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

Here is short info about post: Load testing is one of the most essential engineering practices in modern web application development. As applications scale, unpredictable traffic patterns, resource bottlenecks, and concurrency issues can arise. Apache JMeter remains one of the most powerful and popular open-source testing tools for measuring the performance of web applications, APIs, microservices, and distributed systems. But as helpful as JMeter is, running it manually through its GUI is rarely practical for continuous integration, automation pipelines, or large-scale iterative testing. This is where ... How To Perform a Complete Web App Load Testing Using Java Maven Plugins for Apache JMeter, and Processing the Performance Metrics Through a Dedicated POM File

Here is short info about post: Building a modern application security scanner requires more than signature checks and static rules. As we move deeper into 2025, the threat landscape continues to shift toward AI-assisted attacks, complex API ecosystems, and highly distributed cloud-native architectures. OWASP’s updated 2025 guidance emphasizes automation, repeatability, API introspection, secure defaults, and a stronger reliance on machine learning to enhance detection accuracy. This article walks you step-by-step through the concepts, architecture, and code you can use to build your own OWASP-aligned 2025 security ... How To Build an OWASP 2025 Security Scanner

Here is short info about post: Designing high-quality REST APIs is both an art and a science. While many teams often focus on delivering functionality quickly, the long-term usability, consistency, and scalability of an API can suffer without a clear architectural strategy. This is where Richardson’s Maturity Model (RMM) becomes a practical guiding framework. It helps designers and developers understand how to evolve an API from simple, ad-hoc implementations to fully RESTful systems that maximize clarity, discoverability, and interoperability. This article explores practical tips for REST ... Practical Tips for REST API Design Using Richardson’s Maturity Model to Build Consistent, Scalable, and Easy-to-Use APIs

Here is short info about post: Microfrontends have evolved from being a trendy architectural experiment to a mature, battle-tested approach for building and scaling modern web applications. By decomposing the frontend monolith into independently developed, deployed, and maintained units, teams gain autonomy and velocity while still contributing to a unified user experience. However, designing integration strategies that keep microfrontends truly independent—without degrading performance or user experience—remains one of the most challenging aspects of the architecture. This article explores advanced integration strategies for microfrontends, covering composition, communication ... Advanced Integration Strategies for Microfrontends

Here is short info about post: Modern Containerized Microservice Control Protocol (MCP) servers empower organizations to build robust, portable, and scalable microservice ecosystems. Pairing MCP servers with Docker amplifies their effectiveness—ensuring consistent environments, reproducible builds, and scalable deployments. As teams increasingly rely on containerization, understanding best practices for creating Dockerized MCP servers becomes essential for reliability, maintainability, and long-term success. This article explores best practices for building Dockerized MCP servers—from structuring images and managing dependencies to optimizing performance and improving operational workflows. It includes coding examples, ... The Best Practices for Building Dockerized MCP Servers

Here is short info about post: Modern identity and access governance (IAG) programs often struggle with application onboarding. Many enterprise applications lack native APIs, SCIM endpoints, or modern provisioning connectors. Some are legacy systems, some are proprietary, and some simply do not justify the cost or effort of building direct integrations. Yet, organizations still need governance controls—certifications, birthright provisioning, least-privilege access modeling, and access request workflows. A powerful and widely applicable strategy is to achieve access governance without building direct application connectors, by instead using: Existing ... How To Achieve Access Governance Without Direct Application Connectors By Leveraging Existing LDAP Integration and Groups as Entitlements

Here is short info about post: Artificial intelligence agents have rapidly evolved from experimental prototypes to production-ready components that drive automation, decision-making, and high-value enterprise workloads. Whether it’s orchestrating tasks, integrating with APIs, or reasoning over business logic, modern AI agents deliver predictable, repeatable outcomes that scale. Microsoft’s Semantic Kernel (SK) is one of the most powerful frameworks for building AI agents in .NET, Python, or Java. It provides a robust orchestration layer for Large Language Models (LLMs), enabling developers to unify memory, planning, connectors, functions, ... How To Build a Simple, Production-Ready AI Agent Using Semantic Kernel