weaveworks/flagger

Features

• Canary Deployment Controllers - Shifts traffic to new application versions incrementally while monitoring performance metrics and health for automated promotion or rollback.
• Canary Release Managers - Performs canary releases by gradually shifting traffic while monitoring performance metrics to automate promotion or rollback.
• Progressive Delivery Strategies - Shifts traffic to new application versions incrementally while monitoring performance metrics and health, automatically promoting or rolling back based on analysis.
• Progressive Delivery Operators - Automates canary, blue/green, and A/B testing deployments by shifting traffic incrementally while monitoring health metrics.
• Rollout Health Monitoring - Tracks HTTP success rates and latency during rollouts to automatically halt and revert changes if performance degrades.
• Traffic-Based - Routes traffic to specific software versions based on HTTP match conditions to target user segments for experimentation.
• Progressive Release Automators - Automates the incremental shifting of traffic between application versions to reduce production risk.
• Blue-Green Deployments - Orchestrates blue/green deployments by switching traffic between identical environments using networking or service mesh.
• Cluster State Reconciliation - Continuously aligns the actual state of a cluster with a desired configuration.
• Custom Resource Controllers - Uses Kubernetes custom resource controllers to automate application lifecycle management and traffic routing configurations.
• Deployment Automation - Supports canary releases, A/B testing, blue/green deployments, and traffic shadowing to manage production application introductions.
• Metrics-Aware Rollbacks - Evaluates real-time telemetry against thresholds to automatically trigger rollbacks to the stable version.
• Automated Rollout Managers - Manages application updates through incremental rollout procedures and automated rollback capabilities based on metric analysis.
• Deployment Rollbacks - Reverts traffic to the stable version immediately when health checks or performance thresholds fail during a deployment.
• Automated Canary Analysis - Evaluates real-time metrics against defined thresholds to automatically determine if a new release should be promoted or rolled back.
• Automated Guardrail Rollbacks - Monitors real-time metrics during a rollout and automatically reverts traffic to the stable version if thresholds are breached.
• Automated Metric Analysis - Integrates external monitoring queries to enforce performance or error rate requirements for new deployments.
• GitOps Workflows - Reacts to cluster events and declarative configuration to automate delivery within continuous deployment workflows.
• Automated Release Validation - Hardens the deployment process by executing custom metrics analysis, acceptance tests, and load tests during traffic shifting.
• Rolling - Automatically rolls back failed deployments by reverting traffic to the stable version and scaling down canary instances.
• Automated Rollback Mechanisms - Automatically routes traffic back to the primary version and scales down the canary when performance metrics cross a failure threshold.
• Deployment Analysis Webhooks - Orchestrates external webhooks during deployment analysis to validate releases and gate promotions.
• Progressive Traffic Shifters - Moves traffic to new versions gradually while monitoring performance metrics to decide whether to promote or roll back.
• Service Traffic Routing - Automates service discovery and traffic routing strategies like canary or blue-green releases.
• Traffic Routing - Directs network traffic to specific services using proxy configurations to manage canary and blue/green deployment routing.
• Traffic Routing Controllers - Manages network request flow and routing logic to direct traffic between stable and canary application versions.
• Weighted Traffic Splitting - Distributes network traffic among multiple versions of a service based on predefined weights.
• External Monitoring Thresholds - Connect to external monitoring providers via templates to run specific queries and validate canary health against defined threshold ranges.
• External Metrics Querying - Integrate external monitoring systems to validate canary releases against custom performance indicators using provider-specific query languages and threshold ranges.
• Analysis Loops - Evaluates real-time telemetry from monitoring providers to automatically promote or roll back releases based on performance thresholds.
• Custom Metric Scraping - Queries external monitoring tools to validate deployment health against custom thresholds.
• Release Health Monitoring - Monitors metrics over defined intervals to automatically promote or roll back deployments based on health thresholds.
• Deployment Configuration Synchronizers - Tracks updates to secrets and configuration maps to ensure stable versions remain consistent with application requirements.
• Canary Rollout Hooks - Runs pre-rollout and analysis-time webhooks to perform acceptance tests or load generation during the canary deployment process.
