News Aggregator

"Fix with AI" Button to Automate Playwright Test Fixes

Aggregated on: 2025-01-24 14:32:20

End-to-end tests are essential for ensuring the reliability of your application, but they can also be a source of frustration. Even small changes to the user interface can cause tests to fail, leading developers and QA teams to spend hours troubleshooting. In this blog post, I’ll show you how to utilize AI tools like ChatGPT or Copilot to automatically fix Playwright tests. You’ll learn how to create an AI prompt for any test that fails and attach it to your HTML report. This way, you can easily copy and paste the prompt into AI tools for quick suggestions on fixing the test. Join me to streamline your testing process and improve application reliability!

Multi-Tenancy and Its Improved Support in Hibernate 6.3.0

Aggregated on: 2025-01-24 13:17:20

Multi-tenancy has become an important feature for modern enterprise applications that need to serve multiple clients (tenants) from a single application instance. While an earlier version of Hibernate had support for multi-tenancy, its implementation required significant manual configuration and custom strategies to handle tenant isolation, which resulted in higher complexity and slower processes, especially for applications with a number of tenants. The latest version of Hibernate 6.3.0, which was released on December 15, 2024, addressed the above limitations with enhanced multi-tenancy support through better tools for tenant identification, schema resolution, and enhanced performance for handling tenant-specific operations. This article talks about how Hibernate 6.3.0 enhanced the traditional multi-tenancy implementation significantly.

Phased Migration Strategy for Zero Downtime in Systems

Aggregated on: 2025-01-23 23:32:20

In distributed systems, multiple services work together to complete a task, each managed by different teams and evolving independently. This often leads to the need for dependency migrations, such as database schema updates, external service upgrades, or changes in data sources. These migrations are a crucial part of the development lifecycle and require thorough planning and execution to prevent rollbacks, data inconsistencies, and operational disruptions. Examples of Software Migration Before exploring migration strategies, it's important to understand common scenarios that necessitate software migrations and require detailed planning:

NoSQL for Relational Minds

Aggregated on: 2025-01-23 22:17:20

When developers first think about managing data or choosing a database for their application, the first thing that often comes to their mind is — — that’s right, a table.

Secure Your Frontend: Practical Tips for Developers

Aggregated on: 2025-01-23 21:17:20

Let’s face it: frontend security often gets overlooked. With so much focus on UI/UX and performance, it’s easy to assume that back-end APIs and firewalls are taking care of all the heavy lifting. But the reality is that your beautiful React or Vue app could be a ticking time bomb if you’re not paying attention to security. Having spent years building front-end applications and learning (sometimes the hard way), I’ve picked up a few essential practices that every developer should follow to keep their apps secure. Here are some practical, battle-tested tips to secure your frontend and sleep better at night.

Refactoring Design Patterns in Python

Aggregated on: 2025-01-23 20:32:20

This table in Python contains a list of code smells and the design patterns that address them. Python class CodeSmells: Duplicated_Code = [ form_template_method, introduce_polymorphic_creation_with_factory_method, chain_constructors, replace_one__many_distinctions_with_composite, extract_composite, unify_interfaces_with_adapter, introduce_null_object, ] Long_Method = [ compose_method, move_accumulation_to_collecting_parameter, replace_conditional_dispatcher_with_command, move_accumulation_to_visitor, replace_conditional_logic_with_strategy, ] Conditional_Complexity = [ # Complicated conditonal logic replace_conditional_logic_with_strategy, move_emblishment_to_decorator, replace_state_altering_conditionals_with_state, introduce_null_object, ] Primitive_Obssession = [ replace_type_code_with_class, replace_state_altering_conditionals_with_state, replace_conditional_logic_with_strategy, replace_implict_tree_with_composite, replace_implicit_language_with_interpreter, move_emblishment_to_decorator, encapsulate_composite_with_builder, ] # Lack of "information hiding" [Parnas] Indecent_Exposure = [encapsulate_classes_with_factory] # The logic/responsibility is sprawled in multiple places # (classes, methods) Solution_Sprawl = [move_creation_knowledge_to_factory] # [Fowler and Beck] Interfaces of classes different, # but classes are similar Alternative_Classes_with_Different_Interfaces = unify_interfaces_with_adapter # [Fowler and Beck] A class the doesn't do enough to pay itself Lazy_Class = [inline_singleton] Large_Class = [ replace_conditional_dispatcher_with_command, replace_state_altering_conditionals_with_state, replace_implict_tree_with_composite, ] Switch_Statements = [ # Complicated switches replace_conditional_dispatcher_with_command, move_accumulation_to_visitor, ] # Code that do the same with different types or quantity of data # (similar to duplication) Combination_Explostion = [replace_implicit_language_with_interpreter] # The same problem being solved in many ways in the system # (similar to duplication) Oddball_Solutions = [unify_interfaces_with_adapter] The Journey After nearly a year of effort, I’ve finally completed my self-imposed goal of writing all the refactoring examples from the book Refactoring to Patterns by Joshua Kerievsky in Python. This book broadened my understanding of how to apply design patterns in production code.

