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From Manual Uploads to Instant UpdatesReal Estate Agency15-20 employees

From Manual Uploads to Instant Updates: DevOps for a Real Estate Agency

In the dynamic real estate market, the speed and reliability of an online platform are critical to success. Our client, a leading real estate agency, faced significant challenges due to outdated, manual processes. Every change to their website was slow, risky, and consumed valuable developer time. prAIor.com completely transformed their development and delivery lifecycle by implementing end-to-end DevOps automation.

95%
Faster Deployment Time
80%
Fewer Production Errors
30%
Reduced Infrastructure Costs
From Manual Uploads to Instant Updates: DevOps for a Real Estate Agency

Project Goals

1

Automate the entire process from code commit to production deployment

2

Create a scalable and fault-tolerant cloud infrastructure

3

Reduce the time-to-market for new listings and features

4

Eliminate human-induced errors during deployments

Our Approach

1

**Assess & Design:** We conducted a full audit of their existing processes and infrastructure. We designed a new, modern architecture based on containerization and Infrastructure as Code (IaC) principles.

2

**Phased Implementation:** We applied our QuickWin approach, first automating the build and test process. We then built the new infrastructure in parallel with the old one and migrated the application with zero downtime.

Solution

  • **CI/CD Pipeline with GitLab:** We built a fully automated CI/CD pipeline that automatically builds, tests, and deploys every code change to isolated environments (staging and production).
  • **Infrastructure as Code (IaC) with Terraform:** The entire cloud infrastructure was defined as code using Terraform, allowing for the rapid creation, modification, and recovery of the environment at the push of a button.
  • **Containerization with Docker & Kubernetes:** The application was containerized with Docker and orchestrated with a managed Kubernetes cluster, providing auto-scaling and high availability.
  • **Monitoring with Prometheus & Grafana:** We implemented a real-time monitoring system that provides full visibility into system health and sends proactive alerts for potential issues.

Results

  • The time to deploy a new feature was reduced from 4+ hours to under 15 minutes.
  • Zero downtime was achieved during updates.
  • Developers can now focus on creating new business value instead of manual maintenance.
  • The platform automatically scales to handle peak interest in hot properties without any performance degradation.

Ready to Stop the Repetition?

Send us a few examples of manual tasks you do regularly, and we'll show you how we can automate them.

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