Cloud Native

Managed operations for containerized workloads. Kubernetes, serverless, and microservices, with full governance, observability, and predictable costs.

Problem

Cloud Native Doesn't Mean Cloud Simple

Containers and microservices promise agility, but at scale, they deliver complexity. Sprawling clusters, inconsistent deployments, security blind spots, and cost surprises. Without unified operations, your cloud-native stack becomes harder to run than what it replaced.

• Kubernetes clusters growing faster than your team's capacity
• Security and compliance gaps across containerized workloads
• Unpredictable costs from serverless and container sprawl

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Approach

Run Cloud Native Without the Chaos

We manage your containerized workloads end-to-end. Kubernetes, serverless, microservices. Your teams build features instead of fighting infrastructure. Full governance, observability, and cost control included.

Container Orchestration

Managed Kubernetes across AWS, Azure, and GCP. Cluster lifecycle management, scaling policies, security hardening, and continuous compliance. Without your team becoming full-time cluster admins.

Serverless Operations

Operational governance for serverless workloads. Cost monitoring, performance optimization, and security controls for Lambda, Azure Functions, and Cloud Functions at scale.

Microservices Governance

Service mesh management, API gateway operations, and observability across your microservices landscape. We keep the architecture running while you keep shipping.

Business Impact

What You Actually Get

Cloud-native at scale without the operational chaos.

Managed

Operational Freedom

Your teams build features. We handle cluster lifecycle, scaling, security, and compliance.

Fixed

Predictable Costs

Container and serverless cost management with fixed monthly billing. No surprises.

Continuous

Security Hardened

Container security scanning, network policies, and compliance monitoring built into operations.

"The cloud management model has allowed us to significantly reduce the IT workload and free up our hands for other tasks. We can be confident that the solutions our businesses are delivering are best practice, functional, secure and cost-effective."

Mikko Pellinen

Technology Architect, Digita

Why Cloud2

Cloud-Native Operations Experts

Kubernetes, serverless, microservices. Managed at scale across all major clouds.

Multi-Cloud Kubernetes

EKS, AKS, GKE. Managed with consistent operations across all providers.

Full Stack Coverage

Containers, serverless, service mesh, API gateways. Complete cloud-native operations.

Security Built In

Container scanning, network policies, RBAC, and compliance monitoring as standard.

Fixed Pricing

Predictable monthly costs per workload. No cost surprises from container or serverless sprawl.

Success Stories

Proven in Production

Real customers, real results. No hypotheticals.

Telecommunications

Digita

Multi-cloud DevOps transformation for telecommunications infrastructure provider

Solid foundation

Well-managed multi-cloud environment

Energy & Utilities

Kempower

Driving growth with expertise and scalability for Kempower's global cloud needs

24/7

Operational cloud support across AWS & Azure

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FAQ

Common Questions

Which Kubernetes distributions do you support?

EKS, AKS, GKE, and self-managed Kubernetes. We manage the cluster lifecycle regardless of provider.

Do you manage serverless workloads too?

Yes. Lambda, Azure Functions, Cloud Functions. Operational governance, cost monitoring, and security controls included.

How do you handle scaling?

Cluster autoscaling, pod autoscaling, and serverless scaling managed through policies aligned with your workload patterns.

What about service mesh?

We manage Istio, Linkerd, and cloud-native service mesh options. Including observability, traffic management, and security.

Can we start with a few workloads?

Yes. Most customers start with their most critical containerized workloads and expand as they see the value.

Field Notes

Cloud Native Operations

How teams run containerized workloads at scale without burning out.

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