SLA Reactor — Latency-aware sync orchestrator with dynamic failover
9/10
Demand Score
Delayed syncs break time-sensitive use cases (billing, notifications, inventory), directly impacting revenue and customer trust.
7/10
Blue Ocean
Competition Level
$1k-6k
Price/Month
Predicted customer spend
10 days
Time to MVP
Difficulty: Moderate
The Problem
An orchestration layer that meets explicit end-to-end latency budgets by switching between CDC, webhooks, and adaptive polling. Provides jitter-aware backpressure, predictive lag alerts, ephemeral wor
🔗 Validated by Real User Complaints
This problem has been verified through 5 real user complaints:
Competitor Landscape
- Airflow
- Dagster
- Prefect
- Confluent ksqlDB
- AWS DMS
- Temporal (DIY)
- Monte Carlo (observability)
Must-Have Features for MVP
Latency budget policies per pipeline and destination
Real-time end-to-end lag telemetry and heatmaps
Webhook reliability layer with dedupe and re-drive
Adaptive polling cadence with rate planner
Auto failover across ingestion modes
Partial-window replay and checkpointing
Forecast-based scaling and alerting
⚠️ Potential Challenges
- Unpredictable third-party API throttling
- Bursty traffic and backfill contention
- Hybrid/on-prem connectivity
- Fairness across many destinations
Risk Level: Moderate
🎯 Keys to Success
- P95 end-to-end latency within SLA for >99% of hours
- 50%+ reduction in latency-related incidents
- Backfill completion time reduced by >40%
- Automatic failover success rate >98%
- MTTD for lag drops below 2 minutes
Ready to Build This?
This moderate-difficulty project could be your next micro-SaaS success.