Markus Schweig

Platform Engineering

Oct 22, 2025

Oct 22, 2025

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Converting Monolithic Crossplane Providers to Family Scoped Providers With Claude

Converting Monolithic Crossplane Providers to Family Scoped Providers With Claude

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Converting Monolithic Crossplane Providers to Family Scoped Providers With Claude

Converting Monolithic Crossplane Providers to Family Scoped Providers With Claude

Learn how we transformed a monolithic Crossplane provider with 166 resources across 19 service groups into modular, family-scoped providers in hours using Anthropic’s Claude. This guide covers the challenges of monolithic providers, the benefits of family-scoped architecture, and a step-by-step look at how AI-assisted development accelerated the conversion, unlocking efficiency, scalability, and simpler cloud infrastructure management.

The Challenge: Monolithic Provider Limitations

Managing cloud infrastructure at scale with Crossplane often means working with massive providers that bundle hundreds of services into a single deployment. While convenient, this monolithic approach creates several pain points:

  • Memory Overhead: Loading hundreds of Custom Resource Definitions (CRDs) even when you only need a subset of those resources

  • Resource Isolation: No ability to selectively deploy only the services you need

  • Operational Overhead: Managing permissions and dependencies for unused services


The Alibaba Cloud provider exemplified this challenge with 166 resources spanning 19 distinct service groups from Container Services for Kubernetes (ACK) to Object Storage (OSS) to Virtual Private Cloud (VPC). Teams using only VPC resources still had to deploy and manage the entire provider ecosystem. The conversion paves the way for sanely offering all of its 1,000+ eventual resources through smaller scoped family providers in alignment with other major Crossplane providers for AWS, Azure and GCP.

The Solution: Family-Scoped Provider Architecture

Family-scoped providers offer a revolutionary approach:

  • Selective Deployment: Deploy only the providers you need, e.g., provider-alibabacloud-vpc, and provider-alibabacloud-oss

  • Memory Efficiency: Load only relevant CRDs, e.g., 10 CRDs vs 166 CRDs

  • Operational Simplicity: Update for instance VPC provider code independently of ECS provider

  • Comprehensive Testing: Maintain monolithic provider for full easy CI/CD pipeline integration testing

But converting an existing monolithic provider seemed daunting until we applied the power of AI-assisted development.

Enter Claude: AI-Powered Provider Conversion

What traditionally takes days of careful refactoring, we accomplished in hours using Anthropic’s Claude Code as our development partner. That said, the journey was at times quite humbling and there were learnings about the limitations when prompting an LLM to assist with the effort. Here's the step-by-step journey:

Step 0: We Trained Claude With Examples

We started by showing Claude providers that were converted by humans. They included:

  • crossplane-contrib/provider-upjet-aws

  • crossplace-contrib/provider-upjet-gcp

  • upbound/provider-upject-oci

We also showed Claude providers that were still monolithic, such as:

  • crossplane-contrib/provider-upjet-alibabacloud (prior to its conversion)

  • upbound/provider-datadog

Step 1: Assessment and Planning

We analyzed the existing provider structure:

# Discover the current provider architecture
find internal/controller -type d -maxdepth 1 | grep -v "^internal/controller$"

Claude quickly identified all 19 service groups:

  • ack (Container Service) - 8 resources

  • ecs (Elastic Compute) - 38 resources

  • oss (Object Storage) - 25 resources

  • vpc (Virtual Private Cloud) - 3 resources

  • And 15 more service groups…

Claude's insight: Start with a proof of concept using 4 core services (ECS, VPC, OSS, RAM) to validate the architecture before implementing all 19 groups.

