Cloud News, Latest Updates and Recent Announcements on Techminis

A naukri.com initiative

New

Home

Cloud News

Dev

Image Credit: Dev

MCP — Azure CLI integration

Model Context Protocol (MCP) serves as an open standard for consistent connections between AI models and various applications.
MCP allows AI assistants to communicate with different software applications using a standard language, akin to a universal remote control.
MCP eliminates the need for separate adapters, providing a more efficient and scalable integration process.
The framework of MCP consists of Host, Client, and Server components to facilitate communication between systems.
MCP Server acts as an internal translator, interpreting requests and executing actions within applications.
MCP Server's adapters describe the services offered by the application, facilitate command parsing, response formatting, and error handling.
MCP clients maintain a 1:1 connection with MCP servers, enhancing the capabilities of AI assistants.
Azure CLI MCP Server integrates with Azure CLI, providing enhanced functionality and prompts for users.
Installation of Azure CLI MCP Server involves steps like installing Azure CLI, authenticating to Azure, and setting up Java.
Usage of the server can be configured in the claude_desktop_config.json file to point to the azure-cli-mcp.jar location.
While the current implementation of the MCP server mainly supports local usage with Azure CLI credentials, future enhancements may include remote support with improved security measures.

Read Full Article

3 Likes

Digitaltrends

Image Credit: Digitaltrends

Meta’s latest open source AI models challenge GPT, Gemini, and Claude

Meta has announced the latest iteration of its open-source AI model family Llama 4.
Llama 4 includes four models, with Llama 4 Scout and Llama 4 Maverick already available and Llama 4 Behemoth in training.
Meta compared Llama 4 models to competitor AI technologies and found Llama 4 Maverick outperformed OpenAI GPT-4o and Google Gemini 2.0 models.
Meta aims to reduce the hardware costs of training its powerful Llama 4 Behemoth model.

Read Full Article

2 Likes

Digitaltrends

245

Image Credit: Digitaltrends

iPad is the best secondary screen I’ve used with a MacBook

Using an iPad as a secondary screen with a MacBook is highly convenient and solves common external monitor issues like cable clutter and port availability.
The seamless integration within the Apple ecosystem allows for effortless connection between a Mac and an iPad without the need for complex setups.
The versatility of using an iPad as a secondary screen enhances workflow by allowing for easy app switching and multitasking, offering additional screen real estate.
The iPad's OS flexibility, especially with features like Sidecar and Universal Control, further enhances the user experience by providing input capabilities between devices.
Despite limitations in iPadOS, using an iPad as a secondary monitor for a Mac proves to be more beneficial than using it solely as a standalone tablet.
The ability to utilize mobile apps on the iPad for certain tasks, combined with fluid interaction between devices, enhances productivity and usability.
While some scaling and rotation issues persist, the iPad's utility as a secondary screen outweighs its limitations, especially for those heavily engaged in the Apple ecosystem.
The synergy between a Mac and an iPad as a secondary screen provides a seamless and efficient workflow, addressing the needs of professionals working across multiple apps and platforms.
Overall, the use of an iPad as a secondary screen offers a practical solution for enhancing productivity on a MacBook, showcasing the benefits of cross-device compatibility.
The integration of an iPad as a secondary screen adds value to the overall work setup, offering enhanced multitasking capabilities and convenience for different types of tasks.

Read Full Article

14 Likes

Tech Radar

Image Credit: Tech Radar

Microsoft Copilot is putting eyes on your screen, and I don't mind it – as long as it stays private

Microsoft Copilot Vision, an AI assistant, will be embedded in Windows 11 and the mobile app, offering proactive help across apps, websites, and smartphone camera views.
Copilot Vision's expansion raises concerns about privacy as it can access and analyze the contents on a user's screen.
Control and trust will play a significant role in Copilot Vision's success, as users should have the ability to control permissions and be aware of when the AI assistant is active.
Despite privacy concerns, Copilot Vision is expected to be a useful addition to Copilot, particularly on the well-designed mobile app.

