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Backend Architecture

Production-ready Spring Boot and Kotlin patterns. Event sourcing, CQRS, microservices, reactive programming, and database optimization.

01

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.

13 min read Spring Boot Kotlin Production Blockchain
03

Implementing Backend-for-Frontend (BFF) Pattern with Spring

Draft

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.

04

Spring WebFlux for Reactive Blockchain Applications

Draft

Building reactive, non-blocking blockchain services with Spring WebFlux, covering backpressure, streaming APIs, and integration with reactive databases.

05

Event-Driven Architecture with Spring Cloud Stream and Kafka

Draft

Implementing event-driven blockchain data pipelines, covering Kafka integration, stream processing, and exactly-once semantics for transaction processing.

06

Spring Security for Blockchain APIs: JWT and OAuth2

Draft

Securing blockchain APIs with Spring Security, covering JWT authentication, OAuth2 authorization, and role-based access control for wallet and custody services.

07

Distributed Tracing in Microservices with Spring Cloud Sleuth

Draft

Implementing observability for blockchain microservices, covering distributed tracing, correlation IDs, and integration with Zipkin/Jaeger.

08

Circuit Breakers and Resilience Patterns with Resilience4j

Draft

Building resilient blockchain services with circuit breakers, retry policies, and bulkheads. Covers handling external blockchain node failures and API rate limits.

09

Kotlin Coroutines for Asynchronous Blockchain Processing

Draft

Mastering Kotlin coroutines for blockchain applications, covering structured concurrency, flow APIs, and integration with Spring WebFlux.

10

Domain-Driven Design with Kotlin for Blockchain Applications

Draft

Implementing DDD patterns in Kotlin, covering aggregates, value objects, and domain events for modeling blockchain entities like transactions and blocks.

11

Functional Programming Patterns in Kotlin for Blockchain

Draft

Leveraging Kotlin's functional features for blockchain development, covering immutability, pure functions, and algebraic data types for transaction processing.

12

Kotlin Multiplatform for Blockchain Libraries

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Building cross-platform blockchain libraries with Kotlin Multiplatform, covering shared cryptographic primitives, transaction builders, and platform-specific integrations.

13

Type-Safe Blockchain APIs with Kotlin and Arrow

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Using Arrow library for functional error handling and type-safe blockchain APIs, covering Either, Validated, and effect systems.

14

Testing Blockchain Applications with Kotlin: Unit to Integration

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Comprehensive testing strategies for Kotlin blockchain applications, covering MockK, Kotest, and testcontainers for database and blockchain node testing.

15

Performance Optimization in Kotlin for High-Throughput Indexers

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Optimizing Kotlin code for blockchain indexing performance, covering memory management, collection optimization, and profiling techniques. Based on experience resolving BSC indexer bottlenecks.

16

PostgreSQL for Blockchain Data: Schema Design and Optimization

Draft

Designing efficient PostgreSQL schemas for blockchain data, covering partitioning strategies, indexing patterns, and query optimization for transaction history.

17

Implementing Double-Entry Ledger Systems with Spring Data JPA

Draft

Building banking-grade ledger systems for digital assets, covering ACID transactions, immutable audit trails, and reconciliation patterns. Based on real-world ledger integration experience.

18

NoSQL vs SQL for Blockchain Indexing: When to Use Each

Draft

Comparative analysis of database choices for blockchain applications, covering PostgreSQL, MongoDB, and Cassandra trade-offs for different use cases.

19

Optimizing Database Performance for Blockchain Queries

Draft

Advanced database optimization techniques, covering query planning, index strategies, materialized views, and caching patterns for blockchain explorers.

20

Event Sourcing and CQRS for Blockchain Applications

Draft

Implementing event sourcing patterns for blockchain data, covering event stores, projections, and command-query separation for scalable read models.

21

Time-Series Data Management for Blockchain Analytics

Draft

Storing and querying time-series blockchain data, covering TimescaleDB, aggregation strategies, and real-time analytics dashboards.

22

Database Migration Strategies for Production Blockchain Systems

Draft

Safe database schema evolution for blockchain applications, covering Flyway, Liquibase, zero-downtime migrations, and rollback strategies.