Table of Contents The Hidden Cost of “Good Enough” CodeA Quick Reality Check – Programming Languages and EnergyLet’s see how good am I with performance analysisStep One – Exceptions as LogicStep Two – The RegExp TrapStep Three – Let the …
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Micrometer & Prometheus in Spring Boot: Kafka Burger Orders🍔📨
Learn Micrometer and Prometheus in Spring Boot by building a Kafka Burger Orders app that emits metrics. Step-by-step guide with code and takeaways.
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Boosting Kafka Latency Performance by 3x with Zing JVM and AutoMQ
Table of Contents Why is Latency so Important to Kafka?Introduction of AutoMQIntroducing Azul Zing Builds of OpenJDKPerformance Test & ExplanationTest Environment ConfigurationLatency: Taming the TailCPU Utilization: Do More with LessFuture Outlook Why is Latency so Important to Kafka? The importance …
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Spring Boot + Kafka Streams: Event Routing & Testing
Learn how to do Kafka Stream with Spring Boot! 🍃 With a city tour visits system…
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Spring Cloud Stream: Demystifying Event-Driven Architecture
Table of Contents Why Event-Driven Systems?What Are Event-Driven Systems?Key drivers:Why Now?The Architecture of Event-Driven SystemsKey BenefitsCommunication in MicroservicesPopular Message BrokersCloud-Based Messaging SystemsScaling and Fault Tolerance in Event-Driven SystemsFault Tolerance MechanismsReal-Time and Streaming DataStream Processing LibrariesChallenges of Event-Driven ArchitectureCAP Theorem and …
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Event-Driven Architecture and Change Data Capture Made Easy
Hello again! In this article (Part 1), we will discuss two common ways to build modern software systems: Event-Driven Architecture (EDA) and Change Data Capture (CDC). They serve different purposes but can work well together in some situations. we’ll explain …
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Writing a Data Orchestrator in Java
What makes Kestra unique amongst all the data orchestrators and how to leverage the power of the Java platform and its ecosystem to build a performant, scalable, and feature-rich data orchestrator.
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Building Real-Time Applications to Process Wikimedia Streams Using Kafka and Hazelcast
Learn how to build a real-time application to process Wikimedia streams using Kafka and Hazelcast.
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Starting Apache Kafka – Java Producer & Consumer (Windows 10)
Learn how to configure Kafka topics and create a Java-based Kafka Consumer and Producer, withApache Kafka v3.4 on Windows 10.
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Starting Apache Kafka on Windows 10 (Kafka v3.4)
This is part one of a two part articles series on Running Apache Kafka Server, Configuring Kafka Topics, and Creating a Kafka Consumer, as also a Kafka Producer.
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Ingesting Time-Series Events from Kafka into QuestDB
Ingest streaming time-series data from Apache Kafka into QuestDB using ILP with the Kafka Sink Connector