Step 2: Proof of Concept: Service Group Mapping

Claude helped to create the foundation, a comprehensive resource mapping system derived from provider-upjet-aws:

package config

import (
        "strings"

        "github.com/crossplane/upjet/pkg/config"
        "github.com/crossplane/upjet/pkg/types/name"
)

// GroupKindCalculator returns the correct group and kind name for given TF resource.
type GroupKindCalculator func(resource string) (string, string)

// ReplaceGroupWords uses given group as the group of the resource and removes
// a number of words in resource name before calculating the kind of the resource.
func ReplaceGroupWords(group string, count int) GroupKindCalculator {
        return func(resource string) (string, string) {
                // "alicloud_instance": "ecs" -> (ecs, Instance)
                words := strings.Split(strings.TrimPrefix(resource, "alicloud_"), "_")
                snakeKind := strings.Join(words[count:], "_")
                return group, name.NewFromSnake(snakeKind).Camel
        }
}

// GroupMap contains all overrides we'd like to make to the default group search.
// This maps Terraform resources to their appropriate Crossplane API groups.
// Based on the Alibaba Cloud service grouping for all 19 resource groups.
var GroupMap = map[string]GroupKindCalculator{

... removed resource groups for brevity showcasing the concept

        // CDN - Content Delivery Network resources
        "alicloud_cdn_domain_config": ReplaceGroupWords("cdn", 1),
        "alicloud_cdn_domain_new":    ReplaceGroupWords("cdn", 1),
        "alicloud_cdn_fc_trigger":    ReplaceGroupWords("cdn", 1),


        // VPC - Virtual Private Cloud resources
        "alicloud_route_table": ReplaceGroupWords("vpc", 0),
        "alicloud_vpc":         ReplaceGroupWords("vpc", 0),
        "alicloud_vswitch":     ReplaceGroupWords("vpc", 0),
}

// GroupKindOverrides overrides the group and kind of the resource if it matches
// any entry in the GroupMap.
func GroupKindOverrides() config.ResourceOption {
        return func(r *config.Resource) {
                if f, ok := GroupMap[r.Name]; ok {
                        r.ShortGroup, r.Kind = f(r.Name

This mapping tells the generator which Terraform resources belong to which Crossplane service group - the foundation of family providers.

Step 3: Controller Setup Functions

Claude used Crossplane’s Upjet to generate service-specific controller setup functions after initially creating those itself until it was informed to use the code generation framework instead:

// internal/controller/zz_vpc_setup.go

package controller

import (
    ctrl "sigs.k8s.io/controller-runtime"

    "github.com/crossplane/upjet/pkg/controller"

    routetable "github.com/crossplane-contrib/provider-alibabacloud/internal/controller/vpc/routetable"
    vpc "github.com/crossplane-contrib/provider-alibabacloud/internal/controller/vpc/vpc"
    vswitch "github.com/crossplane-contrib/provider-alibabacloud/internal/controller/vpc/vswitch"
)

// Setup_vpc creates all controllers with the supplied logger and adds them to
// the supplied manager.
func Setup_vpc(mgr ctrl.Manager, o controller.Options) error {
    for _, setup := range []func(ctrl.Manager, controller.Options) error{
        routetable.Setup,
        vpc.Setup,
        vswitch.Setup,
    } {
        if err := setup(mgr, o); err != nil {
            return err
        }
    }
    return nil

Each family provider gets its own isolated setup function, enabling selective controller loading.

Step 4: Template-Based Package Generation

The breakthrough was a template system for generating provider metadata that was derived from how provider-upjet-aws implements it: 

apiVersion: meta.pkg.crossplane.io/v1
kind: Provider
metadata:
  name: {{ .Name }}
{{ if ne .Service "monolith" }}
  labels:
    pkg.crossplane.io/provider-family: provider-family-{{ .ProviderName }}
{{ end }}
  annotations:
    meta.crossplane.io/maintainer: Crossplane Contributors <info@crossplane.io>
    meta.crossplane.io/source: github.com/crossplane-contrib/provider-upjet-{{ .ProviderName }}
    meta.crossplane.io/description: |
      Crossplane provider for Alibaba Cloud {{ .Service }} services.
      {{ if eq .Service "monolith" }}
      This is the monolithic package containing all Alibaba Cloud services.
      {{ else if eq .Service "config" }}
      This is the base family provider configuration package.
      {{ else }}
      This package contains resources for the {{ .Service }} service group.
      {{ end }}
    friendly-name.meta.crossplane.io: Provider Alibaba Cloud ({{ .Service }})
spec:
  crossplane:
    version: ">=v1.19.0-0"
{{ if and (ne .Service "config") (ne .Service "monolith") }}
  dependsOn:
    - provider: {{ .XpkgRegOrg }}/provider-family-{{ .ProviderName }}
      version: "{{ .DepConstraint }}"

This single template generates metadata for both monolithic and family providers, ensuring consistency.

