News Aggregator

Lakehouse: Starting With Apache Doris + S3 Tables

Aggregated on: 2025-03-25 17:58:14

Among the numerous AI products launched at the AWS re:Invent 2024 conference, Amazon S3 Tables might have seemed inconspicuous. However, for database professionals, the emergence of S3 Tables signifies that the era of modular data analytics has arrived. S3 Tables are a special type of S3 Bucket with built-in support for Apache Iceberg. They stand alongside the previously introduced General Purpose Bucket and Directory Bucket, collectively referred to as Table Bucket. This means you can now create a table bucket as easily as you would create a standard S3 Bucket.

Agentic AI and Generative AI: Revolutionizing Decision Making and Automation

Aggregated on: 2025-03-25 17:28:14

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Generative AI: The Democratization of Intelligent Systems. The rapid advancement of artificial intelligence (AI) creates breakthroughs that span multiple industries. Among many developments, agentic AI and generative AI stand out as two transformative powers. Although these systems work differently because they serve distinct functions, they bring substantial benefits when used together. Generative AI focuses on content creation through deep learning transformer models that learn from extensive datasets. This technology enables increased human productivity in content creation tasks as well as design, marketing activities, and software development by delivering text, images, code, and music outputs.

Make ML Models Work: A Real-World Take on Size and Imbalance

Aggregated on: 2025-03-25 16:13:14

The Initial Hurdle In NLP classification tasks, especially those involving text descriptions, it's common to encounter two significant hurdles: large model sizes and imbalanced datasets. A large model can be difficult to deploy and manage, while class imbalance can lead to poor predictive performance, particularly for minority classes. Imagine you are building a system to automatically categorize product descriptions into various product categories. The project began with a dataset of close to 40,000 records, where each record contained a short product title and a longer product description, along with its corresponding category. The initial Random Forest model, while achieving a decent accuracy of around 70%, ballooned to a whopping 11 GB size.

Mastering Async Context Manager Mocking in Python Tests

Aggregated on: 2025-03-25 15:13:14

Testing asynchronous Python code can be challenging, especially when dealing with nested context managers. In this tutorial, we’ll explore how to effectively mock nested async context managers to create clean, reliable tests for complex async code structures. The Challenge of Testing Nested Async Context Managers Modern Python codebases often use asynchronous context managers (using async with) for resource management in async functions. When these context managers are nested, testing becomes complicated. Consider a client that uses nested context managers to manage HTTP sessions and requests:

Using KRaft Kafka for Development and Kubernetes Deployment

Aggregated on: 2025-03-25 14:43:14

With KRaft for Kafka ZooKeeper is no longer needed. KRaft is a protocol to select a leader among several server instances. That makes the Kafka setup much easier. The new configuration is shown on the example of the MovieManager project.

Video Generation With Java: Leverage Nova and Amazon Bedrock

Aggregated on: 2025-03-25 13:58:14

Amazon Nova is a new generation of state-of-the-art (SOTA) foundation models (FMs) that deliver frontier intelligence and industry-leading price performance, released on December 24. It is available exclusively on Amazon Bedrock. As this model is quite new, there are not a lot of examples of its use, especially in Java. As of this writing, the official AWS docs contain only Python code examples, and there are a couple.

How to Get Word Document Form Values Using Java

Aggregated on: 2025-03-25 13:28:14

In this article, we’ll provide some background about Word DOCX forms and discuss how form values (i.e., form responses) can be programmatically extracted from completed DOCX forms in Java. We’ll discuss the specific way in which form responses are stored in the DOCX file structure and how that impacts a programmatic process aimed at retrieving them. Towards the end of this article, we’ll learn about a few different APIs we can use to build an expedited DOCX form-value retrieval workflow in Java.

The Role of Sanity Testing in Performance Engineering

Aggregated on: 2025-03-24 22:43:13

As a CTO, my role extends beyond overseeing technical solutions — I work closely with engineering teams to ensure performance testing strategies align with business goals. One of the recurring challenges I’ve observed is how sanity testing, despite being a simple step, often determines the success or failure of performance testing efforts. Many teams focus on running large-scale performance tests, ensuring their applications can handle peak loads, but neglect the essential first step — validating the test scripts and basic system functionality before executing a full-scale load test. Over the years, I’ve seen how overlooking this step can lead to wasted time, misleading results, and frustration.