Multi-Tenant Data Isolation and Row Level Security

Aggregated on: 2025-01-23 19:17:20

Over the past one and a half years, I was involved in designing and developing a multi-tenant treasury management system. In this article, I will share our approaches to the data isolation aspect of our multi-tenant solution and the learnings from it. Background and Problem Regarding Data Isolation Before going into the problem that I will focus on today, I must first give some background into our architecture for storage and data in our system. When it comes to data partitioning for SaaS systems, at the extreme far right end, we have the approach of using dedicated databases for each tenant (silo model), and on the other side of the spectrum is the shared database model (pool model).

What OpenAI's Reasoning Models Mean for GPT and AI

Aggregated on: 2025-01-23 18:17:20

OpenAI’s latest announcement about its reasoning models has really made me pause and think about where AI is headed. Over the years, I have seen GPT models evolve from something experimental to tools we now rely on daily for everything from content creation to customer support. But as impressive as GPT is, we have all noticed its shortcomings, especially when it’s tasked with solving complex problems or making logical connections. That’s why the idea of reasoning models feels like such a big step forward. It’s not just an upgrade; it’s a shift in what AI is capable of. So, what are reasoning models really about? And how will they change the AI landscape we have gotten so used to?

Building an AI-Powered Cold Email System With CrewAI

Aggregated on: 2025-01-23 17:32:20

Cold emailing remains one of the most effective ways to reach potential employers or clients, but crafting personalized, compelling messages at scale can be challenging. CrewAI is a framework for creating AI agent teams to automate and enhance cold email outreach. In this tutorial, we'll build a sophisticated cold email system using CrewAI that researches companies, generates personalized templates, and provides strategic insights.

Mocking and Its Importance in Integration and E2E Testing

Aggregated on: 2025-01-23 16:17:20

In the software development lifecycle (SDLC), testing is one of the important stages where we ensure that the application works as expected and meets end-user requirements. Among the various techniques that we use for testing, mocking plays a crucial role in testing different components of a system, especially when the external services that the application is dependent on are not yet ready or deployed. With that being said, let’s try to understand what mocking is and how it helps in integration testing and end-to-end (E2E) testing.

An Introduction to Bloom Filters

Aggregated on: 2025-01-23 15:17:20

The Bloom filter is a lesser-known data structure that is not widely used by developers. It is a space-efficient, highly probabilistic data structure that every developer should be familiar with. It can significantly speed up exact match queries, especially in cases where indexing has not been added to that field. The space efficiency of a Bloom filter provides the added advantage of allowing filters to be created for multiple fields. How It Works Reading from a database or storage is a costly operation. To optimize this, we use a Bloom filter to check the availability of a key-value pair and only perform a database read if the filter responds with a 'Yes.' Bloom filters are space-efficient and can be stored in memory. Additionally, the lookup test for a value can be performed in O(1) time. More on this later. Let’s explore this concept with an example:

