Rico Fritzsche
High-Performance Architecture for Data-Heavy Systems
Your system is built, deployed, and running. But:
- APIs time out under load
- Background jobs fight with reads
- Your team spends weeks tuning queries and still hits deadlocks
- No one knows why tail latency is spiking again
Sound familiar? Then you don't need more retries. You need architectural clarity.
What I do
I help you turn fragile systems into deterministic, scalable platforms. My focus:
- O(1) APIs and projection-based query paths
- Decoupling read/write traffic at the schema level
- Optimizing geospatial systems, routing queries, and tile pipelines
- Publishing fast, compressed, versioned datasets with blue-green stability
- Reducing CPU/memory footprint with better query plans, not bigger servers
Results I've Delivered
- Reduced API response times from over 2.5s median to under 50ms p95 — even under concurrent write
- Refactored multi-handler, I/O-bound service into a single-query, read-optimized path with stable tail latency
- Delivered O(1) tile-based projection model powering hundreds of bbox queries per second, with versioned datasets and zero downtime publishes
...and many more.
Who I Work With
I help teams with high-value systems — not necessarily geospatial — where latency, load, or structural chaos is creating risk or drag.
Who gets the most value:
- Tech teams operating under real pressure: product deadlines, user scale, or internal complexity that makes the system fragile.
- Companies delivering time-sensitive or location-relevant data: logistics, public platforms, search, route planning, real-time asset visibility.
- Platforms with backend performance issues: services bound by ORM inefficiencies, deadlocks, or schema design debt.
- Product or data owners who need their service to be not just correct — but fast, stable, and measurable.
You don't need to be in the "geospatial" industry. But if you handle structured data, expose APIs, run background jobs, or stream anything to users — and performance is becoming a concern — this is for you.
If you already know your service can't scale as-is: let's talk.
Book a free 15-minute call →How I work
- Diagnose performance architecture (from query paths to code and schema)
- Isolate and explain core bottlenecks
- Design and implement targeted refactors or read-models
- Validate gains with reproducible metrics
- Transfer knowledge to your team for future-proof scaling
What you get
- Systems that respond in milliseconds, not seconds
- Scalable pipelines with predictable tails
- Measurable results that justify your infrastructure budget
- A sparring partner who's done this at scale, not just read the docs
Typical projects: Start at €2,500 for audits. Full backend redesigns are scoped based on outcomes.
Let's discuss your system's bottlenecks → Book a 15-minute callFast, reliable, explainable performance is possible — and I can help you reach it.
About me
I’ve spent over 15 years working deep in performance-critical infrastructure — fixing systems that carry the weight of production traffic, public-facing APIs, and real-time data flows. My work often begins where others hit a wall: APIs that break under load, ETL jobs that choke on scale, or backend architectures that look fine on paper but collapse in production. I’ve helped teams rebuild these cores without downtime — replacing handler chains and I/O-bound logic with fast, deterministic read paths, sometimes cutting 99th percentile latencies by 10× or more.
I've worked behind systems used by millions — and rebuilt them when they broke under pressure.
