News Aggregator

The Next Frontier in Cybersecurity: Securing AI Agents Is Now Critical and Most Companies Aren’t Ready

Aggregated on: 2025-08-14 17:29:37

You can’t secure what you don’t understand, and right now, most enterprises don’t understand the thing running half their operations. Autonomous AI agents are here. They’re booking appointments, executing trades, handling customer complaints, and doing it all without waiting for human permission. But while businesses are busy chasing the productivity boost, they’re sleepwalking into the next generation of cyber threats. In 2024, we passed a quiet milestone: AI agents started negotiating, transacting, and integrating across APIs with minimal human input. These aren’t smart scripts. They’re adaptive, goal-seeking digital operators. And they’re already poking holes in the security assumptions that have held up for the past two decades.

Is Codex the End of Boilerplate Code?

Aggregated on: 2025-08-14 16:29:37

Boilerplate code has always been the background noise of software development. It’s like lining up bricks of a house. It's boring, repetitive, and dull, but always necessary. Whether it’s setting up a web server, writing authentication flows, or configuring logging, most senior developers can do it with their eyes closed. Yet, they still have to do it. But OpenAI’s Codex is here to change that.

Reclaiming the Architect’s Role in the SDLC

Aggregated on: 2025-08-14 15:14:37

Over the past decade and a half, following the general shift away from the waterfall model, the industry has increasingly underutilized the expertise of software architects. The pendulum swung almost to the point of making any design work feel redundant. Strong software design and continuous architecture validation are essential for building efficient and reliable systems in real-world applications. Development teams should embed these practices in every iteration of the software development lifecycle (SDLC) — dynamic enough to guide architectural decisions yet lightweight enough not to slow development down. The same goes for documentation: it’s a valuable part of design work, but many modern engineering teams struggle to create and maintain it effectively.

No More ETL: How Lakebase Combines OLTP, Analytics in One Platform

Aggregated on: 2025-08-14 14:14:37

Databricks' Lakebase, launched in June 2025, is a serverless Postgres database purpose-built to support modern operational applications and AI workloads—all within the Lakehouse architecture. It stands apart from legacy OLTP systems by unifying real-time transactions and lakehouse-native analytics, all without complex provisioning or data pipelines. Under the hood, Lakebase is PostgreSQL-compatible, which means developers can use existing tools like psql, SQLAlchemy, and pgAdmin, as well as familiar extensions like PostGIS for spatial data and pgvector for embedding-based similarity search—a growing requirement for AI-native applications. It combines the familiarity of Postgres with advanced capabilities powered by Databricks' unified platform.

How OpenTelemetry Improved Its Code Integrity for Arm64 by Working With Ampere®

Aggregated on: 2025-08-14 13:44:37

Snapshot Challenge: Software developers and IT managers need instrumentation and metrics to measure software behavior. When developers and DevOps professionals assume that software will run on a single hardware architecture, they may be overlooking architecture-specific behavior. Arm64-based servers, including the Ampere® Altra® family of processors, offer performance improvements and energy savings over x86, but the underlying architecture is Arm64, which behaves differently to the x86 architecture at a very low level. At the time, mid-2023, OpenTelemetry did not formally support Arm64 deployments. As the popularity of Arm64 instances increased because of their competitive price-performance, monitoring those systems was critical for observability vendors. Solution: To help rectify that situation, Ampere Computing donated Ampere Altra-powered servers to the OpenTelemetry team. With these processors, the team could begin retrofitting their telemetry instrumentation for Arm64, and adapting their Node.js, Java, and Python code for the Arm64 architecture.

Beyond Netflix: Why Fintech Recommendations Need a Completely Different Playbook

Aggregated on: 2025-08-14 13:14:37

Let’s dive into how to create a recommendation system for fintech—hearing for the first time? But don’t worry, I’ll break it down into bite-sized pieces. The Unique Nature of Financial Recommendations First off, financial recommendations are a whole different ballgame compared to those you’d get from Netflix or an online store. If Netflix suggests a bad movie, it’s just 90 minutes wasted. But if a fintech app makes a bad investment suggestion, folks could lose their hard-earned savings.

