News Aggregator

Quantum Cloud Computing: The Future of Cloud Computing Technology

Aggregated on: 2025-04-07 19:28:21

Quantum cloud computing is a merge of quantum and cloud technology and a new computational model in capabilities. It can potentially tackle complex issues well beyond conventional computers' capabilities. With quantum mechanical processes, including quantum interference, quantum entanglement, and quantum superposition, quantum cloud computing brings unparalleled computational capabilities over the cloud and allows companies and researchers to execute quantum algorithms with no in-house quantum infrastructure.

How I Taught OpenAI a New Programming Language With Fine-Tuning

Aggregated on: 2025-04-07 18:28:21

If you go to ChatGPT and ask it about Hyperlambda, at best, it will hallucinate wildly and generate something that resembles a bastardized mutation between Bash and Python. For the record, Claude is not any better here. The reason is that there's simply not enough Hyperlambda out there for the website scrapers from OpenAI and Anthropic to pick up its syntax. This was a sore thumb for me for a long time, so I realised I just had to do something about it. So, I started fine-tuning OpenAI on Hyperlambda. If I had known what a job this would be, I'd probably never have started. To teach Hyperlambda to the point where it does "most simple things correct," it took me 3,500 training snippets and about 550 validation snippets. Each snippet is, on average, about 20 lines of code; multiplied by 4,000, we're up to 80 KLOC of code.

How Agile Outsourcing Accelerates Software Project Delivery

Aggregated on: 2025-04-07 17:28:21

The software development world is growing at a rapid pace, meaning that the quality of work should never be compromised while delivering projects on time. Agile outsourcing merges the iterative and flexible approaches of Agile development with the scope and breadth of outsourcing. This allows companies to change in response to market shifts, equate to the different skill sets available in the market, and ensure that work is being done continuously, which results in expedited delivery of software projects.

Three AI Superpowers: Classification AI vs Predictive AI vs Generative AI

Aggregated on: 2025-04-07 16:58:20

Artificial intelligence (AI) is a vast, evolving domain at the heart of countless modern technologies. To navigate its complexity, it’s helpful to divide AI into three core “families,” each with its own unique purpose and “personality”: classification AI, predictive AI, and generative AI. Classification AI is your data organizer, skilled at labeling inputs into defined categories — think of how email services sort spam from genuine messages or how photo apps recognize familiar faces. Predictive AI acts like a crystal ball, analyzing patterns in past data to make informed guesses about the future—whether it’s forecasting tomorrow’s weather or predicting a sudden spike in product demand. Generative AI, by contrast, is the creative mastermind capable of producing entirely new outputs, such as realistic images, expressive music, or natural-sounding text, based on the patterns it has learned. Together, these three “families” of AI provide a comprehensive toolkit for organizing data, anticipating trends, and inventing novel ideas, ensuring that artificial intelligence continues to transform and reshape industries worldwide.

Optimizing Natural Language Queries for Multi-Service Information Retrieval

Aggregated on: 2025-04-07 15:58:20

In the age of rapid evolution of AI-related technologies, channel applications, e.g., web, kiosk, IVR, etc., are becoming increasingly intelligent where industries are developing strategies to scale the initial experimentations to scaled implementation resolving data quality, governance, and responsible AI challenges. Nonetheless, there is continuous effort put into moving past these inhibitors and scaling the implementations. Let’s take an example of a channel application that supports foundation customer services. In the traditional architectural approach, the application would consume several APIs exposed by the enterprise with different types, e.g., experience and process APIs, to render the services. More often, in an orchestrated information fetch, this approach has resulted in significant chattiness, network overheads, and performance (e.g., response time) issues.

Implementing Infrastructure as Code (IaC) for Data Center Management

Aggregated on: 2025-04-07 14:58:20

Infrastructure as code (IaC) automates antiquated manual configurations in the most critical digital landscapes within communities. As the urgency and role of data centers continue to evolve, IaC could become an expectation for building managers. What can software developers learn about the advantages and best practices for using IaC in delicate data center environments? We’re sharing more below.

