Client Overview
Cars24, a fast-growing auto resale and valuation platform, needed to modernize its infrastructure to support millions of users, improve transaction reliability, and enhance analytics for its business intelligence teams. Their growth required a move to more resilient, automated, and scalable cloud-native platforms.
60
%
Faster feature rollouts with automated CI/CD
35%
%
Infrastructure & monitoring cost savings
99.95
%
Uptime for customer-facing services
2x
%
Faster BI-driven analytics for decision-making
The Challenge
The business required a secure, scalable, and high-performance infrastructure to handle rapid expansion while supporting analytics-driven decision-making.
- Legacy systems slowed feature rollouts and created downtime risks.
- Manual deployments introduced errors, delaying innovation.
- BI teams faced data bottlenecks with legacy ETL and warehousing.
- Rising infrastructure costs from under-optimized environments.
- Needed observability across microservices to ensure customer trust during high-volume traffic.
What we did
- loud Migration – Transitioned infrastructure from AWS to Google Cloud Platform (GCP) to leverage cost efficiency and scalability.
- Microservices Modernization – Migrated Java applications to containerized, microservice-based architecture using Docker Swarm, AWS Fargate/ECS, and later GKE.
- Data Warehousing for BI – Built pipelines with Fivetran to Snowflake, enabling real-time analytics for pricing, demand forecasting, and user behavior.
- ETL Automation – Designed secure, automated ETL workflows to eliminate data latency.
- Observability Transformation – Migrated monitoring from New Relic to Dynatrace for cost optimization and deeper application performance insights.
- CI/CD Automation – Introduced GitLab CI and Jenkins pipelines for zero-touch deployments.
- Security-First Approach – Applied three-tier GCP architecture with Cloud Armor (DDoS protection), Key Management Service (encryption), and IAM (granular access control).
- Team Enablement – Supported a 7-member engineering team with technical leadership, mentoring, and best practices adoption.
The Results
- Enabled seamless scalability for millions of transactions monthly.
- Reduced analytics latency, providing BI teams with real-time decision-making insights.
- Lowered observability costs while improving monitoring precision.
- Delivered a future-ready, serverless-first approach to maximize uptime and reliability.
Technologies we used to Support Cars24
GCP
AWS
Docker Swarm
AWS Fargate/ECS
Kubernetes (GKE)
GitLab CI
Jenkins
Fivetran
Snowflake
Dynatrace
GCP Cloud Armor
KMS
IAM