The Myth of In-Place Patching: Unpacking Protocol Buffers, FieldMasks, and the "Last Field Wins" Conundrum

Aggregated on: 2025-08-14 12:14:37

Data serialization frameworks like Google Protocol Buffers (Protobuf) have become indispensable. They offer compact binary formats and efficient parsing, making them ideal for everything from inter-service communication to persistent data storage. But when it comes to updating just a small part of an already serialized data blob, a common question arises: can we "patch" it directly, avoiding the overhead of reading, modifying, and rewriting the entire thing? The short answer, for most practical purposes, is no. While Protobuf provides clever mechanisms that seem to offer direct patching, the reality is more nuanced. Let's dive into why the full "read-modify-write" cycle remains largely unavoidable and where the true efficiencies lie.

How to Successfully Program an AI

Aggregated on: 2025-08-14 11:14:37

Artificial intelligence (AI) is transforming sectors like healthcare, finance, and education. In this scenario, knowing how to program an AI has become a strategic and highly valued skill. This guide brings clear, practical advice to help you develop an AI system from scratch. Whether you're just starting or already have some experience, the tips below will help you move forward with more confidence and efficiency. Making the right choices in tools, techniques, and data impacts your project's outcome. A well-built AI system depends on technical knowledge, structure, and consistency. Understanding each step and applying it the right way is key to building reliable and intelligent solutions.

Scheduler-Agent-Supervisor Pattern: Reliable Task Orchestration in Distributed Systems

Aggregated on: 2025-08-13 20:14:37

The Scheduler-Agent-Supervisor (SAS) pattern is a powerful architectural approach for managing distributed, asynchronous, and long-running tasks in a reliable and scalable way. It is particularly well-suited for systems where work needs to be orchestrated across many independent units—each capable of failing and retrying—while maintaining observability and idempotency. This pattern divides responsibilities into three well-defined roles:

Database Choices for Real-World Applications Cheat Sheet

Aggregated on: 2025-08-13 19:14:37

Choosing the right database is a crucial decision when designing software systems. While functional requirements can be met with any database, the real challenge lies in fulfilling non-functional requirements (NFRs) such as scalability, query performance, consistency, and data structure suitability. The database choice can significantly impact system efficiency, especially in large-scale applications. This article presents a comprehensive, structured approach to selecting the most suitable database for diverse real-world applications. It categorizes database choices based on data structure (structured, semi-structured, or unstructured), query complexity (simple lookups, complex joins, full-text search), and scalability requirements (small-scale applications to distributed, high-volume systems). By understanding these key factors, developers and architects can make informed decisions, ensuring optimal performance, reliability, and efficiency. The guide explores SQL and NoSQL databases, caching solutions, time-series databases, search engines, and data warehousing, providing practical insights into how different database technologies best serve specific use cases.

Designing Data Pipelines for Real-World Systems: A Guide to Cleaning and Validating Messy Data

Aggregated on: 2025-08-13 18:14:37

Many software systems involve processing a large volume of customer data every day. Access to customer data demands careful handling and responsibility. Maintaining data integrity is of utmost importance, particularly in highly regulated spaces where accurate data is necessary to deliver the highest standard of output. Additionally, since any data-driven decision is only as accurate as the data it’s based on, clean data is key to making well-informed business decisions. This guide dives into how we can sanitize raw data so it remains consistent, clean, and accurate within our own organizations.

Migrating from Monolith to Microservices Using PHP: A Step-by-Step Guide

Aggregated on: 2025-08-13 17:14:37

As businesses scale, monolithic architectures often start to crack under pressure. What once seemed like a simple, all-in-one structure turns into a bottleneck. The results? Slow down releases, complicated bug fixes, and making even minor updates feel risky.

I Vibe Coded a PC Builder Tool Using Grok AI: Here’s What I Learned Along the Way

Aggregated on: 2025-08-13 16:14:37

I'm sure you've heard of AI, and its sidekick: vibe coding. Yeah, it's a thing right now. The question is: Are you using it to create solutions to real-world problems and get paid for the value you provide? This is the story of how I leveraged the power of Grok AI and vibe coded my dream app: a PC Builder tool. Back in October 2021, I needed to build a tool that helps ordinary people build a PC without thinking of the technicalities involved. I had a blog I started in 2018, built around the PC hardware niche, and the traffic was failing (thanks to Google's incessant updates).

