Rapid Scaling
Scale from 3 to 500+ nodes instantly. Auto-scaling policies adjust resources based on demand, ensuring optimal performance and cost efficiency.
Deploy production-ready Kubernetes clusters in minutes. Scale from development to enterprise with managed container orchestration that handles the complexity for you.
Focus on your applications while we manage the infrastructure. High-availability control plane, auto-scaling worker nodes, and integrated monitoring included.
Scale from 3 to 500+ nodes instantly. Auto-scaling policies adjust resources based on demand, ensuring optimal performance and cost efficiency.
Integrated registry, monitoring, logging, and networking. Deploy microservices, batch jobs, and stateful applications with confidence.
High-availability control plane with 99.9% SLA. Automated backups, disaster recovery, and multi-zone deployment options included.
From cluster creation to application deployment in three simple steps
Choose your cluster size, node types, and networking configuration. Clusters deploy in under 2 minutes with our automated provisioning.
Download kubeconfig and connect using kubectl, Helm, or your preferred Kubernetes tools. RBAC and networking policies included.
Deploy from our application catalog or use your own container images. Integrated monitoring and logging start working immediately.
Production-ready capabilities that scale with your business needs
Mix different instance types in the same cluster. Use memory-optimized nodes for databases and CPU-optimized nodes for compute-intensive workloads.
Seamless Kubernetes version upgrades with zero-downtime rolling updates. Control plane and worker nodes update automatically during maintenance windows.
Kubernetes LoadBalancer services automatically provision Fada Cloud Load Balancers. Handle ingress traffic with SSL termination and health checks.
Multi-master setup with automatic failover ensures your cluster API is always available. Etcd backups and disaster recovery included.
Distribute workloads across multiple availability zones for maximum resilience. Automatic zone balancing and anti-affinity rules included.
Built-in CSI driver for automatic persistent volume provisioning. Support for both block storage and object storage backends.
See how teams use managed Kubernetes to build and scale cloud-native applications
Deploy and manage hundreds of microservices with service discovery, load balancing, and distributed tracing. Perfect for breaking down monolithic applications.
Run build agents, testing frameworks, and deployment workflows on Kubernetes. Scale build capacity on-demand and reduce CI/CD costs significantly.
Run Apache Spark, TensorFlow, and other data processing frameworks. Scale compute resources automatically based on workload demands.
Deploy multi-tenant SaaS applications with isolation, monitoring, and automatic scaling. Handle varying customer workloads efficiently.
Works perfectly with other Fada Cloud services for complete solutions
Mix Kubernetes workloads with traditional VMs in the same VPC. Perfect for gradual migration to containerized applications while maintaining legacy systems.
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Automatic persistent volume provisioning with high-performance NVMe storage. Perfect for databases, file systems, and stateful applications running in pods.
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Kubernetes services automatically provision load balancers with SSL termination, health checks, and traffic distribution across pods and availability zones.
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Common questions about managed Kubernetes deployment and management
We support the latest stable Kubernetes versions and maintain compatibility with the three most recent releases. Clusters are automatically updated during maintenance windows with zero downtime. You can also schedule manual upgrades at your preferred time.
Clusters support both manual and automatic scaling. The cluster autoscaler monitors resource usage and adds or removes worker nodes based on pod scheduling demands. You can set minimum and maximum node counts, and scaling typically completes within 2-3 minutes.
Every cluster includes Prometheus for metrics collection, Grafana dashboards for visualization, and centralized logging with Elasticsearch and Kibana. Cluster and application metrics are retained for 30 days, with options for longer retention periods.
Yes, clusters can pull images from any container registry including Docker Hub, private registries, and cloud provider registries. We also provide an integrated container registry service for storing your private images securely within the same data center.
Automated daily backups of etcd data and cluster configurations are included. Persistent volumes are backed up using snapshots. We also support cross-zone deployment for high availability and can assist with disaster recovery planning and testing.
Our migration specialists provide assessment services, containerization assistance, and deployment strategies. We offer tools for application discovery, dependency mapping, and gradual migration approaches that minimize risk and downtime during the transition.
Start your Kubernetes journey with a managed service that scales with your business. Our experts are ready to help you containerize and orchestrate your applications.