Edge Computing Observability
ZEDEDA Industry Talk
Challenges of monitoring distributed applications at the edge—intermittent connectivity, resource constraints, and adaptive telemetry strategies.
Watch →Senior SRE at ZEDEDA
Edge infrastructure
Open-source builder
Distributed systems
Hi, I'm Ruslan.
I build edge computing infrastructure and write about distributed systems. Previously worked on cloud platforms and HPC systems. MSc in Applied Mathematics.
- Reliability-first platform engineering
- Automation-minded, metrics-driven execution
- Side projects that turn friction into tools
Background
MSc Applied Mathematics
Numerical Methods & Optimization
Specialized in computational algorithms, parallel processing, and mathematical modeling for complex systems.
Published Research
ML-based Fault Diagnostics
Papers on machine learning applications for industrial system monitoring and predictive maintenance.
Publications →HPC with OpenMP
Technical Guide
Comprehensive guide to parallel programming covering advanced OpenMP techniques and optimization strategies.
Read →Side Projects
Tools I've built to scratch my own itch
Latest Release
GoToAppleMaps
The missing link for Apple Maps users. Migrates your Google Maps data so you don't have to manually copy-paste 500 restaurants. Features privacy-first local processing and deep integration with Apple's ecosystem.
Apple Maps Guide Decoder
Reverse-engineers Apple's proprietary Guide URL format. Because Apple won't document it, so someone had to.
View ProjectAbout
Senior SRE at ZEDEDA, building edge computing infrastructure.
My approach is simple: if you have to do it twice, automate it. With a background in Applied Mathematics, I bring analytical thinking to distributed systems—turning complexity into predictable platforms.
Outside work, I build tools that scratch my own itch. Most involve maps, because I kept needing features that didn't exist. The side projects listed above started as weekend experiments and grew from there.