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Mastering Distributed Observability in Rust

Mastering Distributed Observability in Rust

By : Manjunath Gangappa, Rajkumar Rangaraj
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Mastering Distributed Observability in Rust

Mastering Distributed Observability in Rust

By: Manjunath Gangappa, Rajkumar Rangaraj

Overview of this book

Gain the skills to build, monitor, and debug distributed systems in Rust with this hands-on guide to observability using OpenTelemetry. As Rust adoption grows in backend services, developers face fragmented documentation and limited tooling for telemetry. This book fills that gap by presenting a unified, end-to-end solution to implement distributed observability in modern Rust systems. You’ll explore the foundations of observability and Rust’s ownership model before learning how to collect, export, and correlate logs, metrics, and traces. Discover how to instrument applications using OpenTelemetry crates and bridge them with the tracing ecosystem. Learn to deploy the OpenTelemetry Collector, integrate with Prometheus, Grafana, and Jaeger, and tackle challenges like sampling, context propagation, and async tracing. Written by two seasoned engineers with over 35 years of combined experience in large-scale systems and open-source observability leadership, this book balances theory with real-world implementations. From debugging async bottlenecks to configuring cost-effective telemetry pipelines, you’ll finish with the confidence to operate reliable, observable Rust systems at scale.
Table of Contents (23 chapters)
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Lock Free Chapter
1
Part 1: Foundation
5
Part 2: Instrumentation
10
Part 3: Advanced Observability
14
Part 4: Real-World Problems
18
Part 5: AI-Augmented Observability
21
Other Books You May Enjoy
22
Index

Introduction

Software systems today are no longer confined to a single process or a single machine. A single user action like clicking "Buy Now" can cascade through dozens of services, threads, APIs, and databases. Each layer introduces latency, dependencies, and failure points.

When something goes wrong, the question seems simple: What happened? But in distributed systems, that answer is fragmented. One microservice may succeed while another fails silently or retries in the background. Logs from different services don't align. Each service recorded only its own small truth, unaware of the bigger picture.

This is where observability becomes essential.

In this chapter, we'll walk through a real-world e-commerce system to understand why traditional monitoring falls short and how traces, logs, and metrics reveal what distributed systems are doing. You will see why OpenTelemetry has become the foundation for cross-language observability and begin to understand what an...

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