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{ "item_title" : "Troubleshooting Microservices", "item_author" : [" Albert V Chitwood "], "item_description" : "When a monolith fails, you get a stack trace. When a microservice fails, you get a murder mystery.In a distributed system, a single user click can trigger a fan-out of fifty downstream calls. When one of those calls drops, spikes in latency, or triggers a retry storm, traditional debugging tools are useless. Logs become disconnected noise, averages hide critical tail latency, and the root cause is rarely the service that actually crashed.Troubleshooting Microservices: Debugging Production Failures with Distributed Tracing and Observability is the definitive field manual for Site Reliability Engineers (SREs), backend developers, and systems architects who need to diagnose and resolve complex distributed outages quickly. Moving beyond basic dashboarding, this book teaches you how to correlate signals across boundaries and build a mental model for tracing failures that span dozens of services.Inside, you will learn how to: Track the Vanishing Request: Diagnose trace context propagation failures, dropped spans, and broken correlation IDs across service boundaries.Isolate Load-Dependent Latency: Distinguish queueing delays from processing delays, find the single slow downstream call in a fan-out, and investigate p99 tail latency.Halt Cascading Failures: Understand how one slow dependency takes down five others, diagnose retry storms, and analyze circuit breakers that failed to trip.Debug Async and Message Queues: Trace failures across asynchronous boundaries, investigate consumer lag, and read Dead Letter Queues (DLQs) for root causes.Uncover Hidden Database Bottlenecks: Diagnose distributed connection pool exhaustion, cache stampedes, and N+1 query patterns invisible at the service layer.Master Intermittent Failures: Correlate sparse errors, optimize sampling strategies so you don't miss rare events, and build reproducible cases from trace data alone.Stop guessing which service is the culprit. Whether you are dealing with incompatible API deployments, tracing a bad canary release, or navigating observability blind spots, this guide gives you the exact playbook to restore service health.Master the art of distributed debugging. Secure your copy today and build resilient, observable microservices.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/819/143/9798191430942_b.jpg", "price_data" : { "retail_price" : "30.99", "online_price" : "30.99", "our_price" : "30.99", "club_price" : "30.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Troubleshooting Microservices|Albert V Chitwood

Troubleshooting Microservices : Debugging Production Failures with Distributed Tracing and Observability

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Overview

When a monolith fails, you get a stack trace. When a microservice fails, you get a murder mystery.
In a distributed system, a single user click can trigger a fan-out of fifty downstream calls. When one of those calls drops, spikes in latency, or triggers a retry storm, traditional debugging tools are useless. Logs become disconnected noise, averages hide critical tail latency, and the root cause is rarely the service that actually crashed.
Troubleshooting Microservices: Debugging Production Failures with Distributed Tracing and Observability is the definitive field manual for Site Reliability Engineers (SREs), backend developers, and systems architects who need to diagnose and resolve complex distributed outages quickly. Moving beyond basic dashboarding, this book teaches you how to correlate signals across boundaries and build a mental model for tracing failures that span dozens of services.
Inside, you will learn how to:
Track the Vanishing Request: Diagnose trace context propagation failures, dropped spans, and broken correlation IDs across service boundaries.
Isolate Load-Dependent Latency: Distinguish queueing delays from processing delays, find the single slow downstream call in a fan-out, and investigate p99 tail latency.
Halt Cascading Failures: Understand how one slow dependency takes down five others, diagnose retry storms, and analyze circuit breakers that failed to trip.
Debug Async and Message Queues: Trace failures across asynchronous boundaries, investigate consumer lag, and read Dead Letter Queues (DLQs) for root causes.
Uncover Hidden Database Bottlenecks: Diagnose distributed connection pool exhaustion, cache stampedes, and N+1 query patterns invisible at the service layer.
Master Intermittent Failures: Correlate sparse errors, optimize sampling strategies so you don't miss rare events, and build reproducible cases from trace data alone.
Stop guessing which service is the culprit. Whether you are dealing with incompatible API deployments, tracing a bad canary release, or navigating observability blind spots, this guide gives you the exact playbook to restore service health.
Master the art of distributed debugging. Secure your copy today and build resilient, observable microservices.

This item is Non-Returnable

Details

  • ISBN-13: 9798191430942
  • ISBN-10: 9798191430942
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 9.61 x 6.69 x 0.38 inches
  • Shipping Weight: 0.65 pounds
  • Page Count: 180

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