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Category: java

  • Developing Aptitude and Skills for an AI-Focused Tech Career

    A career in Artificial Intelligence is dynamic and rewarding, but requires a specific blend of aptitude and learned skills. This guide outlines key areas to focus on to develop the necessary foundation for success in the AI-driven tech landscape. 1. Strengthen Your Foundational Aptitude While skills can be learned, certain inherent aptitudes can significantly accelerate Read more

  • Top Java Interview Questions and Answers

    Preparing for a Java interview requires a strong understanding of core Java concepts and principles. This comprehensive list covers several important Java interview questions with detailed answers to help you ace your interview: 1. What are the core principles of Object-Oriented Programming (OOP)? Answer: The four core principles of OOP are: 2. What is the Read more

  • Top 21 Spring Boot Interview Questions and Answers

    Spring Boot has become the de-facto standard for building modern, production-ready Java applications quickly and easily. Preparing for a Spring Boot interview requires a solid understanding of its core concepts and features. Here are 21 important interview questions with detailed answers to help you ace your interview: 1. What is Spring Boot? Answer: Spring Boot Read more

  • Monitoring Apache Kafka infrastructure using New Relic

    One can effectively monitor Apache Kafka infrastructure using New Relic through several methods: 1. Kafka On-Host Integration (Recommended for most self-managed Kafka deployments): 2. Java Agent (for monitoring Java-based Producers and Consumers): 3. OpenTelemetry (for a vendor-agnostic approach): 4. Kafka Connect New Relic Connector (for sending data from Kafka Connect to New Relic): Choosing the Read more

  • Monitoring Apache Kafka using the ELK stack

    One can effectively monitor Apache Kafka infrastructure using the ELK stack (Elasticsearch, Logstash, Kibana). Here’s a breakdown of how to achieve this: 1. Data Collection: You have a few primary ways to get Kafka-related data into your ELK stack: 2. Data Processing (Logstash – Optional but Powerful): 3. Data Storage (Elasticsearch): 4. Data Visualization and Read more

  • Building a Hilariously Insightful Image Recognition Chatbot with Spring AI

    Building a Hilariously Insightful Image Recognition Chatbot with Spring AI (and a Touch of Sass)While Spring AI’s current spotlight shines on language models, the underlying principles of integration and modularity allow us to construct fascinating applications that extend beyond text. In this article, we’ll embark on a whimsical journey to build an image recognition chatbot Read more

  • React Hooks and class components

    The introduction of React Hooks in React 16.8 marked a significant shift in how React developers manage state and side effects. Here’s a breakdown of the key differences between hooks and class components: Class Components: Hooks: Key Advantages of Hooks: Key Considerations: In essence: Hooks offer a more modern and efficient way to build React Read more

  • Redux “under the hood”

    To understand Redux “under the hood,” let’s break down its core principles and how they work together: 1. The Store: 2. Actions: 3. Reducers: 4. The Data Flow: Key Concepts: In essence: Redux provides a predictable and manageable way to handle application state by enforcing a strict data flow and relying on pure functions and Read more