HR-Tech·Amazon EKS
HR-Tech Company Case Study
We implemented Amazon EKS to manage the majority of the HR-Tech company's workloads and core data flows, handling over 80% of the platform's containerized operations.
Read full case studyAt DevSecCops.ai, we help businesses adopt, deploy, and manage production-grade Kubernetes clusters using Amazon EKS (Elastic Kubernetes Service). EKS gives you the power of Kubernetes without the headaches of managing the control plane, security hardening, cluster patching, or scalability challenges. Our cloud security, DevOps, and Kubernetes experts ensure your EKS environment is fast, secure, resilient, and designed for enterprise workloads.

Amazon EKS Delivery — validated by AWS for proven customer delivery
From the first cluster to day-two operations — everything your Kubernetes platform needs to run production workloads with confidence.
Secure, scalable, production-ready cluster creation with node groups, networking, autoscaling, security groups, IAM roles, and integrated monitoring.
Move your existing on-prem or cloud Kubernetes workloads to Amazon EKS with near-zero downtime. We handle workloads, manifests, networking, storage, CI/CD, and security mapping.
Security baked into your Kubernetes pipeline:
We fine-tune your cluster autoscaling, HPA/VPA settings, container resources, networking, and storage — delivering maximum efficiency & cost savings.
Enterprise-grade Kubernetes security:
We take full responsibility of your EKS clusters:
We combine deep Kubernetes expertise, security-first engineering, and hands-on platform specialists to deliver exceptional EKS outcomes.
$ kubectl get nodes
$ kubectl get hpa
autoscaling headroom available — no manual intervention needed
Industry-certified engineers building secure, high-performing EKS environments.
Security is embedded at every stage of your Kubernetes lifecycle.
Achieve faster, safer deployments with GitOps-driven automation.
Reduce cloud spend with smart autoscaling and optimized resource allocation.
Around-the-clock monitoring and proactive support for mission-critical workloads.
From startups to enterprises, teams trust us to deliver. Here's what they have to say about working with us.
Vaibhav Dhage
“Thanks to DevSecCops.ai, we now have a highly scalable and reliable platform ready to handle future growth. Their rapid implementation of the network architecture, Kubernetes foundation, and external applications infrastructure ensures we can seamlessly meet scalability demands. The implementation of DevSecCops.ai facilitated a 50% reduction in execution time while ensuring secure secrets management. We anticipate a 40% cost saving upon full-service migration to the new cluster. Furthermore, automation empowered our DevOps team, removing the need for major personnel expansion.”
Shiv Tomar
“DevSecCops.ai has truly revolutionized our workflow. With DevSecOps, we've developed highly scalable Kubernetes architecture solutions end-to-end for our organization with minimal effort, significantly reducing costs. This includes building CI/CD pipelines integrated with ArgoCD for rapid and seamless deployments. While everything is implemented through deep automation, it eliminates the necessity for a separate DevOps team, achieving results 10X faster and better while maintaining remarkably low costs. It has streamlined the process of building cloud solutions, and I highly recommend adopting it without hesitation.”
















Measurable improvements from teams that trusted us with their most important Kubernetes infrastructure.
HR-Tech·Amazon EKS
We implemented Amazon EKS to manage the majority of the HR-Tech company's workloads and core data flows, handling over 80% of the platform's containerized operations.
Read full case studyInsure-Tech·Amazon EKS
We implemented Amazon EKS as the primary orchestration layer for the Insure-Tech company's core platform services, managing over 70% of the organization's workloads.
Read full case studyFrom cluster setup to security & monitoring, DevSecCops.ai handles everything end-to-end.
apiVersion: apps/v1
kind: Deployment
metadata:
name: payments-api
spec:
replicas: 3
template:
spec:
containers:
- image: payments-api:v2.4.1
resources: # right-sized by DevSecCops.ai$ kubectl apply -f deployment.yaml
deployment.apps/payments-api configured
$ kubectl rollout status deploy/payments-api
successfully rolled out — 3/3 replicas ready