News Aggregator

Implementing Data Analytics in Healthcare: A Hands-On Approach

Aggregated on: 2025-07-21 16:14:24

When I first started working with healthcare businesses, one thing struck me right away: there is tons of data, but most of it is a mess. It’s usually stored in separate systems, in different formats, and is hard to aggregate and analyze. Getting this kind of data into shape takes more than just loading it into a database and writing a few queries. In this article, I’ll walk through some of the real challenges in building healthcare data analytics solutions based on my experience and suggest ways to overcome them.

Designing and Operating Single-Tenant Architectures at Scale

Aggregated on: 2025-07-21 15:14:24

Single-tenant architecture plays a very important role when driven by regulatory/compliance needs, workload isolation to improve security posture and improved performance with dedicated resources. At the same time, these architectures are highly complex and hard to manage, specifically at scale. In this post, we’ll explore common deployment patterns for single-tenant resources, walk through architecture examples, and share automation and observability best practices to run such environments at scale. This post is platform-agnostic and applicable across off-premise or on-premise setups.

ArchUnit, Unit Testing The Architecture

Aggregated on: 2025-07-21 14:14:24

Enforcing a specific package structure or architecture is very important. Especially in Java, where some things must be public to work correctly or actually be available outside their package. ArchUnit is an open-source library that will help you whenever the compiler is not enough. All of the code examples from this article are available in my GitHub repo.

Today’s Platform Engineer Needs to Build AI-Ready Infrastructure

Aggregated on: 2025-07-21 13:14:24

The demands on today’s platform engineers are evolving at breakneck speed. What began as a natural evolution from DevOps has transformed into a distinct discipline with expanding responsibilities. Today’s platform engineers find themselves at an inflection point: they must not only manage increasingly complex cloud-native environments but also architect the foundation for Artificial Intelligence (AI) across the enterprise. This mandate requires rethinking infrastructure from the ground up to support the unique demands of AI workloads. It’s undeniable, however, that this role and shift are both necessary. Gartner states that by 2026, 80% of large software engineering organizations will establish platform engineering teams as internal providers of reusable services, components and tools for application delivery — up from 45% in 2022. By 2027, its adoption is expected to significantly impact how infrastructure and operations teams make technology choices, influencing more than half of their decisions.

1-Line IO in Java

Aggregated on: 2025-07-21 12:14:24

Here is a quick coding challenge for all Java developers: How many lines of code do you need to implement the following tasks, using the JDK and any library of your choice? (Rules of the game: Lines of code are counted using standard formatting, you need to close any opened resources, the code may throw IOExceptions, except if stated otherwise):

Log Spikes? No Sweat: How Top DevOps Teams Tame Bursty Workloads

Aggregated on: 2025-07-21 11:29:24

Taylor Swift ticket sales brought the entire platform to its knees… a crypto exchange saw 10x its regular traffic during a price swing… holiday deals dropped at midnight, and retail sites scrambled to keep up. These weren’t just high-traffic moments. They were log storms. For DevOps teams in bursty verticals like media, fintech, gaming, and retail, moments like these are make-or-break. Whether the spike is planned (like a product drop) or unpredictable (like an influencer mention), what happens behind the scenes is intense: logging pipelines can flood, ingestion costs can surge, and dashboards often freeze when you need them the most.

How to Expose IBM FS Cloud Container App to Public

Aggregated on: 2025-07-18 20:29:23

Are you looking for a way to expose your containerized applications to the internet without breaking compliance with IBM Cloud for Financial Services? This guide walks through how to do just that. It shows how to securely expose your apps using the IBM Cloud Framework for Financial Services, with a focus on the IBM Cloud Private Path Service. This service helps you route external traffic to private clusters over secure, compliant VPC-to-VPC connections.

Automation of IT Incident Reports Using Observability API and GenAI

Aggregated on: 2025-07-18 19:14:22

Recently, I was involved in automating the preparation of IT incident reports by integrating monitoring solutions and generative AI. This post is to share my observations during this ongoing exercise. It outlines how to leverage the power of the AI service to interpret alerts generated by an observability solution (in this case, eG Enterprise Suite). It utilized the Gemma AI model, running locally via Ollama for on-premise users, and the Llama-3.1 AI model with OpenAI for those with internet connectivity. The outcome of this exercise resulted in faster understanding of system issues and potential remediation steps. It automates the incident report creation by a Level 1 engineer.

