PinnedEnsuring Data Consistency in Databases: Strategies, Challenges, and Best PracticesReferencing our previous discussion on Isolation LevelsJan 2Jan 2
Published inBits and PiecesDiving into the World of Reactive Microservices: Stream Patterns and Data ProcessingWelcome to the first part of our series on reactive microservices! In this series, we will explore the concepts, patterns, and bestâ¦Oct 9, 2024Oct 9, 2024
Kotlinâs New K2 Compiler: Performance Meets ExtensibilityKotlin is introducing a new compiler, K2, that offers a dual advantage: significantly faster compilation times and enhanced extensibilityâ¦Aug 26, 2023Aug 26, 2023
Published inCloud Native DailyPrometheus vs. ELK Stack: Unraveling the Battle of Monitoring and LoggingUnraveling the Battle of Monitoring and LoggingJul 4, 2023Jul 4, 2023
Published inBits and Pieces5 Essential Distributed Systems Design Patterns for Event-Driven ArchitecturesDelve into five must-know distributed systems design patterns for event-driven architectures.Jun 25, 2023A response icon1Jun 25, 2023A response icon1
Published inHyperskillBackend with Spring & Kotlin | Simplifying Basic Authentication with Spring SecurityHow to configure the Basic Authentication in a Spring Boot application using the newer and more flexible SecurityFilterChain approach.Jun 13, 2023Jun 13, 2023
Published inHyperskillWhy Kotlin is the Perfect Language for SpringIn this article, weâll examine why Kotlin is the perfect language for building Spring applications.May 3, 2023A response icon1May 3, 2023A response icon1
Stress Testing with Gatling & Kotlinâââ Part 2Master the art of performance testing using the power of Gatling and the simplicity of KotlinApr 12, 2023Apr 12, 2023
Understanding Database Isolation Levels: Balancing Concurrency and ConsistencyIsolation levels balance concurrency and consistency. Phantom, dirty, and non-repeatable reads can be reduced with proper design.Apr 9, 2023A response icon2Apr 9, 2023A response icon2