Buenas prácticas de instrumentación manual
Comprenda cuándo y cómo aplicar instrumentación manual para obtener un control detallado de sus datos de observabilidad. Aprenda a enriquecer las trazas con atributos personalizados.
Buenas prácticas de instrumentación manual es una lección gratuita de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) en CoddyKit. Esta es la lección 2 de 4. Puedes leer la lección completa abajo gratuitamente — luego la practicas en el navegador con un editor de código integrado y un tutor de IA 24/7. Forma parte de la ruta de aprendizaje de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry), y tu progreso se sincroniza en la web y la app de CoddyKit. El curso de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) incluye 4 lecciones en total.
Partes de esta lección aún no han sido traducidas y se muestran en inglés.
Manual Instrumentation Intro
Welcome! In this lesson, we'll dive into manual instrumentation with OpenTelemetry. While auto-instrumentation is great for quick wins, manual control gives you precision.
Manual instrumentation allows you to record highly specific details about your application's internal operations. This is crucial for debugging complex business logic or custom components.
Why Manual Over Auto?
Auto-instrumentation automatically collects data from common libraries and frameworks. However, it can't know your unique application logic.
- Custom Logic: Instrument specific functions or blocks of code.
- Business Context: Add attributes relevant to your business domain.
- Fine-Grained Control: Define exact span boundaries and relationships.
- Missing Coverage: Cover areas where auto-instrumentation doesn't reach.
Creating Your First Span
A span represents a single operation within a trace. To create one manually, you need a Tracer, which is obtained from the OpenTelemetry SDK.
Here's how to start a new span. Remember to always end your spans!
import io.opentelemetry.api.trace.Span;
import io.opentelemetry.api.trace.Tracer;
import io.opentelemetry.api.trace.SpanBuilder;
import io.opentelemetry.api.OpenTelemetry;
import io.opentelemetry.sdk.OpenTelemetrySdk;
import io.opentelemetry.sdk.trace.SdkTracerProvider;
public class ManualSpanDemo {
public static void main(String[] args) {
// Setup OpenTelemetry SDK (simplified for demo)
SdkTracerProvider sdkTracerProvider = SdkTracerProvider.builder().build();
OpenTelemetry openTelemetry = OpenTelemetrySdk.builder()
.setTracerProvider(sdkTracerProvider)
.buildAndRegisterGlobal();
Tracer tracer = openTelemetry.getTracer("my-app", "1.0.0");
// Start a new span
Span span = tracer.spanBuilder("MyCustomOperation").startSpan();
try {
System.out.println("Executing custom operation...");
// Simulate work
Thread.sleep(100);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
// Always end the span!
span.end();
System.out.println("Span ended.");
}
}
}Activating Spans with Scope
For a span to be part of the current trace context (and for child spans to automatically link to it), it needs to be active. The best way to manage this is using a Scope with a try-with-resources statement.
This ensures the span is automatically set as active and ended when the block exits.
import io.opentelemetry.api.trace.Span;
import io.opentelemetry.api.trace.Tracer;
import io.opentelemetry.api.trace.Scope;
import io.opentelemetry.api.OpenTelemetry;
import io.opentelemetry.sdk.OpenTelemetrySdk;
import io.opentelemetry.sdk.trace.SdkTracerProvider;
public class ActiveSpanDemo {
public static void main(String[] args) {
SdkTracerProvider sdkTracerProvider = SdkTracerProvider.builder().build();
OpenTelemetry openTelemetry = OpenTelemetrySdk.builder()
.setTracerProvider(sdkTracerProvider)
.buildAndRegisterGlobal();
Tracer tracer = openTelemetry.getTracer("my-app", "1.0.0");
Span parentSpan = tracer.spanBuilder("ParentOperation").startSpan();
try (Scope parentScope = parentSpan.makeCurrent()) { // Parent span is active
System.out.println("Parent operation started.");
Span childSpan = tracer.spanBuilder("ChildOperation").startSpan(); // Automatically links to parent
try (Scope childScope = childSpan.makeCurrent()) {
System.out.println("Child operation executing...");
Thread.sleep(50);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
childSpan.end();
System.out.println("Child operation ended.");
}
Thread.sleep(50);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
parentSpan.end();
System.out.println("Parent operation ended.");
}
}
}Adding Custom Attributes
Attributes are key-value pairs that provide contextual information about a span. They are vital for making your traces searchable and understandable.