Hybrid Backup Strategies: On-Premises vs Cloud for DevOps

Aggregated on: 2025-03-24 20:43:13

Where is it safer to keep your DevOps data backups — in the cloud or on-premise? For sure, when it comes to SMBs or large businesses, everything depends on their corporate, legal, or compliance requirements. Their security teams have a proper evaluation of the security issues of each of the deployment models for a backup and analyze which one suits them the most. However, while many companies opt for one of the variants, others are starting to rely more on a hybrid deployment model.

Text Clustering With Deepseek Reasoning

Aggregated on: 2025-03-24 19:13:13

In this article, we will explore the world of reasoning in LLM. DeepSeek has provided us with an excellent tool to explain our inferences and build machine learning systems that inspire more confidence and trust from end users. Machine learning models are black boxes by default and do not provide out-of-box explanations (XAI) for their decisions. We will use the DeepSeek model and try to add the explanation or reasoning aspect to our machine learning world.

Breaking AWS Lambda: Chaos Engineering for Serverless Devs

Aggregated on: 2025-03-24 18:13:13

The Day Our Serverless Dream Turned into a Nightmare It was 3 PM on a Tuesday. Our "serverless" order processing system — built on AWS Lambda and API Gateway — was humming along, handling 1,000 transactions/minute. Then, disaster struck. A sudden spike in traffic caused Lambda timeouts, API Gateway threw 5xx errors, and customers started tweeting, “Why can’t I check out?!” The post-mortem revealed the harsh truth: we’d never tested failure scenarios. Our “resilient” serverless setup had no fallbacks, retries, or plans for chaos.

How to Build a React Native Chat App for Android

Aggregated on: 2025-03-24 17:28:13

In this tutorial, we will walk you through the complete process of integrating the MirrorFly Chat SDK into your React Native app. With this React Native Chat SDK, you can create a real-time chat app within 10 minutes. Moving forward, we'll cover the following steps:

5 Life Hacks to Protect Your Project from Escaped Defects

Aggregated on: 2025-03-24 16:28:13

Every project team knows that there is nothing worse than getting a message from an annoyed customer that there is a critical bug found in production. 'How did you let this get through? Did you even test this build?!' These are common complaints that could make your team feel anxious and insecure.

Supercharging Pytest: Integration With External Tools

Aggregated on: 2025-03-24 15:43:13

Testing is a crucial aspect of software development, and while Python’s Pytest framework is powerful on its own, integrating it with external tools can significantly enhance the testing workflow. Let's explore how to supercharge Pytest implementation by combining it with various complementary tools and systems.

Leverage Amazon BedRock Chat Model With Java and Spring AI

Aggregated on: 2025-03-24 14:28:13

Hi community! This is my third article in a series of introductions to Spring AI. You may find the first two on the link below:

Recommender Systems Best Practices: Collaborative Filtering

Aggregated on: 2025-03-24 13:13:13

Recommender systems serve as the backbone of e-commerce, streaming platforms, and online marketplaces, enabling personalized user experiences by predicting preferences and suggesting items based on historical interactions. They are built using explicit and/or implicit feedback from users. Explicit feedback includes direct user inputs, such as ratings and reviews, which provide clear indications of preference but are often sparse. Implicit feedback, such as clicks, views, purchase history, and dwell time, is more abundant but requires specialized algorithms to interpret user intent accurately.

Introduce a New API Quickly Using Spring Boot and Gradle

Aggregated on: 2025-03-24 12:28:13

For the last five years, I’ve had the quote “Everything begins with an idea” on the wall of my office. My wife found this product on Etsy shortly after I started developing an API collection for a fitness application. I love this statement because it captures the passion that consumes me during the creation stages of a new project. This is still my favorite aspect of being an engineer, even three decades into my career.

Supercharged LLMs: Combining Retrieval Augmented Generation and AI Agents to Transform Business Operations

Aggregated on: 2025-03-24 11:28:13

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Generative AI: The Democratization of Intelligent Systems. Enterprise AI is rapidly evolving and transforming. With the recent hype around large language models (LLMs), which promise intelligent automation and seamless workflows, we are moving beyond mere data synthesis toward a more immersive experience. Despite the initial enthusiasm surrounding LLM adoption, practical limitations soon became apparent. These limitations included the generation of "hallucinations" (incorrect or contextually flawed information), reliance on stale data, difficulties integrating proprietary knowledge, and a lack of transparency and auditability.