From Red to Resolution: How I Used AI to Diagnose and Recommend Fixes for Flaky Tests

Aggregated on: 2025-08-13 15:14:37

Introduction: The Flaky-Test Dilemma Nothing interrupts a CI/CD pipeline quite like an intermittent test failure. Over time, these “flaky” tests erode confidence in automation and become a drag on velocity. Industry data confirms the pain: a 2023 survey found that flaky tests account for nearly 5% of all test failures, costing organizations up to 2% of total development time each month [1]. When tests that once guarded quality instead generate noise, developers learn to ignore failures, and genuine defects can slip through unnoticed.

Software Security Treat or Threat? Leveraging SBOMs to Control Your Supply Chain Chaos [Infographic]

Aggregated on: 2025-08-13 14:59:37

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. Software supply chain security is on the rise as systems advance and hackers level up their tactics. Gone are the days of fragmented security checkpoints and analyzing small pieces of the larger software security puzzle. Now, software bills of materials (SBOMs) are becoming the required norm instead of an afterthought. So the question is: Are supply chains and SBOMs a sweet pairing or a sticky solution?

Creating Serverless Applications With AWS Lambda: A Step-by-Step Guide

Aggregated on: 2025-08-13 14:14:37

Serverless architecture has reshaped application development by eliminating the need for direct infrastructure management, allowing developers to focus purely on writing and deploying code. AWS Lambda, one of the most widely used serverless computing services, lets you run backend code without provisioning servers. This tutorial will guide you through creating a simple serverless application using AWS Lambda and API Gateway. What Is Serverless Computing? Serverless computing allows your code to execute in response to events such as HTTP requests or file uploads, without the need to manage servers. With AWS Lambda, you are billed only for the time your code actually runs.

How to Know an Autonomous Driver Is Safe and Reliable?

Aggregated on: 2025-08-13 13:14:37

The race to deploy fully autonomous vehicles (AVs) is accelerating. Waymo has already reached over 250k trips per week while Tesla and Zoox are ramping up. The key question for scaling is not “Can AVs drive?” but “How to know AVs are safe and reliable at scale?” As developers, we live by a simple creed: if it’s not tested, it’s broken. We write unit tests, integration tests, and end-to-end tests to gain confidence. But what happens when the 'test environment' is the unpredictable chaos of a public road, where an edge case can have severe repercussions?

Orchestrating Multi-Agents: Unifying Fragmented Tools into Coordinated Workflows

Aggregated on: 2025-08-13 12:14:37

Fragmented Tools Development teams are deploying specialized AI tools across different vendors, architectures, and environments. These tools exist in silos, creating operational complexity and limiting their collective potential. As AI adoption accelerates and the number of deployed agents multiplies, a new challenge emerges: how do we coordinate these specialized tools to work together effectively?

Secure Private Connectivity Between VMware and Object Storage: An Enterprise Architecture Guide

Aggregated on: 2025-08-13 11:29:37

As an architect, security is the first thing that comes to mind when defining an architecture for a customer. One of the key things that you need to keep in mind is minimizing the network traffic routed through the public internet. This article discusses how to bring private connectivity to cloud services, working with compute platforms like VMware on Cloud. Modern cloud architecture follows a "defense-in-depth" philosophy where network isolation forms the foundational security layer. Public internet exposure creates unacceptable risks for enterprise workloads handling sensitive data, financial transactions, or regulated content. Private connectivity addresses this by implementing a critical architectural principle: Zero Trust Network Access (ZTNA).