Shift-Right Testing: Smart Automation Through AI and Observability

Aggregated on: 2025-04-07 13:58:20

Conventional testing practices have mainly focused on discovering problems before the software is released to the market, also referred to as shift-left testing. Nevertheless, due to the heightened pace of software development owing to DevOps and CI/CD, many real-world conditions that do not mimic the live environment can go undetected in pre-production environments. This is where shift-right testing comes in. Therefore, it is possible to improve the effectiveness of the strategies implemented by QA automation engineers through testing in production-like environments and with the help of AI-driven observability.

Introducing a Lightweight Apache JMeter Docker Image

Aggregated on: 2025-04-07 12:13:20

Are you looking for a lean, secure, and versatile Docker image for Apache JMeter to streamline your load testing of workflows? Look no further! Today, I’m excited to share a new Dockerfile I’ve crafted that delivers a lightweight Apache JMeter image without compromising on functionality. Whether you’re a developer, DevOps engineer, or QA professional, this image is designed to make your performance testing faster, easier, and more efficient. Why This JMeter Docker Image Stands Out This isn’t your average JMeter setup. Here’s what makes this Docker image special:

Implement PHP Zmanim in WordPress Using Zmanim-WP

Aggregated on: 2025-04-07 11:13:20

If you’ve been following this blog, you know I’ve had a running series on implementing PHP Zmanim, the library based on Kosher Java that simplifies the work needed to calculate times related to Jewish religious observance. (If you need a full explanation of what that is, check out the first blog in the series.) While the work of understanding and implementing PHP Zmanim has been fun for it’s own sake, I was working on a larger goal behind the scenes: A WordPress plugin that implemented the library in a way that non-programmers could use on their (WordPress-based) websites.

Building a Cost-Effective ELK Stack for Centralized Logging

Aggregated on: 2025-04-04 23:43:19

If your company has budget constraints, purchasing licensed products like Splunk for logging infrastructure may not be feasible. Fortunately, a powerful open-source alternative exists: ELK (Elasticsearch, Logstash, and Kibana). ELK offers robust logging and visualization capabilities. At a startup where I worked, cost minimization was a priority, so I implemented ELK for logging.

Fixing OutOfMemoryErrors in Java Applications

Aggregated on: 2025-04-04 23:43:19

In one of my earlier posts, we discussed how to best find memory leaks and the reasons behind them. It's best to use a focused and modern tool like HeapHero to detect OutOfMemory errors and many other performance bottlenecks, as it can pinpoint the real culprits and suggest ways to optimize the usage of computing resources. Above, you can see that there are a few thousand objects of byte[], String, int[], etc.

Setting Up Your First Event-Driven Automation With Ansible

Aggregated on: 2025-04-04 22:13:19

Event-Driven Ansible enables real-time automation by automatically reacting to system events, logs, or alerts without manual intervention. This guide provides a step-by-step approach to setting up basic event-driven automation using Ansible Rulebooks and ansible.eda.range module. By the end of this tutorial, you will have created your first event-driven playbook that prints a hello message using ansible.eda.hello module.

How Doris and Hive Work Together to Maximize Data Analysis Efficiency

Aggregated on: 2025-04-04 20:43:19

At 3 a.m., the office is filled only with the dim glow of the computer screens. Data engineer Xiao Ming is struggling with two "heavyweights" — Doris and Hive. "Export, clean, import..." He mechanically repeats these steps between different components, his eyes starting to see stars. This scene is all too common in data teams, making one wonder: Do we really have to manually shuffle data for the rest of our lives? Just then, Doris extended an "olive branch" to Hive — the Hive Catalog made its dazzling debut! It's like arranging a perfect marriage for this "data couple," allowing Doris to directly read and write Hive data, enabling the two systems to "fly together." Whether it's HDFS or object storage, simple queries or complex analyses, one Catalog can handle it all!

