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operator-framework/operator-sdk

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7,658 stele·1,775 fork-uri·Go·Apache-2.0·3 vizualizărisdk.operatorframework.io↗

Operator Sdk

The Operator SDK is a framework for building, packaging, and managing custom controllers that extend the Kubernetes API. It serves as a toolset for defining new API types and implementing reconcile loops to automate the lifecycles of complex applications.

The project provides specialized support for creating operators based on Helm charts or Ansible playbooks, allowing users to maintain a desired cluster state using existing automation tools. It includes a dedicated system for packaging controllers into standardized container image bundles for distribution via the Operator Lifecycle Manager.

The SDK covers a broad range of operational capabilities, including project scaffolding, RBAC manifest generation, and the implementation of admission webhooks for API validation. It also provides tools for multi-architecture builds, observability instrumentation, and automated testing through scorecard and integration frameworks.

A command-line interface is provided to scaffold projects, manage operator deployments, and validate bundle compliance from a local environment.

Features

  • Operator Bundles - Packages operators into standardized container images containing manifests and metadata for distribution via OLM.
  • Control Loops - Implements the fundamental Kubernetes-style reconciliation pattern to maintain desired system states.
  • Custom Resource Definitions - Defines new data types and schemas that extend the cluster API to manage domain-specific application lifecycles.
  • Kubernetes Operators - Provides a comprehensive framework for developing custom controllers that extend the Kubernetes API to automate complex application management.
  • Operator Lifecycle Installations - Deploys operator instances using the Operator Lifecycle Manager to automate installation and version updates.
  • Command Line Interfaces - Provides a comprehensive command-line tool suite to scaffold, build, and manage the lifecycle of operators.
  • Bundle Orchestration Updates - Automates the orchestration of updating bundles by updating catalog sources and replacing pods.
  • Project Scaffolding - Bootstraps new operator projects with standardized file structures and initial configurations.
  • Operator Extension Scaffolding - Generates the initial project structure, API definitions, and webhooks required for an operator.
  • CLI Installation Managers - Provides a CLI tool for scaffolding, building, and managing the lifecycle of Kubernetes operators from a local environment.
  • Project Initializers - Bootstraps new operator project directories with essential configuration files and dependency structures.
  • Ansible Playbooks - Enables the use of Ansible playbooks to automate infrastructure setup and resource configuration.
  • Chart-to-Resource Mappings - Links custom resource types to corresponding Helm charts to automate deployment and reconciliation.
  • Cluster State Reconciliation - Continuously aligns the actual state of the cluster with a desired configuration using automation.
  • Automation Role Mappings - Connects specific automation roles to custom resources via mapping files to trigger updates.
  • Operator-Based Lifecycles - Uses a lifecycle manager to automate the installation, updates, and dependency handling of operators.
  • Ansible-Based Operators - Provides the framework to build operators that execute Ansible playbooks for application lifecycle management.
  • Direct Cluster Deployment - Provides the full workflow to build, push, and install operator images and resource definitions into a cluster.
  • Helm Chart Management - Provides a framework for building operators that automate the installation and lifecycle of applications using Helm charts.
  • Kubernetes Operations Automation - Automates the full lifecycle of stateful applications, including installation, scaling, and upgrades, using the Operator pattern.
  • Kubernetes API Generators - Generates boilerplate code for custom resource definitions and their corresponding controller reconciliation logic.
  • Cluster Resource Management - Performs create, update, and delete operations on Kubernetes cluster resources to synchronize state.
  • Dynamic Resource Watching - Allows controllers to register and track resource types at runtime to trigger automated updates.
  • Resource Event Triggers - Maps resource events to reconciliation triggers to automate updates when primary or owned objects change.
  • Kubernetes Controllers - Implements a framework for managing cluster state through declarative reconciliation loops and API server interactions.
  • Kubernetes Deployments - Implements the core capability of deploying controllers and their associated resources into Kubernetes clusters.
  • Manifest Generation - Automatically creates Kubernetes YAML deployment and permission manifests from source code markers.