Powering LLMs With Apache Camel and LangChain4j

Aggregated on: 2025-01-23 14:32:20

LLMs need to connect to the real world. LangChain4j tools, combined with Apache Camel, make this easy. Camel provides robust integration, connecting your LLM to any service or API. This lets your AI interact with databases, queues, and more, creating truly powerful applications. We'll explore this powerful combination and its potential. Setting Up the Development Environment Ollama: Provides a way to run large language models (LLMs) locally. You can run many models, such as LLama3, Mistral, CodeLlama, and many others on your machine, with full CPU and GPU support. Visual Studio Code: With Kaoto, Java, and Quarkus plugins installed. OpenJDK 21 Maven Quarkus 3.17 Quarkus Dev Services: A feature of Quarkus that simplifies the development and testing of applications the development and testing of applications that rely on external services such as databases, messaging systems, and other resources. You can download the complete code at the following GitHub repo.

Understanding HyperLogLog for Estimating Cardinality

Aggregated on: 2025-01-23 13:17:20

Cardinality is the number of distinct items in a dataset. Whether it's counting the number of unique users on a website or estimating the number of distinct search queries, estimating cardinality becomes challenging when dealing with massive datasets. That's where the HyperLogLog algorithm comes into the picture. In this article, we will explore the key concepts behind HyperLogLog and its applications. HyperLogLog HyperLogLog is a probabilistic algorithm designed to estimate the cardinality of a dataset with both high accuracy and low memory usage.

Fresh Data for AI With Spring AI Function Calls

Aggregated on: 2025-01-22 23:17:19

The LLM can work with the knowledge it has from its training data. To extend the knowledge retrieval-augmented generation (RAG) can be used that retrieves relevant information from a vector database and adds it to the prompt context. To provide really up-to-date information, function calls can be used to request the current information (flight arrival times, for example) from the responsible system. That enables the LLM to answer questions that require current information for an accurate response. The AIDocumentLibraryChat has been extended to show how to use the function call API of Spring AI to call the OpenLibrary API. The REST API provides book information for authors, titles, and subjects. The response can be a text answer or an LLM-generated JSON response. For the JSON response, the Structured Output feature of Spring AI is used to map the JSON in Java objects.

Context is King: How LLMs Are Going to Change Code Generation in Modern IDEs

Aggregated on: 2025-01-22 22:17:19

For years, developers have dreamed of having a coding buddy who would understand their projects well enough to automatically create intelligent code, not just pieces of it. We've all struggled with the inconsistent naming of variables across files, trying to recall exactly what function signature was defined months ago, and wasted valuable hours manually stitching pieces of our codebase together. This is where large language models (LLMs) come in — not as chatbots, but as strong engines in our IDEs, changing how we produce code by finally grasping the context of our work. Traditional code generation tools, and even basic features of IDE auto-completion, usually fall short because they lack a deep understanding of the broader context; hence, they usually operate in a very limited view, such as only the current file or a small window of code. The result is syntactically correct but semantically inappropriate suggestions, which need to be constantly manually corrected and integrated by the developer. Think about suggesting a variable name that is already used at some other crucial module with a different meaning — a frustrating experience we've all encountered.

Streamline npm Packages: Optimize and Boost Performance

Aggregated on: 2025-01-22 21:02:19

Sluggish build times and bloated node_modules folders are issues that many developers encounter but often overlook. Why does this happen? The answer lies in the intricate web of npm dependencies. With every npm install, your project inherits not only the packages you need but also their dependencies, leading to exponential growth in your codebase. As a result, it can slow down your daily workflow, making it ineffective and introducing security vulnerabilities. In this piece, we’ll examine practical methods for auditing and refining your npm packages. By the end, you’ll have a clearer understanding of how to keep your project efficient and secure.

Caching Strategies for Resilient Distributed Systems

Aggregated on: 2025-01-22 20:32:19

There are only two hard things in Computer Science: cache invalidation and naming things. - Phil Karlton Caching is an important technique in system design and offers several benefits. With caching, you can improve the performance and availability of your system while simultaneously reducing the cost of operating your service. Caching is the Swiss army knife of system design.

