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Public, Private, and Hybrid Cloud: What's the Difference?

Public Cloud: Utilizing a public cloud involves third-party providers like AWS, Microsoft Azure, or Google Cloud hosting the infrastructure, offering advantages such as no initial hardware expenses and easy scalability.
Private Cloud: A private cloud is dedicated infrastructure used by a single company, providing complete control, security, and customization, but often comes with higher setup costs and limited scalability.
Hybrid Cloud: Hybrid cloud enables the movement of data and applications between public and private cloud environments, offering flexibility, cost-effectiveness, and leveraging public and private servers based on the workload.
Considerations: Public clouds are like public roads - easily accessible but with less control, while private clouds offer exclusivity but at a higher cost. Hybrid clouds combine the benefits of both, though integration and security can be challenging.

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Dev

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Deploying and Exposing Go Apps with Kubernetes Ingress, Part 1

Kubernetes Ingress is crucial for managing external access to services, offering advanced traffic control features like path-based routing, SSL, and load balancing.
Ingress vs. Services: Ingress improves routing capabilities over Services by enabling path-based and host-based routing for more sophisticated traffic management.
Introduced in Kubernetes v1.1, Ingress became stable in v1.19, providing a crucial tool for modern web apps needing smarter routing and security.
The tutorial demonstrates building Go services (API and Web) deployed with Kubernetes Ingress for routing external HTTP traffic based on URL paths.
API and Web services are containerized, Kubernetes cluster is set up using Kind, NGINX Ingress controller is deployed, and Ingress rules are defined for routing.
NGINX Ingress controller is implemented for managing routing and load balancing in the Kubernetes cluster.
Deployment configurations for API and Web services are created along with respective Service definitions for internal access.
Ingress resources are set up using defined routing rules based on URL paths to direct traffic to the appropriate services.
Verification steps ensure all components are running, and testing with cURL confirms the expected service responses through Ingress routing.
The project showcases the power of Ingress in managing complex traffic patterns in microservices architectures, enhancing external access and routing capabilities.

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Digitaltrends

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Is this AI video generator the future of anime? Definitely not

Japanese company Animon has developed an AI video generator for anime, allowing users to create short animations from still images.
The tool is designed to speed up the animation process by requiring only one hand-drawn frame per five seconds of video.
While the anime industry has been cutting corners and outsourcing work, low-quality animation can deter viewers.
Animon.ai produces five-second animations but has limitations in accurately depicting actions and maintaining visual consistency.
The AI struggles with details like character movements, scar placement, and text distortions in generated videos.
It performs better with 3D models, but its value proposition of saving time by drawing fewer frames is less relevant for 3D animation.
Animon.ai may be suitable for casual users seeking quick GIFs, but it lacks real value for amateur or professional animators.
AI video generators like Animon.ai currently lack reliability, consistency, and control, making them unsuitable for commercial use.
While the technology shows potential, it is not yet mature enough for serious animation work in the industry.

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Dev

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Mastering Azure Load Balancers: Your Step-by-Step Journey to Efficient Traffic Management

Load balancers in Azure act as orchestrators, distributing network requests among servers to prevent overload and ensure smooth service delivery.
Benefits of load balancers include optimized performance, high availability, and enhanced security against cyber threats like DDoS attacks.
Azure provides various load balancing solutions such as Azure Load Balancer, Application Gateway, Traffic Manager, and Front Door, each suited for specific use cases.
A step-by-step guide for creating a load balancer in Azure involves configuring basic settings, frontend IP, backend pools, inbound rules, and load balancing rules.
Testing the load balancer post-deployment ensures proper functionality in distributing traffic among backend virtual machines.
Azure Load Balancer is crucial for enhancing application speed, ensuring high availability, and boosting security within the Azure environment.
Following the provided guide equips you to deploy and configure a load balancer effectively for traffic management in Azure.
This tutorial serves as a solid foundation for cloud endeavors, offering insights into Azure services and empowering users to efficiently manage traffic flow.
Stay updated for more in-depth guides and insights on Azure services for continuous learning and improvement in your cloud projects.
Embrace the journey of mastering Azure Load Balancers and enjoy successful traffic management in your Azure environment!

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Dev

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Empowering Agentic AI: The Symbiotic Power of Microsoft Fabric and Azure AI Foundry

