Amazon Web Services cloud inventory with GenticFlow
AWS resource inventory and alarm context for AI investigations
GenticFlow connects to AWS with read-only IAM permissions to sync EC2, S3, ECS, RDS, Lambda, VPC, CloudWatch alarms, load balancers, and CloudFormation stacks. The AI engineer uses that cloud inventory and alarm context when tickets involve infrastructure or application services.
What You Get
Read-Only AWS Inventory
- EC2 instances sync with metadata and state information
- S3 buckets sync with location, tagging, encryption, and versioning details
- ECS clusters, services, and tasks provide container orchestration context
- RDS, Lambda, VPC, load balancer, and CloudFormation records are available for investigation
CloudWatch Alarm Context
- CloudWatch alarms sync as monitoring context
- Infrastructure tickets can be correlated with AWS resource state
- Service desk escalations include the cloud resource evidence already collected
- The connector uses AWS API pagination and region-aware configuration
Scoped IAM Access
- Connection testing uses STS GetCallerIdentity
- The connector is designed around least-privilege read permissions
- AWS access key, secret, optional session token, and region are configured explicitly
- This integration page covers AWS inventory and alarm context rather than AWS write actions
How It Works
Connect AWS credentials
Configure an access key, secret, optional session token, and target region with the required read permissions.
Choose resource types to sync
Enable the AWS services you want GenticFlow to index for operational context.
Sync resource and alarm state
GenticFlow imports inventory, configuration, and CloudWatch alarm records.
Use AWS context in tickets
Infrastructure tickets can include the relevant AWS resource state before resolution or escalation.
Cloud context for infrastructure tickets.
Amazon Web Services resource data gives GenticFlow infrastructure evidence for tickets and escalations. The connector focuses on inventory, configuration, and alert context so service desk work starts with the affected cloud resources already identified.
See It In Action