  • Scaffolding Tools - Provides automated scaffolding to generate the boilerplate code and tooling required to build custom Kubernetes controllers.
  • Operator Bundle Packaging - Packages manifests and metadata into standardized bundles for distribution through compliant container registries.
  • Operator Deployment Modes - Allows running the operator as a local program, a Kubernetes deployment, or as a managed bundle.
  • Admission Webhooks - Implements admission webhooks to intercept and validate or mutate API resource creation requests.
  • Operator Permission Restrictions - Implements granular RBAC constraints to limit an operator's access to secrets and custom resources.
  • RBAC Manifest Generation - Automatically generates Kubernetes RBAC role and cluster role manifests from source code markers.
  • Reconciliation Implementations - Provides the logic used to automate application state management across code, playbooks, or charts.
  • Custom Schema Definitions - Defines structural schemas for custom resources to validate and reject malformed API requests.
  • Dependency Tracking - Automatically identifies and tracks data dependencies to trigger reconciliation when child resources change.
  • Automation Integration - Translates resource specifications into variables for Ansible playbooks or Helm charts to ensure consistent state application.
  • Project Bootstrapping Tools - Generates the initial project structure and access rules required to bootstrap a new operator.
  • Request Validation - Intercepts API server requests to validate or mutate resource configurations before they are persisted.
  • Boilerplate Scaffolders - Generates standard boilerplate files and project structures to accelerate the development of operators using various toolsets.
  • Application Lifecycle Management - Automates the full deployment, configuration, and cleanup lifecycle of stateful applications on a cluster.
  • Secondary Resource Management - Manages resources linked via owner references to trigger reconciliation of the primary resource.
  • Custom Resource APIs - Generates resource definitions and controllers to extend the system with new data types and custom behaviors.
  • Operational Self-Healing - Provides autonomous capabilities for monitoring system health and applying corrective redeployments.
  • Operator Auto-Updates - Regenerates operator manifests to incorporate new API types and configuration changes while preserving metadata.
  • Request Validation - Enforces schema constraints to ensure data integrity of incoming API requests before processing.
  • Reconciliation Loops - Implements continuous control loops that converge system state toward a target state with configurable timing.
  • Reconciliation Event Filtering - Implements logic to evaluate incoming resource events and filter those that should not trigger a reconciliation loop.
  • Kubernetes Resource Validation - Defines validation rules in manifests to reject invalid properties during resource creation or updates.
  • Finalizer Cleanup Hooks - Executes asynchronous cleanup logic via Kubernetes finalizers before a resource is permanently deleted.
  • Operator Bundle Validation - Checks the content and format of bundle images to ensure they conform to OLM specifications.
  • Cluster State Validations - Validates that the actual cluster state matches the desired configuration defined in manifests.
  • Cross-Architecture Binary Compilation - Compiles executable binaries targeting different CPU architectures to ensure compatibility across various hardware platforms.
  • Multi-Architecture Builds - Produces executable binaries targeting multiple hardware architectures to ensure operator compatibility across diverse environments.
  • Operator Bundle Deployments - Enables the deployment and upgrading of operator bundles in a cluster using secure authentication.
  • Ephemeral Bundle Testing - Verifies operator behavior by ephemerally deploying bundle images to a cluster using subscriptions.
  • Local Controller Execution - Starts a controller in a local or remote environment to facilitate rapid testing and development.
  • Out-of-Cluster Controller Execution - Executes the controller outside of a cluster for debugging while maintaining a connection to a remote API.
  • OLM Manifest Generation - Creates the configuration files and container images necessary for OLM-based operator deployment.
  • Kubernetes Manifest Generators - Produces the necessary YAML configuration files to deploy operators and their resources into a cluster.
  • Kubernetes Operator Catalogs - Packages operator bundles into catalog index images for distribution via an operator registry.
  • Admission Webhooks - Modifies or validates resources via callbacks to enforce business logic or apply default values before storage.
  • Playbook Variable Injection - Injects resource specifications and system metadata into playbooks as variables during reconciliation.
  • Application Provisioning - Provides automated deployment of software stacks and services via custom resource definitions.
