The article shares Google SRE veteran Minghua Ye’s insights on App Engine’s evolution, emphasizing the critical role of automatic scalability, distributed locks, service discovery, load balancing, and open‑source tools like gRPC, Protobuf, gflags, glog, and Googletest in building reliable, high‑traffic cloud services.
This article details the design and implementation of a Go‑based backend for a ride‑hailing app, covering real‑time vehicle tracking, route planning with OSRM, bandwidth‑saving UDP + ProtoBuf communication, in‑memory storage, R‑tree indexing, and the full API workflow.
This article describes how a ride‑hailing service built a memory‑based backend that animates cars on a map, covering challenges of sparse GPS updates, route planning with OSRM, protocol selection (UDP), data serialization (Protobuf), storage architecture, geospatial indexing with R‑tree, and the final API design.
This article provides a comprehensive overview of Hyperledger Fabric’s architecture, detailing its three core components, key terminology, protobuf definitions for transactions, blocks and messages, chaincode development in Go, and proposed role‑based redesign for improved scalability.
PhxRPC is a compact, 450KB RPC framework from the WeChat backend team that uses Protobuf for IDL, offers semi‑sync/async processing with Epoll‑based IO threads, provides built‑in overload protection, and includes performance benchmarks, usage instructions, and code generation details.
This case study details how a Baidu QA team diagnosed a long‑standing memory‑growth issue caused by improper use of Protocol Buffers, identified the problematic merged_data structure, applied a scoped_ptr reset fix, and validated the improvement with monitoring and unit tests.
This article details a real‑world investigation of a memory‑growth issue in a core backend service caused by improper use of Protocol Buffers, describing the symptoms, reproduction attempts, step‑by‑step root‑cause analysis, the implemented fix, and performance verification results.
This article analyzes the architectural choices behind WeChat and Momo instant‑messaging services, covering battery and traffic constraints, network reliability, the shift from XMPP to proprietary long/short connections, protocol design with protobuf, and operational strategies for scaling massive user bases.
The article explains the concept of specialized search, its service model, and detailed backend architecture considerations such as interface standards, traffic distribution, service invocation, and component reuse, illustrated with protobuf definitions and deployment diagrams.