How to Test QR Codes in Your Applications

Aggregated on: 2025-01-22 19:17:19

Building quality software is only possible with quality tests. Whether you write test scripts for QA engineers or build automated tests, tests help to ensure that your applications continue to function as they grow and evolve. However, using automated testing to verify correct behavior can be challenging if your application generates visual artifacts, such as QR codes. Granted, you can write unit tests to ensure your code for generating QR codes does what it should; however, the danger is that your tests will be too tightly coupled to your application code. You’ll need to update your tests whenever you change the application.

A Practical Guide to Creating a Spring Modulith Project

Aggregated on: 2025-01-22 18:17:19

Spring Modulith empowers developers to define logical application modules in their code, facilitating the creation of well-structured, domain-aligned Spring Boot applications. This approach introduces modular design principles to the Spring Framework, providing a more organized way to develop applications. The General Availability (GA) version was released in August 2023, and the current stable version at the time of writing this article is 1.3.1.

Serverless AI Inference

Aggregated on: 2025-01-22 17:32:19

Serverless computing is a cloud computing model where cloud providers like AWS, Azure, and GCP manage the server infrastructure, dynamically allocating resources as needed. Developers either invoke APIs directly or write code in the form of functions, and the cloud provider executes these functions in response to certain events. This means developers can scale applications automatically without worrying about server management and deployments, leading to cost savings and improved agility. The main advantage of serverless computing is that it abstracts away much of the complexity related to release management, and developers don’t need to worry about capacity planning, hardware management, or even operating systems. This simplicity frees up time and resources to focus more on building innovative applications and services on top of the deployed models.

Implementing Zero Trust Security in Kubernetes

Aggregated on: 2025-01-22 16:17:19

Kubernetes has grown to become the go-to platform for container orchestration. While the flexibility and scalability that make Kubernetes interesting also present substantial security challenges, perimeter-based security has become outdated in these organizations, and thus, they are willing to switch to the zero-trust security paradigm. In this article, we will explore how to implement Zero Trust Security in Kubernetes to provide DevOps teams with actionable best practices on how to fortify their environment with respect to emerging threats.

Hybrid Search Using Postgres DB

Aggregated on: 2025-01-22 15:17:19

With a traditional lexical-based (or keyword-based) search, we will find documents that contain the exact word we searched for. Keyword search excels at precision but struggles with alternate phrasing or natural language. Semantic search addresses these limitations by capturing the intent behind documents and user queries. This is typically done by leveraging vector embeddings to map documents and queries into a high dimensional space and computing vector similarity to retrieve relevant results.

Practical Coding Principles for Sustainable Development

Aggregated on: 2025-01-22 14:17:19

As I look back at my journey in software development, spanning a little more than fifteen years, I can remember all the numerous moments when my decisions under the pressure of a deadline either set a project up for success in the long run or cursed it with chronic headaches. Sustainable software development, I've come to realize, is little more than a buzzword. It's an overarching philosophy that informs how we write code, structure projects, and think about the future. Initially, I was lured by the excitement of delivering new features rapidly. But after seeing those same shortcuts morph into technical debt, I changed my approach: code that merely "works" today is not enough; it needs to remain robust and maintainable for years to come. Throughout this article, I'll share my firsthand experiences and the principles I've adopted for sustainable development. We'll talk about the real cost of quick fixes, the importance of simplicity in code, the technical tools and techniques that keep quality high (like Git, SonarQube, and automated testing frameworks), and the practices, such as code reviews and refactoring, that help us pay down technical debt before it spirals out of control. If there is one underlying theme to all this, it's that "less is more." Focusing on quality over quantity, and keeping our code lean, maintainable, and tested, we can solve problems not only for now but for the future.