  • Application Version Updates - Automates the upgrade of workloads and schema migrations for applications managed by previous controller versions.
  • Manifest Validation - Validates the on-disk representation of bundle manifests to ensure they are statically correct for installation.
  • Cluster Lifecycle Managers - Installs and manages the Operator Lifecycle Manager within a cluster to coordinate operator updates.
  • Cluster Resource Pruning - Automatically removes redundant Kubernetes resources from the cluster when they are no longer defined in the desired state.
  • Multi-Architecture Images - Builds and bundles container images that support multiple CPU architectures through manifest lists.
  • Operator - Verifies that operator manifests and metadata meet the required specifications for distribution via catalog registries.
  • Multi-Platform Builds - Supports creating container images for multiple CPU architectures using manifest lists for diverse hardware environments.
  • Custom Resource Status Management - Updates the status subresource of custom resources using execution output or key-value pairs to report application state.
  • Deployment Lifecycle Managers - Installs and verifies the status of the lifecycle manager to prepare the cluster for operator deployment.
  • Deployment Managers - Runs operators in various environments and manages the cleanup of deployed resources after execution.
  • Finalizer-Based Resource Cleanup - Injects owner references into resources to enable automatic garbage collection by the Kubernetes cluster.
  • Automated Chart Upgrades - Triggers a Helm chart upgrade using the force option when changes are detected on a managed resource.
  • Chart Scaffolding - Generates the initial project structure and configuration files needed to build an operator that manages Helm charts.
  • Helm Chart Deployment - Customizes applications by setting override values and environment variables during the deployment of Helm charts.
  • Leader Election - Implements distributed locking and leader election to ensure only one instance handles reconciliation.
  • Tag-to-Digest Resolution - Allows the use of immutable image digests instead of mutable tags to ensure deployment consistency and reproducibility.
  • Annotation-Driven Control - Enables modification of the reconciliation process behavior via metadata annotations on custom resources.
  • Local Resource Caches - Implements local resource caches with selectors to reduce memory consumption in large clusters.
  • PromQL-Based Alerting Rules - Creates and reconciles rule objects, using PromQL, to trigger notifications based on specific cluster state conditions.
  • Deployment Validations - Mimics production rollouts by creating a registry from manifests and verifying that resources reach an installed status.
  • Multi-Architecture Deployments - Checks deployment specifications to ensure compliance with multi-architecture support best practices.
  • Kubernetes Resource Status Management - Provides specialized writers to modify the status subresource of objects for reporting the current state of managed resources.
  • Kustomize Scaffolding - Generates the base and overlay directory structures required for Kustomize-based operator deployments.
  • Bundle Integrity Validation - Checks the integrity and correctness of a portable operator package before it is deployed.
  • Operator Lifecycle Manager Tooling - Provides commands to install, uninstall, and monitor the status of the Operator Lifecycle Manager.
  • Resource Scope Definitions - Determines whether a resource is cluster-scoped or namespace-scoped to control visibility and access.
  • Resource-to-Automation Mappings - Links custom resource types to specific roles or playbooks to trigger automated reconciliation when resources change.
  • Server Load Management - Optimizes API server load by routing read requests through local caches and directing writes to the server.
  • RBAC Manifest Generation - Automatically produces RBAC and deployment manifests based on markers embedded in the source code.
  • Operator Package Manifests - Creates versioned directories containing metadata that defines how an operator is packaged and distributed.
  • Concurrency Tuning - Provides configuration settings to tune the number of concurrent reconciliation workers based on CPU capacity.
  • Version Upgrades - Updates software versions and manages schema migrations for controllers and managed applications.
  • API Resource Version Conversions - Handles API resource versioning through semantic versioning and conversion webhooks to support legacy resource instances.
  • Service Account Provisioning - Automates the creation and configuration of multiple service accounts during the operator bundle generation process.
  • Concurrency Scaling Strategies - Implements concurrency scaling strategies to process multiple resources simultaneously and ensure timely updates.
  • Webhook Generators - Scaffolds the necessary boilerplate for mutating and validating admission webhooks.
