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AI Dictionary: An Essential Glossary for Modern Artificial Intelligence Artificial Intelligence evolves quickly, and keeping up with terminology is essential for anyone working in technology, business, or research. This dictionary summarises the key terms used across machine learning, deep learning, natural language processing, generative AI, and applied systems. A AGI (Artificial General Intelligence) A theoretical form of AI capable of understanding, learning, and applying intelligence across any task at human level or beyond. ...

🧩 IBM MQ — Enterprise Messaging Done Right Overview IBM MQ is a robust, enterprise-grade messaging middleware that provides secure, reliable, and transactional communication between applications, systems, and services. It has been a global leader in enterprise messaging for decades, powering the world’s largest banks, insurers, manufacturers, and public institutions. Its strength lies in guaranteed message delivery, decoupling of systems, and proven reliability across hybrid environments — from mainframes and on-prem to containers and cloud-native architectures. ...

Terraform: The Definitive Infrastructure-as-Code Tool for Modern Enterprises In an era where infrastructure must be agile, repeatable, and scalable, Infrastructure-as-Code (IaC) has become a foundational paradigm. At the heart of many IaC practices lies Terraform — an open-source tool developed by HashiCorp that lets organisations define, provision, and manage infrastructure through declarative configuration. ([HashiCorp Developer][1]) This article provides a deep dive into Terraform: its origins, core concepts, workflow, architecture, strengths and weaknesses, enterprise adoption patterns, how to operate it at scale, and what the future holds. ...

GitOps: The Definitive Guide to Modern Cloud Automation In the world of cloud-native development, GitOps has become the new gold standard for managing infrastructure and application delivery. It unifies Git, CI/CD, and automation into a single, coherent operating model — one that’s declarative, auditable, and self-healing. This article will take you from first principles to practical implementation, covering everything you need to know about GitOps — from YAML files and GitHub Actions to how it replaces traditional CI/CD tools like Jenkins. ...

Understanding Redis: The In-Memory Data Platform for Modern Apps By a developer / solution architect perspective 1. Introduction In today’s world of high-scale web applications, low-latency microservices and real-time analytics, the demands on data stores are steadily increasing. Traditional relational databases often struggle when you need ultra-fast lookups, high throughput and flexible data structures. This is where systems like Redis shine. Redis is an open-source, in-memory key-value store that goes beyond simple caching: it offers rich data structures, persistence options, clustering, replication, and a wide variety of use-cases that make it a very attractive component for building modern architectures. According to various sources: ...

The Evolution of Modern Technology: From the Server Room to the Age of Intelligence Technology doesn’t just evolve — it reshapes how we think, build, and live. In just a few decades, we’ve moved from clunky mainframes and static web pages to cloud-native microservices and generative AI systems capable of reasoning, coding, and conversation. This article takes a journey through the key technological milestones that shaped the modern IT landscape — from the birth of the Internet to the era of Artificial Intelligence — and explores how each revolution laid the foundation for the next. ...

Understanding DataStore Solutions: Choosing the Right Database for the Right Context Data is the backbone of modern IT systems. Whether we’re building transactional systems, analytics platforms, or AI pipelines, how we store, retrieve, and manage data determines scalability, performance, and reliability. However, not all data is equal — and neither are databases. Over the past 40 years, the industry has evolved from relational databases (RDBMS) to a vast ecosystem of specialised solutions: key-value stores, column-family systems, document databases, graph stores, and time-series databases. ...

The Model Context Protocol (MCP) and Its Role in Modern AI Systems Artificial Intelligence (AI) has rapidly moved from research labs to enterprise production environments. Large Language Models (LLMs) — the engines behind chatbots, assistants, and generative systems — are now used to automate knowledge work, improve productivity, and enhance decision-making. However, there’s a persistent architectural problem: how do we connect models safely, efficiently, and consistently to real-world systems, tools, and data? ...

The Core Pillars of IT in a Large Enterprise In today’s digital-first world, technology is the backbone of every large organisation. But running enterprise IT isn’t just about keeping systems online — it’s about managing complexity, ensuring resilience, and aligning technology with business strategy. To succeed, an enterprise needs to focus on several key areas that collectively form the foundation of a robust IT ecosystem. These are the six core pillars of IT in a large enterprise. ...

CORS on webMethods API Gateway: How to configure, test, and troubleshoot CORS is one of those things that’s invisible when it’s right and maddening when it’s wrong. If you’re exposing APIs through IBM’s webMethods API Gateway and serving a browser-based frontend, this guide will show you how to set up CORS correctly, verify it with curl, and fix common issues fast. TL;DR Enable the CORS policy on your API (or as a Global Policy) in API Gateway. Explicitly allow the frontend Origin, HTTP methods, and custom headers your app uses. Let the gateway handle preflight (OPTIONS) requests and don’t require authentication for them. Test with curl using -H “Origin: …” and use -X OPTIONS for preflight checks. Watch out for credentials + “*” mismatch, missing allowed headers, or upstream proxies blocking OPTIONS. What CORS is (and isn’t) What it is: A browser-enforced security model that restricts cross-origin HTTP calls made by frontend code (e.g., https://app.example.com calling https://api.example.com). What it isn’t: A server-to-server restriction. curl, Postman, and backend services aren’t blocked by CORS. Simple vs preflight: Simple requests: GET/HEAD/POST with limited headers may not trigger a preflight. Preflight: For other methods (PUT/PATCH/DELETE), custom headers (Authorization, X-API-Key, etc.), or content types, the browser sends an OPTIONS request first to check what’s allowed. Key headers ...