You can add attributes to a span using span.setAttribute(). Use descriptive keys and relevant values.
import io.opentelemetry.api.trace.Span;
import io.opentelemetry.api.trace.Tracer;
import io.opentelemetry.api.trace.Scope;
import io.opentelemetry.api.common.AttributeKey;
import io.opentelemetry.api.OpenTelemetry;
import io.opentelemetry.sdk.OpenTelemetrySdk;
import io.opentelemetry.sdk.trace.SdkTracerProvider;
public class SpanAttributesDemo {
public static void main(String[] args) {
SdkTracerProvider sdkTracerProvider = SdkTracerProvider.builder().build();
OpenTelemetry openTelemetry = OpenTelemetrySdk.builder()
.setTracerProvider(sdkTracerProvider)
.buildAndRegisterGlobal();
Tracer tracer = openTelemetry.getTracer("my-app", "1.0.0");
Span span = tracer.spanBuilder("ProcessOrder").startSpan();
try (Scope scope = span.makeCurrent()) {
System.out.println("Processing order...");
// Add attributes for order details
span.setAttribute("order.id", "XYZ789");
span.setAttribute("customer.email", "user@example.com");
span.setAttribute(AttributeKey.longKey("item.count"), 3L);
Thread.sleep(150);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
span.end();
System.out.println("Order processed. Span ended with attributes.");
}
}
}Recording Span Events
Events are timestamped messages associated with a span. They are useful for marking significant moments or logging specific actions that occur during the span's lifetime, without creating new child spans.
Think of them as mini-logs within your trace, adding more detail to a specific operation.
import io.opentelemetry.api.trace.Span;
import io.opentelemetry.api.trace.Tracer;
import io.opentelemetry.api.trace.Scope;
import io.opentelemetry.api.common.Attributes;
import io.opentelemetry.api.common.AttributeKey;
import io.opentelemetry.api.OpenTelemetry;
import io.opentelemetry.sdk.OpenTelemetrySdk;
import io.opentelemetry.sdk.trace.SdkTracerProvider;
public class SpanEventsDemo {
public static void main(String[] args) {
SdkTracerProvider sdkTracerProvider = SdkTracerProvider.builder().build();
OpenTelemetry openTelemetry = OpenTelemetrySdk.builder()
.setTracerProvider(sdkTracerProvider)
.buildAndRegisterGlobal();
Tracer tracer = openTelemetry.getTracer("my-app", "1.0.0");
Span span = tracer.spanBuilder("UserLogin").startSpan();
try (Scope scope = span.makeCurrent()) {
System.out.println("User login initiated...");
span.addEvent("AuthenticationStarted");
Thread.sleep(80);
// Add an event with attributes
span.addEvent("DatabaseCheck", Attributes.of(
AttributeKey.stringKey("db.query"), "SELECT * FROM users WHERE id=?"
));
Thread.sleep(70);
span.addEvent("AuthenticationSuccessful");
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
span.end();
System.out.println("User login span ended with events.");
}
}
}Handling Errors in Spans
It's crucial to mark spans as failed when an error occurs. This helps quickly identify problematic operations in your system.
You can set a span's status to ERROR and record the exception that caused the failure. This provides rich context for debugging.
import io.opentelemetry.api.trace.Span;
import io.opentelemetry.api.trace.Tracer;
import io.opentelemetry.api.trace.StatusCode;
import io.opentelemetry.api.trace.Scope;
import io.opentelemetry.api.OpenTelemetry;
import io.opentelemetry.sdk.OpenTelemetrySdk;
import io.opentelemetry.sdk.trace.SdkTracerProvider;
public class SpanErrorDemo {
public static void main(String[] args) {
SdkTracerProvider sdkTracerProvider = SdkTracerProvider.builder().build();
OpenTelemetry openTelemetry = OpenTelemetrySdk.builder()
.setTracerProvider(sdkTracerProvider)
.buildAndRegisterGlobal();
Tracer tracer = openTelemetry.getTracer("my-app", "1.0.0");
Span span = tracer.spanBuilder("CriticalFunction").startSpan();
try (Scope scope = span.makeCurrent()) {
System.out.println("Executing critical function...");
// Simulate an error condition
if (Math.random() > 0.5) {
throw new RuntimeException("Simulated critical failure!");
}
System.out.println("Critical function completed successfully.");
} catch (Exception e) {
System.out.println("Error caught: " + e.getMessage());
span.setStatus(StatusCode.ERROR, "Function failed");
span.recordException(e);
} finally {
span.end();
System.out.println("Critical function span ended.");
}
}
}Best Practices for Spans
To get the most out of manual instrumentation, follow these guidelines:
- Granularity: Create spans for meaningful units of work, not every single line of code.
- Meaningful Names: Use clear, low-cardinality names (e.g.,
user.login,db.query). - Rich Attributes: Add relevant business and technical context as attributes.
