How deeply does Google Anthos in Action cover observability?

Explains proxy-based collection, monitoring destinations, dashboards, topology, and SLOs without detailing telemetry schemas or instrumentation internals.

Observability

As explained in Google Anthos in Action

Observability is the ability to understand a system's internal state from the outputs it produces, such as metrics, logs, and traces.

Observability makes a distributed system’s internal behavior visible through telemetry generated from its outputs. In Anthos Service Mesh, sidecar proxies intercept service traffic and send telemetry to Anthos Service Mesh, Google Cloud Monitoring, and Google Cloud Logging without application changes. section 4.5.2 section 15.1.6

A practical observability implementation combines:

Automatic collection: proxies capture traffic between microservices without requiring developers to instrument application code. section 4.5.2
Operational signals: integrated metrics, traffic-flow logs, and service telemetry expose service behavior and dependencies. section 4.5.2 section 15.1.6
Service-level views: dashboards provide tables of deployed services and topology maps connecting workloads, Pods, system services, and owners. section 4.5.2
Reliability evaluation: SLIs and SLOs connect observed service behavior to customer journeys and SLAs. section 4.5.2 section 15.1.6

Tracing a service dependency

After migrating applications into containers, enable Anthos Service Mesh to map connected services, inspect telemetry, view traffic flows, and identify how a dependency affects an end-to-end customer journey. Use SLOs to judge whether the observed behavior meets the service agreement. section 15.1.6

How Google Anthos in Action covers it

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Also explained in

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Effective Platform EngineeringObservability is the ability to determine and explain a software system’s internal state and usefulness from its output data.
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Secure APIsAPI observability is the ability to infer the health, behavior, and security-relevant activity of APIs from their telemetry.
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Grokking AI ApplicationsThe capability to understand an application's internal behavior from its outputs, telemetry, logs, traces, and related runtime signals.
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Cloud Observability in ActionObservability is the capability to infer and continuously discover a system’s internal state from externally available signals in order to influence that system.
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Architecting an Apache Iceberg LakehouseObservability is the capability to infer a system's internal behavior and resource usage from its emitted telemetry and operational data.
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Generative AI in ActionObservability is the practice of monitoring, logging, and tracing a system to understand its internal behavior and diagnose problems from its outputs and operational data.
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Machine Learning Platform EngineeringObservability is the ability to infer the internal state and behavior of a deployed system from its outputs and telemetry, including application-specific information flows.
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Automating API DeliveryObservability is the ability to query and analyze instrumented system behavior to determine the causes of previously unanticipated problems.
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Troubleshooting Java, Second EditionObservability is the ability to infer a system's internal behavior from its emitted telemetry and other external outputs.
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AI Agents in Action, Second EditionObservability is the practice of inferring and diagnosing a software system's internal state from its externally emitted telemetry.
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Logs and TelemetryObservability is the ability to understand a system's internal state from externally emitted telemetry such as logs, metrics, and traces.
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Digital Twins in ActionObservability is the ability to understand a system's internal condition and behavior from its externally generated outputs and operational signals.
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AI Agents in ActionObservability is the collection and analysis of execution signals that reveal an agent system's behavior, performance, and failures.
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Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and TerraformObservability is the practice of exposing and analyzing detailed telemetry to understand a system's internal behavior from its external outputs.
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Building Distributed Applications that WorkObservability is the capability to infer the internal behavior and condition of a system from its externally emitted telemetry.

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Related concepts

trajectoryhas part · A trajectory is an ordered sequence of states, actions, events, or operations that records or describes progression through successive steps or over time.
monitoringhas part · Monitoring is the ongoing observation and measurement of a system’s behavior, state, or operational signals to assess its condition and detect changes or problems.
telemetryuses · Telemetry is automatically generated or collected operational data describing a system’s activity, state, behavior, or performance.
OpenTelemetryimplemented by · OpenTelemetry is an open, vendor-neutral observability standard and framework for instrumenting software and generating, collecting, and exporting telemetry such as traces, metrics, and logs.
performanceuses · Performance is the measurable effectiveness or operational behavior of a system under specified conditions, assessed through relevant qualities such as task results, speed, responsiveness, throughput, or resource use.
metricuses · A metric is a quantitative measure used to characterize or assess a property, condition, behavior, performance, or outcome.

This explainer was generated by Manning's knowledge graph from the text of Google Anthos in Action. The section links point to the parts of the book it draws on.