)
-
Cloud Storage (archival)
-
Pub/Sub (stream processing)
-
Flow Integration
mermaid
CopyEdit
graph TD X[GCP Admin/API Call] --> Y[Cloud Audit Logs] Y --> Z1[Cloud Logging] Z1 --> Z2[BigQuery] Z1 --> Z3[Cloud Storage] Z1 --> Z4[Pub/Sub]
Retention Strategy
-
Default retention in Cloud Logging is:
-
30 days (customizable)
-
Admin logs retained for 400 days (in some services)
-
Export for long-term compliance
-
Common Integration Scenarios
Use Case | CloudTrail | Azure Monitor | GCP Audit Logs |
---|---|---|---|
SIEM Integration | AWS CloudTrail → S3 → Splunk/SentinelOne | Diagnostic Settings → Azure Sentinel | Pub/Sub → Splunk |
Multi-Region Logs | Yes (Global trail) | Region-specific, must consolidate | Log Router handles regional exports |
Compliance (PCI, HIPAA) | Built-in templates and compliance reports | Defender for Cloud + Compliance Manager | Compliance Reports + Assured Workloads |
Challenges & Considerations
1. Data Volume & Cost
-
Data events (S3, GCP storage access) generate high volumes – monitor for cost.
-
Enable logs selectively using include/exclude filters.
2. Hybrid/On-Prem Support
-
Native cloud audit logs don’t monitor on-prem.
-
Requires custom log shipping agents:
-
CloudTrail Lake or CloudWatch Agent (AWS)
-
Azure Monitor Agent or Azure Arc (Azure)
-
Custom logs to Cloud Logging via Pub/Sub or API (GCP)
-
3. Log Retention and Security
-
Default retention often insufficient for compliance needs.
-
Secure archival (encryption, bucket policies) is required.
-
Ensure log immutability using S3 Object Lock or Azure Immutable Storage.
4. Multi-Account & Federation
-
AWS: Use Organizations with delegated admin
-
Azure: Centralized management via Azure Lighthouse
-
GCP: Organization-level scoping and folder-level audit configs
Dependencies & Best Practices
Area | AWS CloudTrail | Azure Monitor | GCP Audit Logs |
---|---|---|---|
Dependency | CloudWatch, S3, SNS | Log Analytics, Event Hub | Cloud Logging |
IAM/Policy Required | cloudtrail:LookupEvents , s3:PutObject |
Log Analytics write role | logging.viewer , pubsub.publisher |
Archival | S3 Lifecycle + Glacier | Log Analytics to Storage Account | Export to Cloud Storage |
Alerting | CloudWatch Alarms | Monitor Alerts + Sentinel Rules | Cloud Monitoring alerts |
Cloud Cost Optimization & Platform Guidance – Tailored for You
Whether you're planning a move to the cloud or looking to reduce ongoing infrastructure costs, we’re here to help.
Our team of certified AWS, Azure, and Google Cloud experts will work closely with you to:
-
Analyze your current cloud or on-prem environment.
-
Identify real, actionable cost-saving opportunities.
-
Recommend the right cloud platform (AWS, Azure, or GCP) based on your business needs, compliance goals, and technical workloads.
-
Suggest optimized use of AI, security, and compute services to enhance efficiency and innovation.
From small startups to enterprise workloads, we guide you toward smarter, leaner, and more scalable cloud solutions.
Feel free to connect with us today — get your cloud assessment and cost optimization report, customized just for your infrastructure.
Disclaimer
This article is independently developed and not affiliated with or endorsed by Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). All service names, prices, and descriptions are based on publicly available sources as of June 2025 and may change.