Compute / Cloud Container

Cloud Container

WLStack Cloud Container delivers managed Kubernetes and an integrated cloud-native application platform: deploy from Git, image or app templates, with built-in cluster and node-pool management, fixed-IP container networking, domains and SSL, shared databases, metrics and resource quotas — turning cloud-native delivery from "building a cluster" into "using a platform."

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Managed

Kubernetes platform

Multi-source

Git / image / template

Fixed IP

domains & SSL

Quota

metrics & observability

Turn cloud-native delivery from building clusters into using a platform

Cloud Container provides a managed Kubernetes control plane, a visual console and an integrated application platform. Teams deploy with one click from a Git repository, a container image or an app template; the platform handles build, scheduling, domain and certificate issuance, storage mounts and monitoring automatically, with per-project multi-tenant isolation and quota management — running microservices, batch jobs and AI inference without standing up a complex cluster yourself.

Product advantages

One-click app delivery

Deploy from Git auto-build, container images or app templates, with Webhook triggers and build logs for a standardized continuous-delivery pipeline.

  • Git auto-build
  • Image / template deploy
  • Webhook triggers
  • Rolling release & rollback

Managed cluster & node pools

A guided installer, managed control plane and multi-node-pool management with node add/maintenance and GPU nodes cut cluster setup and ops complexity.

  • Guided install
  • Multiple node pools
  • GPU node support
  • Node maintenance mode

Fixed IP, domains & SSL

Fixed-IP container networking on Multus / Spiderpool, plus auto-assigned domains, custom domains and SSL certificates, make services externally reachable out of the box.

  • Fixed-IP networking
  • Auto-assigned domains
  • Custom domains
  • Automatic SSL

Quotas & observability

Built-in VictoriaMetrics collection with multi-node aggregation, resource-quota enforcement and spread scheduling of replicas balance stability and cost.

  • Metrics & aggregation
  • Quota enforcement
  • Replica spread scheduling
  • Real-time alerts

Core capabilities

Multi-source deploy from Git, image and templates

Deploy via Git auto-build, container image or app template, with a built-in build system and build logs, Webhook triggers, rolling release and rollback.

  • Git source auto-build
  • Image / app templates
  • Webhook-triggered deploy
  • Rolling release & rollback

Managed control plane and node pools

A guided installer, managed Kubernetes control plane and multi-node-pool management, with node add, maintenance mode and GPU node initialization.

  • Guided install
  • Multiple node pools
  • Node maintenance mode
  • GPU node init

Fixed IP, domains and SSL

Fixed-IP container networking with a dual IP-pool design on Multus / Spiderpool, plus system domains, custom domains and automatic SSL.

  • Fixed-IP networking
  • Auto / custom domains
  • Automatic SSL
  • Network isolation

Persistent volumes and shared databases

Shared storage directories with extra mounts and persistent volumes, plus lifecycle management of multi-tenant shared database instances.

  • Shared storage dirs
  • Persistent volumes
  • Shared DB instances
  • Password access control

Metric collection and resource quotas

VictoriaMetrics-based collection with multi-node aggregation, multi-dimensional quota enforcement and spread scheduling of replicas.

  • VictoriaMetrics metrics
  • Multi-node aggregation
  • Quota enforcement
  • Replica spread scheduling

Project isolation, 2FA and backup

Per-project multi-tenant isolation and quota management, with members and roles, two-factor authentication, and S3 backup targets with schedules.

  • Projects & roles
  • Two-factor auth
  • S3 backup targets
  • Database backup plans

Typical scenarios

Microservices & web apps

An elastic, observable and scalable runtime for microservice architectures, published externally with domains and certificates in one step.

  • Microservice orchestration
  • Service discovery
  • Elastic scaling
  • Canary release

AI inference & batch

GPU node pools and multi-replica scheduling host online inference services and offline batch jobs.

  • GPU node pools
  • Inference services
  • Batch jobs
  • Elastic resources

Internal PaaS

A self-service delivery platform per project for business teams, with unified quota, permissions and observability.

  • Project multi-tenancy
  • Members & roles
  • Self-service delivery
  • Unified quota

Multi-tenant SaaS

Tenant isolation, shared database instances and on-demand backup for multi-tenant SaaS platforms.

  • Tenant isolation
  • Shared databases
  • Scheduled backup
  • Elastic scaling

FAQ

If your application is cloud-native and needs elastic scaling and standardized delivery, Cloud Container fits better; for traditional monoliths or full OS control, Cloud Server fits better. They can also be used together.

Git auto-build, direct container-image deployment and app-template deployment, with Webhook-triggered automatic releases.

Yes. The platform provides fixed-IP container networking on Multus / Spiderpool, with auto-assigned domains, custom-domain binding and automatic SSL issuance.

Yes. GPU node pools host AI inference and batch workloads that need acceleration, with replica spread scheduling.

Through shared storage directories, extra mounts and persistent volumes for stateful services, plus the platform's shared database instances.