AI-Driven RAG Systems: Practical Implementation With LangChain

Aggregated on: 2025-04-04 18:28:19

Retrieval-augmented generation (RAG) is revolutionizing artificial intelligence by combining powerful generative AI models with sophisticated information retrieval systems. This comprehensive guide explores foundational concepts essential for understanding RAG, including information retrieval, generative AI models, embeddings, and vector databases, followed by a detailed, practical step-by-step implementation using LangChain. Understanding these fundamentals and their practical application through LangChain allows developers and businesses to deploy effective, scalable, and context-aware AI solutions.

Dynamic Web Forms In React For Enterprise Platforms

Aggregated on: 2025-04-04 17:43:19

Forms are some of the easiest things to build in React, thanks to the useForm hook. For simple forms such as login, contact us, and newsletter signup forms, hard coding works just fine. But, when you have apps that require frequent updates to their forms, for example, surveys or product configuration tools, hard coding becomes cumbersome. The same goes for forms that require consistent validation or forms in apps that use micro frontends. For these types of forms, you need to build them dynamically. Fortunately, JSON and APIs provide a straightforward way to define and render these types of forms dynamically.

Achieving Zero Trust and Air-Gapped IaC in IBM Cloud With Schematics

Aggregated on: 2025-04-04 16:28:19

As modern enterprises continue their journey toward cloud-native infrastructure, security and automation aren’t just nice to have; they’re absolutely essential. Particularly in regulated industries like finance, government, and healthcare, there's a growing need to deploy Infrastructure as Code (IaC) within isolated (air-gapped) environments while also embracing zero-trust principles. In this blog, we’ll walk through how IBM Cloud Schematics can help you tackle these challenges head-on. We’ll explore how to securely provision IaC in isolated environments — while automating deployment and enforcing policy every step of the way. From air-gapped setups to zero trust enforcement, we’ve got you covered.

How Doris Connects to Multiple Databases for Federated Analytics and Data Migration

Aggregated on: 2025-04-04 15:58:19

Apache Doris is a high-performance real-time analytical database that supports multiple methods for connecting to external data sources. Among these, JDBC Catalog is a key feature that enables Doris to integrate with various mainstream databases, facilitating federated analysis and data migration. This article provides a detailed guide on how Doris connects to multiple databases via JDBC Catalog, lists the supported database types, and outlines the usage instructions to help users get started quickly.

Docker vs Kubernetes: Which to Use and When?

Aggregated on: 2025-04-04 11:13:19

Containerization has changed the script of software development and deployment, significantly increasing the efficiency and portability. The two technologies at the forefront of this are Docker and Kubernetes. Docker is leading in container creation, while Kubernetes leads the orchestration, which is used for managing containers at scale. For developers, DevOps pros, and tech leaders, picking the right tool or a combination can make or break projects. In this article, we take a deep dive into the world of Docker and Kubernetes, discussing their strengths and helping you decide when to deploy each one.

How to Implement Linked Lists in Go

Aggregated on: 2025-04-03 23:58:19

Linked lists are one of the most common data structures used for dynamic memory allocation. Here, a list of a finite set of elements is created, which contains at least two memory locations: one for the data element and another for the pointer that links the next set of elements. This tutorial explains how different linked lists can be implemented using pointers and structure types in Go. Data Structures in Go The random access memory (RAM) can be visualized as a table, a matrix, or a grid of addressable locations. In order to store values in the table, Go programmers need to designate it into locatable structures. These locatable structures are given a convenient name called variable name. Understand that a name given to a variable is only for the convenience of the programmer; once the program is compiled, the variable name is replaced with a reference (or memory address, such as 0x78BAC).

