azure-mgmt-servicefabricmanagedclusters
Microsoft Azure Servicefabricmanagedclusters Management Client Library for Python
Decision gist · record as of 2026-08-14
Yes, if you need to manage Azure Service Fabric Managed Clusters from Python. It is actively maintained, has no known vulnerabilities, and supports current Python versions. Be aware that version 3.0.0 contains breaking changes to operation methods and model structures; review migration guidance if upgrading from earlier versions. Requires Azure subscription and proper authentication setup.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9+; Azure subscription and authentication environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID) must be configured.
- Low install friction with three lightweight runtime dependencies.
- Actively maintained with recent updates; supports current Python versions (3.9+).
License · maintenance · safety
(unclear)
last release 2026-03-12 (155 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,165,361 downloads/mo, #2,151 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-servicefabricmanagedclusters
from azure.mgmt.servicefabricmanagedclusters import ServiceFabricManagedClustersManagementClient
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = ServiceFabricManagedClustersManagementClient(
credential=credential,
subscription_id=sub_id
)- Whether version 3.0.0's breaking changes to hybrid models and operation methods require significant refactoring in existing codebases
- Performance characteristics and rate limits when managing large-scale clusters or frequent API calls
- Whether azure-identity is required as a hard dependency or only for authentication scenarios
What it is and what it does
This is Microsoft's official Python client library for managing Azure Service Fabric Managed Clusters. It provides programmatic access to cluster operations—creating and updating clusters, managing node types, deploying applications, and monitoring service health—through a standard Azure SDK interface. The library depends on isodate for date handling, azure-mgmt-core for common Azure management patterns, and typing-extensions for runtime type support.
Version 3.0.0 introduces breaking changes around hybrid models and operation methods (several update operations now use begin_update for long-running operations), so existing code may require refactoring. The package targets Python 3.9+ and is actively maintained, with recent updates adding new disk types, security options, and operational methods for applications and node types.
Use it for
- Automate provisioning and configuration of Service Fabric managed clusters in Azure environments
- Deploy and manage applications across Service Fabric clusters programmatically
- Monitor and restart deployed code packages or service replicas on cluster nodes
- Perform node type operations like deallocate, redeploy, and start on managed clusters
- Integrate cluster lifecycle management into infrastructure-as-code or CI/CD pipelines
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to manage Azure Service Fabric Managed Clusters from Python.
It is actively maintained, has no known vulnerabilities, and supports current Python versions. Be aware that version 3.0.0 contains breaking changes to operation methods and model structures; review migration guidance if upgrading from earlier versions. Requires Azure subscription and proper authentication setup.
Install
azure-mgmt-servicefabricmanagedclusters on PyPI
Before you install
Low install friction with three lightweight runtime dependencies. Actively maintained with recent updates; supports current Python versions (3.9+).
Requires Python 3.9+; Azure subscription and authentication environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID) must be configured.
Quickstart
pip install azure-mgmt-servicefabricmanagedclusters
from azure.mgmt.servicefabricmanagedclusters import ServiceFabricManagedClustersManagementClient
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = ServiceFabricManagedClustersManagementClient(
credential=credential,
subscription_id=sub_id
)Verify before relying
- Whether version 3.0.0's breaking changes to hybrid models and operation methods require significant refactoring in existing codebases
- Performance characteristics and rate limits when managing large-scale clusters or frequent API calls
- Whether azure-identity is required as a hard dependency or only for authentication scenarios
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesisodateazure-mgmt-coretyping-extensions |
| Maintenance | Actively maintained 155 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 5,165,361 / month, #2,151 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: azure_mgmt_servicefabricmanagedclusters-3.0.0-py3-none-any.whl
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See also azure-mgmt-servicefabric · azure-mgmt-web · sfctl · azure-mgmt-resource · azure-mgmt-containerservice · azure-mgmt-managementgroups · azure-mgmt-eventgrid · azure-mgmt-redisenterprise · azure-servicefabric · azure-mgmt-resource-deployments