DevOps Transformation at ZiffyCar
ZiffyCar's peer-to-peer car rental marketplace was expanding fast — 50+ cities, thousands of hosts, and booking traffic that spiked hard every weekend. D2i Technology built the DevOps foundation to match that growth, turning a fragmented, contractor-heavy delivery model into a streamlined pipeline that achieved 10× faster releases and a 40% reduction in DevOps spend.
The Problem
Rapid growth across 50+ cities was outpacing ZiffyCar's ability to ship safely. DevOps practices were absent, and fragmented contract resources created inconsistency, environment instability, and booking-day outages that put host and renter trust at risk.
- No unified DevOps practice — fragmented contractors across city rollouts
- Monthly release cadence that delayed new city and feature launches
- 65% of downtime traced to environment issues, often during peak weekend bookings
- No clear release process or environment standards as the marketplace scaled
The Solution
D2i Technology consolidated the DevOps function under a single, strategic delivery model — building a reproducible, automated pipeline designed to support rapid city expansion and weekend booking peaks.
- Consolidated DevOps from fragmented contract resources into one team
- Built infrastructure-as-code to spin up new city environments in days, not weeks
- Collaborated with ZiffyCar to define environment requirements & release processes
- Integrated auto-scaling and monitoring to protect uptime during peak booking demand
The Results
From Monthly Releases to Marketplace-Ready Daily Deployments
Before D2i Technology’s engagement, ZiffyCar deployed to production roughly once a month — each release a high-stakes, manual event that regularly introduced environment-related defects. With bookings peaking every weekend across 50+ cities, a third of all post-release bugs traced back to environment inconsistencies, and downtime during peak hours eroded both host and renter trust.
After D2i Technology established standardised pipelines, infrastructure-as-code, and automated deployment gates, the team moved to daily production releases — a 10× improvement in release velocity. Downtime during peak booking hours fell by 65%, and environment-related defects dropped 30%. Consolidating the DevOps function also reduced total DevOps spend by 40%, freeing budget to expand into new cities.
Before & After
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