README
¶

FabricOps is a Kubernetes operator for provisioning multi-organization Hyperledger Fabric networks from declarative configuration.
The long-term goal is automated Fabric infrastructure on Kubernetes: Terraform for cluster/cloud infrastructure, a custom operator for Fabric CAs, orderers, peers, channels, and Chaincode-as-a-Service, plus TLS certificate lifecycle management and Prometheus-based health visibility.
Requirements
- Go >= 1.23
- Kubebuilder >= 4.15.0
- Kubernetes cluster, such as OrbStack, kind, minikube, or EKS
- Hyperledger Fabric >= 2.5
Capabilities
FabricOps supports:
- A namespaced
FabricNetworkCRD atfabricops.io/v1alpha1 - Per-org Kubernetes namespaces with compact network-scoped names
- Fabric CA, orderer, peer, and CCaaS chaincode workloads
- Fabric CA registrar bootstrap, admin enrollment, and workload enrollment Secrets
- Fabric CA-backed MSP/TLS material for admins, orderers, and peers
- Persistent storage and resource defaults for Fabric workloads
- Declarative channel config generation, channel block generation, orderer joins, peer joins, and anchor peer updates
- CCaaS package metadata generation, install, approve, commit, and chaincode server workloads
- Kubernetes status conditions for component, identity, channel, chaincode, and observability readiness
- Fabric peer/orderer operations endpoints and optional Prometheus Operator
ServiceMonitorresources - Optional org-boundary NetworkPolicies for FabricOps-managed pods
- Finalizer-based cleanup for generated org namespaces
See SUPPORTED_FEATURES.md for the detailed compatibility matrix.
Namespace Layout
Org namespaces use this convention:
fo-<network>-<org>
For example, the sample FabricNetwork named fabricnetwork-sample creates:
fo-sample-orderer
fo-sample-banka
If the FabricNetwork lives outside the default namespace, the control namespace is included to avoid cluster-wide namespace collisions:
fo-<control-namespace>-<network>-<org>
Local Development
Install the CRD, run the controller locally, and apply the sample network:
make install
make run
kubectl apply -k config/samples
In another terminal, inspect the reconciled network:
kubectl get fabricnetwork fabricnetwork-sample -n default
kubectl get pods -n fo-sample-orderer
kubectl get pods -n fo-sample-banka
In-Cluster Install
Build the manager image, render the install bundle, deploy the operator, and apply the sample network:
make docker-build IMG=controller:latest
make build-installer IMG=controller:latest
kubectl apply -f dist/install.yaml
kubectl apply -k config/samples
The generated manager Deployment uses imagePullPolicy: IfNotPresent so local development clusters such as OrbStack can use the locally built controller:latest image. For kind, load the image into the target cluster before applying the bundle:
kind load docker-image controller:latest --name <cluster-name>
Inspect the installed manager and sample:
kubectl get deploy -n fabricops-system fabricops-controller-manager
kubectl get fabricnetwork fabricnetwork-sample -n default
kubectl get pods -n fo-sample-orderer
kubectl get pods -n fo-sample-banka
For a clean kind-cluster demo:
kind create cluster --name fabricops-packaging
kind load docker-image controller:latest --name fabricops-packaging
kubectl apply -f dist/install.yaml
kubectl rollout status deployment/fabricops-controller-manager -n fabricops-system --timeout=120s
kubectl apply -k config/samples
kubectl wait fabricnetwork/fabricnetwork-sample -n default --for=condition=Ready --timeout=20m
config/samples/chaincodes/node_settlement/invoke_smoke.sh
Helm Install
FabricOps also ships a generated Helm chart at dist/chart:
make docker-build IMG=controller:latest
kind load docker-image controller:latest --name <cluster-name>
make helm-deploy IMG=controller:latest
make helm-status
kubectl apply -k config/samples
kubectl wait fabricnetwork/fabricnetwork-sample -n default --for=condition=Ready --timeout=20m
By default, the chart installs CRDs, RBAC, the manager Deployment, and the metrics Service into fabricops-system. The chart defaults to ghcr.io/dpereowei/fabricops:<chart-appVersion>. Local development can still override the image with make helm-deploy IMG=controller:latest. Override release settings with HELM_RELEASE, HELM_NAMESPACE, HELM_CHART_DIR, and HELM_EXTRA_ARGS.
Manager Images
Local development uses controller:latest so OrbStack and kind can run the manager image without a registry. Published manager images should use immutable SemVer tags at:
ghcr.io/dpereowei/fabricops:<version>
For example:
make docker-buildx-release VERSION=0.1.0
make build-installer-release VERSION=0.1.0
docker-buildx-release publishes the manager image for all configured PLATFORMS. For local single-platform sanity checks, use docker-build-release and docker-push-release.
Use that same tag for Helm installs:
make helm-deploy-release VERSION=0.1.0
The release helpers derive RELEASE_IMG from IMAGE_REGISTRY, IMAGE_REPOSITORY, and VERSION. Override those variables if the image moves to another registry or repository.
Before publishing release instructions, verify that the manager image and sample chaincode images are publicly pullable from GHCR:
make release-check-ghcr VERSION=0.1.0
See docs/first-release-checklist.md for the full release checklist.
