https://blog.devops-monk.com/tags/configuration/Recent content in Configuration on Devops MonkHugoen-usMon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-kafka/consumer-bean-configuration/Mon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-kafka/consumer-bean-configuration/Why @Bean Configuration? application.properties covers the common cases. But real applications need multiple listener factories — one for orders with manual acknowledgment and concurrency 3, another for analytics events with batch listening and different deserializers. @Bean configuration gives you a factory per use case, full IDE support, and the ability to wire in custom components like error handlers and interceptors. The Factory Relationship flowchart TD CF["ConsumerFactory\n(connection + deserialization config)"] LCF["ConcurrentKafkaListenerContainerFactory\n(container behaviour config)"https://blog.devops-monk.com/tutorials/spring-kafka/producer-bean-configuration/Mon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-kafka/producer-bean-configuration/Why @Bean Configuration? application.properties is convenient for a single producer, but insufficient when you need: Multiple producers with different serializers (e.g. one for JSON events, one for Avro) Different settings per environment built at runtime (not just property substitution) Producers sending to different clusters (e.g. primary + DR cluster) Programmatic validation of configuration at startup flowchart TB subgraph PropertiesApproach["application.properties Approach"] P1["Single producer config\nspring.kafka.producer.*\n✓ Simple\n✗ One producer only\n✗ No runtime logic"] end subgraph BeanApproach["https://blog.devops-monk.com/tutorials/spring-boot/spring-boot-configuration-profiles/Sun, 03 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-boot/spring-boot-configuration-profiles/Every real application needs different configuration for different environments — a local database for dev, a connection pool for staging, a secret manager for prod. This article covers everything Spring Boot gives you to handle this cleanly. application.properties vs application.yml Spring Boot reads configuration from src/main/resources/application.properties (or .yml) by default. Both formats express the same thing: application.properties: server.port=8080 spring.datasource.url=jdbc:postgresql://localhost:5432/orders spring.datasource.username=app spring.datasource.password=secret spring.jpa.show-sql=false application.yml: server: port: 8080 spring: datasource: url: jdbc:postgresql://localhost:5432/orders username: app password: secret jpa: show-sql: false YAML is generally preferred for nested properties — it’s less repetitive.https://blog.devops-monk.com/tutorials/spring-boot/spring-boot-configuration-properties/Sun, 03 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-boot/spring-boot-configuration-properties/@ConfigurationProperties binds external configuration to a typed Java class — replacing scattered @Value annotations with a single, validated, testable object. Why @ConfigurationProperties Over @Value // @Value — scattered, no type safety, no validation @Service public class PaymentService { @Value("${payment.gateway.url}") private String gatewayUrl; @Value("${payment.gateway.timeout:5000}") private int timeoutMs; @Value("${payment.gateway.api-key}") private String apiKey; @Value("${payment.gateway.max-retries:3}") private int maxRetries; } // @ConfigurationProperties — one place, typed, validated @Service public class PaymentService { private final PaymentProperties properties; // all config in one place, injected as a single object } @ConfigurationProperties gives you: