Trajectory

As explained in Platform Engineering on Kubernetes

Tracing is the practice of recording and correlating the operations performed during a request across services and infrastructure.

Tracing records and correlates operations during a request across services and infrastructure. It helps teams understand service behavior and performance, and find problems in distributed applications. section 2.4 section 2.4.5

Services need instrumentation to expose their internal operations and performance. OpenTelemetry provides instrumentation libraries and a collector architecture for receiving telemetry from applications. section 2.4.5

Figure 2.30 OpenTelemetry architecture and library (Source: https://opentelemetry.io/docs/)

The architecture diagram shows OpenTelemetry libraries and collector components. section 2.4.5

How Platform Engineering on Kubernetes covers it

How deep it goes

Explains service instrumentation and the OpenTelemetry collector architecture without detailing implementation steps.

Examples

Uses instrumented services sending telemetry to an OpenTelemetry collector as its architecture example.

What you can do after

Understand which services call other services or infrastructure and assess their performance.

How it connects

Connects tracing with OpenTelemetry, telemetry, metrics, logs, and service-level agreements.

liveBookmanning.com

Read Platform Engineering on Kubernetes on liveBook Get the book at manning.com

Also explained in

• 

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

  liveBookmanning.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.
• 

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

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

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

  liveBookmanning.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.
• 

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

  liveBookmanning.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.
• 

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

  liveBookmanning.com
  Generative AI in ActionTracing is the technique of following a request through the operations and services involved in processing it.
• 

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

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

  liveBookmanning.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.
• 

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

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

  liveBookmanning.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.
• 

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

  liveBookmanning.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 Platform Engineering on Kubernetes. The section links point to the parts of the book it draws on.