Read Full Article

Dev

275

Image Credit: Dev

TicketCraft: Dynamic Ticket Generator

The developer created a FastAPI service using Python's Pillow library to generate personalized conference tickets as dynamic images.
The project's main features include a modular system for managing conference configurations, data modeling using Pydantic, and an adaptive text sizing algorithm to accommodate varying lengths of attendee names.
The developer used Pulumi to deploy the project on AWS, which reduced the learning curve of working with Terraform's infrastructure as code.
Challenges faced include adjusting the Docker build context in Pulumi code and overcoming the limitations of traditional template-based ticket generation methods.

Read Full Article

16 Likes

Dev

185

Image Credit: Dev

Cloud Resume Challenge

I began the Cloud Resume Challenge with limited knowledge of HTML and no experience with AWS.
Throughout the challenge, I expanded my understanding of AWS, HTML, and gained proficiency with GitHub.
I learned how to create bullet points, link references, and make my website responsive to different screen sizes.
I also acquired skills in creating custom domains, utilizing S3 buckets, and implementing AWS security systems.

Read Full Article

11 Likes

Dev

284

Image Credit: Dev

Shhh, It's a Secret! 🔐 Secure Config Management with Pulumi ESC

A secret management orchestrator using Pulumi ESC is built to securely store and rotate credentials across multiple cloud providers.
The solution enforces RBAC policies with least privilege access and integrates with existing CI/CD pipelines, providing audit logging for all secret operations.
By implementing automatic encryption at rest/in transit, the Pulumi ESC solution addresses the challenges of managing sensitive data, including credential sprawl, rotation complexity, and compliance risks.
Key security features of the solution include zero-knowledge encryption, granular RBAC, immutable auditing, and automatic key phasing.

Read Full Article

17 Likes

Dev

103

Image Credit: Dev

Step-by-step guide on how to create a Windows 11 VM that is highly available on the Azure portal.

Creating a highly available Windows 11 virtual machine (VM) on the Azure portal is essential for ensuring reliability and continuous access to your applications.
This step-by-step guide walks you through setting up and configuring a Windows 11 VM with features that enhance availability and fault tolerance.
The guide covers steps like creating a new resource group, setting up load balancing, and configuring administrative details for the VM.
By completing this guide, you've successfully created a highly available Windows 11 virtual machine on the Azure portal.

Read Full Article

6 Likes

Digitaltrends

Image Credit: Digitaltrends

I’ve used a touchscreen PC for years. Here’s why I’m never going back

Having a touchscreen on a PC proved to be a lifesaver for the author when their mouse malfunctioned during an important project.
The convenience and speed of using a touchscreen for various tasks like scrolling, zooming, and pausing videos made the author quickly adapt to its usage.
Despite the benefits, touchscreens come with drawbacks such as additional cost, faster screen dirt accumulation, and increased battery consumption.
The author found the peace of mind and enhanced user experience provided by the touchscreen worth the extra investment, especially after it saved them in a critical situation.
The article highlights the convenience of using a touchscreen PC without a mouse, especially for activities like browsing in bed.
Even though managing a touchscreen device may require extra care and attention, the author prefers sticking with a touchscreen PC due to its overall advantages.

Read Full Article

Dev

185

Image Credit: Dev

Deploying a Static E-commerce Site to AWS Using Pulumi

A developer built and deployed Ticaz Bags & Luggage, a static e-commerce website, using Pulumi and AWS.
The website features clean UI, responsive design, and smooth navigation, offering an enjoyable online shopping experience.
Pulumi was used to set up the cloud infrastructure on AWS, including S3 bucket, CloudFront distribution, IAM roles, and Pulumi stack.
The project utilized React, Vite, and Tailwind CSS, providing fast performance and responsive design.

Read Full Article

11 Likes

Digitaltrends

262

Image Credit: Digitaltrends

Google Gemini’s best AI tricks finally land on Microsoft Copilot

Microsoft's Copilot has incorporated two AI products, Gemini and ChatGPT, into its platform.
Deep Research, a comprehensive and well-drafted research tool, is now part of the Copilot bundle.
Copilot now offers AI podcasts, allowing users to interact and resume while listening.
Copilot Search is introduced as an AI mode for Microsoft's Bing engine.

