Rapyder’s managed Kubernetes services give platform teams consistent governance across multiple Kubernetes distributions — whether running on AWS, Azure, GCP, on-premises, or in a hybrid setup. Engagements cover cluster lifecycle management, security, upgrades, and operations, so teams supporting more than one environment get a single operating model instead of per-platform silos.
Kubernetes is the industry standard for orchestrating containerized applications, but self-managing it presents significant challenges:
Our comprehensive Kubernetes Consulting services cover every aspect of your Kubernetes environment, ensuring maximum performance and reliability:
Rapyder provides day-two Kubernetes operations across Amazon EKS, Azure Kubernetes Service, compatible Google Cloud or other Kubernetes platforms, hybrid environments, and on-premises clusters according to scope. The service supports teams that need consistent cluster governance without assigning every upgrade, security finding, capacity issue, and incident to application developers.
The engagement begins with workload, dependency, cluster, identity, network, storage, observability, deployment, security, backup, and support-process assessment. Rapyder then standardizes the agreed configuration, access, policies, logging, metrics, GitOps or CI/CD integration, maintenance, escalation, and recovery practices.
Ongoing operations can include cluster health, incidents, version and add-on planning, capacity, vulnerability remediation, backup validation, workload onboarding, policy, and cost review. Application teams retain application code, testing, product decisions, and business acceptance unless separately included.
We leverage cutting-edge tools to deliver a robust managed Kubernetes services:
As one of the mainstream managed Kubernetes providers, Rapyder delivers with unmatched expertise:
| DECISION FACTOR | MANAGED KUBERNETES SERVICES | AWS MANAGED KUBERNETES SERVICE |
|---|---|---|
| Primary platform | Multi-cloud, hybrid, on-premises, or platform-neutral | Amazon EKS on AWS |
| Operating model | Common governance across different Kubernetes distributions | AWS-native identity, networking, compute, security, and operations |
| Best buyer fit | Platform teams supporting more than one environment | Teams standardizing Kubernetes workloads on AWS |
| Content depth | Cross-platform lifecycle and governance | EKS control plane, compute, add-ons, access, upgrades, and AWS cost |
Our managed Kubernetes services support high-demand, high-compliance sectors:
Rapyder, a trusted provider of Kubernetes managed services in India, delivers stability, security, and efficiency. We run managed Kubernetes services in Mumbai, Delhi & in Bangalore.
Focus on building innovative applications while we manage the infrastructure. Contact us for a free assessment and tailored Kubernetes plan.
Common Questions
Managed Kubernetes services provide ongoing operational ownership around production clusters. Scope can include cluster configuration, access, networking integration, observability, policy, upgrades, vulnerability remediation, backup, recovery, capacity, cost, incidents, and deployment-platform support across agreed Kubernetes environments.
No. A cloud provider may operate the Kubernetes control plane and automate parts of compute management, but customers still own workloads, data, access decisions, deployment, policy, observability, recovery, and service outcomes. Rapyder manages the agreed day-two responsibilities around that foundation.
Yes, where the relevant platforms and distributions are supportable and included in scope. Rapyder can define common practices for access, configuration, deployments, observability, security, backup, incidents, and reporting while preserving provider-specific technical controls.
Yes. Planning can cover manifests, images, storage, networking, identity, secrets, ingress, policies, observability, dependencies, testing, cutover, and rollback. Portability must be assessed workload by workload because managed services, storage, networking, and identity integrations often differ across platforms.
Rapyder inventories API use, add-ons, operators, node or compute versions, policies, and workload dependencies. Changes are tested in a representative environment, scheduled with rollback criteria, validated after implementation, and followed by corrective actions where needed.
Rapyder can review workload requests and limits, node selection, autoscaling, scheduling, storage, idle capacity, shared-cluster allocation, and commitment options. Cost changes are evaluated against availability, performance, isolation, and recovery needs rather than optimizing utilization alone.
Controls can include identity integration, least privilege, workload identities, secrets protection, image and vulnerability workflows, network and admission policies, configuration checks, runtime signals, audit logs, and remediation. Application code and business-risk decisions remain with the customer unless explicitly scoped.
Delivery Head, Rapyder Cloud Solutions
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