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AWS Fundamentals: Bcm Pricing Calculator

The article explores the BCM Pricing Calculator offered by AWS, emphasizing its importance in estimating and managing costs effectively for organizations leveraging cloud services.
The BCM Pricing Calculator is a user-friendly tool that allows for customization of configurations, supports various AWS services, and provides cost optimization suggestions.
Key benefits of using the BCM Pricing Calculator include budget predictability, resource optimization, and informed decision-making for AWS users.
The article presents practical use cases of the BCM Pricing Calculator, ranging from startups and small businesses to compliance and reporting needs.
An architecture overview and step-by-step guide for creating a configuration in the BCM Pricing Calculator are provided, along with pricing considerations and security measures.
Integration examples with other AWS services, comparisons with similar tools, common mistakes to avoid, pros and cons, and best practices for production use are discussed in detail.
The article concludes with emphasizing the value of the BCM Pricing Calculator in optimizing AWS infrastructure and making informed decisions to drive business growth.

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Azure DevOps Implementation Patterns That Actually Work

Azure DevOps implementation patterns that actually work are based on experiences from delivering Azure certification courses.
Key points include building a strong foundation, focusing on Infrastructure as Code, efficient CI/CD processes, effective monitoring, robust security practices, and fostering real team collaboration.
Success factors in Azure DevOps involve smart pipeline design, environment standardization, meaningful quality gates, and effective artifact management.
Adopting Infrastructure as Code, emphasizing version-controlled infrastructure, reusable templates, consistent environments, and change tracking are crucial.
CI/CD success revolves around strategically automating critical paths, integrating tests smartly, implementing quality checks, and managing dependencies.
Monitoring effectiveness can be achieved through observable systems, Application Insights integration, Log Analytics, Azure Monitor configuration, and actionable alerts.
Security in Azure DevOps can be simplified with Azure Policy enforcement, Key Vault integration, identity management, and compliance automation.
Real team collaboration is essential, including cross-team planning, shared responsibility models, effective knowledge sharing, and functional incident response.
Future trends in Azure DevOps include growing AI integration, smarter automation, expanding platform engineering, and the standardization of cloud-native approaches.
Interested individuals can explore certification courses like Azure Administrator (AZ-104) and Azure Solutions Architect (AZ-305) to master Azure DevOps.
Readers are encouraged to share their Azure DevOps stories and discuss successful patterns and lessons learned.
Overall, the article emphasizes practical strategies and proven methods for achieving success in Azure DevOps.
Web story eligibility: true

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Don't expect any good Prime Day Nintendo Switch 2 deals – here are the 3 handheld gaming PCs I recommend instead, and the deals to look for

The Nintendo Switch 2 has sold over 3.5 million units worldwide but has drawbacks like high game prices, lack of freedom, and competition from other handheld gaming PCs.
Amazon's Prime Day won't likely feature major Switch 2 price drops, leading to recommendations for alternative handheld gaming PCs.
Recommended handheld gaming PCs include the Asus ROG Ally with superior performance, VRR, and a wider game library compared to the Switch 2.
The Lenovo Legion Go offers great gaming performance with a detachable controller, but its higher resolution may affect performance in some games.
The MSI Claw 8 AI+ is a high-end option with Intel's Core Ultra 7 258V processor, providing long battery life and better performance than the Switch 2.
The Asus ROG Ally, Lenovo Legion Go, and MSI Claw 8 AI+ are potential alternatives to the Nintendo Switch 2, each offering unique features and price points.
Prime Day deals may bring down prices for these handheld gaming PCs, making them more competitive with the Switch 2.
The Lenovo Legion Go S and the MSI Claw 8 AI+ also offer different variants and price points, catering to varying preferences and budgets.
Overall, the handheld gaming PC market presents viable options for gamers looking for performance, features, and competitive pricing.
Limited discounts on high-end models like the MSI Claw 8 AI+ may deter some buyers, but the overall value and performance justify the cost.

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Dev

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Optimal VPC Subnetting: High Availability, Security, & Seamless On-Prem Connectivity

Most cloud networks in enterprises require efficient IP allocation and management for high availability, security, and on-premise connectivity.
Subnet segmentation within a VPC is essential for balancing security, scalability, and operational efficiency.
Considerations for VPC subnet segmentation include security requirements, high availability design, IP address management, scalability, and management complexity.
Advantages of subnet segmentation include granular security controls, resource isolation, robust defense, least privilege access, and simplified auditing.
Efficient routable CIDR usage is promoted through segmentation to reduce reliance on limited IPAM routable addresses.
Primary and secondary CIDR ranges play roles in optimal VPC design by accommodating workloads and providing additional IP space respectively.
Challenges of VPC subnet segmentation include careful planning, reconfiguration difficulties, IP address limitations, and route table management overhead.
Mitigation strategies involve planning for growth, using IP address management solutions, documenting CIDR allocations, and evaluating operational overhead.
Clear subnet segmentation enhances security and operational benefits, offering a maintainable and scalable foundation for different resource types.