Is Vibe Coding Agile or Merely a Hype?

Aggregated on: 2025-03-24 11:28:13

TL; DR: Vibe Coding Vibe coding — using natural language to generate code through AI — represents a significant evolution in software development. It accelerates feedback cycles and democratizes programming but raises concerns about maintainability, security, and technical debt. Learn why success likely requires a balanced approach: using vibe coding for rapid prototyping while maintaining rigorous standards for production code, with developers evolving from writers to architects and reviewers or auditors.

Multi-Tenant .NET Applications With Keycloak Realms

Aggregated on: 2025-03-21 22:58:12

Introduction Note: You can download the source from GitHub. I’ve been working on multi-tenant applications in the .NET ecosystem for quite a while, and one of the toughest challenges I consistently run into is secure tenant isolation — especially when different customers expect separate user bases, roles, and management capabilities.

When Doris Meets Iceberg: A Data Engineer's Redemption

Aggregated on: 2025-03-21 21:43:12

Waking up in the middle of the night due to a data bug again, have you ever dreamed of an ideal data world where queries return in seconds, data is never lost, and costs are so low that your boss is smiling? Sounds like a dream? No! This is becoming a reality. Remember that night you were crushed by data partitioning issues, with the product manager frantically pushing for progress while you struggled with scattered data? Cross-source queries were as slow as a snail climbing a mountain, and schema changes required coordination across seven departments.

Writing DTOs With Java8, Lombok, and Java14+

Aggregated on: 2025-03-21 20:58:12

In this article, I will try to help you understand how updated versions of Java and using the right set of libraries can reduce the development efforts and boilerplate code. In organizations, we tend to use one version for a longer period of time as upgrading versions of software is not quick and requires extensive testing. However, because of this thought, we generally miss using new features available with new versions as software providers continuously update their features.

Graph API for Entra ID (Azure AD) Object Management

Aggregated on: 2025-03-21 19:43:12

Azure Active Directory (Azure AD) plays a crucial role in identity and access management; however, manually handling the lifecycles of these objects, such as adding new users, updating responsibilities, and deleting old accounts, can be challenging. This is where Graph API comes in. By streamlining and automating the entire lifecycle management of Azure AD objects, Graph API ensures consistency, security, and scalability and reduces administrative oversight. In this article, we'll walk you through how to use Graph API to do just that.

Concurrency and Parallelism in Node.js for Scalable Apps

Aggregated on: 2025-03-21 17:58:12

Businesses face a demanding environment. This is not news, of course. Customers now demand seamless experience and consistent service, regardless of the size of the business. Applications have now become the foundation of modern commerce, managing data and enabling critical business processes. The long and short of it is that the pressure to deliver high-performance apps has never been higher. Modern apps must be able to handle multiple requests at once. They must also efficiently manage shared resources and remain responsive even during peak loads. This means the ability to effectively manage concurrency, and parallelism is no longer a desirable feature.

Spring Boot Gateway With Spring Cloud and WebFlux

Aggregated on: 2025-03-21 17:13:12

Acting as the central entry point, the gateway routes requests to different microservices while providing essential features like request routing, authentication, and rate limiting. WebFlux enables non-blocking, asynchronous request processing, ensuring both high performance and scalability. The integration of Spring Cloud components further supports seamless service discovery, configuration management, and fault tolerance, making this solution ideal for modern microservice architectures.

[Part-2] Text to Action: Words to Calendar Events

Aggregated on: 2025-03-21 16:13:11

Welcome back to the “Text to Action” series, where we build intelligent systems that transform natural language into real-world actionable outcomes using AI. In Part 1, we established our foundation by creating an Express.js backend that connects to Google Calendar’s API. This gave us the ability to programmatically create calendar events through an exposed API endpoint.

Running and Debugging Tests With Playwright UI Mode

Aggregated on: 2025-03-21 15:43:11

In Playwright, you can run tests using headed and headless modes. In the earlier versions of Playwright, running tests in headed mode was somewhat challenging. To improve the headed mode experience, Playwright introduced UI mode in version 1.32. Playwright UI mode provides a visual interface for running and debugging tests. It allows you to inspect elements, step through tests interactively, and get real-time feedback, making troubleshooting more intuitive.

