Internal Developer Platform

Your developers are waiting.
Your platform team is drowning.


For engineering organisations ready to give every developer self-service access to standardised infrastructure โ€” without scaling the platform team to match.

The platform team is
everyone's bottleneck.

The more your engineering organisation grows, the worse the ratio gets โ€” and the harder it becomes to deliver anything else.

๐ŸŽซ

The queue never empties

Every developer request โ€” a new environment, a namespace, a database โ€” lands in the platform team's ticket queue. Every new hire makes it worse.

๐ŸŒ€

Standards drift the moment you look away

Without a catalog, every team builds their own patterns. Security policies applied inconsistently. Compliance gaps nobody notices until audit time.

๐Ÿ’ธ

Nobody knows what anything costs

Resources sprawl across teams and projects. No chargeback to business units. No visibility into what's running, what's idle, and who owns it.

More access or less access โ€”
neither works.

Without a platform layer, there's no good answer. You're choosing between two failure modes.

Too much access

Open cluster access

โœ—  Teams build inconsistent patterns

โœ—  Security policies bypass possible

โœ—  Resource sprawl, cost overruns

โœ—  No audit trail per team

โœ—  Compliance gaps at audit time

Too little access

Everything via ticket

โœ—  Platform team is the bottleneck

โœ—  Developers wait days for environments

โœ—  Platform team can't scale with demand

โœ—  Frustration on both sides

โœ—  Shadow IT fills the gap

The answer isn't adjusting the permission dial. It's adding a platform layer between the cluster and the developer.

A real developer platform
isn't a cluster. It's a layer above it.

Six capabilities separate a self-service developer platform from raw infrastructure access.

Self-service catalog

Pre-approved patterns โ€” dev environments, namespaces, databases โ€” that developers provision themselves without involving the platform team.

Team isolation

Team A cannot see or touch Team B's workloads, secrets, or data. Isolation by architecture โ€” not by cluster-admin permission management.

Guardrails by default

Policies, quotas, and RBAC enforced on every team workspace automatically. Compliance is built-in โ€” not a conversation you have after an audit finding.

Cost visibility

Usage and spend tracked per team, per project, per service. Chargeback to business units. No more mystery cloud bills โ€” internal or external.

Standardised services

Every team gets the same database, the same monitoring stack, the same networking defaults. Standards enforced through the catalog โ€” not through documentation people don't read.

Audit trail

Every action logged โ€” who provisioned what, when, and in which team workspace. Compliance-ready from day one, not retrofitted before the audit.

Cloud Orchestrator delivers
all six. Out of the box.

Built on the same architecture that powers multi-tenant commercial clouds โ€” applied to your internal platform.

What you need

How Cloud Orchestrator delivers it

Self-service catalog โ€” golden paths developers can provision themselves

Service catalog โ€” pre-approved environments, DBs, and namespaces, published by the platform team

Team isolation โ€” hard walls between workloads

Tenant workspaces via KCP โ€” isolated control planes per team, by architecture

Guardrails โ€” policies enforced automatically on every team

Policy-driven quotas and RBAC โ€” defined once, applied to every workspace on creation

Cost visibility โ€” chargeback per team and project

FinOps metering engine โ€” real-time usage and spend per workspace, exportable to any billing system

Audit trail โ€” who did what, when

Built-in audit log โ€” every action recorded per workspace, compliance-ready out of the box

What a developer
actually experiences.

No tickets. No waiting. No asking someone to provision something for them.

Today โ€” ticket-based

โ‘ 

Developer needs a dev environment

โ‘ก

Creates a ticket in the platform backlog

โ‘ข

Waits 1โ€“3 days for the platform team

โ‘ฃ

Gets access โ€” misconfigured half the time

With Cloud Orchestrator

โ‘ 

Developer logs into the internal platform portal

โ‘ก

Picks a service from the catalog โ€” dev env, DB, namespace

โ‘ข

Provisions it โ€” ready in under 2 minutes

โ‘ฃ

Platform team never involved. Policy already applied.

Five engineers.
Five hundred developers.

The platform team defines the platform once. Every developer self-serves from it. Headcount stays flat as engineering grows.

Platform team defines the catalog

Build a dev environment template once. Every developer across every team provisions from it โ€” with the same config, same security posture, same guardrails.

New team onboarded in minutes

Create a workspace. Policies applied automatically. Catalog available immediately. The platform team doesn't touch it โ€” the system handles it.

Platform team capacity shifts

From fielding provisioning tickets โ€” to building new platform capabilities. The ratio of builders to ticket-handlers inverts.

The shift

Before

1 platform engineer per 10โ€“20 developers. Bottleneck at every stage.

With Cloud Orchestrator

1 platform engineer per 100+ developers. Revenue from shipping product โ€” not from managing tickets.

This isn't a roadmap.
It's in production.

The same architecture that powers commercial multi-tenant clouds runs your internal developer platform.

โœ“

Battle-tested at scale

Stakater Cloud runs on this model since October 2024 โ€” multi-tenant, self-service, in production. The architecture handles real workloads, not demos.

โœ“

Red Hat Certified Multi-Tenant Operator

The tenancy layer is certified on the Red Hat Marketplace. Enterprise-supported, not something you maintain yourself.

โœ“

Runs on your OpenShift โ€” no new infrastructure

Deploys on top of your existing cluster. No new procurement, no separate IDP infrastructure. Add the platform layer to what you already have.

Stakater

Red Hat Premier Partner since 2018

โœ“ Red Hat Certified Multi-Tenant Operator

โœ“ Master Services Agreement โ€” Sweden

โœ“ Reloader โ€” 24B+ downloads, 9.9k GitHub stars

โœ“ Global team across 8 countries

From platform team bottleneck to developer self-service

On your existing OpenShift. Dev teams self-provisioning in 60 days.

1
Assess Week 1โ€“2

Architecture validated, scope locked

We

ยท Review your current stack

ยท Map tenant requirements

You

ยท Provide infra access

ยท Nominate platform lead

2
Foundation Week 3โ€“5

Cloud Orchestrator running, first tenant onboarded

We

ยท Deploy Cloud Orchestrator

ยท Configure tenancy model

You

ยท OpenShift cluster ready

ยท SSO credentials

3
Pilot Week 6โ€“8

10 tenants live, self-service working

We

ยท Build service catalog

ยท White-label the portal

You

ยท Select pilot tenants

ยท Validate billing output

4
Production Month 3

Full tenant base migrated, cutover complete

We

ยท Run-book delivered

ยท Team trained

You

ยท Cutover comms

ยท Support escalation path

5
Scale Month 4+

New services launched, metering live

We

ยท Quarterly reviews

ยท New catalog items

You

ยท Growth targets

ยท Feedback loops

Stop building the platform.
Start running it.


Self-service for developers. Guardrails for the platform team.
Cost visibility for the business. All on the OpenShift you already have.



stakater.com