• A/B Testing - Routes traffic to canary versions based on HTTP headers or cookies to target specific user segments for feature testing.
• Rollout - Provides logic injection points for executing custom tests or validation checks at specific stages of a deployment rollout.
• Configuration Synchronization - Ensures stable and canary workloads maintain consistent configuration, including secrets and maps, during the deployment lifecycle.
• Metric Triggers - Integrates with external alert managers to trigger notifications when performance metrics or deployment status indicate failure.
• Automated Test Execution - Triggers pre-rollout and during-rollout webhooks for acceptance or load testing to verify application stability.
• Deployment Load Testing Hooks - Triggers custom webhooks during the deployment analysis phase to generate synthetic traffic against the new version.
• Event-Driven Workflow Triggers - Triggers automated deployment workflows and status notifications in response to cluster events and configuration changes.
• Webhook Notification Systems - Sends deployment status updates and action payloads to a configured webhook via HTTP POST requests for integration with external notification or management tools.
• Webhook-Triggered Workflows - Calls external HTTP endpoints during release stages to gate deployments, run pre-checks, or signal rollbacks.
• Alert Provider Configurations - Defines specific alert providers and severity levels for individual canary deployments to override global notification settings and target relevant channels.
• Service Mesh - Manipulates service mesh and ingress routing rules to incrementally shift traffic between application versions.
• Auto-scaling Policies - Integrates with autoscalers to pause traffic shifts while workloads scale, optimizing resource usage during analysis.
• Rollout Scaling Coordinators - Synchronizes traffic shifting with autoscalers to ensure primary and canary workloads scale appropriately during analysis.
• Rollout-Aware Autoscalers - Adjusts replica counts dynamically based on custom metrics while shifting traffic to new application versions.
• GitOps Deployment Management - Manages application rollouts declaratively through GitOps pipelines and automated reconciliation.
• Release Reconciliation Pausing - Suspends all automation and traffic shifts for a specific workload to prevent new changes from triggering rollouts.
• Pre-Rollout Hook Runners - Executes webhooks, scripts, or tests before starting a rollout to ensure the new version meets baseline requirements.
• Delivery Pipeline Suspenders - Suspends the reconciliation of canary resources to stop traffic shifts and ignore changes to workloads or configurations.
• TCP Canary Controllers - Performs progressive delivery for non-HTTP services by routing TCP traffic between application versions.
• Alertmanager Alert Forwarders - Triggers external alerts via Prometheus Alertmanager when canary deployments fail based on status metrics.
• Deployment Conformance Tests - Triggers external webhooks during the release process to perform acceptance checks or manual gating before finalizing a deployment.
• Pod Traffic Mirroring - Copies incoming requests to the canary version for testing purposes while discarding responses to validate performance.
• Validation Traffic Mirroring - Duplicates incoming requests to both primary and new versions to collect metrics and verify stability.
• Test Execution Hooks - Triggers external traffic generation services during deployment rollouts to validate application performance and stability.
• Ad-Hoc Hook Runs - Calls webhooks during the release process to perform load testing, conformance checks, or manual gating before increasing traffic.
• Deployment Analysis Hooks - Triggers external HTTP requests at specific deployment stages to validate progress, perform manual approvals, or execute custom logic.
• Mesh Traffic Policy Management - Orchestrates complex traffic routing, header-based A/B testing, and request mirroring for service mesh-managed applications.
• Multi-Workload Scaling - Synchronizes autoscaling between primary and canary workloads to maintain resource efficiency during traffic shifts.
• Rollout Scaling Coordination - Coordinates autoscalers for primary and canary deployments to optimize resource usage while shifting traffic.
• Pod Autoscaling - Synchronizes autoscaling between primary and canary versions to optimize resource usage during traffic shifts.
• Analysis Trigger Automators - Triggers analysis cycles automatically based on changes to container images, configuration maps, or secrets.
• Create-or-Update Release Configurators - Publishes the outcome of a canary analysis and the reasons for promotion or failure to communication tools like Slack or MS Teams.
• Deployment Rolling Restarts - Detects performance degradation during releases and automatically diverts traffic back to the stable version to minimize impact.
