Microservices with Axum: BUILDING DISTRIBUTED SYSTEMS IN RUST: Design service-oriented architectures with gRPC, message queues, observability, and resilient communication patterns
Microservices with Axum: BUILDING DISTRIBUTED SYSTEMS IN RUST: Design service-oriented architectures with gRPC, message queues, observability, and resilient communication patterns
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 ...
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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 confidence Validate inputs, set body limits, and add predictable paging and filtering Use Problem JSON for consistent errors and actionable diagnostics Generate OpenAPI with Utoipa, serve Swagger UI, document auth and deprecations Create Rust and TypeScript clients, wire generation into CI, review schema changes Define Protobuf services, use Prost codegen, set deadlines and metadata in Tonic Expose health and reflection, support gRPC Web through a gateway or tonic web Apply timeouts and budgets, retries with backoff and jitter, and safe methods only Set concurrency limits, rate limits, admission control, circuit breaking, and load shedding Work with Kafka, NATS JetStream, and RabbitMQ, including consumer groups and dead letters Use Outbox and Inbox with SQLx, understand exactly once illusions Run Postgres with SQLx pools and migrations, choose isolation, enforce idempotency by constraint Cache with Redis and Redis Streams, pick TTL and eviction strategies Evolve schemas and data safely with backward compatible migrations Set up OpenTelemetry and OTLP, add histograms and exemplars for HTTP and gRPC Build dashboards and alerts with RED and USE, define SLOs that guide limits Secure with rustls TLS and mTLS, rotate certificates, add JWT, OAuth2, and browser sessions Package with cargo chef, multistage, and distroless, verify startup in CI Generate SBOMs, run cargo audit, ship with semantic versioning, canary, and rollback Operate on Kubernetes with manifests, resources and limits, probes including gRPC, HPA, and disruption budgets Integrate a mesh with Envoy or Linkerd, propagate identity, tune keepalives and load balancing, enforce edge rate limits and auth Test with unit and property tests, integration via testcontainers for Postgres Kafka NATS Redis Write contract tests for HTTP and gRPC with grpcurl and stable snapshots Measure performance with Criterion and k6, protect baselines from regressions Engineer reliability with graceful startup and shutdown, backpressure, cancellation, hedged requests, and fault injection Adopt a reference architecture, scaffold new services, share crates, and migrate from a monolith with strangler patterns, data moves, and messaging bridges Ship 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.
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