v0.6.0: Massive Multi-Cloud Expansion - 25+ New Services
π TFDrift-Falco v0.6.0: Multi-Cloud Explosion
Release Date: March 20, 2026
Milestone achieved: Largest service expansion ever β AWS now 40+ services (500+ events), GCP now 27+ services (170+ events).
π The Growth
From v0.5.0 to v0.6.0:
| Cloud | Services | Events | New Services |
|---|---|---|---|
| AWS | 30+ β 40+ | 400+ β 500+ | EFS, Cognito, AppSync, MSK, OpenSearch, CodePipeline, CodeBuild, CodeDeploy, GuardDuty, AWS Config |
| GCP | 12+ β 27+ | 100+ β 170+ | Cloud Armor, DNS, Redis, Spanner, Artifact Registry, Monitoring, Logging, Dataproc, Cloud Build, + more |
| Total | 42+ β 67+ | 500+ β 670+ | 25+ new services, 170+ new events |
π― New AWS Services (10)
Enterprise & Developer Tools
- EFS (Elastic File System) - Serverless file storage drift
- CodePipeline - CI/CD pipeline configuration tracking
- CodeBuild - Build system drift detection
- CodeDeploy - Application deployment monitoring
- AppSync - GraphQL API infrastructure
Data & Messaging
- MSK (Managed Streaming for Kafka) - Real-time pipeline monitoring
- OpenSearch - Search engine infrastructure tracking
Identity & Security
- Cognito - Identity management drift detection
- GuardDuty - Security threat detection configuration
- Config - Compliance monitoring infrastructure
π New GCP Services (15)
Infrastructure & Security
- Cloud Armor - DDoS and security policy monitoring
- Cloud DNS - DNS zone and record management
- Redis/Memorystore - In-memory database drift
- Cloud Spanner - Distributed SQL database tracking
Data & Analytics
- Artifact Registry - Container and artifact repository
- Dataproc - Spark and Hadoop cluster management
- Cloud Build - CI/CD infrastructure
- Cloud Monitoring - Dashboard and alert policies
- Cloud Logging - Log sink and retention configuration
- Cloud Tasks - Asynchronous job queue monitoring
- Cloud Scheduler - Scheduled job orchestration
- Pub/Sub Schema - Event schema management
π§ Intelligent Event Disambiguation
The big challenge with 25+ new services: ambiguous event names.
Problem: Both AWS SageMaker and GCP Vertex AI have "CreateModel" events. How do we know which is which?
Solution: Comprehensive conflict resolution engine:
Event Name Conflicts Resolved: 15+
CreateModel β AWS SageMaker vs GCP Vertex AI
DeleteModel β AWS SageMaker vs GCP Vertex AI
UpdateJob β AWS Batch vs GCP Dataflow
CreateEndpoint β AWS SageMaker vs GCP Vertex AI
CreateFunction β AWS Lambda vs GCP Cloud Functions
Resolution uses:
- Event source field (aws_cloudtrail vs gcpaudit)
- Service identifiers in event payload
- Resource structure and naming patterns
- Fallback to comprehensive error logging
π§ Enhanced Event Parser
Updated parser handles:
- Provider-specific field variations
- Ambiguous event auto-detection
- Graceful fallback with diagnostics
- Comprehensive error messages
Perfect foundation for scaling to Azure in v0.7.0.
π Coverage Snapshot
AWS Top Services (by event count):
- VPC/Networking - 42 events
- RDS - 31 events
- EC2 - 17 events
- SageMaker - 16 events
- ELB/ALB - 15 events
GCP Top Services:
- Compute Engine - 30+ events
- Cloud Storage - 15+ events
- Monitoring - 14+ events
- Dataproc - 13+ events
- Cloud Spanner - 11+ events
β Quality Assurance
- 500+ AWS tests - Complete event coverage
- 170+ GCP tests - All new services validated
- 50+ disambiguation tests - Conflict resolution verified
- 100% pass rate - Every test passing
π Use Cases Unlocked
Use Case 1: Multi-Cloud Compliance
Monitor compliance drift across AWS and GCP simultaneously:
[15:22:03] AWS CRITICAL: GuardDuty detector disabled
[15:22:05] GCP CRITICAL: Cloud Armor policy deleted
[15:22:12] AWS WARNING: CodeBuild project encryptedβunencrypted
β Automatic compliance report generated
Use Case 2: Unified Data Pipeline Monitoring
Track data infrastructure across clouds:
- AWS: MSK (Kafka), Kinesis, Lambda β Processing
- GCP: Pub/Sub, Dataflow, Cloud Functions β Processing
- Unified: Central drift dashboard
Use Case 3: Multi-Cloud ML Deployments
Monitor ML infrastructure:
- AWS: SageMaker endpoints, training jobs
- GCP: Vertex AI models, endpoints
- Unified: Track model deployments across clouds
π¬ Getting Started
Update your configuration:
providers:
aws:
enabled: true
services:
- efs
- cognito
- appsync
- msk
- opensearch
- codepipeline
- codebuild
- codedeploy
- guardduty
- config
gcp:
enabled: true
services:
- cloud_armor
- cloud_dns
- redis
- spanner
- artifact_registry
- monitoring
- logging
- dataproc
- cloud_build
π€ Roadmap Glimpse
v0.7.0 (Coming March 22):
- Dashboard UI with event management
- Real-time notifications (SSE)
- Dark/light theme toggle
- Azure Activity Logs (119+ operations)
Post v0.7.0:
- Kubernetes cluster monitoring
- Cost analysis and tracking
- Auto-remediation workflows
- ML-powered anomaly detection
TFDrift-Falco v0.6.0 - The Multi-Cloud Powerhouse
67 Services β’ 670+ Events β’ Intelligent Disambiguation β’ Production Ready