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Azure Fundamentals: Microsoft.AppConfiguration

Microsoft.AppConfiguration is a fully managed service in Azure for centralized application configuration and feature management.
It helps developers handle dynamic configurations and feature flags in real-time to prevent downtime and reduce deployment-related outages.
Companies like Walgreens and BMW have benefited from Azure AppConfiguration by cutting feature rollout time and enabling secure configuration sharing.
AppConfiguration acts as a cloud-based control panel for applications, allowing centralized storage of settings in Azure for easy access by authorized apps.
It solves core problems like the need for redeployment for config changes, secure management of secrets, and ensuring consistent settings across regions.
Starbucks is an example of a company leveraging AppConfiguration for managing seasonal menu items and conducting A/B tests efficiently.
Developers can benefit from feature flags for canary releases, while DevOps teams can use it for managing environment variables efficiently.
Key features include feature flags for toggling functionalities in real-time, key-value storage for any configuration, and point-in-time snapshots for easy rollbacks.
Practical use cases include multi-region deployment rollouts, and the service integrates well with ASP.NET Core Apps, Azure Key Vault, Event Grid, and Azure Functions.
The service helps eliminate configuration sprawl, aids in zero-downtime feature rollouts, and saves time in typical DevOps workflows.

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Azure Fundamentals: Microsoft.AnalysisServices

Microsoft.AnalysisServices is Azure’s managed analytical engine for high-performance BI and data modeling in the cloud, supporting real-time insights and interactive dashboards.
Businesses shifting to cloud-native analytics benefit from elastic scalability, hybrid cloud compatibility, and AI-driven insights.
Key users include Data Engineers, BI Developers, Business Analysts, and DevOps Teams.
Microsoft.AnalysisServices offers in-memory processing, DAX for complex calculations, and serverless scaling to address slow queries and high infrastructure costs.
Real-world examples include Netflix for viewer engagement analysis and Walgreens for inventory forecasting.
Industry-specific motivations range from healthcare (patient analysis) to finance (fraud detection) and retail (dynamic pricing).
Features like in-memory storage and DAX language boost query speed and data analysis capabilities.
Practical use cases cover real-time inventory dashboards and detailed architecture for seamless integration.
Hands-on tutorials, pricing details, security measures, and comparisons with alternatives provide comprehensive insights.
Best practices include automating refreshes, monitoring performance, and ensuring data security and compliance.
Overall, Microsoft.AnalysisServices offers an advanced analytics solution with pros like fast queries and Power BI integration, balanced with cons such as scalability costs and DAX learning curves.

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‘My kids will never be smarter than AI’: Sam Altman’s advice on how to use ChatGPT as a parent leaves me shaking my head

Sam Altman appears on the first episode of OpenAI’s podcast, discussing AI topics and AI-powered parenting.
Altman expresses concern about AI-shaped kids' communication skills and capabilities.
He mentions potential issues with AI-reared kids developing parasocial relationships.
Altman acknowledges the possibility of downsides but believes society can address them.
He shifts the responsibility of mitigating AI downsides onto society.
Altman's laissez-faire attitude towards kids using ChatGPT raises concerns about unsupervised AI interactions.
ChatGPT's guidelines state it's not intended for children under 13, prompting safety considerations.
The article questions the wisdom of allowing unsupervised access to AI like ChatGPT for young children.
Author suggests caution in letting kids interact with AI independently, citing potential issues.
It is advised that parenting advice in the realm of AI should be left to the experts.

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Siliconangle

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Nutanix and Pure Storage partner to simplify high-performance infrastructure

Nutanix and Pure Storage have partnered to offer integrated infrastructure for high-performance environments suited for artificial intelligence workloads.
The partnership aims to provide customers with agile and cyber-resilient solutions managed through the Nutanix platform.
The joint solution promises sub-millisecond latency and high uptime on Pure Storage's NVMe platform.
The collaboration focuses on co-engineering and flexibility, offering scalability and management through Prism and Nutanix.
Both companies aimed to meet modernized IT needs in a rapidly evolving virtualization market with simpler, full-stack solutions.
Customers seek ease-of-move, simplicity, flexibility, and agnosticism, which the joint solution provides.