• HTTP Scan Metric Exposers - Exports internal status and traffic weight data to monitoring systems for health analysis.
• Service Mesh Control Planes - Integrates with service meshes and ingress controllers to perform incremental traffic shifting and request mirroring.
• Webhook Integrations - Sends HTTP POST requests at specific deployment stages to automate manual approvals and validation checks.
• Webhook Triggers - Executes external requests during the canary analysis phase to generate synthetic load or perform custom validation.
• Alerting Integrations - Triggers external monitoring alerts when canary deployments fail by exposing status metrics.
• Webhook Event Receivers - Receives and processes webhook callbacks during deployment stages to validate success or initiate rollbacks.
• External Status Notifications - Publishes the results of a canary analysis to external communication tools to inform teams of successful promotions or failed rollouts.
• Sticky Session Configurations - Combines weighted routing with sticky sessions to ensure a consistent user experience during a progressive rollout.
• Request Routing - Modifies request headers, rewrites URLs, and enforces traffic policies during the deployment process to manage request routing.
• User Affinity Routing - Combines weight-based traffic shifting with cookie routing to ensure users who have seen a new version are not routed back.
• Component Affinity Routing - Combines weighted routing with session affinity to ensure users consistently reach the same application version.
• Session Persistence - Ensures a consistent user experience by pinning sessions to specific application versions during progressive delivery.
• Version Affinity - Maintains consistent user routing to specific application versions to avoid inconsistent experiences during rollouts.
• Protocol-Specific Routing - Extends traffic shifting capabilities to TCP services by configuring protocol-specific routing rules.
• Session and Traffic Routing - Combines weighted routing and session persistence to ensure a consistent user experience during canary releases.
• Session-Specific Request Routing - Directs requests to canary versions based on HTTP match conditions to target specific user segments.
• Deployment Validation Webhooks - Calls remote services during deployment to perform conformance checks and manual gating before increasing traffic.
• Conditional Routing - Directs requests to specific application versions based on metadata or application-defined conditions.
• Layer 4 TCP Routing - Performs progressive delivery for non-HTTP services by managing traffic routing at the transport layer.
• Load Generation - Simulates traffic during canary analysis to validate application performance and stability under load.
• Cookie-Based Session Management - Combines weight-based traffic shifting with cookie-based routing to ensure users stay on a specific version.
• Canary Version Rollouts - Gradually shifts traffic to a new application version by detecting changes in container images, configuration, or secrets.
• Stable Primary Deployments - Maintains a stable primary deployment and automatically updates it only after new versions pass analysis.
• Lifecycle Event Watchers - Emits JSON payloads via HTTP POST to external services during the release process.
• Manual Intervention Gates - Pauses or resumes the promotion process to allow a human operator to approve the transition to the next traffic stage.
• Webhook Event Notifiers - Triggers external HTTP requests at specific stages of a deployment to validate status, perform manual gates, or notify external systems.
• Webhook Event Notifications - Sends JSON payloads via HTTP POST requests whenever a release event occurs, enabling integration with external notification systems.
• Test Execution Triggers - Executes external webhooks to generate synthetic traffic during the analysis phase of a rollout.
• Canary Infrastructure Orchestrators - Generates the necessary service and routing objects to expose applications within a service mesh and drive automated promotion.
• Workflow Approval Gates - Pauses automated rollout processes to await manual approval or confirmation from external services.
• Release Validation Hooks - Runs webhooks for load testing and conformance checks to ensure stability before promoting a release.
• Severity-Based Routing - Filters notification delivery based on severity levels to manage alerts for manual confirmations or deployment failures.
• Real-Time Event Notifications - Sends real-time JSON notifications via HTTP POST during the canary process.
• Alert Notification Management - Defines custom notification channels and severity thresholds globally or per individual deployment to manage operational visibility.
• Alert Managers - Triggers external alerts through monitoring systems when canary deployments fail to meet analysis criteria.
• Business-Level Performance Analyzers - Integrates external performance queries to validate releases against business or technical thresholds before promotion.
• Custom Metric Autoscalers - Integrates external monitoring data to verify application health during deployment using custom success criteria.
