Cluster Provisioning
Cluster provisioning workflow and connectivity checks.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Kubernetes
Workloads, scaling, Helm, and operators across your fleets
Provision cloud clusters, orchestrate workloads, auto-scale, and manage Helm charts and operators — all from a single control plane.
K8s & Containers
Cloud Clusters
Monitor, connect, and run day-2 operations across your Kubernetes fleet, resource usage on cards, secure kubeconfig and enterprise connection flows, in-browser kubectl, upgrade readiness, provisioning, and multi-cluster control plane settings.
Product walkthrough
See it in Cloud Admin
Screens from the live product, with a short note on when you would open each view.
Provision cluster
Cluster provisioning form with target version and readiness.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Multi-cluster Settings
Multi-cluster Karmada-style control plane settings.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Day-2 Kubernetes
From inventory to incident response
Whether you are onboarding a new provider cluster or standardizing upgrades across tenants, Cloud Admin keeps connection security and operational velocity in the same product.
See posture first
Healthy badges and utilization bars make it obvious where pressure shows up before alerts fire everywhere.
Connect
Prerequisites and RBAC expectations are spelled up front; recommended paths reduce misconfiguration during attach.
Operate in one plane
Terminal, upgrades, and multi-cluster settings live beside the same cluster truth. Fewer handoffs between tools.
Put cluster policy next to production reality
Use Cloud Clusters in Cloud Admin as the hub for attach, observe, and change, across providers and teams.
Get a demoDay-2 Kubernetes
Orchestrate Workloads
Day-2 is where platforms succeed or stall. FusioNative centralizes workload inventory with filters, refresh discipline, and per-workload actions so operators ship fixes, not spreadsheets.
Product walkthrough
See it in Cloud Admin
Screens from the live product, with a short note on when you would open each view.
Active Workloads
Cluster workloads: deployments, statefulsets, and daemonsets.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Namespace Workloads
Pods per namespace sorted by count.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Pod Analytics · Overview
In Pod Analytics, the Overview view answers one operational question at a time, pod workload analytics with running and gpu pod counts. Part of workload operations; use it when you need evidence before changing limits, scaling, or opening a ticket.
- GPU and cluster metrics on one screen
- Charts link utilization to time so you spot spikes quickly
- One click into deeper tabs when something looks off
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Pod · Health
In Pod, the Health view answers one operational question at a time, pod health with restarts and crashloopbackoff visibility. Part of workload operations; use it when you need evidence before changing limits, scaling, or opening a ticket.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
Click the screenshot to open full size, zoom, and pan.
Pod · Top Consumers
In Pod, the Top Consumers view answers one operational question at a time, top cpu and memory consuming pods. Part of workload operations; use it when you need evidence before changing limits, scaling, or opening a ticket.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
Click the screenshot to open full size, zoom, and pan.
Pod · Issues
In Pod, the Issues view answers one operational question at a time, pod issues: restarts, pending pods, and gpu starvation. Part of workload operations; use it when you need evidence before changing limits, scaling, or opening a ticket.
- GPU and cluster metrics on one screen
- Enough context to assign an owner without opening five tools
- Clear next step: scale, restart, patch quota, or escalate
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Workloads
Workloads page with deployment list and resource summary.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Create Workload
Create New Workload modal for deployments.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Operator experience
Less context switching, faster remediation
Give developers self-service boundaries while operators retain audit-friendly controls and consistent workflows.
Compute · Kubernetes
Auto Scaling
Horizontal and vertical pod autoscaling, KEDA, cluster node autoscaling, events, recommendations, and scaling policies, cluster-scoped, with guided create flows for HPAs, VPAs, and KEDA ScaledObjects.
Product walkthrough
See it in Cloud Admin
Screens from the live product, with a short note on when you would open each view.
Autoscaling · Overview
In Autoscaling, the Overview view answers one operational question at a time, autoscaling overview with hpa, vpa, keda, and ca cards. Part of autoscaling policies; use it when you need evidence before changing limits, scaling, or opening a ticket.
- KPI strip shows the numbers leadership cares about first
- Charts link utilization to time so you spot spikes quickly
- One click into deeper tabs when something looks off
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Horizontal Pod Autoscalers
Active HPAs for keda and knative-serving.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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K8s Auto Scaling
Kubernetes autoscaling configuration view.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Operator workflows
From insight to safe scale
Whether you scale on CPU, memory, custom metrics, or external events, the same dashboard keeps workload owners and platform engineers aligned.
Create & govern
Define HPAs and VPAs with clear targets; wire KEDA to queues, metrics, or custom triggers, then review recommendations before they land in production.
Observe & correlate
Events and policies tie scaling decisions back to namespaces and workloads so audits and postmortems have a paper trail.
Capacity coupling
Cluster Autoscaler context sits beside pod autoscalers so node-level and workload-level scaling stay in sync.
Put scaling policy next to production reality
See Auto Scaling in Cloud Admin alongside workloads, metrics, and clusters in one console for enterprise Kubernetes.
Get a demoK8s & Containers · Helm
Helm Charts
The Kubernetes package manager in one place: browse catalogs and repositories, deploy popular charts, track releases and rollbacks, tune values and secrets, and monitor release health, and keep your place to the CLI.
Product walkthrough
See it in Cloud Admin
Screens from the live product, with a short note on when you would open each view.
Helm Charts
Helm charts management in Cloud Admin.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Release discipline
Charts are contracts, treat them that way
FusioNative keeps catalog discovery next to live release truth so upgrades, rollbacks, and audits share one narrative.
Discover with intent
Filter by category and version, read chart docs inline, and validate compatibility before you promote to prod.
Operate releases safely
See what failed, what upgraded, and what can roll back, and keep history when teams rotate.
Wire sources correctly
Blend public hubs with private registries so platform teams control supply chain without blocking developers.
Put Helm policy next to production reality
Run Helm Charts from Cloud Admin alongside clusters, workloads, and observability in one console.
Get a demoK8s & Containers · OLM
Operator Lifecycle Manager (OLM)
Discover and install Kubernetes operators from curated catalogs, manage installed releases and custom resources, wire Operator Hub and private sources, and track upgrades, rollbacks, and health, without losing track across clusters.
Product walkthrough
See it in Cloud Admin
Screens from the live product, with a short note on when you would open each view.
Operator Lifecycle Manager
OLM operators and subscriptions view.
- Same layout your operators see in production
- Click to zoom in
- Works alongside the rest of Cloud Admin
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Platform extensions
Operators are Day-2 infrastructure
Treat catalog, install, and CR lifecycle as day-2 operations, not afterthoughts for one cluster admin.
Standardize discovery
Community and private catalogs side by side so teams agree on what “approved” means.
Ship upgrades safely
Version paths and rollback signals stay visible while workloads keep running.
Observe operands
Instances and CR updates tie back to health and metrics. Fewer blind spots during change windows.
Put operator lifecycle next to production reality
Run OLM from Cloud Admin next to Helm, clusters, and workloads in one console for Kubernetes extensions.
Get a demo