How Doris SQL Cache Saved My Daily Morning Meetings

Aggregated on: 2025-03-21 13:58:11

"Xiao Zhang, why hasn't this SQL query finished after 5 minutes?""I checked this data yesterday; why does it take so long today?""The morning meeting is about to start, and the report is still loading..." Do these complaints sound familiar? As a DBA or data engineer, you've likely experienced the awkward moments of being "swarmed" by users. Faced with repetitive query demands, the system acts like a "forgetful patient," recalculating every time, which is truly frustrating.

More Efficient Software Development Means More Need for Devs

Aggregated on: 2025-03-21 12:13:11

I think we need to be realistic when we talk about AI's role in software development. It's not "hit a button and generate code." For me, it's best positioned to maximize efficiency. It's not just a tool for getting rid of developers. Whenever I start a new project, I often get stuck on "blank page syndrome." Half of the battle in software development is getting 90% of the knowledge I need in order to start writing code — which is a big part of engineering solutions.

A Pulse on Generative AI Today: Navigating the Landscape of Innovation and Challenges

Aggregated on: 2025-03-21 11:28:11

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Generative AI: The Democratization of Intelligent Systems. Generative AI (GenAI) has become a transformative force, redefining how machines generate, retrieve, and process information across industries. This article explores its rapid evolution, highlighting key breakthroughs, industry applications, and emerging trends. From the rise of large language models (LLMs) and retrieval-augmented generation (RAG) to the growing role of agentic AI, the analysis delves into innovations driving AI's transformation and the challenges shaping its responsible adoption. Early breakthroughs like GPT-3 and DALL-E paved the way for GPT-4o, Claude 3.5, and Gemini Ultra, enabling real-time memory-augmented reasoning and cross-modal capabilities. Figure 1 shares the key developments across the timeline.

Serverless Kubernetes: The Rise of Zero-Management Container Orchestration

Aggregated on: 2025-03-20 21:43:11

I still remember the day our CTO walked into the engineering huddle and declared, "We're moving everything to Kubernetes." It was 2017, and like many teams caught in the container hype cycle, we dove in headfirst with more excitement than wisdom. What followed was a sobering 18-month journey of steep learning curves, 3 AM incident calls, and the gradual realization that we'd traded one set of operational headaches for another. Fast forward to today, I'm deploying containerized applications without managing a single node. No upgrades. No capacity planning. No security patching. Yet, I still have the full power of Kubernetes' declarative API at my fingertips. The serverless Kubernetes revolution is here, and it's changing everything about how we approach container orchestration.

[Part-1] Text to Action: Build a Smart Calendar AI Assistant

Aggregated on: 2025-03-20 21:13:11

Welcome to the “Text to Action” series, where we build intelligent systems that transform natural language into real-world actionable outcomes using AI. To understand the concept better, let’s start simple by building a Smart Calendar AI Assistant. Soon, we’ll tackle more complex challenges — from smart home control to document automation — as we master the art of turning words into actions.

Grounding Gemini With Google Search and Other Data Sources

Aggregated on: 2025-03-20 20:43:11

When you only have a few data sources (e.g., PDFs, JSON) that are required in your generative AI application, building RAG might not be worth the time and effort. In this article, I'll show how you can use Google Gemini to retrieve context from three data sources. I'll also show how you can combine the context and ground results using Google search. This enables the end user to combine real-time information from Google Search with their internal data sources.

Multimodal AI: Beyond Single Modalities

Aggregated on: 2025-03-20 19:58:11

Artificial intelligence (AI) has progressed significantly from the time of unimodal systems to the more advanced multimodal systems, incorporating information from many different sources. Although unimodal AI has done a good job-solving problems such as language processing or image recognition, issues related to more complex situations in the real world will always comprise a larger data type than one. Since more than one data type must often interplay for a proper conclusion, multimodal AI has come up to the front. It blends text, visual, and audio types of data to provide richer insights with contextual awareness.

