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Artificial Intelligence (AI) is increasingly integrated into daily life, from voice assistants like Siri to advanced decision-making systems in healthcare, finance, and law enforcement. However, as AI becomes more prevalent, concerns around trust and transparency in these systems have escalated. Developers face the critical challenge of creating AI systems that are not only accurate but also reliable and understandable. Trust and transparency are essential for the widespread adoption of AI technologies, especially in sensitive domains where decisions can have significant ... How Developers Build Trust and Transparency in AI Systems
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Logging is an essential part of any application as it provides insight into the internal operations and helps track down issues. Spring Boot, a powerful framework for building Java applications, comes with an excellent logging system by default. However, sometimes developers need to tweak the logging configuration to suit the application’s needs. This article will explore how to configure logging in Spring Boot, test log severity, and adjust log levels dynamically using the LoggingSystem class, along with practical examples. Introduction ... Spring Boot Logs: Configuring Logging, Testing Log Severity, and Adjusting Log Levels Using the LoggingSystem Class
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Deploying Flask applications to Vultr can be a powerful and cost-effective solution for your web projects. Vultr is a cloud computing provider offering high-performance cloud servers with a global footprint. In this article, we will walk you through a step-by-step process of deploying a Flask application on Vultr, covering every key aspect from server setup to making your application publicly accessible. Prerequisites Before starting, ensure that you have the following: A Vultr account Basic knowledge of Linux and Flask A ... How to Deploy Flask Applications on Vultr
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In modern software applications, it’s common to use multiple databases with different technologies for various reasons like scalability, performance, or simply leveraging the best features of a specific database for different types of data. However, keeping these databases aligned can be challenging, especially if they belong to different vendors or employ different storage mechanisms. This article explores an application-level solution to keep two different databases aligned, discusses the challenges, and provides coding examples to illustrate the solution. Why Use Multiple ... Keeping Two Different Databases Aligned With Two Different Technologies Using an Application-Level Solution
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The DRY principle (Don’t Repeat Yourself) is one of the most important principles in software development. It emphasizes reducing repetition of code by using abstractions or reusable components. In microservices architecture, where API gateways like Apache APISIX are central to managing APIs, maintaining DRY configuration becomes essential to reduce maintenance overhead, increase readability, and avoid potential misconfigurations. Apache APISIX is an open-source, dynamic, high-performance API gateway for microservices. It allows you to manage traffic, authenticate requests, apply rate-limiting, and much ... How to Apply DRY to Apache APISIX Configuration
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In today’s fast-paced software development world, security is a top concern for both developers and organizations. As development practices evolve, so too must the methods we use to secure applications. Two emerging concepts that have gained significant traction in recent years are Software Bill of Materials (SBOM) and DevSecOps. Both concepts aim to enhance application security, but they do so in different ways. SBOM focuses on transparency and visibility into software components, while DevSecOps integrates security into every phase of ... SBOM and DevSecOps Concepts for Enhanced Application Security
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Testing is a fundamental aspect of software development, ensuring that code behaves as expected and is robust against changes and errors. In Go, testing is made straightforward with its built-in testing package, which provides powerful tools for writing both unit and integration tests. In this article, we’ll explore the nuances of unit and integration tests in Go, provide coding examples, and discuss best practices to ensure high-quality, maintainable code. What are Unit and Integration Tests? Before diving into the specifics ... Unit and Integration Testing in Go: A Comprehensive Guide
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Securing modern applications is a critical endeavor in today’s digital landscape. With the increasing sophistication of cyber threats and the expanding attack surface due to the adoption of cloud services, microservices architectures, and APIs, developers and security professionals must be proactive in implementing robust security measures. This article will explore the best practices and challenges associated with securing modern applications, providing coding examples to illustrate key points. Understanding the Modern Application Environment The Complexity of Modern Applications Modern applications often ... Best Practices and Challenges of Securing Modern Applications
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Python, a high-level programming language, is favored for its simplicity and versatility. However, to write efficient Python code, it is crucial to understand how Python manages memory, especially when dealing with data structures like tuples and lists. Both tuples and lists are sequence data types that can store a collection of items, yet they have different characteristics that make them suitable for different situations. This article delves into the memory efficiency of tuples versus lists, with coding examples to illustrate ... Understanding Python Memory Efficiency: Tuples vs. Lists
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Software quality is paramount in any development project, as it directly affects the reliability, maintainability, and performance of the codebase. Two powerful tools, Checkstyle and PMD, are widely used to enforce coding standards, detect code smells, and improve code quality in Java projects. This article delves into the intricacies of these tools, providing coding examples and practical guidance on their usage to elevate software quality. Introduction to Checkstyle and PMD Checkstyle and PMD are static code analysis tools designed to ... Enhancing Software Quality with Checkstyle and PMD
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Event stream processing is crucial for modern data-intensive applications, allowing real-time data ingestion, analysis, and action. Apache Kafka, a widely-used distributed streaming platform, offers robust support for building real-time data pipelines and streaming applications. Traditionally, Kafka required Zookeeper for managing distributed clusters, but with the introduction of KRaft mode, Kafka has removed this dependency, streamlining operations. Integrating Kafka in KRaft mode with RisingWave—a cloud-native streaming database—enables powerful, scalable, and real-time event stream processing. This article explores how to set up ... Integrating Apache Kafka in KRaft Mode With RisingWave for Event Stream Processing
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In the modern landscape of DevOps, effective tracking and observability are crucial for ensuring the smooth operation of complex systems. As organizations scale, they encounter an increasing need to monitor, trace, and analyze various aspects of their CI/CD pipelines and the applications they support. Tools like Jenkins, Prometheus, and Observe provide powerful capabilities to achieve these goals. This article explores how to integrate Jenkins, Prometheus, and Observe for advanced tracking and observability, supported by coding examples. Introduction to Jenkins, Prometheus, ... Advanced Tracking and Observability with Jenkins, Prometheus, and Observe