Case Studies

Series-A SaaS

Kubernetes Cost & Reliability Overhaul

$17,400/mo

saved

61%

node utilization

0

OOM incidents

A 40-node EKS cluster ran on static, hand-picked node groups with no autoscaling discipline, and pods were getting OOMKilled during every traffic spike. Compute spend kept climbing while reliability got worse, not better. Rightsized every workload's requests from real Prometheus usage data, then replaced static node groups and Cluster Autoscaler with Karpenter for just-in-time, bin-packed provisioning. Added PodDisruptionBudgets so consolidation never dropped a service below its minimum replica count.

AWS · EKS · Karpenter · Terraform · Prometheus

BeforeStatic m5.2xlarge node groups for every workload
AfterKarpenter-provisioned nodes sized per pending pod
Before24% average CPU request utilization
After61% average CPU request utilization
BeforeOOM kills on every traffic spike
AfterZero OOM incidents in 90 days post-launch
FinTech Platform

SOC 2-Ready Kubernetes Security Hardening

0

critical audit findings

37

IAM policies scoped

100%

secrets rotated

Every pod inherited a shared node-wide IAM role with access to S3 buckets it had no business touching, the cluster network was flat with zero segmentation, and CI pipelines held long-lived static credentials in plaintext environment variables. The client's SOC 2 pre-audit failed on all three. Scoped IAM to the ServiceAccount level with IRSA, rolled out default-deny NetworkPolicies with OPA Gatekeeper enforcing them at admission, and migrated every CI credential to Vault-issued, short-lived leases with full audit logging.

AWS · EKS · IRSA · OPA Gatekeeper · Vault

BeforeNode-wide IAM role, any pod reaches any bucket
AfterIRSA-scoped permissions, per ServiceAccount
BeforeFlat network, no pod-to-pod segmentation
AfterDefault-deny NetworkPolicies enforced by Gatekeeper
BeforeStatic credentials in CI environment variables
AfterShort-lived Vault leases, every issuance logged
Scaling E-Commerce

GitOps Pipeline Rebuild Before Peak Season

3x

deploy frequency

89%

faster builds

0

downtime on peak day

Deploys took 45 minutes and required a human to SSH in and run a script, so the team shipped once a week at most. With Black Friday six weeks out, a bad release meant an hours-long manual rollback with no tested procedure. Rebuilt CI around dependency and Docker layer caching, then replaced the manual release process with ArgoCD-managed GitOps: every environment syncs from Git automatically, drift self-heals, and rollback is a single revert.

GitHub Actions · ArgoCD · Helm · Kubernetes · Docker

Before45-minute deploys, manual SSH release process
After4-minute deploys, fully automated via GitOps
BeforeWeekly release cadence at best
AfterMultiple deploys per day, on demand
BeforeRollback: an untested manual runbook
AfterRollback: one git revert, self-healing sync
Healthcare Data Platform

Zero-Downtime Multi-Region Database Failover

<5 min

RTO

100%

restore success rate

<30s

RPO

The DR plan existed only on paper: backups ran nightly but had never once been restored, and the whole platform sat in a single AWS region. A compliance review flagged both as unacceptable ahead of a hospital-network contract renewal. Stood up an asynchronous streaming replica in a second region with Patroni-managed promotion, wired automated Route53 health-check failover, and added a nightly job that restores the latest backup to a throwaway instance and verifies row counts before anyone's morning coffee.

AWS · PostgreSQL · Terraform · Route53 · Patroni

BeforeDR plan untested since it was written
AfterAutomated nightly restore-and-verify drills
BeforeSingle AWS region, single point of failure
AfterMulti-region failover, RTO under 5 minutes
BeforeManual failover runbook, never rehearsed
AfterAutomated Route53 health-check failover

Composite examples reflecting patterns across real engagements, not accounts of a single named client.

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