Step 5: Build System Integration

Claude updated the Makefile to support family provider builds. This took a couple of iterations, because different examples it examined handled this differently, and the amount of example code it looked at easily exhausted its context window when not pointed at specific minimal reference files:
 

# Family provider build targets
build-provider.%:
        @$(MAKE) build SUBPACKAGES="$$(tr ',' ' ' <<< $*)" LOAD_PACKAGES=true

# Family provider local deployment targets
local-deploy.%: controlplane.up
        @for api in $$(tr ',' ' ' <<< $*); do \
                $(MAKE) local.xpkg.deploy.provider.$(PROJECT_NAME)-$${api}; \
                $(INFO) running locally built $(PROJECT_NAME)-$${api}; \
                $(KUBECTL) wait provider.pkg $(PROJECT_NAME)-$${api} --for condition=Healthy --timeout 5m; \
                $(KUBECTL) -n upbound-system wait --for=condition=Available deployment --all --timeout=5m; \
                $(OK) running locally built $(PROJECT_NAME)-$${api}; \
        done || $(FAIL)

Now teams can build individual providers: make build-provider.vpc creates just the VPC provider!

Step 6: Validation Through End-to-End Testing

The proof of concept validation was crucial:

# Test the VPC family provider
make

Result: ✅ SUCCESS!


The VPC family provider successfully provisioned real infrastructure, validating the entire architecture. During the test phase, Claude eagerly started tests without regard that it had not received Cloud Provider account credentials. It is advised to let Claude operate in a controlled environment.

Scaling Success: Implementing All 19 Service Groups

With the proof of concept validated, Claude helped scale to all service groups that existed in the monolithic provider implementation in rapid succession:

Expanding Resource Mappings

// Adding comprehensive mappings for all 19 groups
var GroupMap = map[string]GroupKindCalculator{
    // ACK - Container Service for Kubernetes
    "alicloud_cs_autoscaling_config":             ReplaceGroupWords("ack", 1),
    "alicloud_cs_managed_kubernetes":             ReplaceGroupWords("ack", 1),

    // ALB - Application Load Balancer
    "alicloud_alb_acl":                           ReplaceGroupWords("alb", 1),
    "alicloud_alb_listener":                      ReplaceGroupWords("alb", 1),

    ... and 162+ more resource mappings...

Generating Setup Functions for All Services

Upjet was used to systematically create setup functions for each service group:

// internal/controller/zz_oss_setup.go


... removed content for brevity showcasing the concept

// Setup_oss creates all controllers with the supplied logger and adds them to
// the supplied manager.
func Setup_oss(mgr ctrl.Manager, o controller.Options) error {
        for _, setup := range []func(ctrl.Manager, controller.Options) error{
                accesspoint.Setup,
                accountpublicaccessblock.Setup,
                bucket.Setup,
                bucketaccessmonitor.Setup,
                bucketacl.Setup,
                bucketcname.Setup,
                bucketcnametoken.Setup,
                bucketcors.Setup,
                bucketdataredundancytransition.Setup,
                buckethttpsconfig.Setup,
                bucketlogging.Setup,
                bucketmetaquery.Setup,
                bucketobject.Setup,
                bucketpolicy.Setup,
                bucketpublicaccessblock.Setup,
                bucketreferer.Setup,
                bucketreplication.Setup,
                bucketrequestpayment.Setup,
                bucketserversideencryption.Setup,
                bucketstyle.Setup,
                buckettransferacceleration.Setup,
                bucketuserdefinedlogfields.Setup,
                bucketversioning.Setup,
                bucketwebsite.Setup,
                bucketworm.Setup,
        } {
                if err := setup(mgr, o); err != nil {
                        return err
                }
        }
        return nil

Main Binary Generation

The final piece, creating service-specific main binaries. Check out cmd/provider/oss/zz_main.go that was generated from a template. Each family provider gets its own binary with isolated controller loading.