Building a Scalable GenAI Architecture for FinTech Workflows

Aggregated on: 2025-08-12 20:14:36

Generative AI (GenAI) is rapidly transforming the financial services landscape. According to McKinsey, GenAI could unlock up to $340 billion in annual cost savings and productivity gains across the global banking sector. With this momentum, forward looking fintech leaders are embedding GenAI into critical workflows ranging from customer onboarding and credit decisioning to fraud detection and compliance. This article provides a practical architecture guide to help technology leaders adopt GenAI safely, effectively, and at scale. Why GenAI Matters for Financial Services Financial institutions are under constant pressure to operate faster, smarter, and leaner. GenAI provides a strategic edge by:

Implementing iOS Accessibility: A Developer's Practical Guide

Aggregated on: 2025-08-12 19:29:36

We iOS developers often spend weeks or even months building a well-crafted app with smooth animations, clever features, and polished UI down to the pixel. But there's one thing that gets often overlooked in the race to ship, and that's accessibility. It can help transform an already great app into something inclusive and exceptional. Supporting accessibility can sound like a nice-to-have; it's not just about helping people with disabilities (though that in itself is a good enough reason), but it's about building apps that everyone can use comfortably, regardless of how they interact with their device. Also, it's not that hard to implement, especially on iOS.

Real-Time Recommendations Powered by Spanner, BigQuery, and Vector Embeddings

Aggregated on: 2025-08-12 18:29:36

Product recommendation systems are an integral part of a wide range of industries like e-commerce, retail, media and entertainment, financial services, etc. Product recommendation is crucial for both providers and consumers as it improves the overall consumer experience and increases sales. Businesses collect and analyze a ton of consumer usage and behavior data to optimize their recommendations for purchase and user satisfaction. They strive to deliver these recommendations as soon as possible with the most up-to-date insights. Delays in showing relevant recommendations can result in lost sales and a bad experience for the consumer.

Deploying Real-Time Machine Learning Models in Serverless Architectures: Balancing Latency, Cost, and Performance

Aggregated on: 2025-08-12 17:29:36

Machine learning (ML) is becoming more and more important in real-time applications such as fraud detection and personalized recommendations. Due to their scaling capacity and the elimination of workload on infrastructure management, these applications are highly attractive for deployment in serverless computing. However, deploying ML models to serverless environments has unique challenges with latency, cost, and performance. In this article, we will describe these problems and provide a solution that makes it possible to successfully deploy real-time ML models into the serverless architecture.

Declarative Pipelines in Apache Spark 4.0

Aggregated on: 2025-08-12 16:29:36

The landscape of big data processing is constantly evolving, with data engineers and data scientists continually seeking more efficient and intuitive ways to manage complex data workflows. While Apache Spark has long been the cornerstone for large-scale data processing, the construction and maintenance of intricate data pipelines can still present significant operational overhead. Databricks, a key contributor to Apache Spark 4.0, recently addressed this challenge head-on by open-sourcing its core declarative ETL framework. This new framework extends the benefits of declarative programming from individual queries to entire data pipelines, offering a compelling approach for building robust and maintainable data solutions. The Shift From Imperative to Declarative: A Paradigm for Simplification For years, data professionals have leveraged Spark's powerful APIs (Scala, Python, SQL) to imperatively define data transformations. In an imperative model, you explicitly dictate how each step of your data processing should occur.

Scaling Playwright Test Automation: A Practical Framework Guide

Aggregated on: 2025-08-12 15:29:36

As web applications become increasingly dynamic and feature-rich, the complexity of ensuring their quality rises just as fast. Playwright has emerged as a powerful end-to-end testing tool, supporting modern browsers and offering capabilities like auto-waiting, multi-browser testing, and network interception. But writing isolated test cases is only a small part of successful automation. To support maintainability, collaboration, and long-term scalability, a structured test automation framework is essential.

Migrating Legacy VB6 Applications to Modern Platforms

Aggregated on: 2025-08-12 14:29:36

Many enterprises still run mission-critical systems written in Visual Basic 6.0 (VB6), a language whose support ended in 2008. This leaves them maintaining “legacy hell” environments: no patches, mounting security vulnerabilities, and shrinking expertise. For example, Stride reports that in nearly 40% of VB systems, the original source code is lost (developers retired, docs missing), and crucial logic is buried in decades-old stored procedures. These systems become compliance liabilities and block innovation. Modernizing them, by migrating to platforms like .NET or Java, reclaims value and future-proofs the software. Migrating VB6 is a major undertaking. Architects must choose between a pure rewrite, automated conversion, or a hybrid approach. We’ll explore real-world strategies, tools, and best practices for an architect facing a VB6 modernization project. The journey involves deep analysis of the legacy code, phased refactoring, extensive testing, and careful re-architecting into modular services.