Automate Serverless Deployments With Ansible and OCI

Aggregated on: 2025-01-22 13:32:19

Serverless computing has become a key part of modern applications, allowing for flexible scaling, lower costs, and event-based workflows. Oracle Cloud Infrastructure (OCI) Functions is a fully managed platform that lets the user run functions on demand. It supports multiple users, scales easily, and provides serverless computing. Ansible is a powerful automation tool that makes it easier to deploy OCI Functions. It works without needing agents and uses a straightforward, declarative approach. OCI Functions OCI Functions is Oracle’s Function-as-a-Service (FaaS) offering, based on the open-source Fn Project. Key features of OCI Functions include:

COM Design Pattern for Automation With Selenium and Cucumber

Aggregated on: 2025-01-21 23:32:19

The Component Object Model (COM) is a design pattern that allows you to structure tests in test automation projects. Inspired by the popular Page Object Model (POM), COM goes beyond handling entire pages and focuses on specific UI components, such as buttons, text fields, dropdown menus, or other reusable elements. In this tutorial, we will explain how to implement COM to test a web application with Selenium WebDriver and Cucumber and how this approach can make your tests more flexible, modular, and easier to maintain.

Build Your Own GitHub-Like Tool With React in One Hour

Aggregated on: 2025-01-21 22:32:19

GitHub is a widely used platform for version control and collaboration, enabling developers to store, manage, and share code repositories. It supports Git, a distributed version control system that allows multiple contributors to work on projects simultaneously. With features like pull requests, issue tracking, and code reviews, GitHub has become a vital tool for open-source and professional software development. Introduction Howdy! I’m Maulik Suchak, the creator of this project, and I’m excited to introduce you to my GitHub web application. MyGitHub is a public web app built for browsing repositories under specific organizations and diving into their commit histories.

5 Key Steps for a Successful Cloud Migration Strategy

Aggregated on: 2025-01-21 21:17:18

If you have not remodeled your business to the cloud, you have stayed behind your competitors. The first step towards optimizing business strategy is cloud migration. 80% of companies, from small to large, have shifted their services to the cloud. Cloud migration can enhance data security, functionality, scalability, and customer service and reduce costs. Businesses can store their data, software applications, and more components in the cloud. However, migration from one cloud to another or from local data centers to the cloud requires the right strategy to be considered.

Development of a Truck Tracker and Delivery Services Software

Aggregated on: 2025-01-21 20:17:19

As the logistics industry evolves, it requires advanced solutions to streamline operations and enhance efficiency. This case study explores the development of a truck tracker cum delivery services software built using React Native, RESTful APIs, and SQLite. The software caters to both drivers and management, providing features such as route mapping, delivery status updates, and real-time tracking. Objective The primary goal was to create a comprehensive logistics management tool that enables:

Choose a Database With Hybrid Vector Search for AI Apps

Aggregated on: 2025-01-21 19:32:19

More and more, we see data pipelines being built to move and prepare data for AI use cases. To avoid being too buzzwordy, we'll define "AI use-cases" for this article as "RAG (Retrieval Augmented Generation) applications" to provide documents for a 'chat’-like application. The goal is to "augment" the question you will be posting to an LLM (like ChatGPT) with additional content you "retrieved," e.g.: C You are a helpful in-store assistant. Your #1 goal in life is to help our employees and customers find what they need. Some helpful context is: {{ relevant_documents }} Your task is to answer the question: {{ prompt }} Please don’t make things up. Only return answers based on the context provided in this prompt.

Azure Web Apps: Seamless Deployments With Deployment Slots

Aggregated on: 2025-01-21 18:17:18

Suppose you work for a healthcare company that provides its services via a web platform. The user interface for this platform is set up as a PHP web app hosted in Azure App Services. Frequent updates to the app's source code are rolled out to production to enhance features or address bugs. However, these updates sometimes introduce problems: Undetected bugs: Despite rigorous testing, testers occasionally miss critical bugs, leading to issues in the production environment. Downtime: When bugs are identified, rolling back changes causes service interruptions, which frustrates end-users. Slow deployments: The deployment and compilation process affects app responsiveness, especially during peak usage times, leading to user dissatisfaction. Is there a better solution to ensure seamless updates without interrupting the services? Yes! Microsoft Azure offers a powerful feature known as deployment slots.

