Observed Signal · Apr 30, 2026 · Case Study · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Series B Fintech Migrated from Heroku to AWS EKS 1.32
A 12-person engineering team at a Series B fintech migrated production from Heroku to AWS EKS 1.32 in a six-week effort (Q3 2024). The move cut monthly hosting costs from $42,000 to $21,000 (50%), improved p99 API latency from 2.1s to 480ms, and reduced node provisioning time from 4 minutes to 12 seconds by adopting Karpenter 0.32.1. The migration used Terraform (aws EKS module), Argo CD GitOps, RDS/ElastiCache for managed stateful services, and leveraged EKS 1.32 GA native sidecar support (KEP-2898) and IRSA optimizations. Benchmarks were validated with parallel runs and invoice-backed cost calculations; the migration also eliminated a 14-month backlog of Heroku workarounds and freed platform engineering time for product work.
Practical infrastructure case study showing substantial cost, latency, and provisioning improvements; relevant to engineering teams evaluating Kubernetes migrations and EKS 1.32 features (sidecar GA, Karpenter), but not a platform-level policy or major vendor product launch.
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Key Takeaways & Evidence Grounding
- 12-engineer team at a Series B fintech migrated from Heroku to AWS EKS 1.32 in Q3 2024 over six weeks
- Monthly hosting cost fell from $42,000 to $21,000 (50% savings) after migration
- p99 API latency improved from 2100ms to 480ms (≈4.3x improvement) post-migration
- Node/dyno provisioning time reduced from 4 minutes to 12 seconds using Karpenter 0.32.1
- Migration replaced Heroku add-ons with RDS, ElastiCache and ECR and moved deploys to Argo CD GitOps
Connected Companies & Entities
4 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Solo-built production GitOps platform on AWS EKS
An infrastructure engineer documented building a production-style GitOps platform on AWS EKS around the Spring PetClinic microservices (7 services). The platform is fully provisioned with Terraform (remote state on S3 + DynamoDB) and uses GitHub Actions with OIDC to build Docker images and push to Amazon ECR. CI bumps image tags in a Helm values-driven chart; Argo CD reconciles the cluster (git as source of truth). Autoscaling is implemented at two layers (HPA for pods and Karpenter for nodes). Observability is provided by Prometheus, Grafana and Zipkin. The project is reproducible via a Makefile (provision, up, down). The author describes several production issues and fixes (tracing misconfiguration, CI tag mismatches, Argo CD vs HPA replica conflict, Karpenter IAM policy size) and publishes the infrastructure and app repos and a live demo URL.
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