Akri
Akri is a CNCF Sandbox project that exposes heterogeneous leaf devices (such as IP cameras and USB devices) as resources in a Kubernetes cluster. It enables dynamic discovery and utilization of IoT edge devices through protocol-specific Discovery Handlers for ONVIF, OPC UA, and udev, with automatic workload scheduling and high availability.
Akri publishes 1 API on the APIs.io network: Metrics API. Tagged areas include Device Management, Edge Computing, IoT, Kubernetes, and CNCF.
The Akri catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Akri’s developer surface includes documentation, getting-started guide, changelog, code examples, and 10 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Akri Metrics API
Prometheus metrics endpoints for Akri Agent, Controller, and broker pods
Pricing Plans 1
Published pricing tiers and plan structures.
Akri Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Akri Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Akri Finops
FINOPSFeatures 10
Notable capabilities this provider offers.
Dynamic Device Discovery
Automatically discovers heterogeneous leaf devices (IP cameras, USB devices, industrial sensors) across Kubernetes cluster nodes using protocol-specific Discovery Handlers.
ONVIF Discovery Handler
Discovers IP cameras via ONVIF standards and RTSP streams, with filtering by IP address, MAC address, ONVIF scopes, and device UUIDs.
OPC UA Discovery Handler
Discovers industrial automation servers and Local Discovery Servers via OPC UA protocol, supporting x509 certificate authentication for secure connections.
udev Discovery Handler
Discovers locally attached hardware (USB devices, cameras, microphones) on Linux nodes using udev rules with kernel device name and capability filtering.
Automatic Workload Scheduling
Automatically schedules broker Pods or Jobs per discovered device based on Akri Configuration specifications, managing the full workload lifecycle.
High Availability
Multiple nodes can access a single leaf device, ensuring service continuity if a node fails. Supports multi-node device reservation.
Kubernetes Custom Resources
Two CRDs: configurations.akri.sh for discovery specification and instances.akri.sh representing each discovered device as a Kubernetes resource.
Extensible Discovery Handler Framework
Community can implement custom Discovery Handlers as DaemonSets using the akri-discovery-handler-template, enabling support for any device protocol.
Prometheus Metrics
Built-in Prometheus metrics on port 8080 for instance count, discovery response results, discovery latency, and broker pod count, with Grafana visualization support.
Multi-Architecture Support
Supports Linux nodes on amd64, arm64v8, and arm32v7 architectures with Kubernetes v1.16+, K3s, and MicroK8s distributions.
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Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Akri Akri Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Akri API Rules
SPECTRALAkri API Rules
SPECTRALJSON Schema 7
Standalone JSON Schema definitions for this provider's data models.
AkriBrokerPodCount
JSON SCHEMAAkriConfiguration
JSON SCHEMAAkriDiscoveryResponseResult
JSON SCHEMAAkriDiscoveryResponseTime
JSON SCHEMAAkriInstanceCount
JSON SCHEMAAkriInstance
JSON SCHEMAPrometheusMetrics
JSON SCHEMAScroll for all 7
JSON Structure 7
JSON Structure definitions describing this provider's data shapes.
Akri Akri Broker Pod Count Structure
JSON STRUCTUREAkri Akri Configuration Structure
JSON STRUCTUREAkri Akri Discovery Response Result Structure
JSON STRUCTUREAkri Akri Discovery Response Time Structure
JSON STRUCTUREAkri Akri Instance Count Structure
JSON STRUCTUREAkri Akri Instance Structure
JSON STRUCTUREAkri Prometheus Metrics Structure
JSON STRUCTUREScroll for all 7
Examples 6
Example request and response payloads for these APIs.
Akri Akri Instance Example
EXAMPLESecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers build with this provider.
Edge IoT Device Management
Expose and manage IoT leaf devices such as IP cameras and USB sensors as first-class Kubernetes resources for edge computing workloads.
Industrial Automation Integration
Connect industrial OPC UA servers and automation equipment to Kubernetes clusters for real-time monitoring and control workflows.
Computer Vision at the Edge
Deploy ONVIF-compliant IP camera brokers automatically as cameras are discovered, enabling distributed computer vision processing.
Dynamic Hardware Resource Scheduling
Automatically schedule GPU, FPGA, or specialized hardware workloads based on real-time device availability across cluster nodes.
Heterogeneous Device Fleet Management
Manage fleets of diverse edge devices with different protocols from a single Kubernetes control plane using unified Configuration resources.
Integrations 7
Pre-built integrations with other platforms and tools.
Prometheus
Native Prometheus metrics integration via ServiceMonitor and PodMonitor custom resources, with Grafana visualization support.
Helm
Official Helm chart packaging for deploying Akri Controller, Agent DaemonSet, and Discovery Handler DaemonSets.
Kubernetes Device Plugin Framework
Extends the Kubernetes Device Plugin Framework with edge-specific capabilities for heterogeneous leaf device management.
ONVIF
Built-in ONVIF protocol support for discovering and managing standards-compliant IP cameras and video devices.
OPC UA
Built-in OPC UA protocol support for industrial automation device discovery with certificate-based security.
Linux udev
Built-in udev integration for discovering locally attached hardware devices on Linux Kubernetes nodes.
CNCF Ecosystem
CNCF Sandbox project integrating with cloud native tooling including K3s, MicroK8s, and standard Kubernetes distributions.
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Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help