GraphQL APIs with Spring Boot · レッスン

GraphQLの監視とトレーシング

GraphQL APIの監視とトレーシングを設定し、パフォーマンスを把握してボトルネックを特定します。

「GraphQLの監視とトレーシング」はCoddyKit上の無料GraphQL APIs with Spring Bootレッスンです。これはレッスン3/4です。下記で完全なレッスンを無料で読むことができます。その後、ブラウザ内の組み込みコードエディタと24時間対応のAIチューターでハンズオン演習できます。これはGraphQL APIs with Spring Boot学習パスの一部であり、ウェブとCoddyKitアプリ全体で進捗が同期されます。 GraphQL APIs with Spring Bootコースには全4レッスンが含まれています。

このレッスンの一部はまだ翻訳されておらず、英語で表示されています。

Why Monitor & Trace GraphQL?

When building any API, understanding its performance and health is crucial. For GraphQL, this means knowing how your resolvers perform, identifying slow queries, and spotting errors quickly.

Monitoring and tracing are essential tools for maintaining a robust and efficient GraphQL API.

Monitoring vs. Tracing

While often used together, monitoring and tracing serve different purposes:

Monitoring: Gathers high-level metrics (e.g., total requests, error rates, average response times) over time to observe system health. It tells you what is happening.
Tracing: Follows a single request as it propagates through your system, showing the sequence of operations, their duration, and dependencies. It tells you why something is happening.

Essential GraphQL Metrics

For GraphQL, specific metrics give deeper insights:

Request Count: Total number of GraphQL operations.
Error Rates: Percentage of failed queries or mutations.
Latency: Response time for different operations (queries, mutations) and even individual fields.
Cache Hit/Miss: If you use caching, this shows its effectiveness.

These help pinpoint performance bottlenecks.

Basic Monitoring with Actuator

Spring Boot Actuator provides production-ready features for monitoring your application. It exposes various endpoints to gather health information, metrics, and more.

To enable it, add the spring-boot-starter-actuator dependency.

<!-- pom.xml snippet -->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>

Viewing Actuator Metrics

Once Actuator is enabled, you can access basic application metrics. Let's run a simple app and check its health endpoint.

By default, metrics are available at /actuator/metrics.

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class ActuatorApp {
  public static void main(String[] args) {
    SpringApplication.run(ActuatorApp.class, args);
  }
}

What is Distributed Tracing?

In modern microservice architectures, a single request might pass through many services. If a request is slow, it's hard to tell which service is the culprit.

Distributed tracing solves this by assigning a unique ID to each request and tracking its journey across all services, creating a 'trace' of the entire operation.

Tracing Tools: OpenTelemetry & Sleuth

Two popular frameworks for distributed tracing are:

OpenTelemetry: An industry-standard, vendor-neutral API and SDK for instrumenting applications. It collects traces, metrics, and logs.
Spring Cloud Sleuth: A Spring-native solution that integrates with OpenTelemetry (or previously OpenTracing/Zipkin) to automatically instrument Spring applications, propagating trace IDs across service calls.

Integrate Spring Cloud Sleuth

To add tracing capabilities to your Spring Boot GraphQL application, you can integrate Spring Cloud Sleuth. It automatically adds tracing information to your logs and HTTP headers.

You'll also need a tracing backend like Zipkin to visualize the traces.

<!-- pom.xml snippet -->
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-sleuth</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-sleuth-zipkin</artifactId>
</dependency>

Tracing GraphQL Resolvers

With Spring Cloud Sleuth integrated, many Spring components, including GraphQL resolvers, are automatically instrumented. This means trace IDs are added to logs and propagated through your application.

When a GraphQL query hits your resolver, Sleuth will capture its execution as part of a trace.

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.graphql.data.method.annotation.QueryMapping;
import org.springframework.stereotype.Controller;

@SpringBootApplication
public class TracingGraphQLApp {
  public static void main(String[] args) {
    SpringApplication.run(TracingGraphQLApp.class, args);
  }
}

@Controller
class BookController {
  @QueryMapping
  public String helloBook() {
    // Sleuth automatically traces this method call
    return "Hello GraphQL Tracing!";
  }
}

Tracing Concepts Check

Which of the following best describes the primary purpose of distributed tracing in a microservice architecture?

Recap: Monitoring & Tracing

We've explored how monitoring and tracing are vital for understanding your GraphQL API's performance.

Monitoring tracks system-wide health with metrics like latency and error rates.
Tracing follows individual requests through distributed systems to find bottlenecks.
Spring Boot Actuator offers basic monitoring capabilities.
Spring Cloud Sleuth helps implement distributed tracing, automatically instrumenting your Spring application and integrating with tools like Zipkin for visualization.

These techniques provide deep insights, enabling you to optimize and maintain high-performing GraphQL services.

よくある質問

「GraphQLの監視とトレーシング」レッスンは無料ですか？

はい。「GraphQLの監視とトレーシング」の完全なテキストはこのウェブで無料で読めます。インタラクティブに演習し（組み込みコードエディタと24時間対応のAIチューター）、GraphQL APIs with Spring Bootコースの残りをアンロックするには、CoddyKit PROにアップグレードしてください。 GraphQL APIs with Spring Bootコースには全4レッスンが含まれています。

「GraphQLの監視とトレーシング」で何を学びますか？

GraphQL APIの監視とトレーシングを設定し、パフォーマンスを把握してボトルネックを特定します。ブラウザで直接実行するハンズオンコードでGraphQL APIs with Spring Bootを演習し、24時間対応のAIチューターがレッスンを進める中での質問に答えます。

GraphQL APIs with Spring Bootを始めるのに経験は必要ですか？

事前経験は必要ありません。CoddyKitのGraphQL APIs with Spring Bootは初級者から上級者向けに構成されているため、ここから始めるか最初から始めて、自分のペースで進むことができます。これはレッスン3/4です。

「GraphQLの監視とトレーシング」レッスンにはどのくらい時間がかかりますか？

ほとんどのCoddyKitレッスンは約5～10分かかります。各レッスンはコンパクトでインタラクティブなので、着実に進歩し、ウェブとアプリ全体で正確に前回の場所から再開できます。

このGraphQL APIs with Spring Bootレッスンでコードを書いて実行できますか？

はい。すべてのGraphQL APIs with Spring Bootレッスンに組み込みコードエディタが含まれているため、ブラウザでリアルコードを書いて実行し、即座のAIフィードバックを取得できます。ローカル設定は不要です。

このコースのすべてのレッスン

← GraphQL APIs with Spring Bootに戻る