When Doris Learns to "Speak Dialects"

Aggregated on: 2025-04-03 22:13:19

Data migration is like moving house — every data engineer has faced this headache: a pile of SQL statements that need rewriting, as if you have to disassemble and reassemble all the furniture. Different systems' SQL syntax is like different dialects. Although they all speak the SQL language, each has its own "accent" and habits. "If only there were a 'translator'!" This is probably the wish of every engineer who has experienced system migration.

Integrating Apache Doris and Hudi for Data Querying and Migration

Aggregated on: 2025-04-03 21:58:19

In the field of big data analytics, real-time data availability, query performance, and flexibility are crucial. With the rise of the Lakehouse architecture as a new paradigm in big data, integrating Apache Doris, a high-performance real-time analytical database, with Apache Hudi, a data lake management framework focused on incremental data processing, provides powerful federated query and data migration capabilities. This integration enables seamless collaboration while accelerating enterprise data architecture upgrades. In this article, we will explore how to integrate Apache Doris with Hudi to achieve efficient federated querying and data migration, along with best practices and optimization techniques.

How to Monitor a Folder Using Event-Driven Ansible

Aggregated on: 2025-04-03 20:58:19

Real-time data processing, security compliance, and automation are crucial for keeping systems running smoothly and efficiently. Folder monitoring plays a big role in this, allowing systems to detect changes — like new files being added, modified, or deleted — and take action right away. Event-Driven Ansible provides an automated way to monitor and manage folders, instantly reacting to changes, detecting them quickly, and taking automated actions while integrating smoothly with your existing tools and systems.

Problem Analysis in Apache Doris StreamLoad Scenarios

Aggregated on: 2025-04-03 20:28:19

Apache Doris provides multiple ways to import data, including StreamLoad, HdfsLoad (gradually replacing BrokerLoad), RoutineLoad, MySQLLoad, and others. StreamLoad is the most commonly used method, as many data synchronization tools like Flink, Spark, and DataX use it under the hood. Since StreamLoad is the underlying mechanism for Flink Doris Connector, Spark Doris Connector, and DataX, most data import issues tend to occur with StreamLoad. This article will discuss common import errors and their solutions.

How to Create Dialog Boxes in Java

Aggregated on: 2025-04-03 20:13:19

Dialog boxes are graphical components that are usually used to display errors or give some other information (e.g., request input) to the user. They are commonly part of the three top-level containers that each Java graphical user interface (GUI) application must have as a root. Dialogs are typically associated with a parent frame. Their dependence on frames means that when you close a frame, all its associated dialog boxes also close. However, note that minimizing (iconifying) a frame does not automatically minimize its dialogs in modern Java implementations. This Java programming tutorial introduces developers to creating and working with dialog boxes in Java GUI applications.

Supercharging LLMs With Knowledge Graphs for Smarter, Fairer AI

Aggregated on: 2025-04-03 19:13:19

Hey, folks. I’m an AI geek who’s spent years wrestling with large language models (LLMs) like GPT-4. They’re incredible — chatting, coding, reasoning like champs — but they’ve got a flaw: they’re trained on the wild web, soaking up biases like gender stereotypes or racial skews. Picture an LLM skipping a top-notch female data scientist because it’s hung up on “tech = male.” That’s a real danger in hiring or healthcare apps, and it’s why I’ve poured my energy into Knowledge Graph-Augmented Training (KGAT).

From Zero to Meme Hero: How I Built an AI-Powered Meme Generator in React

Aggregated on: 2025-04-03 17:58:19

Why Would One Even Construct an AI Meme Generator? Memes are literally the one thing on the internet that anyone can understand. Whether you want to take a jab at your friend or want to show how coding sometimes gives you brain freezes, memes will always come to your rescue. The issue? Manually doing everything takes ages. You need to source the right picture, come up with snarky lines, and then figure out how to stick everything together without making it look like something a 5-year-old put together. But now, there are tools such as OpenAI and DeepSeek. With these, you don’t just automate comedy; you also automate currently trending formats and allow users to create memes in a matter of seconds. Here is how we approached our tasks:

Injecting Implementations With Jakarta CDI Using Polymorphism

Aggregated on: 2025-04-03 17:28:19

When building extensible and maintainable Java applications, a key challenge is choosing the right implementation of an interface without violating the Open/Closed Principle — that is, without modifying existing code whenever a new behavior is added. In this tutorial, you’ll learn how to inject implementations using Jakarta CDI dynamically. We’ll use a simple and relatable sample (inspired by musical instruments) to illustrate polymorphism, custom qualifiers, and dynamic resolution with Instance<T>, enabling your code to be both flexible and robust.

