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Real results from teams using FaultRay to prove infrastructure resilience — without touching production.
These are anonymized composite examples from our beta program. Formal signed case studies are in progress. If you'd like to be featured, contact us.
A 12-person SRE team was preparing for a Series B audit requiring evidence of 99.99% availability. Manual chaos engineering on staging was taking weeks per cycle.
Deployed FaultRay in under 15 minutes via `pip install faultray`. Ran 2,048 simulation scenarios across their payment pipeline topology (18 components).
99.9991%
Availability proof
< 1 hour
Time to first report
7 before audit
Critical findings surfaced
1st attempt
Audit passed
“We proved our availability ceiling to investors before touching a single production system. FaultRay gave us a math-backed answer in an afternoon.”
A mid-size retailer's peak-season traffic caused cascading failures that cost $2M in lost revenue. The root cause was unclear — too many interacting failure modes.
Used FaultRay's N-Layer analysis to model the full stack (database, CDN, payment gateway, inventory) and identify the weakest link automatically.
DB connection pool
Root cause identified
+0.8 nines after fix
Availability ceiling
2,048 in 3 min
Scenarios analyzed
0 critical
Next season incidents
“Within 3 minutes we knew the exact bottleneck. The YAML topology took 20 minutes to write. Total time from zero to action plan: one afternoon.”
A 30-person SaaS startup needed to demonstrate DORA compliance to enterprise prospects but had no dedicated SRE team or formal testing process.
Used FaultRay's DORA report export (Pro plan) to generate a PDF compliance snapshot from their simulated topology — no infrastructure changes required.
82% (Partial → Partial+)
DORA score achieved
3 in Q1
Enterprise deals unblocked
45 minutes
Setup time
$0 (no new infra)
Engineering cost
“Our enterprise prospects asked for resilience documentation. FaultRay let us generate a credible report before we even had a dedicated SRE.”
Simulation results are generated using N-Layer availability modeling, Monte Carlo simulation (10,000+ iterations per topology), and Markov chain analysis. The mathematical framework is grounded in:
Case study metrics represent anonymized, composite examples from beta program participants. Formal case studies with named customers available upon request.
Join teams who use FaultRay to get math-backed availability proofs in under an hour.