Scale your data platform without scaling complexity.
Stratorys is a specialized consulting contractor for data platform internals. We combine architecture decisions and hands-on implementation to improve latency, reliability, and cost with Rust, PostgreSQL, DataFusion, and ClickHouse.
Typical first response within 1 business day.
KPIs tracked on every engagement
Latency
response speed on production-critical data paths
Reliability
incident load, alert quality, and MTTR for data workloads
Cost
compute and storage spend per workload value
Two offers, one clear path
10-Day Data Platform Diagnostic
A fixed-fee diagnosis that maps bottlenecks, failure risks, and execution priorities before your next scaling step.
- • Bottleneck map across query paths, pipelines, and observability coverage
- • Prioritized 90-day backlog with impact, effort, and sequencing
- • KPI baseline for latency, reliability, and infrastructure cost
Execution Retainer (3-6 months)
Hands-on delivery on the highest-leverage backlog items, with explicit KPI review every month.
- • 70% implementation / 30% advisory and architecture governance
- • Rust, PostgreSQL, DataFusion, and ClickHouse internals where depth matters
- • Delivery model designed for one to two anchor clients maximum
Best fit
- • Your data path is production-critical and incidents are slowing delivery.
- • Latency or cost is rising faster than product value at current scale.
- • You need a senior contractor who can both design and implement internals.
Not a fit
- • Generic staff augmentation with no KPI ownership.
- • Frontend or feature-only product delivery unrelated to data internals.
- • Full platform rewrite expectations without staged delivery.
Tool depth for data platform internals
We do not force a stack switch. We apply Rust, PostgreSQL, DataFusion, and ClickHouse where they reduce production risk and improve measurable outcomes.
Representative outcomes
Client-sensitive details are anonymized. Engagements are focused on production-critical internals.
Telemetry query bottleneck reduction
Context
Reworked observability analytics path and ClickHouse query strategy for high-cardinality events.
Outcome
Improved dashboard response time and reduced ad-hoc debugging during incidents.
Pipeline reliability hardening
Context
Restructured pipeline backpressure behavior and runtime safeguards for bursty ingest traffic.
Outcome
Lower incident frequency on ingest peaks and clearer on-call runbooks for recovery.
Custom engine execution path
Context
Implemented DataFusion-based execution components for domain-specific analytical workloads.
Outcome
Faster iteration on query behavior without increasing platform complexity.
Latest insights
Fresh notes from delivery work on data platform internals.
Engineering for Performance: Why Stratorys Focuses on Data Platform Internals
Why we narrowed Stratorys to data platform reliability and performance consulting, and how the two-offer model works in practice.
ClickHouse Observability Patterns for Scale-Stage Teams
Patterns that keep ClickHouse-based observability useful under growth pressure without runaway complexity.
A Minimal ADR Format for Data Platform Teams
A lightweight architecture decision record format that improves execution clarity without creating documentation drag.
Production Readiness Checklist for Custom Execution Engines
A practical checklist for shipping custom execution components safely with clear ownership, observability, and rollback standards.
Need a baseline this quarter?
Start with the diagnostic. Move into a focused retainer only if the backlog and KPI targets justify it.