Understanding ldd: The Linux Dynamic Dependency Explorer

Aggregated on: 2025-04-03 13:58:18

In the world of Linux system administration and software development, understanding how executables interact with shared libraries is crucial. Enter ldd (List Dynamic Dependencies), a powerful command-line utility that helps you peer into the complex web of library dependencies that make your applications run. In this comprehensive guide, we'll explore ldd, its usage, security considerations, and how it can help you solve common problems.

AI Protection: Securing The New Attack Frontier

Aggregated on: 2025-04-02 22:43:18

We’re amidst a paradigm shift in society where many product verticals are being reimagined through an ‘AI-first’ architecture. An AI-first architecture is one where much of the core business logic is driven by AI, and the product is architected to fully exploit the capabilities of the underlying AI models. A striking example is IDEs; intelligent editors such as Cursor have quickly gained popularity in the software community. Countless startups have emerged to challenge well-established experiences (email, online shopping, real estate, to name a few) with AI-first alternatives. This promises not only an exciting future but also a more dangerous one. Traditional attack paths are outmoded under the new regime of AI-centric architectures. In this article, we discuss novel attack paradigms that AI-first architectures are vulnerable to and how companies operating in this space can defend against them.

Create Your Own AI-Powered Virtual Tutor: An Easy Tutorial

Aggregated on: 2025-04-02 22:43:18

It is a very powerful world with AI being a thing. Now you can have a tutor who never gets tired, who doesn’t roll their eyes at your dumb questions (we all have them, I do admit it), and who is available 24/7 — no scheduling problems, no coffee breaks, just straight knowledge on demand. That’s the magic of AI-based tutors. But before we start dreaming about how AI could replace your least favorite professors, let’s first discuss how to build one. As someone who has tinkered with AI models for countless hours (and broken them here and there), I have been somewhat obsessed with the notion of an AI tutor. In this guide, I’m going to take you through the main components needed to build one for yourself — from natural language processing (NLP) to knowledge graphs and adaptive learning models. No, this is not a plug-and-play recipe, though it will provide you with a strong road map for your path.

From Engineer to Leader: Scaling Impact Beyond Code

Aggregated on: 2025-04-02 21:58:18

Back in college, I thought that technical excellence was everything. But after a decade in the tech industry, I've learned that leadership requires a completely different mindset. One day you're sitting there writing code and shipping features, and suddenly you're making project plans, helping your teammates, and thinking about the bigger picture. Moving from being an IC to a tech lead can feel like a big and uncomfortable jump. Let me share what I've learned about growing beyond just coding through some real examples from my journey.

Practical Use of Weak Symbols

Aggregated on: 2025-04-02 21:28:18

In today's software development, flexibility, maintainability, and performance are paramount, especially in systems software programming, embedded systems development, and library design. A lesser-known technique, yet a powerful tool to achieve these goals, is the weak symbol. For developers building frameworks and platform libraries, weak symbols provide a clean way to define default behaviors and enable optional functionality — all without complex build configurations or runtime hacks. Let’s explore what weak symbols are, how they work, and where they can unlock better architecture patterns.

