Here is short info about post: Modern application development demands clean, maintainable, and modular code. However, concerns such as logging, security, and performance monitoring tend to spread across multiple modules, making the codebase cluttered and hard to manage. Aspect-Oriented Programming (AOP) emerges as a solution by allowing developers to separate cross-cutting concerns from business logic. In this article, we will explore how AOP simplifies application development, enhances modularity, and improves maintainability. We will also look at practical coding examples to demonstrate its effectiveness. What is Aspect-Oriented ... How Aspect-Oriented Programming (AOP) Simplifies Modern App Development By Handling Cross-Cutting Concerns

Here is short info about post: Handling sensitive data securely is crucial in modern applications. In this article, we will build a simple Spring Boot application that securely stores and retrieves sensitive information using Redis. We will cover encryption, proper configuration, and security best practices. Spring Boot is widely used for building scalable applications, and Redis is a powerful in-memory data store that provides speed and flexibility. When dealing with sensitive data such as user credentials, API keys, or personally identifiable information (PII), we must ensure ... Creating a Simple Application That Handles Sensitive Data Leveraging Spring and Redis

Here is short info about post: Tree-sitter is a powerful incremental parsing library used to analyze and manipulate source code. It is widely employed in text editors, IDEs, and developer tools to provide fast and accurate syntax tree parsing. In this article, we will explore how to use Tree-sitter in Python to build a custom tool for parsing source code and extracting call graphs. Introduction to Tree-Sitter Tree-sitter is an efficient, incremental parsing library designed to build and process syntax trees. It supports multiple programming languages ... Using The Tree-Sitter Library In Python To Build A Custom Tool For Parsing Source Code And Extracting Call Graphs

Here is short info about post: Large Language Models (LLMs) are increasingly being used to automate complex workflows. However, LLMs often require external tools and APIs to perform specialized tasks such as querying databases, sending emails, or fetching real-time data. Apache Camel, a powerful integration framework, and LangChain4j, a Java-based extension of LangChain, provide a seamless way to connect LLMs with various tools. In this article, we will explore how to integrate Apache Camel with LangChain4j to enhance LLM capabilities. We will provide step-by-step coding examples ... How To Use Apache Camel with LangChain4j To Provide Large Language Models (LLMs) With The Ability To Call Tools, Enhancing The Integration Workflows

Here is short info about post: Azure Cosmos DB now supports vector search, which allows you to perform efficient similarity searches on high-dimensional data, such as embeddings from AI models. This tutorial will guide you through enabling and using vector search in Azure Cosmos DB for NoSQL with Python, TypeScript, .NET, and Java, using a movie dataset as an example. Prerequisites Before diving into the implementation, ensure you have the following: An Azure subscription with access to Azure Cosmos DB. Azure Cosmos DB for NoSQL account. ... How To Enable And Use Vector Search In Azure Cosmos DB for NoSQL In Python, TypeScript, .NET, And Java Using A Movie Dataset

Here is short info about post: PDF files are commonly used for sharing and storing documents due to their consistent formatting and widespread compatibility. However, sometimes you may need to split a large PDF file into separate documents. This can be useful for extracting specific pages, creating individual reports, or managing document workflow. In this article, we will explore different approaches to splitting PDF files using Java. We will cover libraries such as Apache PDFBox and iText, providing comprehensive coding examples for each. By the end ... How to Split PDF Files into Separate Documents Using Java

Here is short info about post: User authentication has evolved significantly over the years, from traditional password-based systems to biometric verification and advanced AI-driven methods. With the rise of generative AI, authentication processes are becoming more secure, adaptive, and intelligent. This article explores the evolution of user authentication, the role of generative AI in improving security, and practical coding examples demonstrating its implementation. Introduction to User Authentication User authentication is the process of verifying the identity of a user accessing a system. It ensures that only ... The Evolution of User Authentication with Generative AI

Here is short info about post: AWS Lambda is a serverless computing service that allows developers to run code in response to events without provisioning or managing servers. For .NET developers, AWS provides an AWS Toolkit for Visual Studio, making it easier to deploy Lambda functions directly from the IDE. This guide will walk you through deploying an AWS Lambda function directly from Visual Studio using the AWS Toolkit, covering prerequisites, installation, creating a function, and deploying it step by step. We will also include coding ... How To Deploy Code To AWS Lambda Directly From Visual Studio Using The AWS Toolkit

Here is short info about post: Artificial Intelligence (AI) is becoming an integral part of modern applications, enhancing functionalities with features like natural language processing, machine learning predictions, and automation. Spring AI is a new project from the Spring ecosystem that simplifies AI integration in Spring Boot applications. It provides support for generative AI models, embeddings, and model inference, making it easier for developers to integrate AI-driven features into their applications. This guide will walk you through integrating AI into a Spring Boot application using Spring ... How To Integrate AI With Spring Boot App Using Spring AI

Here is short info about post: In today’s IT landscape, monitoring configuration files is essential for ensuring system security, maintaining compliance, and ensuring reliability. Changes to these files can introduce vulnerabilities, disrupt services, or violate regulatory requirements. Event-Driven Ansible (EDA) offers a powerful way to detect, respond to, and manage configuration changes. This article delves into how to implement a robust solution using EDA, complete with coding examples and best practices. Understanding Event-Driven Ansible Event-Driven Ansible is an automation framework designed to respond to real-time events ... Monitoring Configuration Files With Event-Driven Ansible To Detect Changes, Automate Responses, Ensuring Security, Compliance, And Reliability

Here is short info about post: Jenkins is a powerful tool used for automating various aspects of the development lifecycle, from code building to deployment. With its widespread use, the need for effective error handling and detection becomes paramount. One crucial method for improving error detection and resolution in Jenkins pipelines is the implementation of centralized error codes and the adoption of a fail-fast strategy. These strategies work together to streamline error management, making pipelines more robust and easier to maintain. In this article, we will ... Centralized Error Codes and a Fail-Fast Strategy Enhancing Error Detection and Resolution in Jenkins Pipelines

Here is short info about post: Logging is an integral part of modern application development, providing critical insights for debugging, monitoring, and maintaining applications. Spring Framework 6.2 and Spring Boot 3.4 bring robust logging capabilities to Java developers. This article compares structured logging and traditional logging in these frameworks, highlighting their benefits, use cases, and implementation. Traditional Logging in Spring What is Traditional Logging? Traditional logging involves writing log messages in plain text. These messages typically include the log level (INFO, DEBUG, WARN, ERROR), a timestamp, ... Comparison of Structured Logging with Traditional Logging in Spring Framework 6.2 and Spring Boot 3.4