eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

Get started with mocking and improve your application tests using our Mockito guide:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

Get started with Spring Data JPA through the guided reference course:

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

1. Overview

When we build Spring Boot apps, we know good logging is key; it helps us observe, troubleshoot, and truly understand our application’s flow.

In this article, we’ll explore how we can achieve this separation of log levels for FILE and CONSOLE appenders using Logback, the default logging framework in Spring Boot.

2. Project Setup

Before we dive into the logging configuration itself, we need a working Spring Boot application to serve as our demonstration. Let’s walk through setting up our project.

2.1. Adding Dependency

Logback and SLF4J are Spring Boot’s default logging implementations. This holds true if we’re already using spring-boot-starter-web or any other Spring Boot starter that bundles spring-boot-starter-logging:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-web</artifactId>
</dependency>

2.2. Creating Controller

Next, we create a simple controller to generate some log messages for testing:

@RestController
public class LogController {

    private static final Logger logger = LoggerFactory.getLogger(LogController.class);

    @GetMapping("/log")
    public String generateLogs() {
        logger.trace("This is a TRACE message from controller.");
        logger.debug("This is a DEBUG message from controller.");
        logger.info("This is an INFO message from controller.");
        logger.warn("This is a WARN message from controller.");
        logger.error("This is an ERROR message from controller.");
        return "Logs generated!";
    }
}

Log levels follow a strict hierarchy: TRACE is the lowest, then DEBUG, INFO, WARN, ERROR, and FATAL. When we define a log level for an appender or a logger, we ensure only messages at that specific level and more severe ones are processed.

3. Creating a logback-spring.xml File

The core of our solution lies in the logback-spring.xml file. We just place this file in our src/main/resources directory, and Spring Boot automatically picks it up. This allows us to precisely define what we log, where those logs are stored, and with what level of detail.

3.1. Properties Tags

Let’s look into the property tags first:

<?xml version="1.0" encoding="UTF-8"?>
<configuration>
    <property name="LOGS_HOME" value="./logs"/>
    <property name="CONSOLE_LOG_PATTERN" value="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n"/>
    <property name="FILE_LOG_PATTERN" value="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n"/>
    <property name="FILE_NAME" value="my-spring-app"/>
<configuration>

These variables define common values like where our logs will go (LOGS_HOME), the format for console output (CONSOLE_LOG_PATTERN), the format for file output (FILE_LOG_PATTERN), and the base name for our log files (FILE_NAME). Using properties makes the configuration cleaner and easier to update.

3.2. Console Appender Tags

This section defines how logs are handled for our console:

<appender name="CONSOLE" class="ch.qos.logback.core.ConsoleAppender">
    <encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
        <Pattern>${CONSOLE_LOG_PATTERN}</Pattern>
    </encoder>
    <filter class="ch.qos.logback.classic.filter.ThresholdFilter">
        <level>INFO</level>
    </filter>
</appender>

For our console output, we define an appender named “CONSOLE“. It tells Logback to use its built-in ConsoleAppender for sending output directly to our standard console. Within this appender, we use an <encoder> to convert our raw log messages into a readable format. The <Pattern> tag inside this encoder applies our predefined CONSOLE_LOG_PATTERN, which ensures a consistent and easy-to-read look for all our console logs.

Critically, we then introduce a filter: <filter class=”ch.qos.logback.classic.filter.ThresholdFilter”>. This is a crucial component for controlling our log levels; when our console’s ThresholdFilter is set to INFO, we display only log messages at the INFO level or higher-meaning INFO, WARN, ERROR, and FATAL messages.

3.3. File Appender

Let’s break down each part of our file appender:

<appender name="FILE" class="ch.qos.logback.core.FileAppender">
    <file>${LOGS_HOME}/${FILE_NAME}.log</file>
    <encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
        <Pattern>${FILE_LOG_PATTERN}</Pattern>
    </encoder>
    <filter class="ch.qos.logback.classic.filter.ThresholdFilter">
        <level>DEBUG</level>
    </filter>
</appender>

For our file output, we define an appender named “FILE“, choosing ch.qos.logback.core.FileAppender as its class. This tells Logback we simply want an appender that writes all our logs to a single, continuously growing file. We specify the active log file’s exact path: <file>${LOGS_HOME}/${FILE_NAME}.log</file>. This resolves to ./logs/my-spring-app.log. Like with our console, we use an <encoder> here. It formats each log entry using our FILE_LOG_PATTERN for consistent readability.

Finally, we add a crucial <filter class=”ch.qos.logback.classic.filter.ThresholdFilter”>, which is specific to this file appender. We’ve set the threshold to DEBUG, meaning any log message at the DEBUG level or higher in severity (i.e. DEBUG, INFO, WARN, ERROR, FATAL) will be captured and written to our log files.

3.4. Root Logger

This section defines how our log messages are routed and processed within our application:

<root level="DEBUG">
    <appender-ref ref="CONSOLE"/>
    <appender-ref ref="FILE"/>
</root>

Our <root level=”DEBUG”> serves as the default, catch-all logger for our entire application; any log message generated by our Spring Boot application will eventually pass through this root logger. We’ve set its primary level to DEBUG, meaning it considers messages at DEBUG level or higher. From here, we’re telling this root logger to send all the log messages it processes to our CONSOLE and FILE appender.

It’s important to remember that our CONSOLE appender itself has its own filter set to INFO, so it will ultimately only display the logs that meet its INFO level or higher criteria. Similarly, we also send the root logger’s processed messages to our FILE appender, which we’ve set to DEBUG.

Now we can run our application and hit the localhost:8080/log endpoint to see the logs generated.

4. Conclusion

In this tutorial, we demonstrated how to configure distinct logging levels for the FILE and CONSOLE appenders within a Spring Boot application by employing Logback’s ThresholdFilter. This provides us with the flexibility to tailor our logging output to specific needs – keeping the console clean and concise for daily monitoring while retaining detailed DEBUG level information in log files for comprehensive analysis.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

Explore the eBook

Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

eBook Jackson – NPI EA – 3 (cat = Jackson)