Cloud Modernisation for a Scaling SaaS Platform
From reactive fire-fighting to a self-healing, cost-governed cloud
Key outcomes
- Infrastructure cost reduction
- 30%
- System performance improvement
- 40%
- Uptime post-migration
- 99.97%
- Manual deployments post-handover
- 0
A rapidly growing SaaS company faced infrastructure instability and unpredictable cloud costs as their user base scaled 4× in 18 months. We redesigned their AWS architecture from the ground up — introducing auto-scaling, cost governance and full-stack observability.
Stack
The client had outgrown their original infrastructure. Manual deployments, no auto-scaling and a lack of visibility into spend meant every traffic spike was a crisis. Cloud costs had grown 180% year-over-year with no clear explanation.
How we tackled it, step by step.
Conducted a full cloud infrastructure audit across compute, networking, storage and IAM
Redesigned the architecture around ECS Fargate with auto-scaling policies tied to real traffic metrics
Implemented AWS Cost Explorer tagging, budgets and anomaly detection with Slack alerting
Deployed Datadog for full-stack observability — APM, infrastructure metrics and log aggregation
Migrated CI/CD from Jenkins to GitHub Actions with environment-gated deployments
Ran a two-week stabilisation period with on-call support before handing over to internal team
Outcomes that speak for themselves.
Infrastructure cost reduction
System performance improvement
Uptime post-migration
Manual deployments post-handover
The engagement transformed our infrastructure from reactive to scalable. We now have predictable costs and performance aligned with our growth.