Kubernetes Implementation for a SaaS Startup
Client Overview
Client: Early-stage B2B SaaS company (NDA)
Team size: 8 engineers
Stack: Node.js, React, PostgreSQL, Redis
Cloud: AWS
The Challenge
The client was deploying services manually to EC2 instances. This led to:
- Frequent downtime during deployments
- Inconsistent environments between staging and production
- Manual scaling and no self-healing
- Lack of visibility and monitoring for workloads
They needed a reliable, scalable solution that supported fast development cycles without hiring a full-time DevOps team.
The Solution: Kubernetes on AWS (EKS)
CDOps Tech team migrated the infrastructure to Amazon EKS and restructured the deployment process using GitOps and Infrastructure as Code.
Key implementations:
- Provisioned EKS using Terraform with reusable modules
- Dockerized all services and configured Kubernetes manifests (Deployments, Services, Ingress)
- Set up Helm charts for repeatable, templated deployments
- Integrated ArgoCD for GitOps-based deployment
- Enabled Horizontal Pod Autoscaling and self-healing
- Added Prometheus + Grafana for cluster-level monitoring
- Centralized logging via CloudWatch Logs

The Results
- Achieved 99.95% uptime in the first 90 days post-migration
- Reduced release friction — developers now deploy multiple times per day
- Infrastructure now scales automatically with traffic
- No additional full-time DevOps hires required
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