Here is short info about post: Artificial General Intelligence (AGI) has traditionally been imagined as a single, unified, monolithic system—one model, one reasoning core, one dominant objective function capable of matching or exceeding human cognitive breadth. While this vision has driven decades of research, it is increasingly clear that such monolithic AGI architectures face fundamental limitations in scalability, robustness, alignment, adaptability, and governance. As we move toward what can be described as Post-AGI Architecture, a new paradigm emerges: Augmented Collective Intelligence (ACI). Post-AGI architecture does not ... Post Artificial General Intelligence Architecture

Here is short info about post: Processing a million+ recording files (audio, video, binary blobs, or JSON/XML records extracted from recordings) is not just “more work” — it is a completely different class of engineering problem. When you try to treat the dataset like a single in-memory collection, you quickly hit physical memory limits, GC pressure, and unpredictable latency. Systems that load all file contents or build a huge in-memory array of metadata or messages will run out of heap, stall, or crash. Streaming is the ... Why Streaming Is The Correct Approach For Processing Over A Million Recording Files Without OutOfMemory Errors

Here is short info about post: Testing RESTful APIs is a critical part of modern backend and integration testing strategies. Among all HTTP methods, POST requests often require the most careful validation because they involve sending structured payloads to create or process resources on the server. In Java-based test automation, REST Assured has emerged as one of the most popular libraries for API testing due to its expressive syntax and tight integration with testing frameworks such as JUnit and TestNG. However, writing effective POST API tests ... Testing a POST API in Java Using JSON Files, Builder Pattern, Datafaker, and REST Assured

Here is short info about post: Containerization has become a foundational practice in modern software development. By packaging applications together with their dependencies, containers ensure consistency across development, testing, and production environments. For .NET developers, Docker provides a powerful and flexible way to deploy web applications efficiently. This article provides a deep, end‑to‑end guide on how to containerize a .NET 10 web application using Docker. We will explore Docker fundamentals, multi‑stage builds for optimized images, Docker Init for fast scaffolding, and Docker Compose for managing multi‑container ... How To Containerize .NET 10 Web Applications With Docker

Here is short info about post: Distributed SQL has rapidly become a foundational technology in contemporary data ecosystems, enabling organizations to achieve horizontal scalability, global availability, strong consistency, and real-time analytical insights—all within a familiar SQL interface. As data infrastructure evolves toward cloud-native and serverless paradigms, distributed SQL systems now power mission-critical applications requiring fault tolerance, workload elasticity, and low-latency access across regions. This article explores key concepts behind Distributed SQL—including consensus, partitioning, serverless scaling, vector indexing, and production best practices—while providing coding examples along the ... Distributed SQL in Modern Data Ecosystems

Here is short info about post: Software teams rely on telemetry—logs, metrics, traces, events—to understand how applications behave in real time. Observability enables rapid debugging, improves reliability, and supports data-driven decisions. But as telemetry systems grow, developers often face a frustrating slowdown in what is known as the inner development loop: the fast cycle of coding, testing, debugging, and validating changes locally. When telemetry pipelines become heavy with data volume, network hops, and transformations, the loop becomes slower, noisier, and more expensive. One of the most ... How To Speed Up the Inner Development Loop By Using Processors in Telemetry Pipelines

Here is short info about post: Here is a detailed and practical guide that walks you through building a lightweight Form Management Platform using Angular 17 and SurveyJS. It includes architecture notes, concrete code examples (frontend + a minimal backend), as well as tips for customization (validation, custom question types, persistence). Why Angular 17 + SurveyJS? SurveyJS is a mature JSON-driven form/survey library that gives you a visual builder (Survey Creator), a renderer (Survey Form Library), and strong extension points (custom question types, validators). Angular 17 ... How To Build A Form Management Platform With Angular 17 And SurveyJS

Here is short info about post: Designing a cost-efficient Redis deployment is a balancing act between performance, resilience, and operational complexity. Redis, as one of the fastest in-memory data stores, often becomes a critical part of large systems that need low-latency caching, message queues, leaderboards, and session stores. Yet, high-performance clusters can become expensive, especially when managed services or bare-metal instances are used without optimization. Fortunately, the combination of Docker containerization and Redis multi-master replication enables you to engineer a minimized-cost infrastructure without sacrificing reliability or ... How To Design a Redis Cluster To Minimize Infrastructure Cost By Combining Docker and Multi-Master Replication

Here is short info about post: Generative AI is revolutionizing technical support operations, enabling organizations to automate troubleshooting, reduce resolution times, and enhance customer experience. Yet one of the greatest challenges remains: how to ensure consistent quality and reliable performance from these AI agents when dealing with highly complex, dynamic technical environments. Modern IT ecosystems are rarely static. APIs evolve, product features change monthly, logs differ by platform, and user behaviors vary constantly. A GenAI agent that performs well today may degrade tomorrow unless it is ... How a Dual-Layer AI Framework Ensures Continuous Quality and Reliable Performance of GenAI Support Agents in Complex Technical Environments

Here is short info about post: Optimizing software for performance has become essential in an era where cloud computing, high-density workloads, and energy-efficient architectures dominate the industry. With the rise of cloud-native ARM-based processors—such as those from Ampere Computing—developers now have an opportunity to tune applications for better performance, scalability, and power efficiency on modern architectures. The Ampere Performance Toolkit (APT) is a powerful suite designed to help developers profile, optimize, and validate application performance on Ampere processors. It offers tools for benchmarking, performance evaluation, repeatable ... Ampere Performance Toolkit for Software Optimization and Fast, Repeatable, and Easy Performance Testing

Here is short info about post: Modern computing relies on different types of processors, each designed to excel at particular classes of tasks. Whether you are developing machine learning models, performing large-scale scientific simulations, or building real-time systems, your performance—and sometimes cost efficiency—depends heavily on choosing the right hardware. The three most common compute architectures available today are CPUs (Central Processing Units), GPUs (Graphics Processing Units), and TPUs (Tensor Processing Units). Though they can all execute mathematical operations, they do so in fundamentally different ways and ... Architectural Differences, Use Cases, And When To Use CPUs, GPUs, And TPUs

Here is short info about post: Recent advances in Retrieval-Augmented Generation (RAG) have revolved around improving each of its two major components—retrieval and generation—individually. Yet, the longstanding challenge has been fusion: making retrieval and generation work together as a single, efficient, adaptive mechanism rather than two loosely connected modules. The CLaRa framework introduces a novel architecture that achieves this long-sought unification by using compressed latent vectors as the common representational currency between the retriever and the generator. The result is a system with higher throughput, lower ... How the CLaRa Framework Achieves True Fusion of RAG Retrieval and Generation via Compressed Vectors