Seamless Security Integration Strategies in Software Development

Aggregated on: 2025-04-02 19:13:18

During the software development, builders face challenges between building a better product faster versus dealing with various responsibilities that come with software development. Getting security right is one of them. Due to the increased cyber attacks, organizations started focusing on security, which resulted in developers spending more time in security-related activities in recent years. This brings up the critical need for integrating security practices in the software in the early stage instead of making security an afterthought. Integrating security practices early and more often will not only reduce the cost but also be more effective. In this article, we will talk about how we can achieve that.

Efficiently Migrating From Jest to Vitest in a Next.js Project

Aggregated on: 2025-04-02 18:13:18

Vitest is a state-of-the-art testing framework that was created to solve problems encountered with older testing frameworks such as Jest. It's designed to be faster and leaner, with a tidier API, and more importantly, to be more efficient with projects that use modern JavaScript features and toolchains. Why Was Vitest Invented? Vitest was created to offer a new spin on testing JavaScript. Light and lightning-fast, it focuses on performance and modern JavaScript features, such as ES modules. Unlike Jest, Vitest is built with Vite, a modern front-end build tool, which means it can exploit ES modules (and other shiny new things) to initialize and run tests much more quickly.

Why Generative AI Needs Human Oversight to Build Trust

Aggregated on: 2025-04-02 17:13:18

In 2023, a generative AI-powered chatbot for a financial firm mistakenly gave investment advice that violated compliance regulations, triggering regulatory scrutiny. Around the same time, an AI-powered medical summary tool misrepresented patient conditions, raising serious ethical concerns. As businesses rapidly adopt generative AI (GenAI), these incidents highlight a critical question: Can AI-generated content be trusted without human oversight?

Maintaining ML Model Accuracy With Automated Drift Detection

Aggregated on: 2025-04-02 16:58:18

In production machine learning (ML) systems, data drift is defined as changes in the statistical features of input data over time. Such shifts can weaken model performance, resulting in erroneous predictions. As a result, monitoring and mitigating data drift is critical for maintaining the trustworthiness of machine learning models. KitOps is an open-source DevOps solution for packaging and versioning AI/ML models, datasets, code, and configurations into a reproducible artifact known as a ModelKit. By standardizing these components, KitOps enables the seamless integration of drift detection and management into MLOps workflows, improving collaboration among data scientists, developers, and operations teams.

Lessons from Migrating an Oracle Database to AWS RDS

Aggregated on: 2025-04-02 15:28:18

After nearly a decade of managing our on-premise database infrastructure, our team finally took the plunge into cloud database services with AWS RDS. The migration journey came with its share of surprises — both pleasant and challenging. Here's what I discovered during our transition to AWS RDS managed services, along with key insights that might help your organization make informed decisions about your own database strategy. I still remember the morning my boss walked into our weekly team meeting and dropped the bomb: "We're finally moving our databases to the cloud."

AWS CloudTrail Monitoring Using Event-Driven Ansible

Aggregated on: 2025-04-02 14:43:18

AWS CloudTrail is a service that tracks everything happening in your AWS environment. It makes it easier to track activities like unauthorized access, configuration changes, or unusual behavior. It also supports compliance and auditing by maintaining a clear history of activity. When we integrate CloudTrail with Event-Driven Ansible, we can automatically respond to these events in real time without manual intervention. This integration turns monitoring into action, helping teams keep their cloud systems secure, reliable, and easier to manage as they scale.

Bridging OT and IT: IIoT Middleware for Edge and Cloud With Kafka and Flink

Aggregated on: 2025-04-02 11:28:18

As industries continue to adopt digital transformation, the convergence of Operational Technology (OT) and Information Technology (IT) has become essential. The OT/IT Bridge is a key concept in industrial automation to connect real-time operational processes with business-oriented IT systems ensuring seamless data flow and coordination. This integration plays a critical role in the Industrial Internet of Things (IIoT). It enables industries to monitor, control, and optimize their operations through real-time data synchronization and improve the Overall Equipment Effectiveness (OEE). By leveraging IIoT middleware and data streaming technologies like Apache Kafka and Flink, businesses can achieve a unified approach to managing both production processes and higher-level business operations to drive greater efficiency, predictive maintenance, and streamlined decision-making. Industrial Automation — The IT/OT Bridge An OT/IT Bridge in industrial automation refers to the integration between Operational Technology (OT) systems, which manage real-time industrial processes, and Information Technology (IT) systems, which handle data, business operations, and analytics. This bridge is crucial for modern Industrial IoT (IIoT) environments, as it enables seamless data flow between machines, sensors, and industrial control systems (PLC, SCADA) on the OT side, and business management applications (ERP, MES) on the IT side.