Architecture Lessons from Two Digital Transformations

Aggregated on: 2025-08-12 13:14:36

I have been fortunate to lead not just one, but two digital transformation projects as an Architect. And I would say I got lucky under many different counts. First piece of luck – one of the projects was a failure! How can that be lucky you ask? Read on.

Scoped Values: Revolutionizing Java Context Management

Aggregated on: 2025-08-12 12:14:36

In an application meant for concurrent execution need of sharing data (or context) between threads is imperative. The available design choices are to pass the context as method parameter(s) or enable the context to be universally accessible (viz. global variable or equivalent). While former choice (i.e. context as method argument) is easiest it doesn’t scale well. As the application evolves, the context too grows and thus the method parameters. Moreover, the method is required to accept parameters which aren’t utilized by itself directly but instead some method deep down the call hierarchy. Thus, overall data flow isn’t clean or intuitive. In case the context is mutable any of the callee potentially could corrupt the context. Identifying this rouge behavior is unpleasant at best.

Do You Understand the Debt You Have to Pay?

Aggregated on: 2025-08-12 11:14:36

I was fortunate to start my career with people who truly cared about code quality. Early on, I learned why this matters and how continuous attention to quality positively impacts customer satisfaction. This experience made it natural for me to improve legacy code and constantly seek further enhancements. However, at the beginning of my journey, my perspective was narrow—I saw only the code. So, my efforts focused solely on refactoring. Fast forward to today, I've learned that there are many more ways to improve software. There are also several strategies you can explore to choose the right approach for your situation.

AWS Step Functions IDE Extension: A Game Changer, but What’s Next?

Aggregated on: 2025-08-11 20:29:37

If you’ve ever worked with AWS Step Functions, you know the struggle. Debugging workflows locally? A nightmare. Testing small changes? Deploy, wait, check logs, repeat. The experience has been far from smooth — until now. AWS just launched a Step Functions extension for VSCode, and it’s a huge step forward. But as great as this update is, one big question remains: why is this limited to VSCode? What about IntelliJ, Eclipse, and other IDEs?

Deploying a Scalable Golang Application on Kubernetes: A Practical Guide

Aggregated on: 2025-08-11 19:29:36

Golang is the finest programming language for constructing applications that can scale well and at high density due to the concurrency and performance inherent in the language itself. Kubernetes is the best standard for container orchestration, which gives a platform for deploying, managing, and scaling applications. Together, they constitute a formidable pair for creating unobtrusive and bulletproof microservices. This blog will lead readers through the process of deploying a scalable Golang application on Kubernetes, highlighting essential considerations alongside the more practical 'doing it' steps.

Development of System Configuration Management: Introduction

Aggregated on: 2025-08-11 18:14:36

Series Overview This article is part 1 of a multi-part series: "Development of system configuration management." The complete series:

Data Mesh Security: How to Protect Decentralized Data Architectures

Aggregated on: 2025-08-11 17:14:36

The rise of data mesh architectures redefines how modern organizations have approached the concept of data security. Standard best practices dictate that data should be centralized, allowing it to be collected, stored, and governed within monolithic systems, such as data warehouses. enabled centralized access control, governance, and 'auditability'. The data mesh model, however, disrupts this architecture and decentralizes data ownership. Now, instead of a centralized team governing data access, data mesh empowers domain-oriented teams to treat data as a product, allowing them to manage it independently. While this new approach offers speed and flexibility, it also introduces serious data mesh security challenges.

Getting Started With Android UI Development With Jetpack Compose

Aggregated on: 2025-08-11 16:14:36

I was contacted by my friend Aditya last month with tremendous enthusiasm regarding a new Android feature he had discovered. "Mohit, you won't believe it! I just used Jetpack Compose and it's insane!" At first, I was like, "Whatever dude, another Google framework that will be obsolete next year." But then, Dan showed me his project, and frankly, I was kind of blown away. Why We Started Working With Jetpack Compose Aditya had been struggling with a dating app he was building using XML layouts for roughly six months. The UI would always get broken on different devices, and animations were a nightmare. Within two weeks of using Compose, he rewrote the entire thing, and it worked way better.

