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A digital health platform · Healthtech · 2025

Migrating a healthtech platform to Kubernetes with real SRE practices

Moved a growing patient-data platform off manually managed servers onto Kubernetes, with infrastructure as code and defined reliability targets.

Services

Cloud, DevOps, SRE & security

Stack

KubernetesTerraformAWSPrometheusGrafana
Architecture
01Containerized services
02Kubernetes cluster (EKS)
03Terraform-managed infra
04Prometheus + Grafana
05On-call & incident runbooks
  • Deploys cut from a manual afternoon to minutes
  • On-call pages down sharply once SLOs were in place
  • Zero unplanned downtime since the migration

The problem

The platform was running production on a handful of manually managed servers. Deploying meant SSHing in and hoping nothing broke; staging and production had quietly drifted apart over time; and incidents were usually discovered from a support ticket rather than caught by any alert.

What we did

  • Containers and Kubernetes. Packaged every service into containers and stood up a production cluster, with staging built from the same configuration as production — no more drift between the two.
  • Infrastructure as code. Rewrote the environment in Terraform — networking, the cluster, databases, secrets — so any environment can be rebuilt from source control instead of institutional memory.
  • SRE practices. Defined SLOs and error budgets per service, built Prometheus and Grafana dashboards against them, and set up an on-call rotation with written incident-response runbooks and blameless postmortems.

The outcome

Deploys that used to take a careful afternoon now ship in minutes through CI/CD. The team catches most issues from alerting before a customer notices, and on-call load has dropped now that the common failure modes are understood, documented, and covered by a runbook instead of tribal knowledge.

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