After a release tag is published, install the bundle directly with:
kubectl apply -f https://raw.githubusercontent.com/dpereowei/fabricops/v0.1.0/dist/install.yaml
Terraform Examples
Local development infrastructure examples live under examples/terraform. The first example provisions a single-node kind cluster for FabricOps demos:
make docker-build IMG=controller:latest
cd examples/terraform/local-kind
terraform init
terraform apply
E2E Validation
Run the repeatable kind-based e2e proof with:
make test-e2e
The e2e target builds the local manager image, loads it into kind, installs the generated bundle, applies the sample network, waits for Ready=True, and runs the Node settlement invoke smoke. See docs/e2e-validation.md for kind, OrbStack, and cleanup notes.
Identity Secrets
FabricOps uses Fabric CA enrollment as the identity material path. The deterministic Secret contract is:
<org>-ca-bootstrap: username, password, user-pass
<org>-admin-enrollment: username, password, user-pass
<workload>-enrollment: username, password, user-pass
<workload>-msp: config.yaml, cacert.pem, tlscacert.pem, signcert.pem, keystore.pem
<workload>-tls: ca.crt, server.crt, server.key
<org>-admin-msp: config.yaml, cacert.pem, tlscacert.pem, signcert.pem, keystore.pem
<org>-admin-tls: ca.crt, client.crt, client.key
Fabric CA pods receive <org>-ca-bootstrap/user-pass through FABRIC_CA_SERVER_BOOTSTRAP_USER_PASS. Admin enrollment Jobs use <org>-admin-enrollment to register and enroll the org admin identity, then publish enrolled MSP/TLS material to <org>-admin-msp and <org>-admin-tls. Workload enrollment Jobs use <workload>-enrollment to register and enroll orderer and peer identities, then publish enrolled material to <workload>-msp and <workload>-tls.
Orderers mount identity Secrets at /var/hyperledger/orderer/msp and /var/hyperledger/orderer/tls. Peers mount them at /etc/hyperledger/fabric/peer/msp and /etc/hyperledger/fabric/peer/tls.
Storage
Persistent data is configured through spec.global.storage.ca, spec.global.storage.orderer, and spec.global.storage.peer. Each component accepts a size and optional storageClassName.
Default sizes are:
- CA:
1Gi - Orderer:
5Gi - Peer:
10Gi
CA pods mount persistent data at /etc/hyperledger/fabric-ca-server. Orderer and peer pods mount persistent data at /var/hyperledger/production.
Fabric component instances run as singleton Deployments with Recreate rollout strategy and one PVC per instance.
Observability
Peer and orderer workloads expose Fabric operations endpoints through separate *-operations Services. Prometheus metrics are enabled on those operations endpoints.
Prometheus Operator ServiceMonitor output is opt-in:
spec:
global:
observability:
serviceMonitor:
enabled: true
interval: 30s
scrapeTimeout: 10s
labels:
release: prometheus
The monitoring.coreos.com/v1 ServiceMonitor CRD must already be installed before enabling ServiceMonitor output.
Network Policy
Org-boundary NetworkPolicies are opt-in:
spec:
global:
networkPolicy:
enabled: true
When enabled, FabricOps creates one fabricops-org-boundary NetworkPolicy per generated org namespace. The policy selects FabricOps-managed pods for that org, allows ingress and egress among pods in namespaces that belong to the same FabricNetwork, and keeps DNS plus Kubernetes API egress open for helper Jobs. When disabled, FabricOps removes its owned fabricops-org-boundary policies and leaves unowned same-name policies untouched.
Your cluster CNI must support Kubernetes NetworkPolicy enforcement. If Prometheus or other operational tools run outside the generated Fabric namespaces, add a separate allow policy for those clients.
Cleanup
FabricOps adds a finalizer to each FabricNetwork. When a FabricNetwork is deleted, the controller deletes generated org namespaces after confirming their FabricOps ownership labels.
Example Resource
apiVersion: fabricops.io/v1alpha1
kind: FabricNetwork
metadata:
name: fabricnetwork-sample
spec:
global:
fabricVersion: "3.1.0"
tls: true
networkPolicy:
enabled: false
storage:
ca:
size: 1Gi
orderer:
size: 5Gi
peer:
size: 10Gi
orgs:
- organization:
name: Orderer
domain: orderer.example.com
mspName: OrdererMSP
ca:
db: sqlite
orderers:
- groupName: group1
type: raft
instances: 2
prefix: orderer
- organization:
name: BankA
domain: banka.example.com
mspName: BankAMSP
ca:
db: sqlite
peer:
instances: 2
db: LevelDB
prefix: peer
channels:
- name: settlement
orgs:
- name: BankA
peers: ["peer0", "peer1"]
chaincodes:
- name: settlement
version: "0.0.1"
channel: settlement
image: ghcr.io/dpereowei/fabricops-node-settlement:0.1.0
sequence: 1
ccaas:
replicas: 1
containerPort: 7052
servicePort: 7052
dialTimeout: 10s
imagePullPolicy: IfNotPresent
References
FabricOps uses hyperledger-labs/fablo as an implementation reference for Fabric network bootstrapping behavior, especially around generated config, Docker Compose topology, CA enrollment flow, peer/orderer configuration, and CCaaS support.
License
This project is licensed under the Apache License 2.0. See the LICENSE file for details.