AI-Driven Threat Hunting: Catching Zero Day Exploits Before They Strike

Aggregated on: 2025-07-18 18:14:22

Picture this: you're a cybersecurity pro up against an invisible enemy. Hidden in your network are zero-day exploits, which represent unknown vulnerabilities that await their moment to strike. The time you spend examining logs becomes pointless because the attack might already be causing harm. AI-driven threat hunting emerges as your most valuable new ally. Your network receives a real-time protection system through AI, which functions like a super-intelligent guard dog that detects threats. The following article explains how AI detects hard-to-find threats while demonstrating its real-world impact and providing Python-based instructions to create your own threat-hunting tool. Buckle up, let’s go! Why AI Matters in the Fight Against Zero Days Cybersecurity has come a long way from the days of simple virus scanners and static firewalls. Signature-based defenses were sufficient to detect known malware during the past era. Zero-day exploits operate as unpredictable threats that traditional security tools fail to detect. The technology sector saw Microsoft and Google rush to fix more than dozens of zero day vulnerabilities which attackers used in the wild during 2023. The consequences reach extreme levels because a single security breach results in major financial losses and immediate destruction of corporate reputation.

Burn that List: Smarter Use of Allowlists and Denylists in Multi-Tenant Systems

Aggregated on: 2025-07-18 17:14:22

In multi-tenant systems—whether you're managing an API gateway, identity platform, or SaaS product—access control is essential. Two of the most widely used tools for managing that access are allowlists and denylists. These mechanisms define who or what is permitted or rejected, helping isolate tenants, control risk, and enforce trust boundaries. But despite their simplicity, both lists can easily become operational liabilities if not carefully managed. This article explores real-world examples of allowlists and denylists, how to store and govern them, and why every list needs a plan to die. What Are Allowlists and Denylists? An allowlist is a list of explicitly approved entities—users, IPs, tenants, apps, or domains—that are permitted to access a resource. Everything else is denied by default. A denylist is the opposite: a list of explicitly blocked entities; everything else is allowed. In simple terms, allowlists implement default-deny behavior, while denylists implement default-allow with overrides. Choosing between them depends on the nature of what you're protecting, how dynamic your environment is, and how clearly you can define trust.

Building AI Agents Capable of Exploring Contextual Data for Taking Action

Aggregated on: 2025-07-18 16:14:22

Artificial intelligence is on a rapid evolutionary track, and the once awe-inspiring conversational capabilities of ChatGPT raise very few eyebrows these days. AI developers are shifting into a higher gear, and these days, the focus is all about agents. They’re building more advanced AI systems that transform large language models into thinkers, decision-makers, and action-takers, which can automate many kinds of work. To create an AI agent, the developer must assign an LLM to a specific role, assign it a clear goal to accomplish, and provide access to the necessary resources for the agent to fulfill its mission. When AI agents are focused on a clearly defined objective and can utilise APIs, web browsers, search engines, and databases as humans do, they can autonomously determine how to perform the assigned task.

How We Built a Smarter University Chatbot Using LLaMA2, AWS SageMaker, and RAG

Aggregated on: 2025-07-18 15:14:22

Every semester, university IT helpdesks are overwhelmed by repetitive queries from students — from course registration deadlines to tuition fees and campus services. Most existing systems either rely on outdated FAQs or rigid bots that can't adapt to multiple languages or real-time updates. Recognizing this gap, we developed a smarter, multilingual chatbot using LLaMA2, AWS SageMaker, LangChain, and Milvus, built around a Retrieval-Augmented Generation (RAG) pipeline. The Need for Smarter Campus Support Higher education institutions face growing demands to modernize how students interact with campus services. Traditional IT support models don’t scale well — especially when students ask the same questions repeatedly. Even chatbots built on rule-based logic often fall short due to poor language handling, limited context awareness, and rigid workflows. By mid-semester, helpdesk queues are swamped, leading to delays and user frustration.

Developing Secure REST API Using Spring Boot SSL Bundle Feature

Aggregated on: 2025-07-18 14:14:22

Secure Sockets Layer (SSL) is a key component in securing communication between systems, especially in layered or service-oriented architectures. In such environments, a typical Spring Boot service might expose a REST endpoint, which is then consumed by another Spring Boot service acting as a client. When a host service exposes a secure endpoint, it must ensure that only authorized services are allowed to connect.

