Teams adopting containers across several services
Create a consistent orchestration, deployment, networking, observability, policy, and operating foundation.
Cluster architecture, workload migration, networking, policy, observability, upgrades, and managed operation
Rokad designs, implements, migrates, secures, and operates Kubernetes platforms for containerised workloads with explicit reliability, cost, and ownership controls.
Designed for / 01
Kubernetes is valuable when workload scale, portability, delivery, isolation, platform standardisation, or operational requirements justify its complexity. Rokad assesses suitability, designs clusters and platform services, migrates workloads, and establishes secure long-term operation.
Create a consistent orchestration, deployment, networking, observability, policy, and operating foundation.
Improve upgrades, security, resource management, availability, cost, telemetry, and ownership.
Standardise workload contracts across cloud, hybrid, edge, or dedicated environments where justified.
Challenges / 02
Clusters exist without clear tenancy, reliability, upgrade, cost, security, support, or developer-experience models.
Resources, probes, disruption, autoscaling, secrets, policies, logging, and deployment practices vary by team.
Version dependencies, add-ons, APIs, workloads, nodes, and maintenance procedures lack evidence and rehearsal.
Capabilities / 03
Kubernetes suitability, workload, platform, and cost assessment
Managed, self-managed, cloud, hybrid, edge, and multi-cluster architecture
Cluster provisioning, networking, ingress, DNS, storage, identity, and secrets
Workload packaging, policies, resource controls, autoscaling, and disruption
GitOps, CI/CD, environments, progressive delivery, and developer workflows
Metrics, logs, traces, events, security, backup, recovery, and incident response
Version upgrades, capacity, reliability, cost, governance, and managed operation
Platform expertise
Rokad designs, builds, migrates, secures, upgrades, and operates Amazon EKS platforms for production container workloads on AWS.
Rokad designs, builds, migrates, secures, upgrades, and operates Azure Kubernetes Service platforms for production container workloads.
Rokad designs, builds, migrates, secures, upgrades, and operates Google Kubernetes Engine platforms for production container workloads.
Rokad designs, builds, migrates, extends, secures, upgrades, and operates Red Hat OpenShift platforms across cloud, hybrid, and dedicated environments.
Solution components / 04
Control plane, nodes, networks, storage, identity, DNS, ingress, secrets, add-ons, and lifecycle.
Images, configuration, resources, probes, policies, autoscaling, disruption, dependencies, and deployment behaviour.
Delivery, observability, policy, certificates, registries, service networking, backup, developer access, and templates.
Upgrades, capacity, incidents, security, cost, reliability, disaster recovery, support, and ownership.
Use cases / 05
Establish production and non-production clusters, shared services, delivery, telemetry, policy, and operating procedures.
Adapt applications, configuration, storage, networking, health, deployment, and support for orchestrated operation.
Improve resource controls, availability, disruption, autoscaling, observability, upgrades, backup, and recovery.
Provide teams with governed namespaces, templates, quotas, access, delivery, telemetry, and support boundaries.
Architecture and integration / 06
Choose account, region, environment, tenant, workload, and failure-domain boundaries based on isolation and operations.
Evaluate storage, backup, consistency, recovery, performance, placement, and managed-service alternatives before deployment.
Track versions and APIs, test add-ons and workloads, rehearse node and control-plane changes, and avoid unsupported drift.
Quality and control / 07
Identity, permissions, secrets, data boundaries, dependencies, change controls, and recovery are addressed throughout delivery.
Metrics, logs, traces, quality, cost, failures, and service outcomes are made visible and actionable.
Configuration, tests, infrastructure, pipelines, artefacts, changes, and recovery procedures are versioned and repeatable.
Delivery / 08
Clarify the objective, users, systems, constraints, dependencies, risks, and measurable acceptance criteria.
Define the target design, interfaces, controls, migration or delivery sequence, and operating model.
Implement in controlled increments with testing, review, documentation, observability, and stakeholder validation.
Establish ownership, service controls, measurement, support, and a prioritised improvement backlog.
Typical deliverables
Engagement models / 09
A bounded evidence review, target direction, prioritised risks, and executable next-stage plan.
A defined implementation, migration, prototype, procurement, or transformation outcome with acceptance criteria.
Specialists working alongside internal product, engineering, data, operations, security, or procurement teams.
Ongoing ownership, maintenance, monitoring, supplier coordination, reliability, security, and improvement.
Related capabilities / 10
Expose Kubernetes through supported golden paths and platform interfaces.
Apply workload, image, policy, identity, secret, and runtime security controls.
Establish objectives, observability, resilience, capacity, and incident practices.
Application, cloud, security, reliability, maintenance, and continuous engineering operations.
Custom applications, platforms, integrations, APIs, and software modernisation.
Data pipelines, platforms, warehouses, analytics engineering, BI, and governance.
FAQ
Scope, ownership, assumptions, delivery, security, and long-term operation are clarified before work begins.
Not necessarily. We compare Kubernetes with simpler container, function, platform, and virtual-machine options based on workload count, team capability, scale, isolation, portability, and total operating cost.
Yes. We assess architecture, versions, add-ons, workloads, access, security, resource use, reliability, backup, observability, cost, and operating ownership before handover.
They can, but managed database services may provide a better risk and operating profile. We evaluate state, performance, recovery, skills, portability, and cost before recommending placement.
We review compatibility, deprecated APIs, add-ons, node images, policies, workloads, capacity, backups, maintenance sequence, validation, and rollback or recovery before staged upgrades.
Cloud and DevOps
Rokad can assess suitability, design the platform, migrate workloads, and establish secure, reliable long-term operation.
Contact / 05
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.