About the Customer

Housing.com is a property technology company founded in 2012, now part of REA India. The platform enables users to buy, sell, and rent residential properties across India, offering verified listings, virtual tours, and local market insights. Housing.com operates in over 28 cities, supporting millions of buyers, sellers, and renters with data-driven tools and digital real estate solutions.

Customer Challenge

Housing.com struggled with rising cloud expenses and operational inefficiencies that limited their ability to scale.

  • Escalating cloud costs driven by inefficient resource allocation and the absence of a proactive cost management strategy.
  • Suboptimal resource provisioning, resulting in frequent underutilization or over-provisioning of cloud assets and wasted spend.
  • High operational costs directly restricted Housing.com’s ability to scale, slowing innovation and reducing competitiveness.

Left unresolved, these inefficiencies would continue to inflate operational costs, delay new product rollouts, and limit Housing.com’s capacity to compete and expand in the digital real estate market.

Solution

Infra360 engineered a cost optimization initiative for Housing.com, combining data-driven allocation, process automation, and real-time oversight. Key solution steps included:

  • Precision resource allocation: Mapped application workloads to actual usage and right-sized compute, storage, and network resources to eliminate overprovisioning.
  • Automated provisioning and scaling: Implemented automated scripts and policies to adjust resources in response to live demand, reducing manual operations and idle spend.
  • Real-time monitoring and alerting: Integrated cost and utilization monitoring with automated alerts, enabling the team to detect inefficiencies instantly and enforce continuous cost governance.

This systematic approach delivered measurable savings, enabling Housing.com to scale efficiently while maintaining granular control over cloud expenditures.

Results & Benefits

40% reduction in total cloud costs

27% fewer deployment failures

15K

saved monthly

3x

faster release cycles

  • Capacity scaled instantly to meet traffic surges.
  • Release stability improved, reducing hotfixes and rollbacks.
  • User experience improved due to enhanced system stability.
  • Automation and monitoring minimized manual operations.
  • Engineering time shifted from maintenance to feature innovation.
  • Real-time monitoring enabled proactive resource adjustments.

Best Practices Implemented

  1. Automated Resource Scaling: Enabled real-time scaling of compute resources using auto-scaling groups to match property search demand during peak traffic.
  2. Instance Right-Sizing: Conducted periodic audits of compute and storage resources, replacing oversized or underutilized assets with optimal configurations.
  3. Infrastructure as Code: Adopted Terraform for all provisioning and updates, supporting rapid iteration and rollback of infrastructure changes.
  4. Cost Allocation Tagging: Deployed a comprehensive tagging strategy, tracking cloud usage by project, environment, and business function for precise cost reporting.
  5. Non-Production Scheduling: Automated start and stop schedules for development and staging environments, eliminating idle resource spend outside business hours.
  6. Cloud Monitoring Integration: Integrated monitoring and alerting with cost dashboards, surfacing real-time anomalies in spend and resource utilization.
  7. Optimized Purchase Strategy: Combined reserved instances for stable workloads and spot instances for batch processing to minimize cloud bill volatility.
  8. CI/CD Automation: Implemented fully automated deployment pipelines, reducing release friction and human error.
  9. Centralized Log Management: Unified application and infrastructure logs for faster troubleshooting and compliance reporting.
  10. IAM and Security Controls: Enforced role-based access and automated policy validation, securing data across all production environments.

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