How we Helped Jetstar Airways Save Over $130K AUD/Year on AWS Without Downtime
โก TL;DR:
Jetstar Airways was spending over $480,000 AUD/year on AWS infrastructure across multiple workloads — including web, booking APIs, CI/CD, and data services. we was brought in to audit their cloud usage, reduce unnecessary spend, and improve visibility. In less than 5 weeks, we uncovered and helped eliminate over $11,000/month in waste — all without compromising performance, security, or redundancy.
๐งฉ The Context
Jetstar operates in a high-throughput, low-margin industry — with mission-critical infrastructure powering online bookings, mobile check-ins, internal APIs, and real-time operational dashboards.
The cloud stack, built over time by multiple vendor teams, included:
Dozens of microservices across ECS + Lambda
CI/CD via GitHub Actions + CodePipeline
Data pipelines using Athena, Glue, and Redshift
Global S3 + CloudFront distribution
Despite a modern stack, leadership had limited visibility into where AWS spend was going. The infra team suspected waste, but hadn’t prioritized cloud cost optimization yet — fearing the risk of service disruption.
๐ What we Found
Over a 2-week discovery + access review, we identified critical savings opportunities:
๐ $4,200/mo in unused EC2 capacity reserved years prior and no longer used (dev/test)
๐ $3,100/mo in underutilized RDS clusters for low-traffic internal tools
๐ $1,800/mo in S3 Glacier + standard storage holding redundant log archives
๐ $1,200/mo in CloudFront invalidation overuse + outdated routing rules
๐ Cwe runners and Lambda concurrency caps set far beyond observed usage
No production services were affected — this was entirely recoverable cost with no business risk.
๐ง What we Did
Over a 3-week optimization sprint:
๐งผ Decommissioned 20+ stale EC2 and EBS volumes across three regions
๐ช Moved long-term S3 archives to Deep Archive with lifecycle rules
โ๏ธ Refactored RDS + Aurora autoscaling policies to fit actual IOPS and traffic
๐ Built a FinOps dashboard using AWS Cost Explorer + custom tagging strategy
๐งช Implemented Cwe runner auto-termination logic for idle workflows
๐ Audited CloudFront distribution to reduce cache misses and origin requests
๐ฅ The Result
Cost Area | Before | After | Monthly Savings |
---|---|---|---|
EC2 & EBS | $12,800 AUD | $8,600 AUD | $4,200 AUD |
RDS & Aurora | $9,400 AUD | $6,300 AUD | $3,100 AUD |
S3 | $4,900 AUD | $3,100 AUD | $1,800 AUD |
CloudFront + CI/CD | $3,800 AUD | $2,600 AUD | $1,200 AUD |
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Total Savings: ~$11,000 AUD/month
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Annualized Impact: $132,000 AUD/year
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Zero downtime or service impact
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100% observable and tagged infrastructure
๐ Strategic Outcomes
This project gave Jetstar:
Clear cloud cost accountability across engineering and finance
Repeatable workflows for dev/test teardown and Cwe runner cleanup
A path toward automated resource lifecycle policies
Confidence to engage in deeper cloud-native modernization (next phase)
It also equipped internal teams to track costs proactively, not reactively.
๐ฌ Client Quote
“We’d suspected we were overspending, but hadn’t prioritized it. [Your Name] delivered clear, actionable results — without interrupting any production work. We recouped his fee within the first 30 days.”
— Cloud Services Manager, Jetstar Airways
๐ Could You Benefit From a Similar Audit?
If you’re running multi-region workloads, CI/CD pipelines, and data infra — but haven’t done a cloud audit in over a year — you’re probably overspending.
we offer a no-risk Cloud Infra & Cost Audit, including:
Discovery of low-hanging savings
Tagging + visibility strategy
A roadmap for both short- and long-term optimization