Designing Resilient Systems: What Every Engineering Manager Should Know

Aggregated on: 2025-08-11 15:14:36

Introduction: Why Resiliency Matters If you've ever launched a major feature, only to watch it spectacularly break under pressure, you know exactly why resiliency matters. As a Software Development Manager (SDM) at Amazon, I've been on the front lines of creating systems that handle real-world chaos gracefully. Let's talk resiliency — focusing on critical architectural patterns in plain language: Retries, Circuit Breakers, and Bulkheads.

DSPy Framework: A Comprehensive Technical Guide With Executable Examples

Aggregated on: 2025-08-11 14:14:36

Building AI applications today needs the crafting of each prompt carefully balanced, but one small change can bring the whole system crashing down. Traditional prompt engineering is brittle, unpredictable, and exhausting to maintain. That’s where DSPy (Declarative Self-improving Python) comes in. Developed by Stanford NLP researchers, DSPy takes a totally different approach. Instead of manually tweaking prompts and hoping for the best, it treats language models as programmable components like any other part of your software stack. With DSPy, you declare what you want your AI to do, not how to prompt it. The framework then automatically optimizes prompts, handles errors gracefully, and ensures reliable outputs, all while letting you focus on the bigger picture.

How to Set Up Selenium Grid 4 With Docker Compose

Aggregated on: 2025-08-11 13:29:36

Selenium WebDriver is a popular web automation tool. It automates browsers and enables software teams to perform web automation testing across multiple popular browsers, including Google Chrome, Mozilla Firefox, Microsoft Edge, and Safari. To scale this testing across different platforms and browser versions, Selenium Grid 4 can be utilized. It works seamlessly with Selenium WebDriver, allowing tests to run in parallel across different browsers, making cross-browser and cross-platform testing faster and efficient.

Testing Approaches for Java Enterprise Applications With Jakarta NoSQL and Jakarta Data

Aggregated on: 2025-08-11 12:29:36

When discussing software development and its history, we often hear quotes emphasizing the importance of testing; however, in practice, we usually prioritize it as the last step, perhaps ahead of documentation. Without proper testing, ensuring the quality of your software is nearly impossible. Tests work as a safety certification, catching issues early and ensuring that your software behaves as expected. Despite their clear advantages — improved code quality, easier refactoring, and better adaptability for future changes — tests are often neglected. The reality is that testing is a long-term investment, and many software engineers and tech leaders tend to underestimate its importance. This article aims to highlight why testing should be an integral part of your development workflow, particularly when working with Jakarta EE.

The Immune System of Software: Can Biology Illuminate Testing?

Aggregated on: 2025-08-11 11:29:36

"It is one of the philosophical enigmas of immunity that the self exists largely in the negative — as holes in the recognition of the foreign." — Siddhartha Mukherjee, The Song of the Cell In biology, the immune system is not simply a defence mechanism. It is a highly sophisticated, adaptive intelligence system that defines the organism by what it does not attack. In other words, immunity is not only about fighting pathogens; it is also about recognizing what to ignore. This paradox — that the self is defined by its invisibility to immune detection — offers profound insight, not just in biology but also in systems engineering, particularly software testing.

Agentic AI vs Traditional AI Agents: What Makes Them Autonomous?

Aggregated on: 2025-08-08 20:14:34

Artificial intelligence has developed, and the appearance of agentic artificial intelligence is a significant turning point. Unlike conventional AI agents, which depend too much on human cues, agentic AI systems (such as OpenAI’s Auto-GPT 3.0, Google’s Gemini Pro 1.5, and Meta’s LLaMA 3) demonstrate autonomy, initiative, and adaptive decision-making. This blog post examines how agentic AI differs from traditional agents, what innovations are leading the transformation, and what this means for the world of automation and work.