Build AI Agents With MCP Server in C# and Run in VS Code

Aggregated on: 2025-07-18 13:14:22

Relatively newer AI agents based on large language models (LLMs), such as GPT-4o, Claude, or Gemini, are very proficient at general reasoning and answering broad questions. However, they usually struggle with domain-specific queries—like “Give me only Dell devices information”—because they don’t have access to proprietary, internal, or organization-level data. To answer these kinds of questions correctly, an LLM requires more than just a prompt: it needs contextual information made available through trusted internal sources. This article shows you how to build an AI agent that can access and use domain-specific context, thanks to the Model Context Protocol (MCP). It includes a code example of custom MCP Server creation and demonstrates how an MCP Host (in this case, VS Code) talks to the server and uses a Tool.

Practical Steps to Secure the Software Supply Chain End to End

Aggregated on: 2025-07-18 12:44:22

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Software Supply Chain Security: Enhancing Trust and Resilience Across the Software Development Lifecycle. The software supply chain has rapidly evolved into a critical vulnerability point and primary target for malicious actors. As we progress in 2025, organizations face an increasingly complex and dynamic threat landscape. This article offers a practical checklist for securing the software supply chain and clarifies the pivotal role of zero trust.

From Drift to Discipline: Operating Model for Regaining Enterprise Cloud Control

Aggregated on: 2025-07-18 12:29:22

Today’s biggest enterprise bets — AI, global scale, real-time everything — don’t just run on cloud infrastructure. They depend on it. But most enterprise infrastructure still operates in a state of reactive chaos. Cloud sprawl. Shadow resources. Security risks hiding in plain sight. Infrastructure built on the best intentions… all held together by duct tape and drift.

The Hidden World of Exit Codes: Tiny Integers With Big Meanings

Aggregated on: 2025-07-18 12:14:22

It's not what you say, it's how you say it - Albert Mehrabian In the land of your favorite TTY, the output (stdout, stderr) of the commands themselves are often not looked at, specifically within scripts that are meant to run in those terminals.

Implementing Event-Driven Systems With AWS Lambda and DynamoDB Streams

Aggregated on: 2025-07-18 11:14:22

As cloud-native architectures become the norm, developers are increasingly turning to event-driven design for building scalable and loosely coupled applications. One powerful pattern in this space leverages AWS Lambda in combination with DynamoDB Streams. This setup enables real-time, serverless responses to data changes—without polling or manual infrastructure management. This article explains how to implement an event-driven system using DynamoDB Streams and AWS Lambda. A step-by-step implementation example using LocalStack is also included to demonstrate how the architecture can be simulated locally for development and testing purposes.

Terraform vs Pulumi vs SST: A Tradeoffs Analysis

Aggregated on: 2025-07-17 20:14:22

Defining a deployment strategy is a key concern for any new software project. While Infrastructure as Code (IaC) has become the industry standard for provisioning and managing cloud infrastructure, choosing the best-fitting one among several viable options can be difficult. In this article, I look at three popular tools for writing infrastructure code and which one I would recommend based on the circumstances of the project. First though, let's start with some basics.

How Hackers Exploit Spring Core Vulnerability in 2025: Proactive Measures to Detect Emerging Cyber Threats

Aggregated on: 2025-07-17 19:14:22

API management has emerged as a critical and strategic factor in staying ahead of the market leaders. However, digital transformation has significant disadvantages, such as opening the door to hackers. Hackers have been quick to take advantage of a serious flaw in Spring Core, commonly known as SpringShell or Spring4Shell among security experts. The cybercriminal sends a specially created query to the Spring Core framework's web application server.

The Twelve-Factor Agents: Building Production-Ready LLM Applications

Aggregated on: 2025-07-17 18:14:22

After exploring and publishing articles around observability tools and architectural patterns related to AI Agents, I came across an interesting talk by Dex Horthy on YouTube and the Twelve-Factor Agent. This article delves into the concept of the Twelve-Factor Agent, an architectural pattern designed to create robust, scalable, and maintainable applications, particularly in the context of modern cloud environments. We will explore the core principles of this approach and how they contribute to building applications that are well-suited for deployment and operation in dynamic and distributed systems. The rise of large language models (LLMs) has created unprecedented opportunities for building intelligent applications, but it has also introduced new challenges for software engineering. The Twelve-Factor Agent methodology represents a set of principles for building LLM-powered software that's reliable enough to put in the hands of production customers, drawing inspiration from the original Twelve-Factor App methodology by Heroku.

