Why Your Kotlin API Needs Indexes: The Theory Behind findById and Lazy Loading
Understand how indexes, Big O, and ORM optimizations transform slow APIs into high-performance systems using Kotlin and Spring Boot.
@SpringBootApplication
class TechLeadApplication {
fun main(args: Array<String>)
}
data class Developer(
val name: String = "Taylson",
val role: String = "Software Engineer"
)
// Clean Architecture ♥
// SOLID Principles
@Service @Transactional
interface MicroservicePort
suspend fun buildAsync() =
coroutineScope { }
@RestController
@RequestMapping("/api")
Software Engineer and Tech Lead focused on Kotlin, Java, and Spring Boot, with focus on microservices architecture and scalable systems. Passionate about code quality, best practices, and knowledge sharing.
10 articles and counting...
Understand how indexes, Big O, and ORM optimizations transform slow APIs into high-performance systems using Kotlin and Spring Boot.
Understand how to choose between List, Set, and Map in Kotlin based on performance, Big O complexity, and real-world use cases.
Learn to install Kubernetes locally with Minikube and make your first deployment. Essential kubectl commands and hands-o...
First post in the Kubernetes series. Learn the fundamental concepts, architecture, and why Kubernetes is essential for c...
Learn how to design clean, consistent, and intuitive REST APIs that are a joy to use. Covers naming conventions, version...
Comprehensive guide to load balancing strategies, algorithms, and implementation. Learn how to distribute traffic across...
Learn database sharding strategies to scale horizontally. Covers sharding keys, rebalancing, cross-shard queries, and re...