The Problem
Distributed systems need a reliable way to manage state, coordinate data flows, and recover from failures. Most existing solutions are either too heavyweight or too brittle for real-world operations.
Pain Points
- State drift and inconsistency across nodes
- Complex recovery from partial failures
- Operational overhead of managing distributed state
- Lack of observability into data flows
Vision
A simple, robust data plane for distributed systems that makes state management, coordination, and recovery predictable and observable. Leverage Hubot's ChatOps User Interface for seamless interaction and control.
Guiding Principles
- Idempotent flows for stability
- Interfaces that clarify failure modes
- Observability as a first-class feature
- Minimal operational overhead
Mission Objectives
Design core data orchestration primitives
In ProgressDefine the essential building blocks for reliable state management and coordination.
Implement idempotent flow engine
PlannedBuild a flow engine that ensures operations are safe to repeat and recover.
Integrate observability tools
PlannedProvide visibility into data flows, state transitions, and failure recovery.
Mission Updates
Mission kickoff
Started design of core orchestration primitives and outlined initial pain points.