spinnaker/spinnaker
Spinnaker
Spinnaker is a multi-cloud continuous delivery platform designed to automate software releases and deployment pipelines across various public cloud providers and Kubernetes clusters. It functions as a cloud deployment orchestrator and infrastructure delivery tool, coordinating the promotion of software artifacts through multiple environments using visual workflows and directed acyclic graphs.
The platform distinguishes itself with a dedicated canary analysis engine that compares performance metrics between new and stable software versions to automate release decisions. It utilizes cloud-agnostic resource modeling to abstract provider-specific infrastructure, allowing for consistent deployment management across different cloud platforms from a single control plane.
Broad capabilities include cloud infrastructure provisioning and state reconciliation, event-driven pipeline triggering, and the integration of continuous integration and source control tools. The system also provides resource-level access control, identity provider role mapping, and automated notification routing for delivery alerts.
Features
- Automated Software Delivery - Orchestrates the delivery of application changes across multiple cloud environments for consistent and repeatable deployments.
- CI CD Pipelines - Provides a comprehensive management interface for defining and executing automated software deployment pipelines.
- Pipeline Orchestration - Orchestrates application workflows to promote code through environments using a visual interface or configuration.
- Multi-Cloud Orchestrators - Automates the release of software changes across different cloud providers and environments using a unified pipeline.
- Delivery Workflow Visualizers - Orchestrates the release of software changes across cloud environments and clusters using visual workflows.
- Automated Workflow Orchestration - Coordinates sequences of deployment stages as a directed acyclic graph to automate software releases across cloud environments.
- CI Integrations - Integrates with CI and source control systems to trigger automated delivery pipelines via webhooks and events.
- Cloud-Agnostic Resource Modeling - Abstracts provider-specific infrastructure into a common resource model to manage deployments across multiple cloud platforms.
- Multi-Cloud Deployments - Coordinates application versions and infrastructure state across various cloud clusters from a single control plane.
- Pipeline Orchestrators - Coordinates software artifact promotion through environments using visual workflows and directed acyclic graphs.
- Cloud Infrastructure Orchestration - Provisions and manages virtual machines, containers, and load balancers to support multi-cloud application deployments.
- Infrastructure Provisioning and Management - Manages the provisioning and lifecycle of cloud resources like virtual machines and load balancers.
- Declarative Infrastructure Reconciliation - Continuously monitors and reconciles the difference between desired cloud configuration and actual state.
- Automated Canary Analysis - Compares performance metrics between new and stable software versions to automate release decisions.
- Automated Metric Analysis - Compares real-time performance metrics between new and stable versions to automate release promotion decisions.
- Metric-Based Analysis Engines - Provides a dedicated engine to automate release decisions by comparing performance metrics between new and stable versions.
- Release Stability Verification - Performs automated stability comparisons between new and old software versions during a canary release.
- Event-Driven Triggers - Initiates automated pipelines by reacting to external webhooks, image updates, or scheduled expressions.
- Release Automation - Manages the workflow and execution of deployment pipelines to automate the delivery of software to target environments.
- Artifact Versioning - Tracks versioned deployable software and links them to cloud resources to decouple infrastructure from version updates.
- Promotion Constraints - Evaluates artifact versions against environment rules to advance them when stability or approval conditions are met.
- Directed Acyclic Graph Engines - Models delivery workflows as directed acyclic graphs to manage execution order and dependencies for releases.
- Delivery Event Routing - Directs system events from monitoring tools to execution engines to trigger automated delivery pipelines.
- Lifecycle Management - Coordinates remote build lifecycles to provide essential artifact information for deployment pipelines.
- CD Toolchain Integrations - Connects external development lifecycle tools via a plugin framework to extend system capabilities.
- Centralized Configuration Management - Uses a single source of truth to manage environment-specific overlays, authentication, and global system defaults.
- Cloud Infrastructure Integrations - Binds external cloud infrastructure components to applications using automatic configuration and predefined defaults.
- Resource State Modeling - Defines desired state specifications for clusters and load balancers using a structured, cloud-agnostic resource model.
- Cloud Provisioning - Deploys and manages virtual machines, containers, and load balancers across various public cloud providers.
- Configuration Overlays - Uses environment-specific configuration overlays to tune reliability and scale for different deployment environments.
- Registry Monitoring - Tracks container registries for new images to automatically trigger deployment pipelines.
- Declarative Infrastructure Definitions - Specifies infrastructure requirements using declarative definitions to move changes through environments via a visual interface.
- Event and Schedule Routing - Directs system events to appropriate services and handles the timing of task execution via triggers.
- Artifact Event Monitoring - Polls continuous integration services for new artifacts and submits events to trigger downstream pipelines.
- Cloud Provider Integrations - Integrates with various cloud platforms to manage underlying infrastructure and application deployments.
- Inter-Stage Context Sharing - Shares execution context across multiple stages so subsequent tasks can use outputs from previous operations.
- Manifest Generators - Renders deployment manifests using templating engines to create environment-specific configurations.
- Resource-Level Access Controls - Defines group membership requirements and permissions to restrict access to specific application resources.
- Access Control - Handles authorization and security policies to control user access to application and pipeline resources.
- Identity Provider Role Mapping - Maps user roles and permissions from external identity sources to internal system access levels for SSO integration.
- User Access Management - Verifies user permissions for specific accounts or applications via a RESTful authorization interface.
- Centralized Configuration Systems - Centralizes cloud authentication, integration settings, and monitoring through a single source of truth.
- Microservice Orchestration - Coordinates software delivery by distributing specialized logic across independent microservices.
- Plugin Frameworks - Extends system capabilities by loading external modules to connect with third-party CI and delivery services.
- Infrastructure - Continuously monitors the difference between desired cloud configuration and actual state to trigger corrective updates.
- Dynamic Workflow Adjustments - Adjusts the workflow graph during runtime to implement conditional behaviors like automatic rollbacks or canary deployments.
- Automation and CI/CD - Continuous delivery platform for high-velocity software releases.
- CI CD And GitOps - Manages multi-cloud continuous delivery pipelines.
- Continuous Delivery and GitOps - Multi-cloud platform for continuous delivery.
- Infrastrukturmanagement - Continuous delivery platform for cloud-based application deployments.