Creating Scrolling Text With HTML, CSS, and JavaScript

Aggregated on: 2025-01-21 17:02:18

When you’ve been building web applications for over 25 years, as I have done, using HTML, CSS, and JavaScript has become second nature. In this article, I’ll show you some simple ways to create scrolling text using these tools, including five different methods for coding scrolling text with plain HTML, HTML and CSS, and finally, HTML + CSS + JS.

How to Design Event Streams, Part 3

Aggregated on: 2025-01-21 16:17:18

See previous Part 1 and Part 2. The relationship between your event definitions and the event streams themselves is a major design. One of the most common questions I get is, “Is it okay to put multiple event types in one stream? Or should we publish each event type to its own stream?”

Structured Logging in Spring Boot 3.4 for Improved Logs

Aggregated on: 2025-01-21 15:17:18

Structured logging has become essential in modern applications to simplify the analysis of logs and improve observability. Spring Boot 3.4 extends the logging capabilities of Spring Framework 6.2. This can be easily configured log formats using application.yml or application.properties. Before jumping into the details of the improvements, below is a brief on how structured logging has evolved, with comparisons between traditional logging and structured logging in Spring Framework 6.2 and Spring Boot 3.4.

Multi-Cluster Kubernetes Sealed Secrets Management in Jenkins

Aggregated on: 2025-01-21 14:32:18

The Jenkins pipeline below automates the secure management of Kubernetes sealed secrets across multiple environments and clusters, including AKS (Non-Production), GKE (Production Cluster 1), and EKS (Production Cluster 2). It dynamically adapts based on the selected environment, processes secrets in parallel for scalability, and ensures secure storage of credentials and artifacts. With features like dynamic cluster mapping, parallel execution, and post-build artifact archiving, the pipeline is optimized for efficiency, security, and flexibility in a multi-cloud Kubernetes landscape.

OPC-UA and MQTT: A Guide to Protocols, Python Implementations

Aggregated on: 2025-01-21 13:17:18

The Internet of Things (IoT) is transforming industries by enabling seamless communication between a wide array of devices, from simple sensors to complex industrial machines. Two of the most prominent protocols driving IoT systems are OPC-UA (Open Platform Communications - Unified Architecture) and MQTT (Message Queuing Telemetry Transport). Each protocol plays a vital role in facilitating data exchange, but their use cases and strengths vary significantly. This article delves into how these protocols work, their advantages, and how to implement them using Python for creating robust IoT solutions.

AWS CloudTrail Insights for AWS Glue

Aggregated on: 2025-01-20 23:17:18

AWS CloudTrail Insights is a part of AWS CloudTrail that always checks API activity in your AWS account to spot unusual patterns and behaviors. CloudTrail Insights helps you find potential security risks, operational oddities, or resource setup problems by looking at CloudTrail logs and pointing out differences from normal activity. For AWS Glue, CloudTrail Insights can keep an eye on:

Seamless Transition from Elasticsearch to OpenSearch

Aggregated on: 2025-01-20 22:17:18

Elasticsearch and OpenSearch are powerful tools for handling search and analytics workloads, offering scalability, real-time capabilities, and a rich ecosystem of plugins and integrations. Elasticsearch is widely used for full-text search, log monitoring, and data visualization across industries due to its mature ecosystem. OpenSearch, a community-driven fork of Elasticsearch, provides a fully open-source alternative with many of the same capabilities, making it an excellent choice for organizations prioritizing open-source principles and cost efficiency. Migration to OpenSearch should be considered if you are using Elasticsearch versions up to 7.10 and want to avoid licensing restrictions introduced with Elasticsearch's SSPL license. It is also ideal for those seeking continued access to an open-source ecosystem while maintaining compatibility with existing Elasticsearch APIs and tools. Organizations with a focus on community-driven innovation, transparent governance, or cost control will find OpenSearch a compelling option.