Cost-Aware Resilience: Implementing Chaos Engineering Without Breaking the Budget

Aggregated on: 2025-04-01 22:13:18

Modern distributed systems, like microservices and cloud-native architectures, are built to be scalable and reliable. However, their complexity can lead to unexpected failures. Chaos engineering is a useful way to test and improve system resilience by intentionally creating controlled failures. However, it can be costly due to resource usage, monitoring needs, and testing in production-like environments. This article explores ways to make chaos engineering more cost-effective while maintaining its quality and reliability. Understanding Chaos Engineering Costs Resource Utilization: Running chaos experiments often requires extra resources, like more compute instances or virtual machines. Monitoring Overheads: Better monitoring is needed to track how the system behaves during experiments, which can increase costs. Production-Like Environments: Testing in environments similar to production can be expensive because of the high infrastructure costs. Downtime Risks: Inadequately planned experiments can cause unexpected outages. Importance of Cost-Aware Chaos Engineering: Cost-Aware chaos engineering makes sure testing resilience doesn't become too expensive. By using resources wisely and relying on existing tools, organizations can include chaos engineering in their work without going over budget or affecting their goals.

Creating a Web Project: Refactoring

Aggregated on: 2025-04-01 21:28:17

In the previous article, we spoke about hunting bugs. But a time will come when your hunters’ ‘trophy collection’ grows to a scary size. More and more ‘targets’ will be coming as if it were a zombie apocalypse. There will be red lamps flashing across your metrics dashboard. If (or rather when) that happens, it would mean it’s time for a bigger change than just routine debugging and streamlining your codebase. Today, I am going to talk you into refactoring, which is basically digging into and altering the very foundations of your project. Don’t take anything for granted, check everything yourself and think twice before diving into this work. It’s just as easy as swapping an engine in a flying airplane. But that’s exactly what you will have to do. Let’s get started! Monsters Beneath the Surface In the troubleshooting guide, I already mentioned how important it was to create and closely watch the metrics of your project. System metrics — like response time, memory consumption, etc. — and product metrics — like user acquisitions and engagement — are equally important (you watch and log your metrics, right?). It may happen that the problems you see with these instruments keep mounting up. Solving them consumes more and more time and resources, and you become short of both for growth and development. This is the worst symptom that your project needs refactoring. Ideally, you should be alert before skyfall gets at your doorstep. But for a lot of people, "If it ain't broke, don't fix it" is a motto for stability. Well, it doesn’t really work that way. You will actually save more if you start refactoring your project before real trouble hits you.

How to Build a New API Quickly Using Spring Boot and Maven

Aggregated on: 2025-04-01 19:58:17

In my last post, I wrote about how quick and easy it is to turn an idea into reality. I built a Spring Boot API service using Gradle as my build management tool and then deployed it to Heroku. But what about my readers who have Maven in their toolchain?

Understanding SQL Server Query Store: A Comprehensive Guide

Aggregated on: 2025-04-01 19:28:17

SQL Server Query Store is an essential feature introduced in SQL Server 2016, designed to provide insights into query performance by storing a history of executed queries, query plans, and runtime statistics. Acting as a flight recorder for your database, Query Store simplifies performance troubleshooting and helps DBAs optimize database workloads efficiently. In this article, we will explore what Query Store is, its benefits, scenarios for its use, and steps to implement it with examples.

