Kubernetes deployment configuration

Kubernetes orchestrates containerized applications at scale. Deployments manage ReplicaSets ensuring desired pod count. Services expose pods with stable endpoints. ConfigMaps externalize configuration. Secrets store sensitive data. Resource limits pre

Resilience with Resilience4j

Resilience4j provides resilience patterns for fault tolerance. Circuit breakers prevent cascading failures—open after threshold failures, allow retry after timeout. Rate limiters control request rates. Retry mechanisms handle transient failures. Bulkh

Aspect-Oriented Programming with AspectJ

AOP separates cross-cutting concerns from business logic. Aspects modularize logging, security, transactions, caching. @Aspect defines aspect classes. @Before, @After, @Around specify advice timing. Pointcuts select join points using expressions. @Aro

Multi-tenancy for SaaS applications

Multi-tenancy serves multiple customers (tenants) from single application instance. Schema-per-tenant isolates data in separate databases. Shared schema with tenant ID column partitions data within tables. Discriminator-based approach uses JPA filters

Event-driven architecture with Spring Events

Spring's event mechanism enables loose coupling between components. ApplicationEventPublisher publishes events. @EventListener handles events asynchronously or synchronously. Events extend ApplicationEvent or are POJOs. @TransactionalEventListener pub

Elasticsearch integration for full-text search

Elasticsearch provides powerful full-text search capabilities. Spring Data Elasticsearch offers repository abstraction similar to JPA. @Document annotates entity classes with index mapping. @Field customizes field types and analyzers. Queries use meth

WebSocket for real-time communication

WebSocket enables full-duplex communication between client and server. Spring WebSocket supports STOMP protocol over WebSocket. I configure message brokers for pub-sub messaging. @MessageMapping handles incoming messages. SimpMessagingTemplate sends m

Batch processing with Spring Batch

Spring Batch handles large-scale batch processing—ETL, data migration, report generation. Jobs contain steps; steps have readers, processors, and writers. Chunk-oriented processing reads, processes, and writes data in configurable batches. ItemReader

GraphQL API with Spring Boot

GraphQL provides flexible APIs where clients specify exact data requirements. Spring for GraphQL integrates GraphQL Java with Spring Boot. Schema-first approach defines types in .graphqls files. Resolvers map schema fields to Java methods using @Query

Feature flags for gradual rollouts

Feature flags (feature toggles) enable/disable functionality without code deployment. I use libraries like Togglz or FF4J for flag management. Flags support A/B testing, canary releases, and emergency kill switches. Strategy pattern determines flag st

Record types for immutable data

Java Records (JDK 14+) provide concise syntax for immutable data carriers. Records automatically generate constructor, getters, equals, hashCode, and toString. I use records for DTOs, value objects, and API responses. Records are final and all fields

Database migration with Flyway

Flyway manages database schema evolution through versioned SQL scripts. Migration files follow naming convention—V1__initial_schema.sql, V2__add_users_table.sql. Flyway tracks applied migrations in a schema history table. Migrations run automatically