• Analysis-Time Autoscalers - Integrates with event-driven autoscalers to dynamically adjust replica counts based on custom metrics while shifting traffic.
• Event Monitoring Systems - Sends JSON payloads via HTTP POST to notify external monitoring or communication tools of system events.
• Analysis Metrics - Exposes Prometheus metrics to track the status of canary analysis and current traffic weight distribution.
• Metrics Exporters - Exposes metrics that track the status of canary analysis and traffic weight distribution.
• Metric and Performance Monitors - Evaluates release health using Prometheus queries to ensure key performance indicators stay within defined thresholds.
• Performance Visualization - Displays real-time metrics for application workloads on a dashboard to help operators track traffic shifts and health during progressive delivery.
• Query Templates - Create reusable query templates to measure specific operational indicators, such as error rates or latency, from a monitoring provider.
• Evaluation Metric Monitors - Integrates external monitoring data to evaluate canary performance against specific latency, error rate, or custom business logic thresholds.
• Application Health Monitors - Evaluates Prometheus queries during a rollout to ensure application performance indicators stay within defined limits.
• Reconciliation Troubleshooting - Pauses the automated release process for specific workloads to prevent traffic shifting or configuration updates during maintenance.
• Analysis Traffic Simulators - Triggers artificial request patterns for workloads lacking organic activity to ensure performance monitoring tools have enough data.
• Prometheus Metrics Exporters - Exposes Prometheus metrics regarding analysis status and traffic weight values to enable external monitoring.
• Prometheus Metric Ingestion - Evaluates application health against Prometheus thresholds during rollouts to automatically halt or revert deployments.
• Prometheus Monitoring Practices - Integrates custom Prometheus queries to enforce performance thresholds during automated deployment analysis.
• Service Level Objective Management - Monitors application metrics against service level objectives to automatically roll back releases if performance thresholds are violated.
• Automated Rollback Triggers - Integrates with monitoring providers to automatically trigger rollbacks when service health thresholds are breached.
• Metric Validation Tools - Executes Prometheus queries during a rollout to ensure specific business or technical metrics remain within defined thresholds.
• Performance Goal Validation - Monitors service level objectives like error rates and response times to automatically roll back releases if performance drops.
• Time-Series Performance Metrics - Exports internal analysis status and traffic weight values to time-series databases for performance tracking.
• Webhook Notifications - Streams JSON payloads of deployment actions to HTTP endpoints for external integration.
• Webhook Quality Gates - Triggers external tests via HTTP webhooks to validate application health and gate the promotion of new releases.
• Integration Test Suites - Executes automated test suites to verify application stability and conformance in the target environment.
• Test Automation Tools - Triggers webhooks for conformance and load testing to harden the validation process of a release.
• Performance Testing - Generates synthetic traffic against a test workload to confirm performance metrics and stability thresholds.
• Load Testing Tools - Simulates user traffic to evaluate application performance under stress during canary analysis.
• Rollout Approval Gates - Provides mechanisms to manually pause, resume, or approve the progression of a workload rollout.
• Rollout Lifecycle Hooks - Triggers external webhooks or scripts to perform acceptance tests and load tests before and during the traffic-shifting process.
• Scaling-Aware Rollout Pausers - Integrates with autoscalers to pause traffic increases until the primary and canary workloads have scaled appropriately.
• End-to-End Testing - Runs end-to-end test suites against local clusters to confirm functionality across service meshes and ingress controllers.
• Smoke Testing - Executes custom test suites or commands before routing traffic to a new version to verify system integrity.
• Synthetic Traffic Generators - Triggers webhooks to send simulated requests to canary releases during analysis to validate performance.
• HTTP Header-Based - Route traffic to new versions based on HTTP headers or cookies to ensure consistent user sessions during analysis.
• Traffic Generation Engines - Simulates high volumes of user traffic to evaluate application performance and stability during deployment analysis.
• Header-Based Routing - Directs network traffic to specific service versions based on the presence and value of HTTP request headers.
• Automation and CI/CD - Automates release processes for progressive delivery.
• Continuous Delivery and GitOps - Operator for automating progressive delivery and canary releases.
• Continuous Integration and Delivery - Progressive delivery operator for Kubernetes deployments.

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