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From Manual Integrations to Real-Time Sync: A Case Study in Scalable Property Tech Infrastructure

From Manual Integrations to Real-Time Sync: A Case Study in Scalable Property Tech Infrastructure

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Case Study

From Manual Integrations to Real-Time Sync: A Case Study in Scalable Property Tech Infrastructure

From Manual Integrations to Real-Time Sync: A Case Study in Scalable Property Tech Infrastructure

Case Study

From Manual Integrations to Real-Time Sync: A Case Study in Scalable Property Tech Infrastructure

From Manual Integrations to Real-Time Sync: A Case Study in Scalable Property Tech Infrastructure

Connect with Us

We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.

From Manual Integrations to Real-Time Sync: A Case Study in Scalable Property Tech Infrastructure

One-liner summary:
Quext partnered with Ideas2IT to build a real-time integration engine connecting IoT, CRMs, and property management systems, powering 29 communities and over 4,850 devices with seamless automation and scalable performance.

The Problem with the Status Quo

Quext, a smart apartment platform backed by Madera Residential, aimed to transform property management with connected devices, AI leasing agents, and digital experiences. But to scale across communities and technology partners, they required a foundational capability: seamless integration.

Their vision depended on real-time synchronization between IoT platforms, CRMs, websites, and multiple third-party property management systems (PMS). Commercial ESBs failed to provide the performance, flexibility, and observability required.

Where the Gaps Were

The hurdles were real:

  • Onboarding a new community took 6 months due to manual data mapping, custom logic, and vendor-specific workflows

  • No reliable real-time data flow, causing errors in unit availability and tour scheduling

  • IoT devices couldn’t auto-provision without synchronized data from partner platforms

  • Off-the-shelf tools like Zato lacked support for Kafka streaming and change data capture (CDC) patterns

  • Debugging and SOC 2 compliance processes were still manual and time-consuming

Quext needed a custom-built engine for property data orchestration

What We Delivered

Ideas2IT architected and implemented a custom ESB framework purpose-built for Quext’s domain and growth plan.

Key Components:

  • CDC Layer with Debezium + Kafka to track changes across partner PMS systems

  • Generator–Worker architecture using AWS EventBridge, SQS, and Lambda for async data orchestration

  • Transformation & Validation layer using DBT for structured mapping across systems

  • REST API Gateway for partner-specific data inference

  • Audit & Monitoring Stack with OpenSearch, Kibana, Grafana, and alerting built-in

  • Full SOC 2–ready infrastructure with IAM, Cognito, KMS, and strict access policies

The platform was fully deployed using deployed via AWS ECS (Fargate), ArgoCD, and Terraform for infra-as-code consistency.

Outcomes We Achieved

Metric Before After
Community onboarding time 6 months 2 days
IoT devices integrated Manual sync 4,850+ auto-provisioned
Partner systems integrated 0–2 8 and counting
Tour scheduling & unit status Lagged & error-prone Real-time & accurate
Resident check-in post lease Manual delay Instant on confirmation

29 communities onboarded. 4,850 devices live. 100% automation of sync flows. A strong foundation for growth.

Industry
All Industries
Location
Texas, United States
Tech Stacks

Frameworks - Zato, Nest Js, Debezium CDC, Spring boot

CI/CD- Terraform, Helm Chart, Argo CD

AWS Cloud

Challenge

Quext partnered with Ideas2IT to build a real-time integration engine connecting IoT, CRMs, and property management systems, powering 29 communities and over 4,850 devices with seamless automation and scalable performance.

Key Takeaways

Three lessons emerged clearly from this build:

  1. No ESB is truly plug-and-play. If data is domain-specific, your orchestration layer should be too.

  2. CDC + streaming is a non-negotiable.Polling introduces latency, while Kafka and Debezium deliver real-time synchronization.
     
  3. Real-time visibility is part of the product. Ops teams shouldn’t have to rely on guesswork when issues arise.

The integration engine made Quext faster and  product-led.

Co-create with Ideas2IT

We show up early, listen hard, and figure out how to move the needle. If that’s the kind of partner you’re looking for, we should talk.
We’ll align on what you're solving for - AI, software, cloud, or legacy systems
You'll get perspective from someone who’s shipped it before
If there’s a fit, we move fast — workshop, pilot, or a real build plan
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