LangGraph Orchestrator Agents: Streamlining AI Workflow Automation

Aggregated on: 2025-08-08 19:14:34

In AI-driven applications, complex tasks often require breaking down into multiple subtasks. However, the exact subtasks cannot be predetermined in many real-world scenarios. For instance, in automated code generation, the number of files to be modified and the specific changes needed depend entirely on the given request. Traditional parallelized workflows struggle unpredictably, requiring tasks to be predefined upfront. This rigidity limits the adaptability of AI systems. However, the Orchestrator-Workers Workflow Agents in LangGraph introduce a more flexible and intelligent approach to address this challenge. Instead of relying on static task definitions, a central orchestrator LLM dynamically analyses the input, determines the required subtasks, and delegates them to specialized worker LLMs. The orchestrator then collects and synthesizes the outputs, ensuring a cohesive final result. These GenAI services enable real-time decision-making, adaptive task management, and higher accuracy, ensuring that complex workflows are handled with smarter agility and precision.

The Adaptive Modular Monolith Concept

Aggregated on: 2025-08-08 18:14:34

The Modular Monolith architecture is reshaping how software systems are built and evolved. Although splitting modules into independent microservices typically requires significant efforts - such as repackaging, redeployment, and reconfiguration - an ideal architecture would allow modules to be spun off as independent services effortlessly, without these manual steps. This capability distinguishes the Adaptive Modular Monolith concept from both traditional monoliths and microservices, providing a seamless, evolutionary path from simple development to scalable, flexible architectures on demand. It would enable starting with a unified, modular application and later extracting modules as standalone services with minimal overhead, combining the benefits of both monoliths and microservices in one system.

State Machines Behind the Scenes of Flight Booking and Payments

Aggregated on: 2025-08-08 17:14:34

Modern flight booking and payment systems are composed of numerous steps spanning multiple services. For example, an airline booking might involve one service to reserve a seat, another to process payment, and a third to issue the ticket (confirm the seat). All these steps must succeed to complete the booking; if any step fails, the prior steps’ effects should be undone to avoid inconsistencies. In a monolithic system, a single ACID transaction might handle this. But in a distributed microservices architecture, no single transaction can easily encompass seat inventory and payment across systems. As one article notes, in a flight booking scenario, a seat-reservation microservice cannot acquire a lock on the payment database (often an external service), so a different approach to transaction management is required – one that embraces loose coupling and eventual consistency . This is where state machines and the saga pattern come into play. A state machine models a process as a series of discrete states and transitions in response to events. We can define states corresponding to each stage of booking (seat selection, fare held, payment processing, ticket issued, etc.) and transitions triggered by events like “payment successful” or “seat hold expired.” For example, a travel booking flow might have states such as Booking Flight, Booking Hotel, Booking Car, Confirmation, and Error. Events then drive transitions between these states: e.g. a Flight booked event moves from Booking Flight to the next state, whereas a Flight booking failed event transitions to an Error state. Time-based events like Fare hold timeout are also part of the model . By enumerating all success and failure events (including timeouts), engineers can explicitly capture how the system should react at each step, ensuring no outcome is overlooked.

API Testing With Playwright: A Guide for QA Engineers and Developers

Aggregated on: 2025-08-08 16:14:34

Ensuring the quality and reliability of backend services through API testing is as crucial as testing the user interface. APIs act as the backbone for data exchange between different components and systems. Without robust API tests, defects can propagate unnoticed, leading to faulty features and unhappy users. Playwright, widely acclaimed as a next-generation browser automation framework, extends its capabilities beyond UI testing to support comprehensive API testing. By leveraging Playwright for API testing, QA engineers and developers benefit from a unified framework that seamlessly integrates API and UI tests. This article explores how to effectively use Playwright for API testing—from basics to advanced techniques—while offering practical advice and real-world examples.

Boosting Algorithms Demystified: A Deep Dive into XGBoost With Code and Explanation

Aggregated on: 2025-08-08 15:29:34

Boosting algorithms have become a staple in the machine learning world, particularly for structured/tabular data. Among these, XGBoost (Extreme Gradient Boosting) stands out as one of the most widely used and effective techniques. From winning Kaggle competitions to production-level applications, XGBoost consistently delivers top-tier performance. This post aims to provide a comprehensive and technically detailed exploration of boosting, focusing specifically on XGBoost, complete with concepts, practical insights, and experimental strategies. The Foundation: What Is Boosting? Boosting is an ensemble technique designed to convert a set of weak learners into a strong one. It builds models sequentially, each new model attempting to correct the errors made by the previous ones. The core idea is not just averaging predictions (like bagging) but optimizing the overall model by learning from residuals or gradients.

