# Container Telemetry Stream

*/Software/Container_Telemetry_Stream*

## Solution Overview

Container Telemetry Stream deploys as a lightweight DaemonSet that extracts real-time execution metrics, network I/O, and structured logs directly from Kubernetes and Docker runtimes. It uses eBPF to bypass the OS network stack, capturing granular resource utilization data without instrumenting application code. The output is a continuous, normalized JSON event stream that aggregates cross-cluster performance data into a unified, queryable schema.

Site Reliability Engineers and platform architects integrate this primitive to eliminate the overhead of managing fragmented sidecar agents and custom Prometheus scraping configurations. By providing a single, standardized API endpoint for all cluster exhaust data, the stream prevents blind spots during rapid node scaling and ephemeral pod destruction. Teams no longer write custom parsers for varying log formats across different cloud providers.

Operating as a foundational Headless SaaS layer, the telemetry stream consumes raw Linux kernel events and container runtime state from the infrastructure floor. It exposes WebSockets and Kafka topics consumed by higher-level autonomous agents, such as incident-response bots that auto-scale resources or network-security services that quarantine compromised pods. While the stream itself operates continuously, human operators maintain strict threshold definitions and routing policies in the control plane to manage data egress costs.

## Headless Saas Data Model

**Entities**:
- Name: RoutingPolicy · Description: Rules governing how telemetry data is filtered and routed to destinations
- Name: ThresholdDefinition · Description: Metric limits used to control data egress or trigger alerts
- Name: StreamDestination · Description: Output endpoints like Kafka topics or WebSockets for the JSON event stream
- Name: Cluster · Description: Monitored Kubernetes or Docker environment generating telemetry exhaust
- Name: AgentNode · Description: DaemonSet instance running on a cluster host extracting eBPF metrics
- Name: Workspace · Description: Tenant isolating control plane definitions and telemetry outputs
**Relations**:
- To: Workspace · From: RoutingPolicy · Label: belongs to · Cardinality: one-to-many
- To: Cluster · From: RoutingPolicy · Label: filters data from · Cardinality: one-to-many
- To: StreamDestination · From: RoutingPolicy · Label: routes stream to · Cardinality: one-to-many
- To: RoutingPolicy · From: ThresholdDefinition · Label: applies rules to · Cardinality: one-to-many
- To: Workspace · From: StreamDestination · Label: belongs to · Cardinality: one-to-many
- To: Workspace · From: Cluster · Label: belongs to · Cardinality: one-to-many
- To: Cluster · From: AgentNode · Label: runs on · Cardinality: one-to-many
**Tenant Anchor**: Workspace
**Primary Resource**: RoutingPolicy

## Api Definition

**Protocols**:
- REST
- MCP
- Webhooks
- CLI
**Consumed By**:
- [Incident Response Agent](/Agents/Incident_Response_Agent)
- [Network Security Agent](/Agents/Network_Security_Agent)
- [Auto-Scaling Agent](/Agents/Auto-Scaling_Agent)
**Integrations**:
- [Kubernetes](/Products/Kubernetes)
- [Docker](/Products/Docker)
- [Kafka](/Products/Kafka)
**Consumption Model**: An agent registers the MCP server to dynamically adjust routing policies and thresholds via REST, then ingests the real-time telemetry exhaust by connecting to the configured WebSocket stream destination.
**Workflow Wrappers**:
- Name: Register Telemetry Cluster · Wraps: deploys the DaemonSet configuration, registers the cluster, and binds default routing policies
- Name: Apply Egress Backpressure · Wraps: modifies threshold definitions across active routing policies to throttle high-volume stream destinations
- Name: Isolate Node Exhaust · Wraps: redirects specific agent node telemetry to a dedicated security stream destination

## Api Function Cascade

**Ai Role**: As a deterministic Headless SaaS primitive, this workflow consists entirely of high-throughput Code steps that deploy, ingest, and route container telemetry straight-through with zero human intervention, serving as the foundational data stream consumed by external AI agents.
**Cascade**:
- Kind: Code · Note: Pushes the agent configuration to Kubernetes and Docker environments. · Step: Deploy Cluster DaemonSet · Verb: deploy · Realizes: Deploy System Infrastructure · Oversight: none
- Kind: Code · Step: Register Telemetry Nodes · Verb: register · Realizes: Register Network Devices · Oversight: none
- Kind: Code · Note: Applies MCP-managed policies to determine egress backpressure and isolation. · Step: Bind Routing Policies · Verb: configure · Realizes: Configure Traffic Rules · Oversight: none
- Kind: Code · Step: Ingest Node Telemetry · Verb: ingest · Realizes: Collect Telemetry Data · Oversight: none
- Kind: Code · Note: Emits the high-volume telemetry exhaust to Kafka or WebSocket destinations. · Step: Publish To Message Broker · Verb: publish · Realizes: Publish Data Streams · Oversight: none
**Optimizes**:
- [Telemetry Delivery Latency](/Metrics/Telemetry_Delivery_Latency)
- [Throughput Volume Capacity](/Metrics/Throughput_Volume_Capacity)
- [Routing Policy Sync Time](/Metrics/Routing_Policy_Sync_Time)
- [Stream Ingestion Reliability](/Metrics/Stream_Ingestion_Reliability)