The article discusses the emergence of Agentic AI, which represents autonomous, goal-oriented, reasoning, planning, tool-using, learning, and memory-driven intelligent systems.
Microsoft's innovative integration of Fabric and Azure AI Foundry aims to empower the development of robust and scalable agentic AI solutions.
Agentic AI requires a solid data foundation and effective AI model orchestration, which are addressed by Microsoft Fabric and Azure AI Foundry, respectively.
Microsoft Fabric provides a unified analytics platform, ensuring clean, governed data access essential for building intelligent AI agents.
Azure AI Foundry offers specialized tools for customizing foundational models, orchestrating AI workflows, and ensuring responsible AI practices.
The integration of Fabric and AI Foundry enables accelerated development, context-aware agents, scalability, end-to-end MLOps, democratization of Agentic AI, and responsible AI implementation.
The future of AI is envisioned as agentic, and the collaboration between Microsoft Fabric and Azure AI Foundry signifies a significant advancement towards intelligent, autonomous AI systems.
Developers, data scientists, and organizations can leverage this integrated platform to drive innovation, efficiency, and the creation of intelligent applications for the future.
The article provides a practical scenario of an agentic AI assistant in a manufacturing plant, showcasing the capabilities and benefits of this advanced technology.
By integrating data unification with advanced AI tools, the Fabric and AI Foundry collaboration promises a cohesive ecosystem that propels the future of AI development.
The article invites readers to share their thoughts and experiences on exploring agentic AI and the integrated platform's potential for revolutionizing AI applications.

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Tech Radar

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There’s a new AI agent ready to browse the web and fill in forms without the need to touch your mouse

Hugging Face has introduced an AI tool called Open Computer Agent for web browsing and form filling.
This agent can perform tasks like getting directions or booking tickets using a real web browser.
The Open Computer Agent functions like a personal assistant inside your web browser, clicking buttons and filling forms like a human.
The agent is open-source, allowing for customization and niche use cases, and represents a new approach to AI in active participation.

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Siliconangle

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Weeks after IPO, CoreWeave reportedly seeking $1.5B in debt financing

CoreWeave Inc. is reportedly seeking $1.5 billion in debt financing through high-yield bonds, led by JPMorgan Chase & Co., following its lackluster IPO in late March.
The company, known for its cloud platform optimized for AI workloads, launched in 2017 focusing on cryptocurrency mining before transitioning to AI operations with a network of 32 AI-optimized data centers.
CoreWeave has incurred significant debt to build its AI infrastructure, with $12.9 billion borrowed in two years. The company might refinance some loans with the latest debt raise, aiming to address its $8 billion loan balance and $7.5 billion interest payments through 2026.
CoreWeave's fundraising efforts come shortly after its Nasdaq debut where it raised $1.5 billion, below its initial target. The company, with customers like Microsoft, Meta Platforms, and OpenAI, plans to expand its data center network, increase focus on international markets, and offer more software products to cloud customers.

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Guardian

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Paul McCartney and Dua Lipa among artists urging Starmer to rethink AI copyright plans

Leading figures and organizations in the UK's creative industries, such as Coldplay, Paul McCartney, and Dua Lipa, advocate for protecting artists' copyright from big tech companies using AI without permission.
An open letter to Keir Starmer emphasizes that copyright is vital for artists and warns that proposed legal changes could jeopardize the UK's creative power and future income.
The letter calls for an amendment by Beeban Kidron that requires AI firms to inform copyright owners of using their work, with more than 400 signatories supporting the change.
Supporters of the amendment argue that it will ensure compensation for creatives and impact the training of AI models using copyrighted material.

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Digitaltrends

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This Acer Chromebook is on sale for a very affordable $149

The Acer Chromebook 315, originally priced at $299, is currently on sale for just $149 at Best Buy after a $150 discount.
Chromebooks like the Acer Chromebook 315 run on Google's Chrome OS, offering fast startup and performance with web-based apps. Despite its basic components, it is suitable for daily tasks like managing documents and streaming shows.
Features of the Acer Chromebook 315 include a 15.6-inch Full HD display, 10-hour battery life, and 64GB eMMC storage. It offers good value at its original price and is a steal at the discounted price of $149.
Act quickly to take advantage of this offer as the $150 discount may not last long. Ensure to complete your purchase promptly to secure the device at half its regular price.

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Dev

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Finding (and recovering) your Amazon Q Developer prompt history

Amazon Q Developer now has a feature to view chat history, found next to the tabs in the chat interface.
The chat history is stored in the ~/.aws/amazonq/history directory as time/date stamped JSON files.
Even if the project is deleted in VSCode, the chat history files can be accessed from the history directory for review with a JSON viewer.
Reviewing these files can help in extracting all history, including prompts and responses, providing a way to go back in time within Amazon Q Developer.

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Dev

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Building a Book Sharing application with Amazon Q CLI

The article discusses building a book sharing application using Amazon Q CLI to create a platform for friends to share book recommendations and borrow books.
The author outlines the data model criteria, including user registration, book definitions, comments, and borrowing features.
Scaffolds are used to guide Amazon Q CLI in the coding process, ensuring consistency.
The author follows a development flow pattern, focusing on identifying changes, generating prompts, testing code, and iterating.
Iterative changes include displaying available books, hiding created books, updating user profiles, and adding new categories.
Amazon Q Developer is used to review the generated code for issues such as cross-site scripting and library vulnerabilities.
The author addresses challenges like unintended code changes and updates after library changes during the review process.
Documentation is updated with new features and a detailed UML sequence diagram for user registration, adding books, and borrowing/returning books.
The article concludes with the author's satisfaction with the application and encourages readers to try Amazon Q CLI.
Overall, the use of Amazon Q CLI in conjunction with Amazon Q Developer proves effective in developing the book sharing application.

