Rokad

Cluster architecture, workload migration, networking, policy, observability, upgrades, and managed operation

Kubernetes services

Rokad designs, implements, migrates, secures, and operates Kubernetes platforms for containerised workloads with explicit reliability, cost, and ownership controls.

Designed for / 01

A focused delivery model for the organisations that need it.

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.

01

Teams adopting containers across several services

Create a consistent orchestration, deployment, networking, observability, policy, and operating foundation.

02

Organisations stabilising an existing Kubernetes estate

Improve upgrades, security, resource management, availability, cost, telemetry, and ownership.

03

Platforms requiring controlled workload portability

Standardise workload contracts across cloud, hybrid, edge, or dedicated environments where justified.

Challenges / 02

The problems this service is built to solve.

01

Kubernetes was adopted before operating requirements were defined

Clusters exist without clear tenancy, reliability, upgrade, cost, security, support, or developer-experience models.

02

Workload configuration is inconsistent

Resources, probes, disruption, autoscaling, secrets, policies, logging, and deployment practices vary by team.

03

Cluster upgrades carry excessive risk

Version dependencies, add-ons, APIs, workloads, nodes, and maintenance procedures lack evidence and rehearsal.

Capabilities / 03

What Rokad can deliver.

01

Kubernetes suitability, workload, platform, and cost assessment

02

Managed, self-managed, cloud, hybrid, edge, and multi-cluster architecture

03

Cluster provisioning, networking, ingress, DNS, storage, identity, and secrets

04

Workload packaging, policies, resource controls, autoscaling, and disruption

05

GitOps, CI/CD, environments, progressive delivery, and developer workflows

06

Metrics, logs, traces, events, security, backup, recovery, and incident response

07

Version upgrades, capacity, reliability, cost, governance, and managed operation

Solution components / 04

The system behind the visible product.

01

Cluster foundation

Control plane, nodes, networks, storage, identity, DNS, ingress, secrets, add-ons, and lifecycle.

02

Workload contract

Images, configuration, resources, probes, policies, autoscaling, disruption, dependencies, and deployment behaviour.

03

Platform services

Delivery, observability, policy, certificates, registries, service networking, backup, developer access, and templates.

04

Cluster operation

Upgrades, capacity, incidents, security, cost, reliability, disaster recovery, support, and ownership.

Use cases / 05

Where this capability creates practical leverage.

01

Container platform implementation

Establish production and non-production clusters, shared services, delivery, telemetry, policy, and operating procedures.

02

Workload migration to Kubernetes

Adapt applications, configuration, storage, networking, health, deployment, and support for orchestrated operation.

03

Kubernetes reliability programme

Improve resource controls, availability, disruption, autoscaling, observability, upgrades, backup, and recovery.

04

Multi-tenant internal platform

Provide teams with governed namespaces, templates, quotas, access, delivery, telemetry, and support boundaries.

Architecture and integration / 06

Designed to fit the wider technology environment.

01

Cluster topology

Choose account, region, environment, tenant, workload, and failure-domain boundaries based on isolation and operations.

02

Stateful workload discipline

Evaluate storage, backup, consistency, recovery, performance, placement, and managed-service alternatives before deployment.

03

Upgrade as a continuous process

Track versions and APIs, test add-ons and workloads, rehearse node and control-plane changes, and avoid unsupported drift.

Quality and control / 07

Production requirements are part of the build.

01

Secure by design

Identity, permissions, secrets, data boundaries, dependencies, change controls, and recovery are addressed throughout delivery.

02

Observable operation

Metrics, logs, traces, quality, cost, failures, and service outcomes are made visible and actionable.

03

Reproducible delivery

Configuration, tests, infrastructure, pipelines, artefacts, changes, and recovery procedures are versioned and repeatable.

Delivery / 08

A controlled path from requirement to operation.

01

Discover

Clarify the objective, users, systems, constraints, dependencies, risks, and measurable acceptance criteria.

02

Architect

Define the target design, interfaces, controls, migration or delivery sequence, and operating model.

03

Deliver and validate

Implement in controlled increments with testing, review, documentation, observability, and stakeholder validation.

04

Operate and improve

Establish ownership, service controls, measurement, support, and a prioritised improvement backlog.

Typical deliverables

Kubernetes suitability, workload, and current-state assessment
Cluster, tenancy, networking, storage, identity, and platform architecture
Infrastructure code, cluster configuration, policies, and shared services
Workload manifests, packaging, delivery, autoscaling, and reliability controls
Observability, security, backup, upgrade, and recovery implementation
Runbooks, service model, cost, governance, and handover documentation

Engagement models / 09

Use the delivery structure that matches the work.

01

Assessment and roadmap

A bounded evidence review, target direction, prioritised risks, and executable next-stage plan.

02

Fixed-scope delivery

A defined implementation, migration, prototype, procurement, or transformation outcome with acceptance criteria.

03

Embedded specialists

Specialists working alongside internal product, engineering, data, operations, security, or procurement teams.

04

Managed lifecycle

Ongoing ownership, maintenance, monitoring, supplier coordination, reliability, security, and improvement.

FAQ

Kubernetes services

Scope, ownership, assumptions, delivery, security, and long-term operation are clarified before work begins.

01

Does our application need Kubernetes?

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.

02

Can Rokad manage an existing Kubernetes cluster?

Yes. We assess architecture, versions, add-ons, workloads, access, security, resource use, reliability, backup, observability, cost, and operating ownership before handover.

03

Can databases run on Kubernetes?

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.

04

How are Kubernetes upgrades handled?

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

Use Kubernetes where its operating model creates real leverage.

Rokad can assess suitability, design the platform, migrate workloads, and establish secure, reliable long-term operation.

Discuss your Kubernetes platform

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.