Architecture-first guide to Spring Boot best practices for blockchain services: configuration, health, metrics, and deployment strategies that survive real nodes and real traffic.
Production Spring Boot Applications for Blockchain
Architecture-first guide to Spring Boot best practices for blockchain services: configuration, health, metrics, and deployment strategies that survive real nodes and real traffic.
Read ArticleWhat You'll Learn
Build production-ready Spring Boot applications for blockchain infrastructure with proper configuration management, health checks, metrics, and observability. Learn how to structure your application for scalability, implement proper error handling, and deploy to production with confidence.
Designing scalable microservices for blockchain data processing, covering service boundaries, event-driven communication, and data consistency patterns.
Implementing Backend-for-Frontend (BFF) Pattern with Spring
Practical guide to BFF pattern for blockchain applications, covering API aggregation, client-specific optimization, and GraphQL integration. Based on real-world experience redesigning web app frontends.
Spring WebFlux for Reactive Blockchain Applications
Building reactive, non-blocking blockchain services with Spring WebFlux, covering backpressure, streaming APIs, and integration with reactive databases.
Event-Driven Architecture with Spring Cloud Stream and Kafka
Implementing event-driven blockchain data pipelines, covering Kafka integration, stream processing, and exactly-once semantics for transaction processing.
Spring Security for Blockchain APIs: JWT and OAuth2
Securing blockchain APIs with Spring Security, covering JWT authentication, OAuth2 authorization, and role-based access control for wallet and custody services.
Distributed Tracing in Microservices with Spring Cloud Sleuth
Implementing observability for blockchain microservices, covering distributed tracing, correlation IDs, and integration with Zipkin/Jaeger.
Circuit Breakers and Resilience Patterns with Resilience4j
Building resilient blockchain services with circuit breakers, retry policies, and bulkheads. Covers handling external blockchain node failures and API rate limits.
Kotlin Coroutines for Asynchronous Blockchain Processing
Mastering Kotlin coroutines for blockchain applications, covering structured concurrency, flow APIs, and integration with Spring WebFlux.
Domain-Driven Design with Kotlin for Blockchain Applications
Implementing DDD patterns in Kotlin, covering aggregates, value objects, and domain events for modeling blockchain entities like transactions and blocks.
Functional Programming Patterns in Kotlin for Blockchain
Leveraging Kotlin's functional features for blockchain development, covering immutability, pure functions, and algebraic data types for transaction processing.
Kotlin Multiplatform for Blockchain Libraries
Building cross-platform blockchain libraries with Kotlin Multiplatform, covering shared cryptographic primitives, transaction builders, and platform-specific integrations.
Type-Safe Blockchain APIs with Kotlin and Arrow
Using Arrow library for functional error handling and type-safe blockchain APIs, covering Either, Validated, and effect systems.
Testing Blockchain Applications with Kotlin: Unit to Integration
Comprehensive testing strategies for Kotlin blockchain applications, covering MockK, Kotest, and testcontainers for database and blockchain node testing.
Performance Optimization in Kotlin for High-Throughput Indexers
Optimizing Kotlin code for blockchain indexing performance, covering memory management, collection optimization, and profiling techniques. Based on experience resolving BSC indexer bottlenecks.
PostgreSQL for Blockchain Data: Schema Design and Optimization
Designing efficient PostgreSQL schemas for blockchain data, covering partitioning strategies, indexing patterns, and query optimization for transaction history.
Implementing Double-Entry Ledger Systems with Spring Data JPA
Building banking-grade ledger systems for digital assets, covering ACID transactions, immutable audit trails, and reconciliation patterns. Based on real-world ledger integration experience.
NoSQL vs SQL for Blockchain Indexing: When to Use Each
Comparative analysis of database choices for blockchain applications, covering PostgreSQL, MongoDB, and Cassandra trade-offs for different use cases.
Optimizing Database Performance for Blockchain Queries
Advanced database optimization techniques, covering query planning, index strategies, materialized views, and caching patterns for blockchain explorers.
Event Sourcing and CQRS for Blockchain Applications
Implementing event sourcing patterns for blockchain data, covering event stores, projections, and command-query separation for scalable read models.
Time-Series Data Management for Blockchain Analytics
Storing and querying time-series blockchain data, covering TimescaleDB, aggregation strategies, and real-time analytics dashboards.
Database Migration Strategies for Production Blockchain Systems
Safe database schema evolution for blockchain applications, covering Flyway, Liquibase, zero-downtime migrations, and rollback strategies.