Serverless / Experimental
FuncWarm
A warmup control plane for serverless environments.
Go / GCP Cloud Run / HTTP / Observability
Read case studySergey / Go backend engineer
Building reliable
systems.
Engineering
for scale.
I’m Sergey, a Go backend engineer focused on distributed systems, event-driven architecture, and cloud infrastructure.
Get in toucheventforge / system map
Follow the event.
One system. More than a happy path.
PostgreSQL1 / 5
One transaction writes the order and its outbox event. Either both commit, or neither does.
Illustrative model · select a nodeat-least-once
A small window into how I think about systems.
GoPostgreSQLKafkagRPCCloud
Scroll to the workSelected engineering work
Three perspectives on backend engineering: an experiment, a learning system, and professional practice.
Event-driven / Learning project
EventForge
An order-processing system built around delivery guarantees.
Go / PostgreSQL / Kafka / Docker
Read case studyProfessional practice / Integration
Voice / ML Platform
Backend interfaces between voice workflows and ML services.
Go / gRPC / NATS / Kafka / PostgreSQL / OpenTelemetry
Read case studyEngineering approach
Reliability is a series of decisions.
The interesting part is rarely the happy path. It’s what happens when a request times out, an event arrives twice, or a dependency becomes unavailable.
Make failure explicit.
Delivery semantics, idempotency, bounded retries. Recovery belongs in the design, not in a runbook written after an incident.
Measure before changing.
Profiles, traces, and a reproducible workload. Understand the bottleneck before choosing the optimization.
Keep the system understandable.
Small interfaces, clear ownership, and operational simplicity. A system should be easy to reason about when it matters most.
Technical focus
The tools follow the problem.
Go at the core. Clear contracts between services. Enough observability to understand what happens in between.
- Services & interfaces
- Go / REST / gRPC
- Data & messaging
- PostgreSQL / Redis / Kafka / NATS
- Infrastructure
- Docker / Linux / GCP / CI/CD
- Observability
- OpenTelemetry / Prometheus / Grafana
Professional experience
Behind the interfaces, real engineering.
Backend services for voice and ML workflows: streaming interfaces, asynchronous processing, and integrations between services.
Read about the workLet’s talk
Good systems start with a conversation.
Interested in backend engineering, distributed systems, or a thoughtful technical collaboration?
Write an emailbxmbuksss@gmail.com