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Silicon

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Texas Instruments Increases US Investment, Amid Trump Onshoring Drive

Texas Instruments (TI) has pledged to increase its US chip manufacturing with a $60 billion investment, aiming to create over 60,000 new jobs.
The company plans to build seven semiconductor fabs in Texas and Utah, expanding on previous plans under the Biden administration.
Texas Instruments received a $1.6 billion grant under the Chips and Science Act for new chip manufacturing plants, with uncertainty about the delivery of the award.
The Trump administration is reportedly renegotiating semiconductor grants previously authorized by President Biden.
Despite Trump's previous criticisms of Biden's US Chips Act, Texas Instruments announced its record investment in semiconductor manufacturing in the US.
The investment includes plans for four fabs in Sherman, Texas, with a total investment of up to $40 billion.
Texas Instruments aims to support American innovation and technology alongside companies like Apple, Ford, and SpaceX.
The company's CEO highlighted the importance of semiconductor manufacturing for various electronic systems, emphasizing their role in American innovation.
The US Secretary of Commerce praised the partnership with Texas Instruments, emphasizing the importance of increasing semiconductor manufacturing domestically.
Texas Instruments is a significant semiconductor manufacturer in the US, providing chips crucial for smartphones, vehicles, data centers, and various electronic devices.

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Nvidia could have a new take on its fastest GPU that will reportedly pack a 'surprise' – but I wouldn't get your hopes up

Nvidia rumored to be working on a new variant of its Blackwell flagship graphics card, possibly RTX 5090 DD model, with a 'surprise' according to a leaker.
Rumors suggest it could be a follow-up to RTX 5090 D designed exclusively for China, adapting to export regulations.
Speculations indicate changes like a lower-tier GPU chip and reduced memory of 24GB with a narrower 384-bit memory bus.
Despite some skepticism about the name RTX 5090 DD, the mention of a 'surprise' from Nvidia adds intrigue to the speculation.
Speculation arises about potential surprises including further cut-backs in AI powers or maybe even a price drop or higher clock speeds.
The rumored surprise element fuels excitement and curiosity about Nvidia's possible moves with the RTX 5090 DD model.
The article discusses the uncertainties and possibilities surrounding the rumored Nvidia RTX 5090 DD variant and the 'surprise' it may hold.
The potential changes to the graphics card's specs and the mystery surrounding Nvidia's surprise element add depth to the speculation.
The article touches upon the history of Nvidia's naming conventions and possible strategies for the upcoming RTX 5090 DD model.
Tom's Hardware theorizes on potential surprises, such as firmware changes to AI powers or a price drop for the RTX 5090 DD.
The speculation around Nvidia's surprise with the RTX 5090 DD model invites readers to engage in guessing games about the possible outcomes.

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NYT Strands hints and answers for Friday, June 20 (game #474)

NYT Strands puzzle hints and answers for game #474, released on June 20.
Today's theme: Just a dusting.
Hint #2: Play words like BABE, BOAT, MOAT, CHIN, CLING, SING for in-game hints.
Spangram for game #474 has 7 letters.
The spangram for game #474 touches the right of the 5th row and the left of the 5th row.
Answers for game #474 include: BABY, COCOA, BLASTING, BAKING, CHILI, TALCUM, ITCHING. Spangram answer: POWDERS.
Game rating: Easy, Score: Perfect.
Reflections on childhood memories of ITCHING powder and various POWDERS in the game.
The previous day's answers (game #473) were SCENERY, GAMES, PLAYLIST, MOTEL, PHOTOS, AUDIOBOOK. Spangram answer: ROAD TRIP.
NYT Strands is a word game from the New York Times, playable on their Games site.

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Quordle hints and answers for Friday, June 20 (game #1243)

Quordle, a popular Wordle alternative, offers a challenging word puzzle game with daily hints and answers.
The hints for Quordle game #1243 include information on vowels, repeated letters, uncommon letters, and starting letters.
Today's Quordle answers for game #1243 are BRAID, DULLY, HASTE, and LURID.
The Daily Sequence answers for Quordle game #1243 are THROW, SHAKY, OWING, and LOAMY.
Quordle hints and answers provide insights for players to solve the word puzzles effectively.
The Quordle past 20 answers are listed, showcasing the variety of words used in previous games.