Designing Secure APIs: A Developer’s Guide to Authentication, Rate Limiting, and Data Validation

Aggregated on: 2025-08-08 14:29:34

APIs have emerged as the cement of the contemporary application. APIs are at the heart of the movement of data, and the interaction of systems, whether in the form of mobile apps and web frontends or microservices and third-party integrations. However, along with this omnipresence there is exposure. Malicious actors will usually start with APIs to exploit low-security authentication, rate-limit bypass, and malicious payload injection. This article will examine some of the most important concepts that developers should use to create secure APIs; namely authentication, rate limiting, and input validation. Authentication: Controlling Access at the Door Authentication defines who can access your API and improper authentication is one of the most frequent reasons of data leakage. Although internal API use cases continue to use static API keys, newer systems are using tokens to provide more granular and scalable control, e.g. JWT (JSON Web Tokens) or OAuth2.

CSS Hide and Seek: Choosing Between display: none and visibility: hidden

Aggregated on: 2025-08-08 13:29:34

When it comes to hiding elements in CSS, developers often face a fundamental choice: should they use display: none or visibility: hidden? While both properties can make elements disappear from view, they behave very differently under the hood. Understanding these differences is crucial for creating efficient, accessible, and maintainable web applications. The Core Difference The primary distinction between display: none and visibility: hidden lies in how they affect the document flow and layout:

VB6 vs. C#: How to Migrate and Modernize Your Legacy Code

Aggregated on: 2025-08-08 12:29:34

Introduction to VB6 and C#: Why Modernization Matters Visual Basic 6 (VB6) was once a popular choice for Windows application development. However, as technology evolved, VB6 became outdated, with Microsoft officially ending support in 2008. Today, businesses relying on VB6 applications face increasing security risks, compatibility issues, and maintenance challenges. In contrast, C#—a modern, object-oriented programming language developed by Microsoft—offers significant advantages, including enhanced security, cross-platform compatibility, and seamless integration with modern technologies like cloud computing and microservices.

Databricks DBRX vs OpenAI GPT-4o vs Claude 3: Which LLM Is Best for Enterprise Use Cases?

Aggregated on: 2025-08-08 11:29:34

Enterprise AI has been shaped in new ways due to the fast development of large language models (LLMs). More companies are starting to use these models to enhance their approach to workflow, improve automated communication, make analyzing data easier, and develop smart applications. There are three leading language models in this fast-changing environment. Databricks DBRX, OpenAI’s GPT-4, and Anthropic’s Claude 3. Every model offers a separate solution to the needs of enterprises with open-source flexibility, multi-modality, or ethical consideration. Databricks DBRX: The Open-Source Powerhouse Databricks’ DBRX gives businesses a chance to manage and adapt their infrastructure more effectively. Only a part of its parameters are used for making inferences, so inference becomes quick and efficient. This is possible because of the design, which ensures it is very precise and smooth. DBRX has gained recognition for being open-source, giving users a chance to modify and edit the model they download for free. You may install the model in either the company’s private cloud or on their servers, which helps it to comply with their security protocols. Furthermore, using the Databricks Data Intelligence Platform allows companies to scale their use of LLM models easily and make sure they are properly managed and used. Those who have their data and systems internally can use DBRX to guarantee both transparency and excellent results.

Exploring C++23: Multidimensional Subscript Operator

Aggregated on: 2025-08-07 20:29:34

C++23, the latest iteration of the C++ programming language standard, brings a plethora of exciting features and improvements to the table. Among these is the multidimensional subscript operator, a long-awaited addition that promises to simplify and enhance the way we interact with multidimensional arrays and containers. In this article, we'll delve into the world of multidimensional subscript operators, exploring their syntax, usage, and benefits. We'll also examine how this feature integrates with existing C++ constructs and what implications it has for our coding practices.