- Always End Spans: Use
try-with-resourcesor explicitspan.end()in afinallyblock. - Avoid Over-instrumentation: Too many spans can add overhead. Focus on critical paths.
Linking Spans Explicitly
While makeCurrent() handles most parent-child linking, sometimes you need to explicitly link spans. This is common in asynchronous scenarios or when integrating with non-instrumented systems.
You can use SpanBuilder.setParent() or setNoParent() to control the parent-child relationship.
import io.opentelemetry.api.trace.Span;
import io.opentelemetry.api.trace.Tracer;
import io.opentelemetry.api.trace.SpanContext;
import io.opentelemetry.api.trace.SpanKind;
import io.opentelemetry.api.trace.TraceFlags;
import io.opentelemetry.api.trace.TraceState;
import io.opentelemetry.context.Context;
import io.opentelemetry.api.OpenTelemetry;
import io.opentelemetry.sdk.OpenTelemetrySdk;
import io.opentelemetry.sdk.trace.SdkTracerProvider;
public class ExplicitLinkDemo {
public static void main(String[] args) {
SdkTracerProvider sdkTracerProvider = SdkTracerProvider.builder().build();
OpenTelemetry openTelemetry = OpenTelemetrySdk.builder()
.setTracerProvider(sdkTracerProvider)
.buildAndRegisterGlobal();
Tracer tracer = openTelemetry.getTracer("my-app", "1.0.0");
// Imagine a span from an external system, represented by its context
SpanContext externalContext = SpanContext.create(
"1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d", // Trace ID
"0000000000000001", // Span ID
TraceFlags.getDefault(), TraceState.getDefault()
);
// Create a new span that links to this external context
Span linkedSpan = tracer.spanBuilder("ProcessingExternalMessage")
.setParent(Context.current().with(Span.wrap(externalContext))) // Link to external context
.setSpanKind(SpanKind.CONSUMER) // Indicate it's a message consumer
.startSpan();
try {
System.out.println("Processing message from external system...");
linkedSpan.setAttribute("message.id", "MSG-123");
Thread.sleep(100);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
linkedSpan.end();
System.out.println("Linked span ended.");
}
}
}Manual Instrumentation Check
You're implementing a new feature that calculates a user's loyalty points. You want to instrument this specific calculation to track its duration and the final points awarded. Which of the following is the most appropriate way to record the final points using manual OpenTelemetry instrumentation?
Recap: Manual Control
In this lesson, we explored manual instrumentation with OpenTelemetry. You learned:
- When to choose manual over auto-instrumentation for fine-grained control.
- How to create, activate, and end spans.
- The power of attributes for adding rich context to your traces.
- How to use events to mark specific moments within a span.
- Best practices for handling errors and linking spans explicitly.
Mastering manual instrumentation gives you unparalleled visibility into your application's unique logic and performance.
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- Cursos
- 12
- Lecciones
- 48
Preguntas frecuentes
¿La lección «Buenas prácticas de instrumentación manual» es gratis?
Sí — el texto completo de «Buenas prácticas de instrumentación manual» es gratis para leer aquí en la web. Para practicarla de forma interactiva (editor de código integrado y tutor de IA 24/7) y desbloquear el resto del curso de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry), actualiza a CoddyKit PRO. El curso de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) incluye 4 lecciones en total.
¿Qué aprenderé en «Buenas prácticas de instrumentación manual»?
Comprenda cuándo y cómo aplicar instrumentación manual para obtener un control detallado de sus datos de observabilidad. Aprenda a enriquecer las trazas con atributos personalizados. Practicas System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) con código real que ejecutas directamente en el navegador, y un tutor de IA 24/7 responde tus preguntas mientras trabajas en la lección.
¿Necesito experiencia previa para empezar System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry)?
No se requiere experiencia previa. System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) en CoddyKit está estructurado para principiantes hasta estudiantes avanzados, así que puedes empezar aquí o desde el inicio y avanzar a tu ritmo. Esta es la lección 2 de 4.
¿Cuánto tiempo toma la lección «Buenas prácticas de instrumentación manual»?
La mayoría de las lecciones de CoddyKit toman alrededor de 5–10 minutos. Cada una es compacta e interactiva, así que avanzas constantemente y retomas exactamente por donde dejaste en la web y la app.
¿Puedo escribir y ejecutar código en esta lección de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry)?
Sí. Cada lección de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) incluye un editor de código integrado, así que escribes y ejecutas código real directamente en tu navegador y obtienes retroalimentación instantánea de IA — sin configuración local necesaria.
Todas las lecciones de este curso
- Técnicas de auto-instrumentación
- Buenas prácticas de instrumentación manual
- Propagación de contexto y baggage
- Atributos, eventos y estado de spans