Published Family Providers

The conversion resulted in 19 published family providers available on the Upbound Marketplace:

Marketplace Publishing With GitHub Actions

The family provider architecture integrates seamlessly with automated publishing to the Upbound Marketplace through GitHub Actions.

CI/CD Pipeline Configuration

The final piece, creating service-specific main binaries. Check the workflow file in the repository for detail.

... removed content for brevity showcasing the concept

  publish-artifacts:
    runs-on: ubuntu-24.04
    needs:
      - detect-noop
      - report-breaking-changes
      - lint
      - check-diff
      - unit-tests
      - local-deploy
    if: needs.detect-noop.outputs.noop != 'true'

    steps:
      - name: Setup QEMU
        uses: docker/setup-qemu-action@49b3bc8e6bdd4a60e6116a5414239cba5943d3cf # v3
        with:
          platforms: all

      - name: Setup Docker Buildx
        uses: docker/setup-buildx-action@v3
        with:
          version: ${{ env.DOCKER_BUILDX_VERSION }}
          install: true

      - name: Login to Upbound
        uses: docker/login-action@v3
        if: env.UPBOUND_MARKETPLACE_PUSH_ROBOT_USR != ''
        with:
          registry: xpkg.upbound.io
          username: ${{ secrets.UPBOUND_MARKETPLACE_PUSH_ROBOT_USR }}
          password: ${{ secrets.UPBOUND_MARKETPLACE_PUSH_ROBOT_PSW }}

      - name: Checkout
        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4
        with:
          submodules: true

      - name: Fetch History
        run: git fetch --prune --unshallow

      - name: Setup Go
        uses: actions/setup-go@0a12ed9d6a96ab950c8f026ed9f722fe0da7ef32 # v5
        with:
          go-version: ${{ env.GO_VERSION }}

      - name: Find the Go Build Cache
        id: go
        run: echo "cache=$(make go.cachedir)" >> $GITHUB_OUTPUT

      - name: Cache the Go Build Cache
        uses: actions/cache@v4
        with:
          path: ${{ steps.go.outputs.cache }}
          key: ${{ runner.os }}-build-publish-artifacts-${{ hashFiles('**/go.sum') }}
          restore-keys: ${{ runner.os }}-build-publish-artifacts-

      - name: Cache Go Dependencies
        uses: actions/cache@v4
        with:
          path: .work/pkg
          key: ${{ runner.os }}-pkg-${{ hashFiles('**/go.sum') }}
          restore-keys: ${{ runner.os }}-pkg-

      - name: Vendor Dependencies
        run: make vendor vendor.check

      - name: Build Artifacts
        run: make -j2 build.all
        env:
          # We're using docker buildx, which doesn't actually load the images it
          # builds by default. Specifying --load does so.
          BUILD_ARGS: "--load"

      - name: Upload Artifacts to GitHub
        uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874 # v4
        with:
          name: output
          path: _output/**

Automated Family Provider Setup

The build system automatically generates and publishes all family providers using the hack/setup-family-providers.sh script:

#!/bin/bash

# setup-family-providers.sh - Dynamically create provider-specific image directories and Dockerfiles
# This script creates the necessary image directories for each provider family

set -e

ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
BASE_IMAGE_DIR="$ROOT_DIR/cluster/images/provider-upjet-alibabacloud"
IMAGES_DIR="$ROOT_DIR/cluster/images"

