Template guide
Overview
This scale-readiness review helps engineering teams identify bottlenecks before growth spikes by capturing workload patterns, architecture limits, and infrastructure elasticity.
Who should use this template
- Engineering leaders
- SRE teams
- SaaS architects
What this template covers
Traffic and workload profile
- Users and concurrency
- API traffic characteristics
- Peak patterns
Architecture and data scaling
- Monolith vs services
- Cache and queues
- Replication and sharding posture
Infrastructure and risks
- Autoscaling/load balancing/CDN
- SPOFs
- Latency and throughput risks
From responses to AI summary
FormGenyus is built for workflows where raw answers are long. Here is an illustrative example of how a summary differs from raw text (not from a live submission).
Sample raw response
Peak concurrency 4k, read-heavy API, single-writer DB, cache hit rate 62%, no queue backpressure controls…
Scalability risk brief
- Primary bottleneck: single-writer database under burst load
- Secondary risk: low cache efficiency at peak
- Recommendation: optimize read path + queue-based write smoothing
FAQ
- Is this useful before big launches?
- Yes. It is ideal before product launches, enterprise onboarding, or new region rollouts.
- What does the summary highlight?
- The AI brief focuses on scaling risks, expected traffic bottlenecks, and practical mitigation strategies.