The Underrated Hero of UI Testing: Why Screenshot Testing Matters

Aggregated on: 2025-07-17 17:14:22

As an Android engineer with years of experience, including six dedicated to screenshot testing, I’ve seen firsthand how this often-overlooked testing strategy can save teams from major headaches. While unit and integration tests dominate conversations about code quality, screenshot testing quietly stands out as a game-changer – especially for apps with complex design systems, multiple localizations, and countless UI states. Despite its niche popularity, screenshot testing is one of the most efficient ways to catch visual regressions early. In this article, I'll explore why every Android project should integrate screenshot testing into its CI/CD pipeline and why Paparazzi currently stands out as the most effective tool.

Best Practices for Syncing Hive Data to Apache Doris : From Scenario Matching to Performance Tuning

Aggregated on: 2025-07-17 16:29:22

In the realm of big data, Hive has long been a cornerstone for massive data warehousing and offline processing, while Apache Doris shines in real-time analytics and ad-hoc query scenarios with its robust OLAP capabilities. When enterprises aim to combine Hive’s storage prowess with Doris’s analytical agility, the challenge lies in efficiently and reliably syncing data between these two systems. This article provides a comprehensive guide to Hive-to-Doris data synchronization, covering use cases, technical solutions, model design, and performance optimization.

Migrating Traditional Workloads From Classic Compute to Serverless Compute on Databricks

Aggregated on: 2025-07-17 15:14:22

This article walks us through the process of how to migrate traditional workloads using Classic Compute to Serverless Compute for efficient cluster management, cost effectiveness, better scalability and optimized performance. Overview As data engineering evolves, so do the infrastructure needs of enterprise workloads. With growing demands for agility, scalability, and cost-efficiency, Databricks Serverless Compute provides a compelling alternative to classic clusters. In this article, we explore a practical roadmap to migrate your pipelines and analytics workloads from classic compute (manual clusters or job clusters) to Databricks Serverless Compute, with specific attention to data security, scheduling, costs, and operational resilience.

Rapid AWS Prototyping With LocalStack: A Developer’s Guide to Building AWS PoCs Locally

Aggregated on: 2025-07-17 14:14:22

Proof of Concepts (PoCs) play a critical role in modern software development. They allow engineers and architects to validate technical assumptions, test integrations, and explore new ideas quickly and with minimal investment. When working with Amazon Web Services (AWS), however, even simple experimentation often requires deploying cloud infrastructure. This can be time-consuming, costly, and constrained by organizational permissions. Enter LocalStack — a fully functional AWS cloud emulator that enables developers to simulate AWS services entirely on their local machines. By replicating AWS APIs and service behavior, LocalStack empowers teams to build and iterate faster without depending on live cloud environments.

11 Best Practices for Developing Secure Web Applications

Aggregated on: 2025-07-17 13:14:22

Applications related to the web enable business, e-commerce, and user interactions to be the backbones of the e-world of a more and more digital world. In this growth, there is one thing that has gone up, and that is web application security. Insecure web applications can lead to severe consequences such as data breaches and ransomware attacks, resulting in significant financial losses, legal liabilities, and reputational damage. Given the growing sophistication of cyber threats, it's crucial for both developers and business stakeholders to prioritize security from day one. This blog outlines 11 essential best practices for web application development to help you build robust, resilient, and attack-resistant systems.

AI-Powered Security for the Modern Software Supply Chain: Reinforcing Software Integrity in an Era of Autonomous Code and Expanding Risk

Aggregated on: 2025-07-17 12:59:22

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Software Supply Chain Security: Enhancing Trust and Resilience Across the Software Development Lifecycle. In today's software landscape, the supply chain has grown from a controlled pipeline to a vast, interconnected ecosystem. Modern development relies heavily on third-party dependencies, open-source components, distributed CI/CD pipelines, and ephemeral cloud-native environments. While this fosters rapid innovation, it also amplifies risk exposure. High-profile breaches like SolarWinds and Log4Shell revealed how a single weak link can cascade across thousands of organizations.

Simplifying Code Migration: The Benefits of the New Ampere Porting Advisor for x86 to Arm64

Aggregated on: 2025-07-17 12:29:22

The demand for efficient software porting solutions is increasing. With the transition from legacy x86 to Arm64 — and particularly Ampere processors — gaining momentum, developers are looking for ways to expedite the migration of existing codebases. The Ampere Porting Advisor, available via Github's page, is intended to assist with this process. The tool provides a streamlined migration process, allowing developers to save time and effort. It automates many of the manual steps involved in porting code, reducing the risk of errors, and ensuring consistency throughout the migration. By analyzing the source code, the advisor provides detailed insights into the required changes, highlights potential pitfalls, and recommends optimal modifications. This guidance enables developers to navigate the intricacies of transitioning between architectures more efficiently, and accelerates the overall migration process.

