Notes from inside the builds — the web, Android, backend, and API decisions that don't make it into the case study.
Discover how switching from JSON-over-HTTP REST to gRPC and Protocol Buffers optimized internal microservice communication, reduced network bandwidth, and eliminated schema-mismatch production bugs.
Discover how replacing legacy RxJava streams with Kotlin Coroutines and StateFlow reduced our asynchronous boilerplate code by 50%, eliminated lifecycle memory leaks, and simplified multi-threaded data syncs.
Discover how adopting a GraphQL gateway over legacy REST endpoints eliminated over-fetching, reduced client-side network round trips on mobile, and untangled backend API versioning headaches.
Discover how consolidating 24 distributed microservices into a single, well-structured modular monolith slashed CI/CD times, eliminated distributed debugging nightmares, and dramatically cut infrastructure expenses.
Discover why a small backend team traded the massive operational overhead of Apache Kafka for a lightweight Redis-backed queue, resulting in lower infrastructure costs, faster developer onboarding, and zero alert fatigue.
Elasticsearch is the industry standard for search, but for our 500k product catalog, the operational overhead wasn't worth it. We re‑architected with PostgreSQL full‑text search and cut our infrastructure costs by 60%.
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