Your Platform Needs to Be Ready First.Moving to containers without a production-grade Kubernetes platform, GitOps pipeline, and observability layer produces the same result as running on a VM — plus the overhead of managing containers. The platform is the hard part. Symhas builds it correctly from day one.Symhas designs and deploys Amazon EKS with Fargate profiles, Lambda for event-driven workloads, and API Gateway — with ArgoCD or Flux GitOps, service mesh, KEDA auto-scaling, and ECR Enhanced Scanning blocking vulnerable deployments before they reach the cluster.
Production-Grade on AWS.
Every capability designed, deployed, and documented by Symhas AWS-certified architects. Fixed price. SLA-backed from go-live.
Fixed Price. Fixed Timeline.
Four phases with go/no-go gates. Scope and price agreed before week one.
Containerisation assessment. Workload assignment — EKS vs Fargate vs Lambda vs Fargate Spot. Cluster topology and GitOps pipeline design. Service mesh and observability requirements. IaC module design approved.
EKS cluster deployed via Terraform. Node groups and Fargate profiles configured. ECR and CI pipeline built. ArgoCD or Flux deployed and syncing from Git. ECR Enhanced Scanning enabled and CVE gates set.
Application workloads deployed via GitOps. Service mesh with mTLS enabled. X-Ray tracing active. Container Insights and KEDA configured. Load test run, auto-scaling validated under simulated peak.
Production traffic switched to EKS or serverless platform. Auto-scaling validated on live traffic. Platform engineering team certified on GitOps workflow and cluster operations. Symhas moves to advisory.
23 Services on EKS via GitOps. 60% Cost Reduction. 8 Weeks.
The asset management firm was running 23 microservices on EC2 — manual SSH deployments, no auto-scaling, and no inter-service observability. The engineering team wanted Kubernetes but had no EKS operational experience.
Symhas designed and deployed a production EKS platform — multi-AZ with Fargate for batch, ArgoCD GitOps, X-Ray distributed tracing, and KEDA scaling on SQS queue depth. Infrastructure cost reduced by 60% through Spot node groups and Fargate.
Amazon EKS Platform — Financial Services Production
“We went from SSH deployments to fully GitOps in 8 weeks. Every deployment is a commit, every rollback is a revert, every call is traced. That is a mature engineering platform.”
— VP Engineering, Global Asset Management Firm
We Configure for This Capability.
Managed Kubernetes — cluster, node groups, Fargate profiles, add-ons, IRSA, version lifecycle.
Container registry — private repos, Enhanced Scanning, lifecycle policies, cross-account pull.
Serverless containers — no node management, per-pod billing, Fargate Spot for cost reduction.
Serverless functions — event-driven compute, API integration, workflow orchestration.
Managed APIs — REST and HTTP with auth, throttling, WAF, Lambda and EKS integration.
Service mesh and tracing — mTLS, traffic shaping, end-to-end distributed tracing.
The account structure and VPC networking that EKS clusters and Lambda functions run within.
IRSA, ECR scanning, and Security Hub — the security controls applied to the container platform.
EKS node group rightsizing, Spot optimisation, and Fargate vs EC2 cost modelling.
We Will Design the Platform They Need to Run Reliably.A 30-minute AWS architecture assessment with a Symhas EKS specialist. We will review your application workloads, current deployment process, and scaling requirements — and design the container platform before the engagement price is agreed.No commitment. No pitch deck. An honest conversation about your AWS environment.