## Headless Saas Representative Offer

**Warranty**: Guarantees 99.9% continuous stream availability with sub-second egress latency, backed by prorated service credits for disrupted routing.
**Price Band**: ~$0.05 to $0.15 per GB of telemetry processed and routed
**Pricing Kind**: MeteredStreaming
**Deliverables**:
- DaemonSet configuration manifests for cluster integration
- Real-time WebSocket and Kafka egress stream endpoints
- MCP server access for dynamic routing policy manipulation
**Delivery Mode**: Instantly provisioned via API registration, with data access and routing continuously metered as agents stream the exhaust.
**Business Function**: ProvideService
**Agent Checkout Support**:
- agentic-commerce-protocol
- stored-credential

## Headless Saas Crud Surface

**Auth Model**: API Key
**Endpoints**:
- GET /workspaces/{workspaceId}/routing-policies — list routing policies
- GET /routing-policies/{id} — fetch a routing policy
- POST /workspaces/{workspaceId}/routing-policies — create a routing policy
- PATCH /routing-policies/{id} — update a routing policy
- GET /routing-policies/{routingPolicyId}/threshold-definitions — list threshold definitions
- GET /threshold-definitions/{id} — fetch a threshold definition
- POST /routing-policies/{routingPolicyId}/threshold-definitions — create a threshold definition
- PATCH /threshold-definitions/{id} — update a threshold definition
- GET /workspaces/{workspaceId}/stream-destinations — list stream destinations
- GET /stream-destinations/{id} — fetch a stream destination
- POST /workspaces/{workspaceId}/stream-destinations — create a stream destination
- PATCH /stream-destinations/{id} — update a stream destination
- GET /workspaces/{workspaceId}/clusters — list clusters
- GET /clusters/{id} — fetch a cluster
- POST /workspaces/{workspaceId}/clusters — create a cluster
- PATCH /clusters/{id} — update a cluster
- GET /clusters/{clusterId}/agent-nodes — list agent nodes
- GET /agent-nodes/{id} — fetch an agent node
- POST /clusters/{clusterId}/agent-nodes — register an agent node
- PATCH /agent-nodes/{id} — update an agent node
- GET /workspaces — list workspaces
- GET /workspaces/{id} — fetch a workspace
- POST /workspaces — create a workspace
- PATCH /workspaces/{id} — update a workspace
**Multitenancy**: Row-level isolation
**Webhook Events**:
- threshold_definition.breached
- agent_node.offline
- cluster.status_changed
- stream_destination.delivery_failed

## Headless Saas Erd

```mermaid
erDiagram
    RoutingPolicy {
        UUID id PK
        UUID workspaceId FK
        UUID clusterId FK
        UUID destinationId FK
        VARCHAR name
        BOOLEAN isActive
    }
    ThresholdDefinition {
        UUID id PK
        UUID routingPolicyId FK
        VARCHAR metricType
        DECIMAL limitValue
        VARCHAR enforcementAction
    }
    StreamDestination {
        UUID id PK
        UUID workspaceId FK
        VARCHAR protocol
        VARCHAR endpoint
        JSONB configPayload
    }
    Cluster {
        UUID id PK
        UUID workspaceId FK
        VARCHAR name
        VARCHAR runtimeEnvironment
        VARCHAR status
    }
    AgentNode {
        UUID id PK
        UUID clusterId FK
        VARCHAR hostname
        TIMESTAMP lastHeartbeat
        VARCHAR healthStatus
    }
    Workspace {
        UUID id PK "tenant key"
        VARCHAR name
        TIMESTAMP createdAt
    }
    RoutingPolicy }o--|| Workspace : "belongs to"
    RoutingPolicy }o--|| Cluster : "filters data from"
    RoutingPolicy }o--|| StreamDestination : "routes stream to"
    ThresholdDefinition }o--|| RoutingPolicy : "applies rules to"
    StreamDestination }o--|| Workspace : "belongs to"
    Cluster }o--|| Workspace : "belongs to"
    AgentNode }o--|| Cluster : "runs on"
```

## Neighborhood

### Composed into

- [Dockside Cargo Inspection Agent](/Agents/Dockside_Cargo_Inspection_Agent) — composes · Agents

### Optimizes

- [Throughput Volume Capacity](/Metrics/Throughput_Volume_Capacity) — optimizes · Metrics
- [Routing Policy Sync Time](/Metrics/Routing_Policy_Sync_Time) — optimizes · Metrics
- [Stream Ingestion Reliability](/Metrics/Stream_Ingestion_Reliability) — optimizes · Metrics
- [Telemetry Delivery Latency](/Metrics/Telemetry_Delivery_Latency) — optimizes · Metrics

### What it uses

- [Kafka](/Products/Kafka) — uses · Products
- [Kubernetes](/Products/Kubernetes) — uses · Products
- [Docker](/Products/Docker) — uses · Products

### Who consumes this

- [Auto-Scaling Agent](/Agents/Auto-Scaling_Agent) — consumed by · Agents
- [Incident Response Agent](/Agents/Incident_Response_Agent) — consumed by · Agents
- [Network Security Agent](/Agents/Network_Security_Agent) — consumed by · Agents

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