Expedia India
Manual deployments, peak-season exposure, and reactive monitoring — at the scale of millions of daily travel bookings. The infrastructure needed to match the ambition.
The Challenge
Expedia India operates at massive scale — millions of daily users booking flights, hotels, and packages across one of the world's busiest travel platforms. The engineering team was battling a fragile manual release process that slowed product delivery, increased the risk of errors, and left the platform exposed during seasonal booking surges. Infrastructure was under-optimised, observability was reactive rather than proactive, and scaling to handle peak load required significant manual intervention.
Our Solution
GYSP redesigned the entire operations and delivery model from the ground up. We architected a high-availability AWS IaaS environment with multi-AZ redundancy, implemented Chef-based configuration management for repeatable zero-drift deployments, and built Jenkins CI/CD pipelines that cut release cycles from days to hours. A comprehensive observability stack using CloudWatch and Nagios was put in place to enable proactive incident detection — shifting the team from firefighting to prevention. Day-to-day cloud operations were also stabilised with structured runbooks and on-premises integration support.
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Get free briefKey Deliverables
- High-availability AWS IaaS architecture with multi-AZ redundancy
- Chef-based configuration management for repeatable, zero-drift deployments
- Jenkins CI/CD pipelines reducing release cycles from days to hours
- CloudWatch and Nagios observability stack for proactive incident detection
- Automated traffic scaling to handle seasonal booking surges without manual intervention
- Structured cloud operations runbooks and on-premises integration support
Services Delivered
- DevOps Engineering
- Cloud Operations
- Infrastructure Automation
Tech Stack
Frequently Asked Questions
How did GYSP improve deployment speed for Expedia India?+
GYSP replaced Expedia India's manual release process with Jenkins CI/CD pipelines automating the full build-test-deploy cycle. Combined with Chef-based configuration management ensuring zero-drift environments across all instances, release cycles dropped from days to hours — eliminating the manual handoffs that were causing bottlenecks and production errors.
What observability stack does GYSP recommend for high-traffic travel platforms?+
For Expedia India, GYSP implemented CloudWatch for infrastructure-level metrics and alerting, paired with Nagios for application-level monitoring. Together they shifted the operations model from reactive firefighting to proactive detection — giving the team visibility into performance degradation before it became a user-impacting incident.
How did GYSP handle peak-season traffic scaling for Expedia India?+
GYSP architected a high-availability AWS IaaS environment with multi-AZ redundancy and automated scaling policies calibrated to Expedia India's seasonal booking patterns. Rather than requiring manual intervention during surges, the infrastructure scales automatically in response to load — maintaining response times and availability during the busiest booking windows.
What is Chef configuration management and why is it used in cloud infrastructure?+
Chef is an infrastructure automation tool that treats server configuration as code — ensuring every instance is provisioned identically regardless of when or where it is deployed. For Expedia India, this eliminated configuration drift between environments, reduced deployment errors, and made the entire provisioning process auditable and repeatable.
Work with GYSP
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Services Used
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