Mistakes That Django Developers Make and How To Avoid Them

Aggregated on: 2025-03-20 19:13:11

There is no doubt that Python is one of the most popular programming languages. Furthermore, it offers frameworks like Django and Flask. But Django is the most famous among Python developers as it helps them with a rapid development process and pragmatic design. For example, the Object Relational Mapping tool (ORM), routing, and templating features make things easier for developers. But despite these powerful features, there are many mistakes, such as bad application structure and incorrect resource placement, as well as writing fat views and skinny models, etc. These types of problems are not just faced by newbie Python developers, but they are also difficult ones for experienced Python developers as well.

Migrating from React Router v5 to v6: A Comprehensive Guide

Aggregated on: 2025-03-20 18:43:11

React Router remains a foundational library for routing in React applications, facilitating navigation between different components and handling URL changes elegantly. With the release of React Router v6, several significant changes have been introduced that improve the library’s performance, flexibility, and developer experience.

Build Multimodal RAG Apps With Amazon Bedrock and OpenSearch

Aggregated on: 2025-03-20 18:43:11

Scenario Customer support tickets with screenshots, technical documentation with diagrams, and a mountain of legacy PDFs — all containing valuable information, but impossible to query efficiently. "There has to be a better way," I thought. That's when I dove headfirst into the world of multimodal retrieval-augmented generation (RAG).

Playwright Fixtures vs POM: Which One Should You Choose?

Aggregated on: 2025-03-20 17:28:11

Playwright fixtures and traditional Page Object Models (POM) are both used in test automation, but they serve different purposes and can be integrated for better results. Playwright fixtures help set up and manage test environments, while POM organizes page interactions. In Playwright, you can use fixtures to handle POM instances, making tests cleaner and more maintainable.

Patch Management in the Age of IoT: Challenges and Solutions

Aggregated on: 2025-03-20 14:58:11

In a closely connected world, the Internet of Things (IoT) is already a familiar brand for people. However, the use of such many devices is likely to increase the risk of attack. This is why good patch management is so important. It implies the execution of a set of procedures for acquiring, installing, and supporting operating systems and other software. In this blog, the issues and opportunities concerning patch management in the IoT are considered. It is illustrated how such a possibility of patch management can minimize risks.

Tackling Multidomain Integration in Software Development

Aggregated on: 2025-03-20 13:43:11

Multidomain integration is becoming a cornerstone of modern software development, bridging technologies like blockchain, biotech, and consumer applications. These cross-domain projects are no longer optional — they are the future of innovation. However, combining such diverse systems presents unique challenges. Let me share practical strategies to help you approach cross-domain integration with confidence. In this article, I will explore the technical hurdles of multidomain integration using the example of blockchain and biotech and uncover actionable insights to ensure your projects succeed in this demanding landscape.

Personalized Product Recommendations in E-Commerce Using ML

Aggregated on: 2025-03-20 11:28:11

As a multidisciplinary field, data mining focuses on uncovering hidden patterns within data sets, with machine learning serving as a key approach in this exploration. Machine learning, a branch of data science, is devoted to creating algorithms that can learn from data and make accurate predictions. The growth of e-commerce has led to an overwhelming amount of information for users, often making it difficult to locate content that matches their preferences. To address this challenge, a system has been developed that uses user’s purchase histories to recommend similar food products, taking into account their daily health conditions. Machine learning algorithms, such as Support Vector Machine (SVM) and Random Forest, were utilized and compared in this context. The analysis revealed that SVM outperforms Random Forest in terms of effectiveness, highlighting its superior performance for this application.

Memory Management in Couchbase’s Query Service

Aggregated on: 2025-03-19 22:58:11

In Couchbase, memory management in the Query Service is key to keeping the service efficient and responsive, especially as the service handles an increasing number of queries simultaneously. Without proper memory management, things can go awry — greedy queries can hog memory, and the combined memory usage of multiple concurrent queries can overwhelm the service, leading to degraded performance. Fortunately, the Query Service has several features that allow users to manage the memory usage of queries and the overall service.

Serverless Sign-In Solution Based on Next.js on CloudFare

Aggregated on: 2025-03-19 22:13:11

If you would like to run your own solution without any costs and get familiar with serverless architecture, I'd encourage you to look at CloudFare. Recently, I tried to assemble all the pieces together to make the Next.js application authorization work on Cloudflare and faced a lot of issues. Provided examples on the official site and demos on other sources were working only partially. After some digging and combining the pieces together, it finally started working.