  • Traffic Routing Policies - Creates fine-grained traffic routing policies that restrict communication to authorized components.
  • Controller Scope Restriction - Configures controllers to either manage resources cluster-wide or restrict their operations to specific namespaces.
  • Encrypted Secret Management - Integrates with external vaulting tools to decrypt sensitive keys during the reconciliation process.
  • Cluster Resource Isolation - Enables the architecture of operators that support multiple users on a single cluster with strict resource separation.
  • Network Security Policies - Configures network security policies to restrict traffic for metrics and webhooks within a cluster.
  • Service Account Management - Manages non-human identities and programmatic access tokens by assigning different service accounts to components.
  • ClusterServiceVersion Metadata - Automatically populates resource definition details in CSV version files using markers in the source code.
  • Package Manifest to Bundle Conversion - Transforms package manifest directories into bundle images with custom base tags and build commands.
  • Resource Lifecycle Management - Guarantees the correct acquisition and release of resources using finalizers and scopes.
  • Alert Runbooks - Defines operational alerts paired with runbooks to guide administrators through failure remediation.
  • Global Metric Registries - Exposes internal performance counters via a global registry for integration with external monitoring tools.
  • Health Metrics Exposure - Exposes internal component health and performance metrics for consumption by external monitoring tools.
  • Alert-Dashboard Integration - Automatically generates rules and dashboards to track operator performance and alert on operational symptoms.
  • Monitoring and Observability - Provides comprehensive telemetry collection to gain visibility into operator performance and health.
  • Health Monitoring Endpoints - Instruments the controller with standardized endpoints to provide health indicators for monitoring platforms.
  • HTTP Health Probes - Configures liveness, readiness, and startup probes to maintain application availability.
  • Reconciliation Performance Metrics - Exposes histogram metrics to track the frequency and duration of reconciliation loops.
  • Status Condition Event Emissions - Generates Kubernetes-native resource status events to provide operational observability into the reconciliation process.
  • Local Test Execution - Provides a workflow to run operator test suites and build images in a temporary local cluster.
  • Bundle Scorecards - Launches test pods to collect and analyze results for validating operator software bundles.
  • Compliance Verifiers - Executes automated tests within a cluster to ensure the operator conforms to required functional and integration standards.
  • State Assertions - Uses automated tests to assert that the resulting cluster state aligns with the desired configuration.
  • Cluster Integration Testing - Validates component behavior using a local API server environment to simulate cluster interactions.
  • Isolated Functionality Testing - Verifies basic application behavior by running automated test blocks in temporary, isolated environments.
  • Operator Scorecards - Executes scorecard validations to ensure operators meet defined quality and functional standards.
  • Lifecycle Testing - Verifies the behavior of operators during their installation and operational phases via a lifecycle manager.
  • End-to-End Testing - Verifies system-wide functional correctness by simulating complete user workflows across the application stack.
  • Quality Assurance Frameworks - Inspects container images and manifests to ensure they meet defined technical and functional quality standards.
  • Renderer Reconciler Abstractions - Implements the reconciler pattern to compute and apply changes to the cluster state.
  • Kubernetes Operators - SDK for building Kubernetes applications.

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Colecții curatoriate care includ Operator Sdk

Colecții selectate manual în care apare Operator Sdk.
  • Framework-uri pentru dezvoltarea de operatori Kubernetes

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Întrebări frecvente

Ce face operator-framework/operator-sdk?

The Operator SDK is a framework for building, packaging, and managing custom controllers that extend the Kubernetes API. It serves as a toolset for defining new API types and implementing reconcile loops to automate the lifecycles of complex applications.

Care sunt principalele funcționalități ale operator-framework/operator-sdk?

Principalele funcționalități ale operator-framework/operator-sdk sunt: Operator Bundles, Control Loops, Custom Resource Definitions, Kubernetes Operators, Operator Lifecycle Installations, Command Line Interfaces, Bundle Orchestration Updates, Project Scaffolding.

Care sunt câteva alternative open-source pentru operator-framework/operator-sdk?

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