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About April Joy Deang

April is an AWS Certified Cloud Practitioner. A lifelong learner, she believes that knowledge is ever-evolving and is currently exploring the transformative potential of Artificial Intelligence (AI).

Understanding the Agentic AI Security Framework: Made Easy

2025-12-02T14:05:57+00:00

Agentic AI is changing how we think about artificial intelligence. Instead of waiting for prompts, these systems can plan tasks, make decisions, and act on their own. They behave more like digital teammates than static tools, completing multi-step work and coordinating across apps, data, and even other agents all without constant human supervision. But with this new power comes new responsibility. When AI agents can access tools, call APIs, store memory, and influence other agents, the risks are no longer limited to “bad prompts” or one-time outputs. Autonomy introduces new attack surfaces: reasoning can be manipulated, memory can be poisoned, [...]

Understanding the Agentic AI Security Framework: Made Easy2025-12-02T14:05:57+00:00

Cloud Infrastructure Management through Natural Language

2025-11-25T17:46:41+00:00

As organizations increasingly rely on cloud-based infrastructure, managing resources across multiple AWS services can become complex and time-consuming. Traditionally, developers and DevOps engineers rely on Infrastructure as Code (IaC) tools such as AWS CloudFormation, Terraform, or CDK to create, modify, and maintain cloud environments. However, with the rise of Large Language Models (LLMs) and the Model Context Protocol (MCP), a new approach to cloud management is emerging one where infrastructure can be managed through natural language conversations rather than static code. The AWS Cloud Control MCP Server bridges this gap. It allows LLMs and AI assistants to interact directly with [...]

Cloud Infrastructure Management through Natural Language2025-11-25T17:46:41+00:00

Mastering AWS Made Easy: A Beginner’s Guide to the Knowledge MCP Server

2025-11-12T14:42:01+00:00

  Let’s be honest, keeping up with AWS feels like chasing a moving target. One minute you’ve mastered EC2 and Lambda, and the next, there’s a new service, multiple updates, and several ways to configure the same feature. For developers and architects exploring AI integrations, that learning curve becomes even steeper. AWS offers massive amounts of documentation—enough to fill a library—but finding what you actually need, like the right API reference or regional availability, can feel like searching for a needle in a haystack made of JSON.   Fortunately, the AWS Knowledge Model Context Protocol (MCP) Server changes the game. [...]

Mastering AWS Made Easy: A Beginner’s Guide to the Knowledge MCP Server2025-11-12T14:42:01+00:00

How Model Context Protocol (MCP) Servers Powered Modern Large Language Models (LLMs)

2025-11-12T14:40:49+00:00

  In today’s fast-growing world of artificial intelligence, Large Language Models (LLMs) like GPT, Claude, and Grok are becoming critical to digital transformation. These models can write human-like text, understand complex questions, and even automate business tasks. As LLMs became smarter, they faced a major problem: managing context. Early versions struggled to maintain consistent conversations, use real-time data, and handle large workloads. To solve this, Model Context Protocol (MCP) Servers were introduced. They help LLMs manage context in a dynamic, secure, and intelligent way.   Early context management of LLMs before MCP Servers Before MCP Servers, most LLMs relied on [...]

How Model Context Protocol (MCP) Servers Powered Modern Large Language Models (LLMs)2025-11-12T14:40:49+00:00

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