AI-Powered Observability With OpenTelemetry and Prometheus

Aggregated on: 2025-03-19 18:13:11

When it comes to customer satisfaction, providing excellent service isn’t optional anymore — it’s essential for success. With this, traditional monitoring tools are struggling to keep up as IT systems grow more complex with microservices, dynamic setups, and distributed networks. At the next level, the concept of observability is introduced, whereby people become aware of it as a solution. Besides, as AI technology advances and artificial intelligence is introduced, the public no longer sees observability merely as a measure of root cause analysis but also as an issue prediction, system optimization, and the overall keeping of the business the best.

Building an Agentic RAG System from Scratch

Aggregated on: 2025-03-19 17:13:10

In this post, we’ll explore the concept of Agentic RAG, its architecture, and why this powerful combination is reshaping the future of AI systems. Plus, we’ll walk through implementing a basic version of an Agentic RAG system from scratch! What Is RAG and Agentic RAG? To start, let's clarify what RAG is. Retrieval-augmented generation (RAG) is a technique that enhances LLMs by connecting them to external data sources, enabling more accurate and reliable responses. With RAG, the system first retrieves relevant information from a database and then uses it to generate an answer.

Stream Gatherers: Intro to Intermediate Operations Modeler

Aggregated on: 2025-03-19 16:28:10

Java is a programming language with many language features, specifications, and APIs. Even among experienced Java developers, being aware of all of these is quite rare. If a study were conducted, we might come across Java developers who have never worked with Threads, never used JPA, or never developed custom annotations. However, is there a Java developer who has worked with Java 8 or later but has never used the Stream API? I highly doubt it. Gatherers is a powerful extension of the Stream API that introduces support for customized intermediate operations. Initially introduced as a preview feature in JDK 22, it became a standard feature in JDK 24.

OpenAI vs Ollama Using LangChain's SQLDatabaseToolkit

Aggregated on: 2025-03-19 15:58:10

Disclaimer The stock data used in this article is entirely fictitious. It is purely for demo purposes. Please do not use this data for making any financial decisions. In a previous article, we saw the benefits of using Ollama locally for a RAG application. In this article, we'll extend our evaluation of Ollama by testing natural language (NL) queries against a database system, using LangChain's SQLDatabaseToolkit. SQL will serve as the baseline system for comparison as we explore the quality of results provided by OpenAI and Ollama.

Designing and Maintaining Event-Driven Architectures

Aggregated on: 2025-03-19 15:13:10

Event-driven architecture (EDA) gives your system the ability to receive and respond to changes in real time, making it easier to scale. Decoupling components is the core theme of EDA, which makes it flexible, allowing it to scale asynchronously based on events. This approach makes systems reactive, scalable, and resilient to failures. Designing and maintaining, like any other large-scale framework, requires deep thinking and constant monitoring. Understanding EDA At its core, EDA is primarily about reacting to events. A moment that signals a significant change, such as a user signing up or a sensor detecting temperature changes. Events are generated by producers, routed by intermediaries like message brokers or event buses, and consumed by services that act on them. This design keeps the components independent of each other, making the system easier to scale and maintain.

Unlocking Oracle 23 AI's JSON Relational Duality

Aggregated on: 2025-03-19 14:43:11

Oracle 23ai's JSON Relational Duality bridges the gap between JSON and relational data, which allows seamless querying and updating of data in both formats. This feature allows developers to efficiently manage hybrid data models, simplify application workflows, and reduce data transformation overhead. It also allows them to query and update data in JSON and relational formats seamlessly, simplifying data handling for modern applications.

AI-Driven Kubernetes Troubleshooting With DeepSeek and k8sgpt

Aggregated on: 2025-03-19 12:13:10

Kubernetes Site Reliability Engineers (SREs) frequently encounter complex scenarios demanding swift and effective troubleshooting to maintain the stability and reliability of clusters. Traditional debugging methods, including manual inspection of logs, event streams, configurations, and system metrics, can be painstakingly slow and prone to human error, particularly under pressure. This manual approach often leads to extended downtimes, delayed issue resolution, and increased operational overhead, significantly impacting both the user experience and organizational productivity.