Rust for Cloud Infrastructure, Serverless, and Edge Computing: Harnessing Rust’s Zero-Cost Abstractions for Secure, Scalable Cloud, Agile Serverless, and Low-Latency Edge - Brossura

C Miller, Luis

9798263729738: Rust for Cloud Infrastructure, Serverless, and Edge Computing: Harnessing Rust’s Zero-Cost Abstractions for Secure, Scalable Cloud, Agile Serverless, and Low-Latency Edge

Brossura

ISBN 13: 9798263729738

Casa editrice: Independently published, 2025

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Da: EUR 23,70

If you’re a Rust developer ready to deploy rock-solid systems across cloud, serverless, and the network edge, harnessing zero-cost abstractions to deliver maximum security, scale, and speed, this book is your hands-on gateway. You’ll move beyond “hello world” examples into full production patterns: multi-tenant isolation, operator-driven Kubernetes, encrypted service meshes, serverless pipelines, and sub-50 ms edge functions all written in safe, memory-leak-proof Rust.
Inside, You’ll Build and Master:
• A multi-tenant host that enforces memory safety by design, combining Rust’s ownership model with WebAssembly sandboxes (Wasmtime & WASI) to isolate untrusted workloads.
• Kubernetes operators and CRDs with kube-rs, generating type-safe API bindings and a reconciler loop that self-heals your custom resources.
• mTLS service endpoints using rustls and runtime secret rotation via Obelisk, so certificates never rest unencrypted on disk or linger in memory.
• A Rust-powered service mesh sidecar (Linkerd2-proxy) with Tower middleware for automatic mTLS, retries, and per-service telemetry.
• An architecture comparison of microservices vs. modular monoliths in Rust, learn when in-process calls win and how to extract independent services without rewriting business logic.
• High-throughput async worker pools consuming Kafka or NATS streams, complete with at-least-once delivery, partition balancing, and backpressure.
• Actor-model fault-isolation patterns (Actix and Riker) that let supervisors restart crashed components without cascading failures.
• Circuit breakers, exponential-backoff with jitter, and graceful degradation strategies to keep user flows alive when dependencies misbehave.
• Seamless FaaS functions on AWS Lambda and OpenFaaS, optimized for cold-start speed with LTO, strip, and UPX compression.
• Edge-deployed Rust Wasm modules on Cloudflare Workers and Fastly Compute@Edge, delivering sub-millisecond TLS-terminated HTTP handlers at every POP.
• Real-time ML inference pipelines in Rust using TensorFlow-rust or pure-Rust ONNX (tract), batching sensor data through spawn_blocking pools for GPU/CPU acceleration.
• Offline-first mobile and browser-based patterns with sled or SQLite, journaling user actions locally and progressively synchronizing via CRDTs or LWW conflict resolution.
• End-to-end observability: OpenTelemetry spans, Jaeger tracing, Prometheus counters and histograms, Grafana dashboards, and structured logs with tracing/log4rs.
• Chaos engineering experiments, failpoints, Kubernetes NetworkChaos, and PodChaos to validate resilience under latency spikes, resource exhaustion, and process crashes.
• Full source walkthroughs: a cloud-native ToDo API service, a serverless image resizing pipeline, and an edge-deployed chat bot, complete with CI/CD, Helm charts, and GitOps patterns.
Why Choose This Guide?
• Real-world, production-grade patterns you can drop into your projects immediately.
• Deep dives into the crates, from kube-rs and tokio to rustls, wasmtime, tch-rs, and tract plus the best practices for each.
• A security-first mindset: zero-trust isolation, mTLS everywhere, encrypted key management, and panic-safe hooks.
• Proven scaling strategies: bounded channels, actor hierarchies, circuit breakers, and adaptive autoscaling on Kubernetes or AWS Lambda.
• A look ahead at upcoming Rust features, Generic Associated Types, async traits, const eval improvements that will supercharge your next cloud, serverless, or edge application.
Grab your copy today and start building systems that are secure by default, scale without compromise, and respond in milliseconds wherever your users are.