Real-Time Data Streaming With AI

Aggregated on: 2025-01-20 21:32:18

Over the years, data has become more and more meaningful and powerful. Both the world and artificial intelligence move at a very quick pace. In this case, AI is very useful for implementations of real-time data use cases. Furthermore, streaming data with AI offers a competitive edge for businesses and industries. AI for real-time and streaming data analytics allows for the most current data to be managed in a timely, continuous flow, as opposed to the traditional way, with several batches of information being handled in varying intervals. Data silos with one platform for streaming and batching data are old news, and pipelines that simplify operations with automated tooling and unified governance are the way of the future.

Create a Custom Logger to Log Response Details With Playwright Java

Aggregated on: 2025-01-20 20:17:18

While working on the series of tutorial blogs for GET, POST, PUT, PATCH, and DELETE requests for API Automation using Playwright Java. I noticed that there is no logging method provided by the Playwright Java framework to log the requests and responses. In the REST-assured framework, we have the log().all() method available that is used for logging the request as well as the response. However, Playwright does not provide any such method. However, Playwright offers a text() method in the APIResponse interface that could be well used to extract the response text.

How to Edit a PowerPoint PPTX Document in Java

Aggregated on: 2025-01-20 19:17:18

Building applications for programmatically editing Open Office XML (OOXML) documents like PowerPoint, Excel, and Word has never been easier to accomplish. Depending on the scope of their projects, Java developers can leverage open-source libraries in their code — or plugin-simplified API services — to manipulate content stored and displayed in the OOXML structure. Introduction In this article, we’ll specifically discuss how PowerPoint Presentation XML (PPTX) files are structured, and we’ll learn the basic processes involved in navigating and manipulating PPTX content. We’ll transition into talking about a popular open-source Java library for programmatically manipulating PPTX files (specifically, replacing instances of a text string), and we’ll subsequently explore a free third-party API solution that can help simplify that process and reduce local memory consumption.

Evolution of Recommendation Systems: From Legacy Rules Engines to Machine Learning

Aggregated on: 2025-01-20 18:32:18

In the world of technology, personalization is the key to keeping users engaged and satisfied. One of the most visible implementations of personalization is through recommendation systems, which provide users with tailored content, products, or experiences based on their interactions and preferences. Historically, the first implementations of recommendation systems were built on legacy rule-based engines like IBM ODM (Operational Decision Manager) and Red Hat JBoss BRMS (Business Rule Management System). However, recent advances in machine learning have fundamentally changed how recommendations are generated. This article explores how legacy rules-based systems operate, their limitations, and how machine learning has disrupted this space.

A Guide to Deploying AI for Real-Time Content Moderation

Aggregated on: 2025-01-20 17:17:18

Content moderation is crucial for any digital platform to ensure the trust and safety of the users. While human moderation can handle some tasks, AI-driven real-time moderation becomes essential as platforms scale. Machine learning (ML) powered systems can moderate content efficiently at scale with minimal retraining and operational costs. This step-by-step guide outlines an approach to deploying an AI-powered real-time moderation system. Attributes of Real-Time Moderation System A real-time content moderation system evaluates user-submitted content — text, images, videos, or other formats — to ensure compliance with platform policies. Key attributes of an effective system include:

Building a Reactive Event-Driven App With Dead Letter Queue

Aggregated on: 2025-01-20 16:17:18

Event-driven architecture facilitates systems to reply to real-life events, such as when the user's profile is updated. This post illustrates building reactive event-driven applications that handle data loss by combining Spring WebFlux, Apache Kafka, and Dead Letter Queue. When used together, these provide the framework for creating fault-tolerant, resilient, and high-performance systems that are important for large applications that need to handle massive volumes of data efficiently. Features Used in this Article Spring Webflux: It provides a Reactive paradigm that depends on non-blocking back pressure for the simultaneous processing of events. Apache Kafka: Reactive Kafka producers and consumers help in building competent and adaptable processing pipelines. Reactive Streams: They do not block the execution of Kafka producers and consumers' streams. Dead Letter Queue (DLQ): A DLQ stores messages temporarily that could not have been processed due to various reasons. DLQ messages can be later used to reprocess messages to prevent data loss and make event processing resilient. Reactive Kafka Producer A Reactive Kafka Producer pushes messages in parallel and does not block other threads while publishing. It is beneficial where large data to be processed. It blends well with Spring WebFlux and handles backpressure within microservices architectures. This integration helps in not only processing large messages but also managing cloud resources well.

