Orchestration

Distributed Automation Pipeline

Visual workflow orchestration with real-time run observability and deterministic fault handling.

A production-grade workflow engine where operators design execution graphs visually, monitor distributed runs in real time, and debug failures with event-level tracing.

D3.jsCanvas APITypeScriptReactSSE
Overview

Problem Space

Multi-step automation across distributed services generates opaque failure chains. Retries lack coordination, execution state is invisible, and debugging requires reconstructing event sequences from scattered logs.

Solution

System Design

A visual workflow engine with real-time run timelines, per-node metrics, structured error handling, and event-level tracing. Operators design execution graphs visually, run them deterministically, and diagnose failures with full context.

Architecture

System Components

Workflow Builder
visual DAG editor with node inspection
Orchestrator
run lifecycle, scheduling, retry policies
Job Queue
distributed task routing to worker pools
Worker Pools
node execution with typed connectors
Event Stream
structured event capture for observability
Metrics Store
throughput, latency, and error aggregation
Interactive Demo

Live Prototype

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Interactive prototype — all data generated client-side with deterministic seeds.

Benchmark

Reference Performance

Reference benchmark: 6-node pipeline, 120 evt/s baseline with burst to 900 evt/s at t=30s. Measured throughput, p95 latency, and error rate over 60s window with deterministic seed.

Throughput (evt/s): minimum 120.0, maximum 900.0, average 452.9
P95 Latency (ms): minimum 90.0, maximum 800.0, average 294.3
Error Rate: minimum 0.0, maximum 0.1, average 0.0

Deterministic seed · 60s window · Simulated workload · Local environment

Technology

Implementation Details

D3.jsCanvas APITypeScriptReactSSE