How deeply does Generative AI in Action cover trajectory?

Defines request-route tracking and its diagnostic purpose, without detailing tracing implementation.

Trajectory

Tracing is the technique of following a request through the operations and services involved in processing it.

Tracing follows request routes through an application to reveal bottlenecks and optimization opportunities. It is especially useful when processing spans complex architectures, models, or services. section 11.4.7

In microservice-based systems, distributed tracing helps track problems. It complements monitoring and logging as part of application observability. section 11.4.7 section 10.2.2

How Generative AI in Action covers it

liveBook manning.com

Read Generative AI in Action on liveBook Get the book at manning.com

Also explained in

liveBook manning.com

Effective Platform EngineeringTracing is the recording and analysis of request paths and spans across components of a distributed system.
liveBook manning.com

Grokking AI Algorithms, Second EditionAn episode is a complete reinforcement-learning trial consisting of the states and actions from an initial state until a terminal outcome.
liveBook manning.com

Quarkus in ActionTracing data is telemetry describing the operations and timing of requests as they pass through application components and services.
liveBook manning.com

AI Agents in Action, Second EditionAn execution history is a record of operations and attempts performed during an agent's task.
liveBook manning.com

LLMs in ProductionModel tracing is the capture of operations invoked during a model execution to construct an intermediate computational representation.
liveBook manning.com

Optimization Algorithms: AI techniques for design, planning, and control problemsA sequence of states and actions generated during an agent's interaction with an environment.
liveBook manning.com

Reinforcement Learning from Human FeedbackAn episode is a finite sequence of interaction steps experienced by an agent during one trial.
liveBook manning.com

Evolutionary Deep Learning: Genetic algorithms and neural networksAn episode is one complete trajectory of interaction between a reinforcement-learning agent and its environment, from an initial state to termination.
liveBook manning.com

AI Agents and ApplicationsExecution history is the recorded sequence of workflow decisions, transitions, and intermediate states produced during graph execution.
liveBook manning.com

Graph Neural Networks in ActionA time-ordered sequence of positions or states describing the evolution of an entity.
liveBook manning.com

Build a Reasoning Model (From Scratch)A generated response trajectory sampled from the model, treated as one complete candidate output in policy optimization.
liveBook manning.com

Build an AI Agent (From Scratch)An execution trace is a chronological record of events and intermediate activity produced during program or agent execution.
liveBook manning.com

Google Anthos in ActionA rollout is the controlled deployment of a new application or service version and its progression toward the intended state.
liveBook manning.com

gRPC Microservices in GoTracing records and correlates the path and timing of requests as they propagate through distributed components.
liveBook manning.com

100 Go Mistakes and How to Avoid ThemAn execution tracer is a diagnostic tool that records runtime events such as scheduling, synchronization, and processor activity over time.
liveBook manning.com

Machine Learning Platform EngineeringTracing is the recording and correlation of operations across a system to reveal execution paths, timings, and intermediate results.
liveBook manning.com

Platform Engineering on KubernetesTracing is the practice of recording and correlating the operations performed during a request across services and infrastructure.
liveBook manning.com

Building LLM Applications with DSPyA history of language-model calls, candidate prompts, and the model's responses.

Compare how 19 books explain trajectory →

Related concepts

spanhas part · A span is a record of an individual operation within a trace, typically including its timing, context, outcome, and relationships to other operations.
observabilitypart of · Observability is the ability to infer a system’s internal state and behavior from its externally available outputs, such as logs, metrics, and traces.
Jaegeruses · Jaeger is an open-source distributed tracing system for collecting, storing, querying, and visualizing trace data to monitor and troubleshoot distributed applications.
OpenTelemetryuses · 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.
qualityused by · Quality is the degree to which an entity, process, or outcome satisfies relevant criteria or exhibits desirable properties.

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