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Fillout day2 section
Signed-off-by: Jian Qiu <[email protected]>
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qiujian16 committed Sep 3, 2025
commit f44f5b0704a868f5669704f1928b709a8c200236
94 changes: 85 additions & 9 deletions cncf/GTR.md
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* Describe how this project integrates with other projects in a production environment.

Some integration examples includes:
- [ArgoCD](https://github.com/open-cluster-management-io/addon-contrib/tree/main/argocd-agent-addon): OCM integrates
ArgoCD by deploying an agent addon to managed clusters, enabling automated GitOps-based application synchronization and management.
- [Argo CD](https://argo-cd.readthedocs.io/en/stable/operator-manual/applicationset/Generators-Cluster-Decision-Resource/#how-it-works):
OCM supplies Argo CD with ClusterDecision resources via Argo CD’s Cluster Decision Resource Generator, enabling it to
select target clusters for GitOps deployments.
- [Argo CD Agent](https://argocd-agent.readthedocs.io/latest/getting-started/ocm-io/): OCM deploys and manages Argo CD
Agents in spoke clusters, enabling secure GitOps operations and lifecycle management across the fleet.
- [Kueue](https://github.com/open-cluster-management-io/addon-contrib/tree/main/kueue-addon): OCM integrates Kueue by installing
a scheduler addon on managed clusters, providing unified batch workload scheduling and resource management across clusters.
- [Fluid](https://github.com/open-cluster-management-io/addon-contrib/tree/main/fluid-addon): OCM integrates Fluid by deploying
Expand Down Expand Up @@ -465,6 +468,12 @@ Self-assessment: https://github.com/open-cluster-management-io/ocm/blob/main/SEL

* Describe any operations that will increase in time covered by existing SLIs/SLOs.

Operations that increase SLI/SLO time coverage include:
- Adding more managed clusters, which increases the time to collect status from all clusters
- Deploying large ManifestWorks with many resources, extending application deployment times
- Running addon operations across many clusters simultaneously, affecting addon availability metrics
- Certificate rotation operations across the fleet, temporarily impacting cluster connectivity SLIs

* Describe the increase in resource usage in any components as a result of enabling this project, to include CPU, Memory, Storage, Throughput.

The resource usage increases when then number of managed cluster increases.
Expand All @@ -483,12 +492,24 @@ Self-assessment: https://github.com/open-cluster-management-io/ocm/blob/main/SEL
OCM developed a performance testing tools https://github.com/open-cluster-management-io/multicluster-controlplane/tree/main/test/performance.

* Describe the recommended limits of users, requests, system resources, etc. and how they were obtained.

TBD

Based on performance testing and community feedback, recommended limits include:
- Maximum 3000 managed clusters per hub cluster (based on performance testing results)
- Maximum 100 ManifestWorks per managed cluster to avoid resource exhaustion
- Hub cluster minimum requirements: 4 CPU cores, 8GB RAM for production workloads
- Network bandwidth: 10Mbps minimum per 100 managed clusters for status reporting
These limits were obtained through the performance testing framework and real-world production deployments by adopters.

* Describe which resilience pattern the project uses and how, including the circuit breaker pattern.

TBD
OCM implements several resilience patterns:
- **Leader Election**: Hub controllers use leader election to ensure high availability and prevent split-brain scenarios
- **Retry with Exponential Backoff**: Failed operations are retried with increasing delays to handle transient failures
- **Graceful Degradation**: When hub cluster is unreachable, managed clusters continue running existing workloads
- **Health Checks and Heartbeating**: Klusterlet agents regularly report health status and automatically reconnect on failures
- **Certificate Auto-Rotation**: Automatic certificate renewal prevents authentication failures
- **Pull-based Architecture**: Eliminates dependency on hub-to-spoke connectivity, improving resilience to network partitions


### Observability Requirements

Expand All @@ -505,6 +526,13 @@ Self-assessment: https://github.com/open-cluster-management-io/ocm/blob/main/SEL
OCM has an experiment dashboard here: https://github.com/open-cluster-management-io/lab/tree/main/dashboard

* Describe how the project surfaces project resource requirements for adopters to monitor cloud and infrastructure costs, e.g. FinOps

OCM provides resource visibility through:
- Prometheus metrics for hub and spoke cluster resource consumption (CPU, memory, storage)
- ManagedCluster status includes resource capacity and utilization information
- Addon resource usage is tracked via addon status and metrics
- Integration with cluster monitoring stacks to provide cost attribution per managed cluster

* Which parameters is the project covering to ensure the health of the application/service and its workloads?

