Rokad

EKS cluster architecture, VPC networking, IAM, workload identity, node platforms, add-ons, GitOps, observability, upgrades, and operations

Amazon EKS engineering services

Rokad designs, builds, migrates, secures, upgrades, and operates Amazon EKS platforms for production container workloads on AWS.

Platform fit / 01

Designed for teams with a specific platform requirement.

Amazon EKS provides a managed Kubernetes control plane, while organisations remain responsible for cluster boundaries, VPC architecture, nodes, workload identity, add-ons, policies, storage, delivery, telemetry, upgrades, resilience, and cost. Rokad engineers these responsibilities as a supported platform rather than an isolated cluster.

01

AWS teams standardising container workloads

Create consistent EKS clusters, node platforms, networking, identity, add-ons, delivery, observability, and workload controls.

02

Organisations migrating services into EKS

Adapt applications, images, configuration, storage, networking, health, scaling, deployment, and support for Kubernetes operation.

03

Companies stabilising an existing EKS estate

Improve versions, node groups, add-ons, IAM, security, resource efficiency, telemetry, backup, reliability, and ownership.

Implementation risks / 02

The platform problems Rokad is prepared to solve.

01

EKS was created without a platform boundary

Clusters, accounts, regions, environments, tenants, node groups, add-ons, networks, and support responsibilities do not align.

02

AWS and Kubernetes identity are loosely connected

Human access, roles, service accounts, pod permissions, secrets, cluster administration, and audit create excessive privilege.

03

Cluster upgrades are delayed until support pressure

Kubernetes versions, AMIs, add-ons, APIs, controllers, workloads, and disruption are not continuously tested.

Platform capabilities / 03

What Rokad can implement and operate.

01

EKS suitability, account, region, cluster, tenancy, workload, cost, and operating assessment

02

VPC, subnet, endpoint, load balancer, ingress, DNS, service, egress, private-cluster, and hybrid connectivity architecture

03

Managed node groups, Fargate, autoscaling, node images, architectures, capacity, spot, scheduling, and workload placement

04

IAM, access entries, workload identity, service accounts, secrets, KMS, policies, admission, image, and runtime security

05

EBS, EFS, S3 integration, stateful workloads, backup, restore, disaster recovery, and data-service decisions

06

Helm, GitOps, CI/CD, registries, add-ons, observability, logging, tracing, policy, and developer golden paths

07

Version and add-on upgrades, reliability, performance, cost, incidents, runbooks, and managed EKS operation

Implementation system / 04

The architecture behind a dependable platform delivery.

01

EKS cluster foundation

AWS accounts, regions, VPCs, subnets, endpoints, control plane, node platforms, DNS, storage, and shared add-ons.

02

Identity and workload controls

Human access, IAM, workload identity, RBAC, namespaces, policies, secrets, images, resources, quotas, and isolation.

03

Delivery and observability

Registries, Helm, GitOps, pipelines, progressive delivery, metrics, logs, traces, alerts, service objectives, and runbooks.

04

EKS operations

Versions, add-ons, node images, capacity, incidents, backup, recovery, security, cost, support, and lifecycle ownership.

Use cases / 05

Where this platform creates practical leverage.

01

Production EKS platform

Establish cluster, network, node, identity, add-on, storage, delivery, observability, security, and operating foundations.

02

Application migration to EKS

Containerise and adapt services through workload assessment, deployment contracts, data decisions, testing, cutover, and support transition.

03

Multi-team EKS platform

Provide governed namespaces, accounts, templates, policies, quotas, access, telemetry, delivery, and service boundaries.

04

EKS upgrade and reliability programme

Modernise versions, nodes, add-ons, policies, autoscaling, disruption, telemetry, backup, recovery, and operational readiness.

Architecture / 06

Platform-specific engineering decisions and boundaries.

01

Cluster boundaries follow blast radius and ownership

Separate accounts, regions, environments, teams, regulated workloads, and critical services when isolation or lifecycle requires it.

02

Pod access uses workload identity

Give service accounts scoped AWS permissions without distributing node credentials or long-lived application keys.

03

Managed AWS services remain valid workload dependencies

Use RDS, DynamoDB, S3, queues, caches, and other services when they provide a better reliability and ownership model than running state in-cluster.

Quality and governance / 07

Production controls are part of the implementation.

01

Supported lifecycle

Cluster versions, node images, APIs, add-ons, operators, workloads, backups, and upgrade paths remain tested and supportable.

02

Workload and tenancy controls

Identity, namespaces, policies, secrets, resources, disruption, autoscaling, networking, storage, and isolation are explicit.

03

Observable platform operation

Control plane, nodes, workloads, networking, storage, delivery, security, capacity, cost, and incidents are visible to accountable operators.

Delivery / 08

A controlled path from assessment to operation.

01

Assess

Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.

02

Design

Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.

03

Implement and validate

Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.

04

Launch and operate

Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.

Typical platform deliverables

EKS cluster, workload, VPC, identity, add-on, security, cost, and risk assessment
Cluster, tenancy, network, node, storage, identity, delivery, and operating architecture
Infrastructure code, EKS clusters, node groups, add-ons, policies, and shared services
Workload packaging, GitOps, CI/CD, autoscaling, resource, and reliability controls
Observability, backup, recovery, upgrade, security, cost, and incident workflows
Developer, platform, security, operator, and handover documentation

Engagement models / 09

Use the delivery structure that matches the platform work.

01

Assessment and roadmap

A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.

02

Fixed-scope implementation

A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.

03

Embedded platform specialists

Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.

04

Managed platform evolution

Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.

FAQ

Amazon EKS engineering services

Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.

01

Can Rokad build private Amazon EKS clusters?

Yes. We design endpoint access, VPC routing, DNS, egress, bastion or controlled administration, private registries, AWS service access, and operational connectivity.

02

Should EKS use managed node groups or Fargate?

The decision depends on workload control, daemon requirements, networking, storage, architecture, scaling, cost, isolation, and operational preferences. Mixed designs are possible.

03

Can Rokad migrate an existing Kubernetes cluster to EKS?

Yes. We assess APIs, workloads, storage, ingress, identity, policies, add-ons, images, observability, backups, data, and cutover requirements.

04

Can Rokad manage EKS after launch?

Yes. Managed services can cover upgrades, nodes, add-ons, delivery, observability, incidents, security, backup, recovery, capacity, cost, and platform roadmap.

Amazon Elastic Kubernetes Service · Kubernetes services

Build EKS as an AWS-integrated platform with continuous lifecycle ownership.

Rokad can design the clusters, migrate workloads, implement identity and delivery, and operate upgrades, reliability, security, and cost.

Discuss Amazon EKS

Contact / 05

Bring us the difficult technology problem.

Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.

Direct email

sales@rokad.co

Response

Within one business day

Delivery

India and global

Your enquiry is delivered directly to the Rokad sales team. We normally respond within one business day.