Managed operations for containerized workloads. Kubernetes, serverless, and microservices, with full governance, observability, and predictable costs.
Problem
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.
Approach
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.
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.
Operational governance for serverless workloads. Cost monitoring, performance optimization, and security controls for Lambda, Azure Functions, and Cloud Functions at scale.
Service mesh management, API gateway operations, and observability across your microservices landscape. We keep the architecture running while you keep shipping.
"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
Field Notes
How teams run containerized workloads at scale without burning out.
Platform Engineering
9 min read
This blog is part of our Platform Engineering series. For a deeper understanding of our perspective on platform engineering, check out our other posts:
Platform Engineering
6 min read
This blog is part of our Platform Engineering series. For a deeper understanding of our perspective on platform engineering, check out our other posts:
Cloud
2 min read
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