OCM is using operator to deploy service, and the operator also monitor the healthiness of the service. The status of
Expand All @@ -524,7 +552,12 @@ Self-assessment: https://github.com/open-cluster-management-io/ocm/blob/main/SEL

* Describe the SLOs (Service Level Objectives) for this project.

TBD
OCM defines the following SLOs:
- **Cluster Availability**: 99.9% of managed clusters should be in "Available" status during business hours
- **ManifestWork Success Rate**: 99.5% of ManifestWork deployments should succeed within 5 minutes
- **Addon Availability**: 99% of enabled addons should be in "Available" status across all managed clusters
- **Certificate Rotation**: 100% of certificate rotations should complete successfully before expiration
- **Hub Recovery Time**: Hub cluster recovery should complete within 30 minutes in disaster scenarios

* What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service?

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### Dependencies

* Describe the specific running services the project depends on in the cluster.
* Describe the project’s dependency lifecycle policy.

OCM depends on the following cluster services:
- **Kubernetes API Server**: Core dependency for all OCM operations and CRD storage
- **etcd**: Stores all OCM custom resources and cluster state information
- **kube-controller-manager**: Required for leader election and resource management
- **CoreDNS/kube-dns**: Name resolution for inter-component communication
- **kubelet**: Manages OCM pods on cluster nodes

* Describe the project's dependency lifecycle policy.

OCM follows a conservative dependency lifecycle policy:
- Kubernetes dependencies are updated to the latest stable version with each OCM release
- Go dependencies are updated monthly via Dependabot automated PRs for security patches
- Major dependency upgrades are planned during quarterly releases with backward compatibility testing
- Legacy dependencies are deprecated with a minimum 2-release migration period
- Critical security vulnerabilities in dependencies trigger immediate patch releases
- All dependency changes require approval from project maintainers and CI validation

* How does the project incorporate and consider source composition analysis as part of its development and security hygiene? Describe how this source composition analysis (SCA) is tracked.

OCM incorporates SCA through multiple automated tools and processes:
- **GitHub Security Scanning**: Enabled for vulnerability detection in source code and dependencies
- **Dependabot**: Automatically tracks dependency vulnerabilities and creates PRs for security updates
- **SBOM Generation**: Creates Software Bill of Materials for all container images using SPDX format
- **License Scanning**: Ensures all dependencies comply with project license requirements
- **Supply Chain Security**: Uses Cosign and Sigstore for image signing and attestation
- **Trivy Integration**: Scans container images for known CVEs in CI/CD pipeline
- **Tracking**: SCA results are monitored via GitHub Security Dashboard and dependency update PRs

* Describe how the project implements changes based on source composition analysis (SCA) and the timescale.

N/A

### Troubleshooting

* How does this project recover if a key component or feature becomes unavailable? e.g Kubernetes API server, etcd, database, leader node, etc.
Expand All @@ -549,7 +611,14 @@ TBD

* Describe the known failure modes.

TBD
Known failure modes in OCM include:
- **Hub Cluster Failure**: Complete hub unavailability causes loss of centralized management, but managed clusters continue running existing workloads
- **Network Partitions**: Spoke clusters unable to reach hub lose management capabilities until connectivity is restored
- **Certificate Expiration**: Failed certificate rotation can break hub-spoke communication requiring manual intervention
- **etcd Corruption**: Hub cluster data loss requires backup restoration and managed cluster re-registration
- **Resource Exhaustion**: Too many clusters or ManifestWorks can overwhelm hub resources causing performance degradation
- **API Server Overload**: High API request volume can cause timeouts and failed operations
- **Addon Failures**: Individual addon crashes affect specific functionality but don't impact core cluster management

### Security

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* Cloud Native Threat Modeling
* How does the project ensure its security reporting and response team is representative of its community diversity (organizational and individual)?
* How does the project invite and rotate security reporting team members?

OCM does not currently have a formal security reporting and response team structure separate from the maintainer team.
The project would benefit from establishing a dedicated security response team with diverse representation as it matures.

* How does the project invite and rotate security reporting team members?

Currently, OCM does not have a formal process for inviting and rotating security reporting team members as security
responsibilities are handled by the general maintainer team.