Building Scalable Data Lake Using AWS

Aggregated on: 2025-04-01 17:28:17

Data lakes are centralized repositories that facilitate flexible and economical data management, and businesses are using them to store, process, and analyze this data effectively. AWS offers a strong ecosystem for creating a safe and scalable data lake with services like Lake Formation AWS Glue and Amazon S3. Along with best practices for implementation, this article examines the essential elements of an AWS Data Lake architecture, including ingestion storage processing and analytics.

Safeguarding Sensitive Data: Content Detection Technologies in DLP

Aggregated on: 2025-04-01 16:28:18

The 2024 IBM Cost of a Data Breach Report found that data breaches cost organizations an average of $4.88 million per incident globally. Many of these breaches were caused by accidental or intentional mishandling of sensitive information. As businesses rely more on cloud collaboration tools, SaaS applications, and global data sharing, Data Loss Prevention (DLP) solutions have become essential to cybersecurity. Content detection technologies are the core of DLP tools. They identify and protect confidential data at rest, in motion, and in use. This article explores the key content detection technologies, their applications in various industries, and the best practices for effective deployment.

Generative AI in Agile: A Strategic Career Decision

Aggregated on: 2025-04-01 15:13:17

TL;DR: A Harvard Study of Procter and Gamble Shows the Way Recent research shows AI isn’t just another tool — it’s a “cybernetic teammate” that enhances agile work. A Harvard Business School study of 776 professionals found individuals using AI matched the performance of human teams, broke down expertise silos, and experienced more positive emotions during work. For agile practitioners, the choice isn’t between humans or AI but between being AI-augmented or falling behind those who are. The cost of experimentation is low; the potential career advantage, on the other side, is substantial. A reason to embrace generative AI in Agile?

Testing AI Is the First Step to Using AI

Aggregated on: 2025-04-01 14:28:17

Sales and marketing professionals in high tech are being told — daily, loudly, and from every direction — that they should be using AI. And while it's absolutely true that AI has real potential to boost productivity and unlock new insights, there's a crucial first step that often gets skipped: testing. This article is the result of testing AI with data from a large developer community with over 2,800 registered users, almost 800 unique organizations, and nine years of cumulative data from 41 countries. It's simply too much data for a marketing team to realistically try to analyze, too much information for working in a spreadsheet or a series of spreadsheets.

Predicting Ad Viewability With XGBoost Regressor Algorithm

Aggregated on: 2025-04-01 13:28:17

Extracting insights from data and leveraging them in decision-making processes is becoming increasingly prevalent. Today, this approach enables impactful actions across various domains, including digital advertising. In the world of digital advertising, interactions between users exposed to ads and the platforms displaying those ads hold critical importance. Matches between advertisers and publishers are facilitated by auctions conducted within milliseconds on demand-side platforms (DSPs) and supply-side platforms (SSPs). Accurate matching is vital for both user satisfaction and revenue management. One of the most important KPIs in this regard is the ad viewability rate.

Testing DeepSeek-R1 Locally Using Ollama

Aggregated on: 2025-04-01 12:28:17

DeepSeek-R1 has made a significant impact since its release. A number of cloud-based providers offer the ability to use DeepSeek-R1. It is also possible to use DeepSeek-R1 locally using Ollama. In this article, we'll test the smallest DeepSeek-R1 model, using Ollama, with a number of different tasks and evaluate its response. The notebook file used in this article is available on GitHub.

Function Calling and Agents in Agentic AI

Aggregated on: 2025-04-01 11:13:17

One of the most exciting innovations in the rapidly advancing field of AI is the development of agentic AI, a new paradigm that focuses on creating intelligent systems capable of performing autonomous tasks with humanlike reasoning and actions. Among the key concepts driving this field are function calling and the development of AI agents. These elements are paving the way for more sophisticated AI systems that learn from data and actively perform tasks, solve problems, and interact with humans in meaningful ways.