Fraud Detection in Mobility Services With Apache Kafka and Flink

Aggregated on: 2025-07-17 12:14:22

Mobility services like Uber, Grab, FREE NOW (Lyft), and DoorDash are built on real-time data. Every trip, delivery, and payment relies on accurate, instant decision-making. But as these services scale, they become prime targets for sophisticated fraud—GPS spoofing, fake accounts, payment abuse, and more. Traditional, batch-based fraud detection can’t keep up. It reacts too late, misses complex patterns, and creates blind spots that fraudsters exploit. To stop fraud before it happens, mobility platforms need data streaming technologies like Apache Kafka and Apache Flink for fraud detection. This blog explores how leading platforms are using real-time event processing to detect and block fraud as it happens—protecting revenue, user trust, and platform integrity at scale. The Business of Mobility Services (Ride-Hailing, Food Delivery, Taxi Aggregators, Etc.) Mobility services have become an essential part of modern urban life. They offer convenience and efficiency through ride-hailing, food delivery, car-sharing, e-scooters, taxi aggregators, and micro-mobility options. Companies such as Uber, Lyft, FREE NOW (former MyTaxi; acquired by Lyft recently), Grab, Careem, and DoorDash connect millions of passengers, drivers, restaurants, retailers, and logistics partners to enable seamless transactions through digital platforms.

Optimizing Cloud Costs With Serverless Architectures: A Technical Perspective

Aggregated on: 2025-07-17 11:14:22

Abstract Serverless computing has fundamentally transformed cloud architecture, particularly for scale-out stateless applications. This paper explores the services provided by serverless architectures in general and Function-as-a-Service (FaaS) specifically in reducing cloud costs. Serverless computing eliminates the need for provisioning and managing static resources by leveraging a pay-per-use pricing model. The deliverables include various cost optimization techniques, such as dynamic resource scaling, efficient function design, and optimized data management, all while maintaining a balance between performance and cost. Practical case studies illustrate real-world applications of serverless architectures in large-scale optimization problems and latency-sensitive services.

The Invisible Risk in Your Middleware: A Next.js Flaw You Shouldn’t Ignore

Aggregated on: 2025-07-16 20:14:21

Web development in 2025 has evolved at an incredible pace. We’ve gone from clunky monoliths to sleek, scalable apps powered by frameworks like Next.js, which millions of developers now rely on for building modern, server-rendered React applications. But as our tools get more advanced, so do the threats.

Optimizing Your IDP Using Centralized Configuration Management With IBM Cloud App Configuration: A Complete Guide

Aggregated on: 2025-07-16 19:14:21

Internal Developer Platforms (IDPs) are becoming essential for boosting efficiency, scalability, and security. These platforms are designed by platform engineering teams with developers in mind, ensuring they have the right tools to streamline their workflows. At the heart of every IDP are five key components (next section) that keeps everything running smoothly. IBM Cloud App Configuration (IBM Cloud AC) plays a crucial role in this ecosystem to do centralized configuration management. It offers a scalable, fault tolerant, and secure way to manage dynamic configurations, feature flags, and access (allow listing) management which is all access controlled. It seamlessly aligns with the core components of an IDP, helping teams maintain flexibility and control.

Streamline Your ELT Workflow in Snowflake With Dynamic Tables and Medallion Design

Aggregated on: 2025-07-16 18:14:21

Snowflake offers Dynamic Tables, a declarative way to build automated, incremental, and dependency-aware data transformations. They modernize your data pipelines by delivering real-time insights at scale, with minimal operational overhead. What Are Dynamic Tables? Dynamic Tables are auto-updating, materialized tables in Snowflake that handle your transformation logic for you. All you need to do is define:

Engineering High-Scale Real Estate Listings Systems Using Golang, Part 1

Aggregated on: 2025-07-16 17:14:21

In high-scale real estate platforms, the real challenge isn’t just about fetching listings, it’s about processing and serving millions of records across diverse MLS (Multiple Listing Service) providers with speed, resilience, and cost-efficiency. Whether you’re integrating with the United States’ BrightMLS or Canada’s TRREB, each MLS comes with its own quirks: varying data models, inconsistent metadata, irregular update cycles, and evolving schemas. At scale, those differences are edge cases no longer; they’re daily roadblocks. Your backend must not only ingest and normalize terabytes’ worth of listing data but also cope with real-time sync, deduplication, tagging, scoring, and advanced filtering, bottleneck-free. For our team at a high-flying Vancouver-based real estate startup, the answer was to design a system in Go (Golang) that would tolerate high concurrency, have hard memory limits, and operate under realistic production pressure.

