Boas práticas de instrumentação manual
Compreenda quando e como aplicar instrumentação manual para obter controle detalhado sobre seus dados de observabilidade. Aprenda a enriquecer rastreamentos com atributos personalizados.
Boas práticas de instrumentação manual é uma aula grátis de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) no CoddyKit. Esta é a aula 2 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry), e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) inclui 4 aulas no total.
Partes desta aula ainda não foram traduzidas e aparecem em inglês.
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.
Aprenda System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) com um tutor de IA — grátis
Escreva e execute código real no seu navegador, obtenha ajuda instantânea de um tutor de IA 24/7 e continue de onde parou na web ou no app.
- Cursos
- 12
- Aulas
- 48
Perguntas Frequentes
A aula “Boas práticas de instrumentação manual” é grátis?
Sim — o texto completo de “Boas práticas de instrumentação manual” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry), atualize para CoddyKit PRO. O curso de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) inclui 4 aulas no total.
O que vou aprender em “Boas práticas de instrumentação manual”?
Compreenda quando e como aplicar instrumentação manual para obter controle detalhado sobre seus dados de observabilidade. Aprenda a enriquecer rastreamentos com atributos personalizados. Você pratica System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.
Preciso ter experiência prévia para começar System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry)?
Nenhuma experiência prévia é necessária. System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 2 de 4.
Quanto tempo leva a aula “Boas práticas de instrumentação manual”?
A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.
Posso escrever e executar código nesta aula de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry)?
Sim. Cada aula de System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.
Todas as aulas deste curso
- Técnicas de instrumentação automática
- Boas práticas de instrumentação manual
- Propagação de contexto e bagagem
- Atributos, eventos e status de intervalos