# Get the provider families from SUBPACKAGES environment variable, fallback to all if not set
FAMILY_PROVIDERS="${SUBPACKAGES:-ack ackone alb alidns cdn cloudmonitorservice ecs kms messageservice oss polardb privatelink quotas ram tair vpc config}"

echo "Setting up family provider image directories for: $FAMILY_PROVIDERS"

# Create image directories for each family provider
for provider in $FAMILY_PROVIDERS; do

    provider_image_dir="$IMAGES_DIR/provider-upjet-alibabacloud-$provider"
    echo "Creating image directory for $provider: $provider_image_dir"

    # Create the directory
    mkdir -p "$provider_image_dir"

    # Copy the base Makefile
    cp "$BASE_IMAGE_DIR/Makefile" "$provider_image_dir/"

    # Copy the terraformrc.hcl
    cp "$BASE_IMAGE_DIR/terraformrc.hcl" "$provider_image_dir/"

    # Create provider-specific Dockerfile
    cat > "$provider_image_dir/Dockerfile" << EOF
FROM alpine:3.20.3
RUN apk --no-cache add ca-certificates bash

ARG TARGETOS
ARG TARGETARCH

ADD "bin/\${TARGETOS}_\${TARGETARCH}/$provider" /usr/local/bin/provider

ENV USER_ID=65532

# Setup Terraform environment

## Provider-dependent configuration
ARG TERRAFORM_VERSION
ARG TERRAFORM_PROVIDER_SOURCE
ARG TERRAFORM_PROVIDER_VERSION
ARG TERRAFORM_PROVIDER_DOWNLOAD_NAME
ARG TERRAFORM_NATIVE_PROVIDER_BINARY
ARG TERRAFORM_PROVIDER_DOWNLOAD_URL_PREFIX

## End of - Provider-dependent configuration

ENV PLUGIN_DIR=/terraform/provider-mirror/registry.terraform.io/\${TERRAFORM_PROVIDER_SOURCE}/\${TERRAFORM_PROVIDER_VERSION}/\${TARGETOS}_\${TARGETARCH}
ENV TF_CLI_CONFIG_FILE=/terraform/.terraformrc
ENV TF_FORK=0

RUN mkdir -p \${PLUGIN_DIR}

ADD https://releases.hashicorp.com/terraform/\${TERRAFORM_VERSION}/terraform_\${TERRAFORM_VERSION}_\${TARGETOS}_\${TARGETARCH}.zip /tmp
ADD \${TERRAFORM_PROVIDER_DOWNLOAD_URL_PREFIX}/\${TERRAFORM_PROVIDER_DOWNLOAD_NAME}_\${TERRAFORM_PROVIDER_VERSION}_\${TARGETOS}_\${TARGETARCH}.zip /tmp
ADD terraformrc.hcl \${TF_CLI_CONFIG_FILE}

RUN unzip /tmp/terraform_\${TERRAFORM_VERSION}_\${TARGETOS}_\${TARGETARCH}.zip -d /usr/local/bin \\
  && chmod +x /usr/local/bin/terraform \\
  && rm /tmp/terraform_\${TERRAFORM_VERSION}_\${TARGETOS}_\${TARGETARCH}.zip \\
  && unzip /tmp/\${TERRAFORM_PROVIDER_DOWNLOAD_NAME}_\${TERRAFORM_PROVIDER_VERSION}_\${TARGETOS}_\${TARGETARCH}.zip -d \${PLUGIN_DIR} \\
  && chmod +x \${PLUGIN_DIR}/* \\
  && rm /tmp/\${TERRAFORM_PROVIDER_DOWNLOAD_NAME}_\${TERRAFORM_PROVIDER_VERSION}_\${TARGETOS}_\${TARGETARCH}.zip \\
  && chown -R \${USER_ID}:\${USER_ID} /terraform
# End of - Setup Terraform environment