Making AI Faster: A Deep Dive Across Users, Developers, and Businesses

Aggregated on: 2025-07-16 16:29:21

AI isn’t just about building smarter models—it's about making them practical, performant, and scalable. This means solving for three interdependent axes: speed, quality, and cost. Let’s break down why these matter across three critical stakeholder perspectives: End Users expect seamless, trustworthy, and responsive AI experiences. AI Developers need faster iteration loops, debuggable pipelines, and scalable training. Business Stakeholders demand ROI, cost efficiency, and regulatory compliance. Think of AI powering a voice assistant or a self-driving car or any other AI use-case. Speed determines usability, accuracy builds trust, and cost dictates feasibility. I am writing these articles as a three part series to help discover practical strategies to accelerate AI development, boost performance, and optimize costs without compromising innovation. Drawing from real-world experiences, we will discuss Making AI Faster, Better, Cheaper.

Real-Time Webcam-Based Sign Language and Speech Bidirectional Translation System

Aggregated on: 2025-07-16 15:14:21

Introduction Communication between deaf individuals who rely on sign language and those who do not understand sign language remains a significant challenge. Globally, an estimated 466 million people have disabling hearing loss and rely on visual languages like American Sign Language (ASL) as their primary means of communication. Without an interpreter, deaf persons often face barriers in everyday interactions such as education, healthcare, and customer service. AI-powered sign language translation offers a promising solution by automatically translating sign language into spoken/written language and vice versa, thereby closing the divide in communication. Recent advances in computer vision and deep learning enable robust recognition of hand gestures and facial expressions, while NLP and speech technologies can generate fluent sign language or speech output. The objective of this research is to design a two-way translation system that: (1) recognizes sign language from webcam video and converts it to text and audible speech in real time, and (2) converts spoken language (voice) into accurate sign language, presented via an animated avatar. By facilitating bidirectional communication, such a system can greatly enhance the independence and social integration of deaf and hard-of-hearing individuals. In the following sections, we discuss background and related work in sign language recognition and synthesis, detail our methodology including the AI models and system architecture, present experimental results, and examine the impact on the deaf community along with future research directions. Related Work Early approaches to automated sign language translation involved instrumented gloves or heuristic computer-vision techniques. For example, instrumented glove devices with sensors have been used to capture hand motions, but these solutions can be intrusive and limited to specific vocabularies. With the rise of computer vision, focus shifted to camera-based sign language recognition. Traditional vision methods employed techniques like skin-color segmentation and handcrafted features (e.g., Haar-like features or optical flow) to detect hand gestures, but often struggled with variability in lighting and sign execution.

Data Ingestion: The Front Door to Modern Data Infrastructure

Aggregated on: 2025-07-16 14:14:21

Businesses thrive on data—but only if that data is ingested effectively. Whether it’s retail transactions, IoT sensor readings, financial records, or user interactions, the ability to collect and move data into operational and analytical systems is mission-critical. Data ingestion is no longer just an ETL job; it’s the front door to modern data infrastructure. With growing data volumes, real-time use cases, and stricter compliance requirements, organizations must architect ingestion pipelines that are scalable, secure, and purpose-built. AWS offers a rich set of ingestion services, but how do you choose the right one for your business needs?

ZapBot: Building a Chatbot With OpenAI and Gradio

Aggregated on: 2025-07-16 13:14:21

Chatbots have become a foundational element of modern digital systems, revolutionizing the way businesses and individuals interact with users and automate workflows. Their importance lies in their ability to deliver instant, scalable, and personalized communication while reducing the need for human intervention. As artificial intelligence and natural language processing evolve, chatbots are increasingly capable of handling complex tasks with high efficiency and consistency. One of their key advantages is the enhancement of user experience. By offering 24/7 availability and consistent responses, chatbots improve customer satisfaction and reduce service delays. For instance, retail websites use chatbots to assist users with product searches or order tracking, providing real-time support around the clock.

Maximizing Return on Investment When Securing Our Supply Chains: Where to Focus Our Limited Time to Maximize Reward

Aggregated on: 2025-07-16 12:59:21

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Software Supply Chain Security: Enhancing Trust and Resilience Across the Software Development Lifecycle. The goal of DevOps and DevSecOps — and whatever future contractions come next — has been to break down walls, but in practice, it usually means that developers take on a greater burden. Now, developers are not just responsible for delivering a satisfactory product on time, but also managing the operations and security of the product. This begs the question: Is it possible for developers to accomplish all of this? The answer is yes, but only if we spend our time wisely.