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Analyticsindiamag

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Despite Skill Gap, 99% of Indian Cos to Hire for GenAI Roles in 2025

A study by Amazon Web Services (AWS) and Access Partnership shows that 83% of Indian organisations have appointed Chief AI Officers (CAIOs) to accelerate generative AI adoption.
64% of Indian companies prioritised generative AI in their 2025 budgets, leading to the appointments.
Organisations are shifting leadership towards dedicated AI executives due to the complexity and scale of generative AI integration.
Currently, 98% of organisations are using generative AI tools, with many moving towards production by 2025.
About 43% of organisations have fully integrated generative AI into their workflows.
Despite challenges like unclear skilling needs and budget constraints, 99% of organisations plan to hire for generative AI roles in 2025.
Organisations are adopting a hybrid approach to AI, with two-thirds planning to use custom applications and enhanced models with proprietary data.
AWS has launched a Generative AI Innovation Centre to support organisations in AI implementation and offers free courses through AWS Skill Builder.
CEOs, CTOs, and CIOs are making way for dedicated AI executives due to the increasing role of generative AI.
The study covered 415 senior IT decision-makers across sectors like financial services, ICT, manufacturing, and retail.
Organisations lack change management strategies but intend to address this with a projected reduction to 9% by the end of 2026.
The focus is on developing organisation-wide AI strategies and supporting employees through AI transitions.
Training plans to meet AI talent demands are hindered by challenges such as skilling needs and budget constraints.
42% of organisations plan to use out-of-the-box models with minimal customisation in their AI adoption.
Many organisations are experimenting with generative AI tools and expect about half to move to production by 2025.
The study reveals a growing recognition of AI's transformative potential and the need for strategic leadership for change management.
The Generative AI Adoption Index study highlights the momentum of organisations towards integrating generative AI into their operations.

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Dev

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GCP Fundamentals: API Discovery Service

API Discovery Service by Google Cloud is a tool that automatically catalogs and organizes APIs in a GCP environment, solving security, operational, and governance challenges.
Companies like Spotify and PayPal leverage GCP's API tools for compliance audits, detecting unauthorized deployments, and streamlining developer onboarding.
The service automatically detects APIs, catalogs metadata, and provides a centralized registry for governance, with components like Discovery API, Inventory Feed, and IAM Integration.
Evolution of API Discovery Service includes features like AI-powered anomaly detection added in 2023, making it a comprehensive solution.
Real-world examples demonstrate how API Discovery Service helps in discovering shadow APIs, managing microservice sprawl, and ensuring compliance, like in a Healthcare SaaS case study.
Key features and capabilities include automatic schema extraction, real-time monitoring, multi-cloud support, and much more, enabling efficient API management.
Use cases like securing serverless APIs in a media company showcase practical applications of API Discovery Service in different scenarios.
Integration points include IAM roles, VPC SC for ensuring compliance with perimeter controls, making it a versatile tool in cloud ecosystems.
API Discovery Service is recommended for enterprises managing numerous APIs, enabling governance, reducing risks, and lowering operational overhead.

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Dev

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Behind the Scenes of Netflix: Unpacking Its World-Class Infrastructure

Netflix's world-class infrastructure handles over 260 million subscribers and billions of hours of content monthly, relying on cloud-native architecture and a custom CDN for global delivery.
Evolution: Originating as a DVD rental service, Netflix transitioned to AWS in 2008 for scalability and resilience, moving to a microservices-based ecosystem.
Architecture: Netflix operates entirely on AWS, utilizing services like EC2, S3, RDS, DynamoDB, and CloudFront for deployment, storage, and content delivery.
Microservices: Netflix runs over a thousand microservices that communicate through REST, gRPC, and Kafka for scalability and decoupling.
Video Pipeline: Netflix's streaming pipeline encodes videos in various formats, optimizing content delivery through a custom CDN called Open Connect for low latency.
Personalization: Netflix leverages machine learning for personalized recommendations, conducting extensive A/B testing to enhance user experience.
Observability: Netflix ensures reliability through chaos engineering tools like Chaos Monkey, and monitoring systems like Atlas, Zipkin, and ELK Stack.
Global Availability: Netflix deploys across AWS regions, smartly routing requests to nearest servers for low latency and adaptive streaming.
Developer Tooling: Netflix empowers developers with Spinnaker and Titus for safe deployments, and follows strict security measures for data protection.
Conclusion: Netflix's infrastructure showcases cloud-native engineering excellence, providing insights for building scalable and intelligent systems.

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