Microservices with Axum: BUILDING DISTRIBUTED SYSTEMS IN RUST: Design service-oriented architectures with gRPC, message queues, observability, and res

By Laitan Michael

Build production Rust microservices that scale, stay fast, and fail safely.

Distributed systems are hard when APIs drift, retries fight timeouts, and debugging stops at vague logs. This book gives you a cohesive Axum based stack with Hyper, Tower, Tokio, and Tonic, then applies it across HTTP and gRPC, data, messaging, security, observability, delivery, and operations.

You get practical guidance shaped by real outages and fixes, from idempotent POST patterns and Problem JSON to OpenTelemetry pipelines, mTLS, and safe rollouts. Each topic includes code that compiles and patterns you can adopt across services.

Model stable HTTP resources, lay out routes, and version with confidenceValidate inputs, set body limits, and add predictable paging and filteringUse Problem JSON for consistent errors and actionable diagnosticsGenerate OpenAPI with Utoipa, serve Swagger UI, document auth and deprecationsCreate Rust and TypeScript clients, wire generation into CI, review schema changesDefine Protobuf services, use Prost codegen, set deadlines and metadata in TonicExpose health and reflection, support gRPC Web through a gateway or tonic webApply timeouts and budgets, retries with backoff and jitter, and safe methods onlySet concurrency limits, rate limits, admission control, circuit breaking, and load sheddingWork with Kafka, NATS JetStream, and RabbitMQ, including consumer groups and dead lettersUse Outbox and Inbox with SQLx, understand exactly once illusionsRun Postgres with SQLx pools and migrations, choose isolation, enforce idempotency by constraintCache with Redis and Redis Streams, pick TTL and eviction strategiesEvolve schemas and data safely with backward compatible migrationsSet up OpenTelemetry and OTLP, add histograms and exemplars for HTTP and gRPCBuild dashboards and alerts with RED and USE, define SLOs that guide limitsSecure with rustls TLS and mTLS, rotate certificates, add JWT, OAuth2, and browser sessionsPackage with cargo chef, multistage, and distroless, verify startup in CIGenerate SBOMs, run cargo audit, ship with semantic versioning, canary, and rollbackOperate on Kubernetes with manifests, resources and limits, probes including gRPC, HPA, and disruption budgetsIntegrate a mesh with Envoy or Linkerd, propagate identity, tune keepalives and load balancing, enforce edge rate limits and authTest with unit and property tests, integration via testcontainers for Postgres Kafka NATS RedisWrite contract tests for HTTP and gRPC with grpcurl and stable snapshotsMeasure performance with Criterion and k6, protect baselines from regressionsEngineer reliability with graceful startup and shutdown, backpressure, cancellation, hedged requests, and fault injectionAdopt a reference architecture, scaffold new services, share crates, and migrate from a monolith with strangler patterns, data moves, and messaging bridgesShip runbooks, a production readiness checklist, dashboards, and alerts with every service

This is a code heavy guide with working Rust, TOML, YAML, JSON, Protobuf, and Bash snippets that map directly to real projects.

Grab your copy today and build Rust services that hold up in production.

• Format: Paperback
• Language: English
• ISBN: B0FWX7KRVK
• ISBN13: 9798270440763
• Release Date: October 2025
• Publisher: Independently Published
• Length: 484 Pages
• Weight: 1.83 lbs.
• Dimensions: 1.0" x 7.0" x 10.0"