Enterprises standardising Kubernetes with vendor support
Create governed container and application platforms with Operators, security, lifecycle, developer tooling, observability, and support.
OpenShift Container Platform, managed OpenShift, Operators, GitOps, platform services, security, hybrid architecture, upgrades, and operations
Red Hat OpenShift engineering services
Rokad designs, builds, migrates, extends, secures, upgrades, and operates Red Hat OpenShift platforms across cloud, hybrid, and dedicated environments.
Platform fit / 01
Designed for teams with a specific platform requirement.
OpenShift adds an opinionated enterprise application platform, Operators, integrated lifecycle, security controls, developer workflows, and hybrid deployment options around Kubernetes. Rokad designs cluster topology, infrastructure, identity, Operators, networking, storage, GitOps, developer experience, observability, upgrades, support, and governance as a coherent platform product.
Organisations operating hybrid or regulated environments
Deploy consistent platform capabilities across datacentre, cloud, edge, or managed OpenShift while respecting local boundaries.
Teams modernising applications onto OpenShift
Adapt workloads, build processes, images, storage, networking, identity, policy, delivery, and support to platform standards.
Implementation risks / 02
The platform problems Rokad is prepared to solve.
OpenShift is deployed as infrastructure rather than a platform product
Operators, templates, GitOps, developer access, security, service levels, support, adoption, and roadmap lack ownership.
Operator lifecycle and cluster lifecycle are not coordinated
Channel, version, dependencies, custom resources, workloads, storage, networking, and upgrade paths create hidden coupling.
Legacy workloads conflict with restricted security defaults
Images, users, filesystem, privileges, ports, volumes, network, and runtime expectations require controlled remediation.
Platform capabilities / 03
What Rokad can implement and operate.
01
OpenShift suitability, edition, managed or self-managed model, infrastructure, subscription, cluster, workload, and cost assessment
02
OpenShift Container Platform, managed OpenShift, cloud, datacentre, hybrid, edge, disconnected, and multi-cluster architecture
03
Cluster installation, machine pools, networking, ingress, DNS, storage, identity, certificates, registries, and platform services
04
Operators, Operator Lifecycle Manager, custom resources, service mesh, serverless, pipelines, GitOps, and developer workflows
05
Projects, RBAC, security context constraints, policies, secrets, images, supply chain, network policy, and compliance controls
06
Application migration, build and image strategy, templates, Helm, GitOps, CI/CD, observability, logging, tracing, and backup
07
Cluster and Operator upgrades, capacity, reliability, recovery, support, incident, subscription, cost, and managed operation
Implementation system / 04
The architecture behind a dependable platform delivery.
OpenShift infrastructure
Clusters, machines, cloud or datacentre integration, networking, ingress, DNS, storage, identity, certificates, and registries.
Application platform services
Operators, GitOps, pipelines, templates, service mesh, serverless, builds, registries, developer interfaces, and golden paths.
Security and governance
Projects, RBAC, security contexts, policy, secrets, images, network isolation, audit, compliance, and delegated ownership.
OpenShift operations
Versions, channels, Operators, machines, capacity, incidents, backup, recovery, subscriptions, cost, support, and roadmap.
Use cases / 05
Where this platform creates practical leverage.
Enterprise OpenShift platform
Build supported cluster, identity, network, storage, Operator, GitOps, observability, security, and service-management foundations.
Application migration to OpenShift
Remediate images and runtime expectations, package workloads, connect data and services, test, cut over, and transfer ownership.
Hybrid OpenShift operating model
Standardise platform and workload controls across managed cloud, self-managed cloud, datacentre, and edge clusters.
OpenShift lifecycle recovery
Address unsupported versions, Operator drift, security findings, capacity, storage, backup, telemetry, and upgrade blockers.
Architecture / 06
Platform-specific engineering decisions and boundaries.
Operators are production software dependencies
Track ownership, channels, versions, permissions, custom resources, compatibility, support, backup, and upgrade impact.
Security defaults shape application migration
Remediate privileges, users, filesystems, capabilities, secrets, images, ports, and network access rather than weakening the whole platform.
Hybrid consistency does not require identical infrastructure
Standardise workload, policy, GitOps, identity, telemetry, and support contracts while allowing environment-specific infrastructure.
Quality and governance / 07
Production controls are part of the implementation.
Supported lifecycle
Cluster versions, node images, APIs, add-ons, operators, workloads, backups, and upgrade paths remain tested and supportable.
Workload and tenancy controls
Identity, namespaces, policies, secrets, resources, disruption, autoscaling, networking, storage, and isolation are explicit.
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.
Assess
Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.
Design
Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.
Implement and validate
Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.
Launch and operate
Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.
Typical platform deliverables
OpenShift edition, infrastructure, cluster, Operator, workload, security, subscription, cost, and risk assessment
Cluster, hybrid, tenancy, network, storage, identity, Operator, delivery, and operating architecture
Infrastructure, OpenShift clusters, machine pools, Operators, policies, registries, and shared services
Application packaging, migration, GitOps, pipelines, templates, resource, and reliability controls
Observability, backup, recovery, upgrade, security, subscription, cost, and incident workflows
Developer, platform, security, operator, support, and handover documentation
Engagement models / 09
Use the delivery structure that matches the platform work.
Assessment and roadmap
A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.
Fixed-scope implementation
A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.
Embedded platform specialists
Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.
Managed platform evolution
Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.
Related platforms and services / 10
Compare adjacent platforms or continue into the wider system.
01
Amazon EKS
AWS-managed Kubernetes integrated with IAM, VPC, nodes, data, and cloud operations.
02
Azure AKS
Azure-managed Kubernetes integrated with Entra, networking, policy, data, and cloud operations.
03
Google GKE
Google-managed Kubernetes through Standard, Autopilot, fleet, identity, and cloud operations.
01
Cloud and DevOps
Cloud architecture, delivery automation, observability, security, reliability, and platform operation.
02
Software development
Custom applications, backends, integrations, APIs, marketplaces, and enterprise systems.
03
Managed technology services
Ongoing application, cloud, security, reliability, support, and continuous improvement.
FAQ
Red Hat OpenShift engineering services
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
01Can Rokad work with managed and self-managed OpenShift?
Can Rokad work with managed and self-managed OpenShift?
Yes. We evaluate provider responsibility, infrastructure, network, identity, Operators, subscriptions, security, lifecycle, support, and workload needs for the selected model.
02Can Rokad migrate standard Kubernetes workloads to OpenShift?
Can Rokad migrate standard Kubernetes workloads to OpenShift?
Yes. We assess APIs, images, security contexts, storage, ingress, identity, policies, Operators, delivery, telemetry, data, and cutover requirements.
03Can Rokad help with OpenShift Operators and GitOps?
Can Rokad help with OpenShift Operators and GitOps?
Yes. We design Operator selection and lifecycle, GitOps repositories, promotion, secrets, policies, applications, drift, observability, rollback, and ownership.
04Can Rokad manage OpenShift upgrades?
Can Rokad manage OpenShift upgrades?
Yes. We review channels, supported paths, Operators, APIs, machines, storage, networking, workloads, capacity, backups, maintenance, validation, and recovery.
Red Hat OpenShift · Kubernetes services
Operate OpenShift as an enterprise application platform with controlled Operator and upgrade lifecycles.
Rokad can design the environment, migrate workloads, build GitOps and platform services, and manage reliability, security, and support.
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.