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Case study · Construction Technology

Smart construction data management on AWS

Sitemate's data platform runs on AWS with durable storage, event-driven processing and the operational visibility required for a product handling growing volumes of site records.

Event-drivenprocessing pipeline
Lifecyclemanaged storage

Customer background

Sitemate builds software for the built world, converting front-line site activity such as voice notes, photos and forms into structured, compliant records for construction and infrastructure projects.

Challenge

Field data arrives in many forms and volumes, and must be captured, structured and made available for reporting and downstream product features while meeting the reliability and data-handling expectations of construction and infrastructure customers.

Solution

Rabbit Cloud supported the build-out of the data management layer on AWS: durable object storage for captured records and media, event-driven processing, a managed database tier, and the operational tooling to monitor throughput and cost. The design kept structured records available for both product features and analytics.

Solution architecture

The engagement was delivered under the Data Engineering & Analytics service line, adapted to the client's environment, security and operating requirements.

AWSSourcesSaaS, OLTP, streamsLakehouseS3 + Iceberg + GlueServingRedshift, QuickSight

Results and benefits

Sitemate's data platform runs on AWS with durable storage, event-driven processing and the operational visibility required for a product handling growing volumes of site records.

  • Durable, lifecycle-managed storage for records and media
  • Event-driven processing that scales with intake volume
  • Structured data available for product features and reporting
  • Operational monitoring of throughput and cost

AWS services used

Amazon S3AWS LambdaAmazon RDSAmazon EventBridgeAmazon CloudWatchAWS Glue

About Rabbit Cloud

Rabbit Cloud is an AWS partner delivering cloud migration, platform engineering, managed operations, data platforms and AI/ML solutions for enterprises and software companies. Engagements are delivered by senior engineering teams to the AWS Well-Architected Framework, with security, compliance and cost governance addressed from the initial architecture.

Published with the client's consent.

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