Kanister
Kanister is an open-source framework for application-level data management on Kubernetes that enables blueprint-driven backup, restore, and other workflows for stateful workloads.
- Application-level data management framework for Kubernetes (data protection)
- Blueprint-based definition of backup, restore, and data operations as Kubernetes custom resources (Kubernetes extensions)
- Integration with stateful workloads such as databases and message queues running on Kubernetes (stateful applications)
- Extensible action framework to execute data workflows inside pods or containers (automation and orchestration)
- Supports policy-driven, repeatable, and versionable data workflows using Kubernetes-native constructs (configuration-as-code)
More About Kanister
Kanister is an open-source project that provides application-level data management (data protection) for workloads running on Kubernetes. It addresses the problem of coordinating backups, restores, and other data workflows in a way that understands the behavior and consistency requirements of specific applications, rather than treating data management only at the storage layer. The project focuses on enabling operators and platform teams to define and automate these workflows using Kubernetes-native APIs.
The core concept in Kanister is the blueprint (Kubernetes extensions), which is a Kubernetes custom resource that describes data management actions such as backup, restore, and data transformation steps for an application. Blueprints define a sequence of actions and phases, including how to quiesce an application, interact with its data, and resume normal operation. Because blueprints are standard Kubernetes resources, they can be version-controlled, shared, and applied through existing GitOps or Continuous Integration and Continuous Deployment (CI/CD) pipelines.
Kanister uses Kubernetes Custom Resource Definitions (CRDs) and controllers (Kubernetes control plane extensions) to manage its workflows. Users define blueprints and associated custom resources such as actions or profiles, and the Kanister controller interprets these definitions and executes the specified operations inside the relevant pods or containers. This approach allows workflows to use application-native tools and commands, such as database utilities, while remaining orchestrated through Kubernetes.
In enterprise environments, Kanister is used to standardize how teams implement backup, restore, and data copy workflows for databases, message brokers, and other stateful services running on Kubernetes (stateful application operations). Platform operators can create and maintain blueprints for common applications, enabling application teams to trigger consistent data management operations without needing to build custom scripts or external automation. The use of Kubernetes resources as the control plane allows Kanister to integrate into existing Role-Based Access Control (RBAC), policy, and observability setups.
Kanister’s design emphasizes extensibility and interoperability (platform integration). Because actions in blueprints are defined as containerized commands, organizations can integrate Kanister workflows with various storage backends, object stores, or third-party tools, provided they are accessible from within the Kubernetes cluster. The framework can be categorized under Kubernetes data management and data protection tooling, complementing storage-level backup systems by offering application-aware orchestration that aligns with enterprise governance, automation, and compliance practices.