AWS teams standardising container workloads
Create consistent EKS clusters, node platforms, networking, identity, add-ons, delivery, observability, and workload controls.
EKS cluster architecture, VPC networking, IAM, workload identity, node platforms, add-ons, GitOps, observability, upgrades, and operations
Rokad designs, builds, migrates, secures, upgrades, and operates Amazon EKS platforms for production container workloads on AWS.
Platform fit / 01
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.
Create consistent EKS clusters, node platforms, networking, identity, add-ons, delivery, observability, and workload controls.
Adapt applications, images, configuration, storage, networking, health, scaling, deployment, and support for Kubernetes operation.
Improve versions, node groups, add-ons, IAM, security, resource efficiency, telemetry, backup, reliability, and ownership.
Implementation risks / 02
Clusters, accounts, regions, environments, tenants, node groups, add-ons, networks, and support responsibilities do not align.
Human access, roles, service accounts, pod permissions, secrets, cluster administration, and audit create excessive privilege.
Kubernetes versions, AMIs, add-ons, APIs, controllers, workloads, and disruption are not continuously tested.
Platform capabilities / 03
EKS suitability, account, region, cluster, tenancy, workload, cost, and operating assessment
VPC, subnet, endpoint, load balancer, ingress, DNS, service, egress, private-cluster, and hybrid connectivity architecture
Managed node groups, Fargate, autoscaling, node images, architectures, capacity, spot, scheduling, and workload placement
IAM, access entries, workload identity, service accounts, secrets, KMS, policies, admission, image, and runtime security
EBS, EFS, S3 integration, stateful workloads, backup, restore, disaster recovery, and data-service decisions
Helm, GitOps, CI/CD, registries, add-ons, observability, logging, tracing, policy, and developer golden paths
Version and add-on upgrades, reliability, performance, cost, incidents, runbooks, and managed EKS operation
Implementation system / 04
AWS accounts, regions, VPCs, subnets, endpoints, control plane, node platforms, DNS, storage, and shared add-ons.
Human access, IAM, workload identity, RBAC, namespaces, policies, secrets, images, resources, quotas, and isolation.
Registries, Helm, GitOps, pipelines, progressive delivery, metrics, logs, traces, alerts, service objectives, and runbooks.
Versions, add-ons, node images, capacity, incidents, backup, recovery, security, cost, support, and lifecycle ownership.
Use cases / 05
Establish cluster, network, node, identity, add-on, storage, delivery, observability, security, and operating foundations.
Containerise and adapt services through workload assessment, deployment contracts, data decisions, testing, cutover, and support transition.
Provide governed namespaces, accounts, templates, policies, quotas, access, telemetry, delivery, and service boundaries.
Modernise versions, nodes, add-ons, policies, autoscaling, disruption, telemetry, backup, recovery, and operational readiness.
Architecture / 06
Separate accounts, regions, environments, teams, regulated workloads, and critical services when isolation or lifecycle requires it.
Give service accounts scoped AWS permissions without distributing node credentials or long-lived application keys.
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
Cluster versions, node images, APIs, add-ons, operators, workloads, backups, and upgrade paths remain tested and supportable.
Identity, namespaces, policies, secrets, resources, disruption, autoscaling, networking, storage, and isolation are explicit.
Control plane, nodes, workloads, networking, storage, delivery, security, capacity, cost, and incidents are visible to accountable operators.
Delivery / 08
Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.
Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.
Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.
Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.
Typical platform deliverables
Engagement models / 09
A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.
A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.
Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.
Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.
Related platforms and services / 10
AKS cluster, Entra identity, Azure networking, node pools, policy, delivery, and operations.
GKE cluster, Autopilot or Standard, networking, identity, fleet, security, and operations.
Enterprise Kubernetes, Operators, platform services, GitOps, security, upgrades, and hybrid operation.
Cloud architecture, delivery automation, observability, security, reliability, and platform operation.
Custom applications, backends, integrations, APIs, marketplaces, and enterprise systems.
Ongoing application, cloud, security, reliability, support, and continuous improvement.
FAQ
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
Yes. We design endpoint access, VPC routing, DNS, egress, bastion or controlled administration, private registries, AWS service access, and operational connectivity.
The decision depends on workload control, daemon requirements, networking, storage, architecture, scaling, cost, isolation, and operational preferences. Mixed designs are possible.
Yes. We assess APIs, workloads, storage, ingress, identity, policies, add-ons, images, observability, backups, data, and cutover requirements.
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
Rokad can design the clusters, migrate workloads, implement identity and delivery, and operate upgrades, reliability, security, and cost.
Contact / 05
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.