Optimizing Prometheus Queries With PromQL

Aggregated on: 2025-01-20 15:32:18

Prometheus is a powerful monitoring tool that provides extensive metrics and insights into your infrastructure and applications, especially in k8s and OCP (enterprise k8s). While crafting PromQL (Prometheus Query Language) expressions, ensuring accuracy and compatibility is essential, especially when comparing metrics or calculating thresholds. In this article, we will explore how to count worker nodes and track changes in resources effectively using PromQL.

Troubleshooting Connection Issues When Connecting to MySQL Server

Aggregated on: 2025-01-20 14:17:18

Encountering connection problems while accessing a MySQL server is a common challenge for database users. These issues often arise due to incorrect configuration, user permissions, or compatibility problems. Below are the most common errors and their solutions to help you resolve connection issues efficiently. 1. Error: Host ‘xxx.xx.xxx.xxx’ is not allowed to connect to this MySQL server Cause This error indicates that the MySQL server does not permit the specified host or user to access the database. It is typically due to insufficient privileges assigned to the user or client host. Solution To resolve this issue, grant the required privileges to the user from the MySQL command line:

Chain-of-Thought Prompting: A Comprehensive Analysis of Reasoning Techniques in Large Language Models

Aggregated on: 2025-01-20 13:32:18

Chain-of-thought (CoT) prompting has emerged as a transformative technique in artificial intelligence, enabling large language models (LLMs) to break down complex problems into logical, sequential steps. First introduced by Wei et al. in 2022, this approach mirrors human cognitive processes and has demonstrated remarkable improvements in tasks requiring multi-step reasoning[1]. CoT: Explanation and Definition What Is CoT? Chain-of-thought prompting is a technique that guides LLMs through structured reasoning processes by breaking down complex tasks into smaller, manageable steps. Unlike traditional prompting, which seeks direct answers, CoT encourages models to articulate intermediate reasoning steps before reaching a conclusion, significantly improving their ability to perform complex reasoning tasks [1].

Creating Artificial Doubt Significantly Improves AI Math Accuracy

Aggregated on: 2025-01-17 21:32:16

What makes an AI system good at math? Not raw computational power, but something that seems almost contradictory: being neurotically careful about being right. When AI researchers talk about mathematical reasoning, they typically focus on scaling up — bigger models, more parameters, and larger datasets. But in practice, mathematical ability isn’t about how much compute you have for your model. It’s actually about whether machines can learn to verify their own work, because at least 90% of reasoning errors come from models confidently stating wrong intermediate steps.

Dark Data: Recovering the Lost Opportunities

Aggregated on: 2025-01-17 19:17:16

Dark data may contain secret information that is valuable for corporate operations. Companies can lead the competition by gaining insights from dark data using the relevant tools and practices. Let's check what dark data is all about and how to use it to make smarter decisions.

Business Logic Database Agent

Aggregated on: 2025-01-17 17:17:16

In a recent interview, Satya Nadella prophesied the "end of SaaS" with Business Logic Database Agents. The vision was exciting and broad but indefinite. And, it sparked concerns — serious ones. In this article, we describe a definite (in fact, running) vision for such a system and how to deal with reasonable concerns raised in the comments.

Talk to Your Project: An LLM Experiment You Can Join and Build On

Aggregated on: 2025-01-17 15:17:16

Today, I want to share the story of a small open-source project I created just for fun and experimentation — ConsoleGpt. The process, results, and overall experience turned out to be fascinating, so I hope you find this story interesting and, perhaps, even inspiring. After all, I taught my project how to understand spoken commands and do exactly what I want. This story might spark new ideas for you, encourage your own experiments, or even motivate you to build a similar project. And of course, I'd be thrilled if you join me in developing ConsoleGpt — whether by contributing new features, running it locally, or simply starring it on GitHub. Anyone who's ever worked on an open-source project knows how much even small support means.