Migrated a mid-market SaaS company's ageing on-premise data centre to AWS and rebuilt their delivery pipeline — cutting deployment time from three weeks to under 20 minutes.
Meridian SaaS ran its entire product on a single leased data centre rack that had outgrown capacity twice in eighteen months. Every deployment required a manual three-week change-control process involving four teams, and a single hardware failure during a Black Friday traffic spike had already caused a costly outage.
Digivance planned and executed a phased migration to AWS using infrastructure-as-code from day one, then rebuilt the deployment pipeline around GitHub Actions and Kubernetes — replacing the three-week manual release process with an automated pipeline that ships to production in under 20 minutes, safely, multiple times a day.
A single leased rack ran the entire production platform with no failover — any hardware fault meant a full outage, which had already happened once during a peak traffic event.
Every deployment required manual change-control sign-off across four teams, meaning even a one-line bug fix took nearly a month to reach production.
Fixed on-premise capacity meant the platform was permanently over-provisioned for average load yet still fell over during genuine traffic spikes.
There was no tested DR strategy — a full data centre failure would have meant days of downtime and potential permanent data loss.
Leasing, hardware refresh cycles, and emergency capacity purchases made infrastructure spend volatile and difficult to forecast for the finance team.
Developers had to file tickets and wait days for even routine infrastructure changes, since only two ops engineers had data centre access.
We sequenced the migration service-by-service using database replication and DNS-based traffic shifting, so each component moved to AWS independently with instant rollback capability and zero customer-facing downtime.
Every AWS resource was provisioned through Terraform modules from the start, giving Meridian a fully version-controlled, reproducible infrastructure instead of console-configured resources no one could safely recreate.
Core services were containerised and deployed on Amazon EKS with horizontal pod autoscaling, so the platform now scales automatically with real traffic instead of running permanently over-provisioned.
We replaced the manual release process with an automated pipeline — every merge triggers automated tests, security scanning, and a canary deployment, cutting release time from three weeks to under 20 minutes.
The new architecture spans multiple AWS Availability Zones with automated failover, and we ran and documented two full disaster-recovery drills before go-live to validate real recovery time objectives.
Implemented centralised logging, distributed tracing, and Prometheus/Grafana dashboards so the team has real-time visibility into system health — replacing a previous approach with almost no monitoring.
Core AWS landing zone, networking, and CI/CD pipeline were live within 8 weeks. First non-critical service migrated successfully with zero downtime, validating the migration pattern for the rest of the platform.
The full production platform completed migration to AWS with zero data loss and zero unplanned downtime. Legacy data centre contract terminated, immediately cutting fixed monthly costs.
Auto-scaling absorbed a Black Friday traffic spike 3x normal load without incident — the exact scenario that caused an outage on the old infrastructure. Deployment frequency increased 15x with the new pipeline.
"We went from being terrified of Black Friday to sleeping through it. Our deployment process used to take three weeks and a small army of sign-offs — now it's twenty minutes and one merge. Digivance didn't just move our servers, they fixed how our whole engineering team ships software."
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