# Provider controller needs these environment variable at runtime
ENV TERRAFORM_VERSION=\${TERRAFORM_VERSION}
ENV TERRAFORM_PROVIDER_SOURCE=\${TERRAFORM_PROVIDER_SOURCE}
ENV TERRAFORM_PROVIDER_VERSION=\${TERRAFORM_PROVIDER_VERSION}
ENV TERRAFORM_NATIVE_PROVIDER_PATH=\${PLUGIN_DIR}/\${TERRAFORM_NATIVE_PROVIDER_BINARY}

USER \${USER_ID}
EXPOSE 8080

ENTRYPOINT ["provider"]
EOF

    echo "Created Dockerfile for $provider"
done

echo "Family provider image directories setup complete!"
echo "Created image directories for: $FAMILY_PROVIDERS"

Marketplace Registry Configuration

Building and pushing smaller scoped family providers is accomplished through the cluster/images/provider-alibabacloud/Makefile.

When changes are pushed to the main branch, the CI pipeline: 

  1. Builds all family providers** using the dynamic setup scripts

  2. Creates Docker images** for each family provider with minimal Alpine base

  3. Publishes to Upbound Marketplace** at xpkg.upbound.io/crossplane-contrib/provider-upjet-alibabacloud-*

  4. Validates deployments** through automated testing

This automated publishing ensures all 19 family providers are consistently available to the Crossplane community with each release.

Validation and Quality Assurance

End-to-end testing proved the architecture's robustness:

# Test individual family providers
make e2e-provider.vpc   # ✅ VPC resources provision successfully
make e2e-provider.oss   # ✅ OSS buckets create successfully
make e2e-provider.ecs   # ✅ ECS instances launch successfully

# Test monolithic provider (all services)
make e2e-monolith      # ✅ Full integration testing passes

# Build all family providers
make build-family      # ✅ All 19 providers compile successfully

Readiness Checklist:

  • ✅ All 19 family providers build successfully

  • ✅ Monolithic provider can still be used for full local tests

  • ✅ End-to-end tests validate real infrastructure provisioning

  • ✅ Memory usage reduces from 166+ CRDs to service-specific subsets

  • ✅ Template system ensures consistent package generation

Key Implementation Patterns

1. Resource Group Mapping Strategy

// Pattern: Service prefix determines group
"alicloud_vpc":           ReplaceGroupWords("vpc", 0),    // vpc group
"alicloud_oss_bucket":    ReplaceGroupWords("oss", 1),    // oss group
"alicloud_cs_kubernetes": ReplaceGroupWords("ack", 1

2. Controller Isolation Pattern

// Each service gets isolated setup function
func Setup_vpc(mgr ctrl.Manager, o controller.Options) error
func Setup_oss(mgr ctrl.Manager, o controller.Options) error
func Setup_ack(mgr ctrl.Manager, o controller.Options) error

3. Template-Driven Generation

# Single template supports both architectures
{{ if ne .Service "monolith" }}
  # Family provider specific configuration
{{ else }}
  # Monolithic provider configuration

4. Build System Flexibility

# Support multiple deployment patterns
make build-provider.vpc              # Single service
make build-provider.vpc,oss,ecs      # Multiple services
make build-family                    # All family providers
make build                           # Monolithic provider

AI-Assisted Development Tips

Human + AI Partnership:

  1. Claude: Pattern recognition, code generation, systematic implementation

  2. Human: Architecture decisions, validation testing, business requirements

Approach

  1. Proof of Concept Approach: Validate core concepts before full implementation

  2. Systematic Implementation: Let AI handle repetitive tasks while humans focus on strategy

  3. Continuous Validation: Test early and often to catch issues immediately


The future of infrastructure management is modular, efficient, and AI-accelerated. Family-scoped providers are just the beginning.

Ready to modernize your Crossplane providers? Start with a proof of concept using Claude or your favorite LLM as your development partner. The velocity gains will transform how you think about infrastructure code.
 

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Markus Schweig

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This should be crafted with love by our globally distributed team.

Upbound is an active contributor to Crossplane and the Cloud Native Computing Foundation

The Platform Cloud™

This should be crafted with love by our globally distributed team.

Upbound is an active contributor to Crossplane and the Cloud Native Computing Foundation