Read Full Article

15 Likes

Dev

124

Image Credit: Dev

Optimizing AWS SAM Node.js Lambda with esbuild

Optimizing AWS SAM Node.js Lambda with esbuild
Add esbuild to the AWS SAM project and configure it as the build method
Handle external dependencies and compile TypeScript (optional)
Using esbuild with AWS SAM reduces package size and speeds up cold start times

Read Full Article

7 Likes

Dev

189

Image Credit: Dev

Using Pulumi IaC to deploy NextJs static website with AWS S3 and EC2

This is a submission for the Pulumi Deploy and Document Challenge: Fast Static Website Deployment
Built a static website using the NextJS framework and deployed it to AWS S3 and EC2 using Pulumi IaC.
The Pulumi code included steps to create an S3 bucket for website hosting and upload static export files from the NextJS app.
The final output of the deployment was the website URL of the S3 bucket.

Read Full Article

11 Likes

Digitaltrends

159

Image Credit: Digitaltrends

Acer Swift AI 16 review: a large and lovely OLED display is the difference

The Acer Swift AI 16 features an excellent OLED display, solid productivity performance, and a quality build at an attractive price point.
The laptop's pros include the OLED display, productivity performance, a good but slightly cramped keyboard, and an attractive price, while cons include mediocre battery life and a small touchpad.
The Acer Swift AI 16 comes with an Intel Core Ultra 7 256V chipset, 16GB of RAM, 1TB SSD, and a 16-inch 2.8K OLED display at a price of $1,250.
The laptop's design is reasonably sized and lightweight, though its construction and aesthetics are just average.
The keyboard on the Swift AI 16 offers snappy switches and a light touch, but the keycaps are slightly smaller and cramped due to the inclusion of a numeric keypad.
Connectivity on the laptop is good with a mix of modern and legacy ports, and it features a high-res 1440p webcam with Acer-specific utilities for optimized video and audio during conferences.
Performance-wise, the Swift AI 16 powered by Intel's Lunar Lake chipsets offers efficient multitasking capabilities suitable for daily tasks, but not ideal for gaming or intensive creative work.
The laptop's expansive OLED display is its standout feature, offering a sharp resolution, high refresh rate, and excellent color accuracy for both productivity and media consumption.
Battery life on the Swift AI 16, though not the best, is reasonable for a 16-inch laptop with a 70 watt-hour battery.
Overall, the Acer Swift AI 16 is a well-priced laptop with a gorgeous OLED display that compensates for its average performance, battery life, and design.
The large OLED display on the Swift AI 16 elevates the laptop's appeal, making it a compelling choice for users who prioritize a stunning visual experience.

Read Full Article

9 Likes

Medium

142

Image Credit: Medium

A Visionary’s Journey Through Technology: From Dartmouth to the AI-Driven Future

The article traces the evolution of technology from the rise of Hadoop in 2008, democratizing big data analysis to the launch of Microsoft Azure, marking a shift to cloud computing.
Innovations like .NET Framework updates and the advent of NoSQL databases in 2010 revolutionized data management and development capabilities.
The introduction of Azure services like Azure IoT Suite and Azure Machine Learning in 2015 marked Microsoft's commitment to democratizing AI for all organizations.
The advancements in cloud data warehousing with AWS Redshift and the expansion of Azure's IaaS capabilities in 2012 accelerated the adoption of cloud technologies.
Microsoft's launch of ML.NET in 2018 and .NET Core 3.0's support for IoT development showcased the integration of AI and IoT in modern applications.
The article further explores the convergence of generative AI and cloud-scale data in 2023, leading to hyper-personalized insights and decision automation.
Microsoft's continuous innovation with platforms like Azure OpenAI Service, Azure AI Studio, and .NET 8.0 showcases the future-ready approach to AI-powered applications.
The intersection of cloud computing with sovereign needs, quantum computing integration, and sustainability initiatives underscores the evolving landscape of technology.
The article concludes by highlighting the limitless possibilities of multimodal AI and generative AI in reshaping industries and redefining application capabilities.

Read Full Article

8 Likes

For uninterrupted reading, download the app

Cloud News

Discover more