Compliance Automated Standard Solution (COMPASS), Part 8: Agentic AI Policy as Code for Compliance Automation With Prompt Declaration Language

Aggregated on: 2025-07-16 12:14:21

(Note: A list of links for all articles in this series can be found at the conclusion of this article.) In the last two blog posts of this multi-part series on continuous compliance, we presented Compliance Policy Administration Centers (CPAC) that facilitate the management of various compliance artifacts connecting the Regulatory Policies expressed as Compliance-as-Code with technical policies implemented as Policy-as-Code. This bridging is the key enabler of end-to-end continuous compliance: from authoring controls and profiles to mapping to technical policies and rules, to collecting assessment results from the policy engines, and finally to aggregating them against regulatory compliance into an encompassing posture for the whole environment. A critical limitation that surfaces for the compliance teams is their shortage on technical resources and skills, making the task of bridging into technology level programatic rules, check, and evidence collection extremely challenging.

Debug Like a Pro in 2025: 10 New Eclipse Java Debugger Features to Enhance Your Productivity (With Spring Boot Examples)

Aggregated on: 2025-07-16 11:14:21

You’re debugging a bug related to inflated ratings in the /books/{id}/summary endpoint. You drop a breakpoint in BookService.getAverageRating(String), step through the code, and inspect the reviews list in the Variables view. Everything looks fine… until you spot a suspicious entry, a review for the same user added more than once. You pause and think: “Hmm… maybe these duplicate entries are causing the issue. Should I be using a Set instead of a List?” So, you try to locate where this reviews variable is declared. And that’s when it hits you, the code isn’t exactly minimal! 1. Navigate to Variable Declaration - “Which Variable Is This? I’ve Seen That Name 5 Times Already..”

Securing Software Delivery: Zero Trust CI/CD Patterns for Modern Pipelines

Aggregated on: 2025-07-15 20:14:21

Modern CI/CD pipelines are essential for rapid and reliable software delivery. But as pipelines automate more stages of the development lifecycle—from code validation to production deployment—they have also become a major target for exploitation. Traditional pipelines often operate on broad trust: long-lived credentials, shared secrets, unverified execution environments, and permissive access controls. These assumptions introduce significant risks in today’s cloud-native infrastructure, where build agents may be ephemeral, distributed across regions, and provisioned dynamically.

Decoding Database Speed: Essential Server Resources and Their Impact

Aggregated on: 2025-07-15 19:14:21

This article examines the critical server resources, including CPU, storage, throughput, IOPS, memory, disk queue depth, latency, and disk swapping, that collectively impact database performance. Using a "restaurant kitchen" analogy, it demystifies how each component contributes to data processing efficiency. The piece explains the consequences of resource bottlenecks. It offers practical tuning strategies, from query optimization and hardware upgrades to proper memory management and I/O best practices, emphasizing the importance of continuous monitoring for optimal database health.Introduction Databases are the silent workhorses powering everything from online shopping to critical business operations. Just like a high-performance car needs a finely tuned engine, a production database server relies on a delicate balance of computing resources to deliver optimal speed and reliability. When these resources are mismanaged or insufficient, the entire system can grind to a halt, leading to frustrated users and lost revenue. This article will delve into the core resources that impact database performance, including CPU, storage, storage throughput, IOPS, memory, disk queue depth, read/write IOPS, read/write latency, and disk swapping. It will explain their roles, how they affect database operations, and provide practical strategies for tuning them.

Dashboards Are Dead Weight Without Context: Why BI Needs More Than Visuals

Aggregated on: 2025-07-15 18:14:21

Every BI engineer has been there. You spend weeks crafting the perfect dashboard, KPIs are front and center, filters are flexible, and visuals are clean enough to present to the board. But months later, you discover that no one is actually using it. Not because it’s broken, but because it doesn’t drive action. This isn’t an isolated issue, it’s a systemic one. Somewhere between clean datasets and elegant dashboards, the *why* behind the data gets lost. Business Intelligence, in its current form, often stops at the surface: build reports, refresh data, and move on. But visuals aren’t enough. What matters is decision utility, the actual ability of a data asset to influence strategy, fix problems, or trigger workflows.

