About the service
I help teams turn a tangled backend into a system that confidently handles load and changes easily. I start not by promising to rewrite everything, but by studying your code and actual traffic. I identify business domains, find where the monolith can be safely cut, and draw service boundaries by meaning, not random technical lines. As a result, each service owns its data, releases at its own pace, and stops dragging the entire platform when one function suddenly becomes popular.
On the engineering side I design clean versioned APIs with understandable contracts, predictable errors, and documentation you can actually rely on. I introduce message queues to move slow work out of the request path: load spikes are absorbed, not turned into timeouts. I add caching where it actually reduces latency, not masks errors. I package everything in Docker and prepare it for orchestration: health checks, graceful shutdown, structured logs, and metrics so you see what's happening with the system in production.
During the work I keep the product alive: I transition behind feature flags, cover critical scenarios with tests, and hand over clear diagrams and instructions so your developers stay in control of the system after I'm gone. The goal is not microservices for the sake of it, but a backend that's reliable, transparent, and cheap to change. If for part of the system a monolith still makes sense, I'll say so honestly and leave that piece simple.
— Splitting into services by domain and migration plan
— REST or gRPC API design with versions and contracts
— Message queues, caching, and asynchronous processing
— Docker packaging, health checks, and observability
On the engineering side I design clean versioned APIs with understandable contracts, predictable errors, and documentation you can actually rely on. I introduce message queues to move slow work out of the request path: load spikes are absorbed, not turned into timeouts. I add caching where it actually reduces latency, not masks errors. I package everything in Docker and prepare it for orchestration: health checks, graceful shutdown, structured logs, and metrics so you see what's happening with the system in production.
During the work I keep the product alive: I transition behind feature flags, cover critical scenarios with tests, and hand over clear diagrams and instructions so your developers stay in control of the system after I'm gone. The goal is not microservices for the sake of it, but a backend that's reliable, transparent, and cheap to change. If for part of the system a monolith still makes sense, I'll say so honestly and leave that piece simple.
— Splitting into services by domain and migration plan
— REST or gRPC API design with versions and contracts
— Message queues, caching, and asynchronous processing
— Docker packaging, health checks, and observability
