Telemetry

As explained in Platform Engineering on Kubernetes

Telemetry is automatically generated data about software and system behavior, including metrics, logs, and traces.

Telemetry is automatically generated data about software and system behavior. In distributed applications, metrics, logs, and traces reveal whether services behave correctly and meet performance expectations. section 2.4 section 2.4.5

Use telemetry to answer two operational questions:

• Is the application behaving correctly? Trace service calls and inspect application-level measures such as approved versus rejected proposals. section 2.4.5
• Is the application performing acceptably? Monitor response times and determine whether services meet their Service Level Agreements. section 2.4.5
• Centralize telemetry so teams can aggregate information, display dashboards, and reduce the cognitive load of operating distributed services. section 2.4.5

Operational dashboard

Instrument services with OpenTelemetry, send their metrics, logs, and traces to a central collection path, and use Prometheus and Grafana to build a dashboard showing approved versus rejected proposals over time. section 2.4.5

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

Use the OpenTelemetry architecture diagram to relate application agents, collectors, and exported telemetry. section 2.4.5

How Platform Engineering on Kubernetes covers it

How deep it goes

Describes metrics, logs, traces, instrumentation, centralized collection, and dashboards without detailing collector configuration.

Examples

Uses centralized service telemetry and an approved-versus-rejected proposals dashboard as concrete examples.

What it assumes

Assumes distributed-service concepts and introduces telemetry through metrics, logs, traces, instrumentation, and aggregation.

What you can do after

Operate services with OpenTelemetry instrumentation and Prometheus-Grafana dashboards for behavior and performance visibility.

How it connects

Connects observability with monitoring, tracing, OpenTelemetry, Prometheus, Grafana, dashboards, 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 EngineeringTelemetry data consists of automatically emitted records such as metrics, logs, and traces that describe software-system behavior, performance, and state.
• 

  liveBookmanning.com
  Secure APIsData and signals emitted by software about its execution, health, and behavior.
• 

  liveBookmanning.com
  Google Anthos in ActionTelemetry is automatically collected information about system or service behavior, including metrics, logs, and traces.
• 

  liveBookmanning.com
  Cloud Observability in ActionTelemetry is the process of collecting signals from sources, processing them, and ingesting them into destinations for consumption.
• 

  liveBookmanning.com
  Logs and TelemetryTelemetry data is machine-generated information about software or infrastructure behavior, including logs, metrics, and traces.
• 

  liveBookmanning.com
  Build an AI Agent (From Scratch)Operational data and signals generated by a running system and transmitted for monitoring and analysis.
• 

  liveBookmanning.com
  Architecture Modernization: Socio-technical alignment of software, strategy, and structureAn event containing measured operational data emitted by a device or system.

Compare how 8 books explain telemetry →

Related concepts

• observabilityused by · Observability is the ability to infer a system’s internal state and behavior from its externally available outputs, such as logs, metrics, and traces.
• 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.
• instrumentationproduced by · Instrumentation is the addition or activation of mechanisms in software or systems to observe, measure, or record their behavior during execution.
• monitoringincludes · 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.
• OpenTelemetryproduced 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.
• metrichas part · 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 Platform Engineering on Kubernetes. The section links point to the parts of the book it draws on.