Migrating SQL Failover Clusters Without Downtime: A Practical Guide

Aggregated on: 2025-07-15 17:29:21

When your SQL Server failover cluster is running on aging hardware or an older OS, migrating to something modern without breaking production can feel intimidating. I've been there. Our team had to move a live SQL cluster to new servers running Windows Server 2022, backed by an HPE SAN, all while keeping the apps that depended on it happy and uninterrupted. Here's exactly how we pulled it off and what we learned along the way. SQL downtime isn't just a minor disruption in many businesses, it's a full-on blocker. Reporting pipelines fail. ERP systems lock up. Even simple user-facing portals might end up in black hole. We couldn’t afford that kind of ripple effect, which is why this migration had to be seamless.

Analysis of the Data Processing Framework of Pandas and Snowpark Pandas API

Aggregated on: 2025-07-15 16:29:21

This article explains the process of how to migrate existing Pandas Workflows to Snowpark Pandas API, allowing for efficient scaling up of data processing needs without needing a full code rewrite. It is a pretty much lift and shift approach to have the data processing workflows up and running in minimal time and in a highly secure environment. Prerequisites Expertise in Python Scripting of versions 3.8 and up Knowledge of basic and complex SQL for scripting Snowflake Account Snowflake Warehouse Usage permissions AWS S3/Cloud External Stage and Access Integration Introduction Pandas has been the go-to library for data manipulation and analysis. As datasets grow in volume and variety, the traditional Pandas can have implications with memory limitations and performance bottlenecks. Snowpark Pandas API — a promising tool that brings the power of distributed computing to the Pandas API, within the secure environment of Snowflake.

How to Build a Real API Gateway With Spring Cloud Gateway and Eureka

Aggregated on: 2025-07-15 15:14:21

API gateways are essential in a microservices architecture. But building one that's real-world-ready, secure, scalable, and service-aware will require more than just wiring a few annotations.

The Architecture That Keeps Netflix and Slack Always Online

Aggregated on: 2025-07-15 14:14:21

Takeaways Cell-based architecture provides fault tolerance by breaking down the system into distinct, self-contained, independent cells that scale, perform function, and fail independently. These independent units minimize blast radius and allow for fast recovery, making them a best fit for high-availability setups where uptime is critical. Containers, and Docker specifically, facilitate standardized deployment and management of isolated cells across different environments and cloud zones. This style of architecture supports independent teams, faster deployment frequencies, and availability in many different domains of failures. The pattern does add system complexity, yet it creates more resilience in operations when routing, visibility, and rollbacks are well implemented. Introduction: Why Resilience Is Architectural In the cloud infrastructure of the modern era, you cannot append resilience. It must be integrated into the very infrastructure of the system. When applications scale to tens of millions of users and across multiple world regions, the long-standing assumptions of high availability fail under the weight. Even with multi-AZ deployment, replication, and autoscaling, the systems will be brittle and prone to correlated failures. They are not just technical errors. They are system-wide failures that cascade through monolithic deployments, centralized control planes, and tightly coupled microservices. A malfunctioning process in one region will cause a chain effect, flooding shared services, taking down dependency nodes, and blurring observability pipelines.

Advanced SSL Certificate Troubleshooting for Windows: Chain of Trust, Debugging, and Best Practices

Aggregated on: 2025-07-15 13:14:21

SSL/TLS certificates are foundational to secure communications on the internet. However, Windows environments present unique challenges that go beyond basic certificate installation and troubleshooting. If you’re already familiar with SSL fundamentals, you’ll want to know how to handle complex certificate chain issues, trust store discrepancies, and advanced debugging scenarios. This article builds on the foundational knowledge discussed in my previously published article, Troubleshooting SSL: Why Your SSL Certificate Isn’t Working on Windows, and expands on the chain of trust concepts detailed in another article, Chain of Trust: Decoding SSL Certificate Security Architecture. Here, we dive deeper into enterprise-grade troubleshooting, real-world examples, and robust best practices for Windows administrators, developers, and security professionals.

API Standards ARE Data Standards

Aggregated on: 2025-07-15 12:14:21

Aside from those who have ignored technology trends for the last twenty years, everyone else is aware of — and likely working with — service-based architectures, whether micro, domain-driven, modulith, integration, data, or something else. From service-based, we’ve evolved to API-First, where APIs are first-class deliverables around which all solutions are built: front-end, back-end, mobile, external integrations, whatever. The APIs are intended to be implemented before other development work starts, even if the initial implementation is stubbed out, dummy code that allows other work to begin. API-First revolves around the contract. “Amelia in Code” by donnierayjones is licensed under CC BY 2.0.