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Siliconangle

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Workforce management startup Rippling raises another $450M at $16.8B valuation

Workforce management startup Rippling People Center Inc. raises $450 million in additional funding, reaching a valuation of $16.8 billion.
The Series G round had participants like Y Combinator, Sands Capital, Goldman Sachs Growth, Baillie Gifford, and GIC. Rippling also held a $200 million tender offer for current and former employees.
Rippling's rapid sales growth led to the increase in valuation, with annual recurring revenue exceeding $570 million. The company is prioritizing top-line growth over profitability and doesn't plan to go public soon.
Rippling provides cloud platforms for HR teams to manage payroll, benefits, and recruitment. It also offers IT tools for managing employee access, device management, and expense tracking.

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Cloudwards

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How & Where to Watch The Expanse Online for Free in 2025: Streaming Guide

To watch 'The Expanse' online, sign up for NordVPN's two-year plan which offers a reduced price and a money-back guarantee, then connect to a U.S. server and subscribe to Amazon Prime Video for streaming.
The article highlights the best VPNs for streaming 'The Expanse' including NordVPN, Surfshark, and ExpressVPN, emphasizing the need for a VPN to access content not available in your location.
All six seasons of 'The Expanse' are currently available on Amazon Prime Video in the U.S., while seasons four to six are accessible in most Amazon libraries.
The show was initially canceled by Syfy after three seasons but was revived by Amazon Prime for seasons four to six, with certain seasons possibly leaving the platform due to licensing agreements.
The article also mentions using a VPN to access 'The Expanse' if it's not available in your location and provides steps to set up a VPN for streaming on Amazon Prime Video.
'The Expanse: One Ship,' a collection of webisodes, is available on Amazon Prime Video, and there is no announcement of a seventh season of the series so far.
For those looking to watch 'The Expanse' online for free, the article suggests using a VPN along with an Amazon Prime Video subscription and a free trial to stream the series.
The article also recommends various VPN options like NordVPN, Surfshark, and ExpressVPN for streaming 'The Expanse,' providing details on server locations and performance.
The cast and plot of 'The Expanse' are discussed, focusing on its futuristic setting and the fragile peace among Earth, Mars, and the asteroid belt, along with key characters.
Overall, the article serves as a streaming guide for 'The Expanse,' addressing where to watch the series, the importance of VPNs for accessing geo-restricted content, and the availability of all six seasons on Amazon Prime Video in the U.S.
Readers are encouraged to share their thoughts on the series, VPN usage, and their experiences in the comment section, concluding the guide on watching 'The Expanse' online.

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Tech Radar

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NBC resurrects legendary NBA voice Jim Fagan using AI

NBC Sports plans to use an AI-generated version of legendary announcer Jim Fagan's voice in its upcoming NBA coverage, evoking nostalgia for 1990s basketball.
The AI recreation of Jim Fagan's voice will be used in show opens, promotional spots, and playoff broadcast lead-ins, as part of NBC's broadcasting strategy.
NBC approached the AI project carefully with the approval and cooperation of Jim Fagan's family to honor his legacy and contribution to NBA broadcasting.
This move follows NBC's prior use of AI for recreating Al Michaels' voice at the Paris Olympics, as part of a trend in sports broadcasting to blend futuristic tools with nostalgia.

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Tech Radar

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I asked the Google Pixel 9a to make an image of a successful person and the results were depressingly predictable

The Google Pixel 9a has an AI-powered image generator called Pixel Studio that reinforces harmful stereotypes regarding successful people.
Pixel Studio's images predominantly depict young, white, able-bodied men as successful, perpetuating biases and limiting diversity.
The tool lacks representation of older individuals, those with disabilities, and non-white or transgender individuals in its concept of success.
The biases in Pixel Studio's images are rooted in the training data extracted largely from the internet, reflecting societal prejudices.
The reinforcement of stereotypes by AI tools like Pixel Studio contributes to discrimination, hiring biases, and unequal opportunities.
Stereotyping through AI images can lead to real-world harm, including health issues and systemic inequalities.
The failure of AI tools to address these biases points to a lack of genuine intelligence in artificial intelligence systems.
The article urges for action to address the perpetuation of stereotypes in AI-generated images and highlights the importance of diversity and inclusivity.
Google has not responded to concerns raised regarding the negative stereotypes reinforced by Pixel Studio, prompting calls for reevaluation or removal of such features.
The article critiques the reliance on AI to create biased images of success and advocates for a more thoughtful and inclusive approach in AI development.
Ultimately, the call is made to prioritize ethical considerations and social impact in AI technology to prevent further harm and perpetuation of stereotypes.

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