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Vinay C

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Top 5 Reasons why AI won’t replace Cloud Computing

Will AI Replace the Cloud? Answered by Vinay C Artificial Intelligence (AI) is rapidly transforming our world, raising major questions for individuals and businesses, like: Will AI replace the cloud? Should Cloud Engineers be worried? Should you switch your cloud career to AI? The short answer is NO. Let's learn the reasons below. 5 Key Reasons Why AI and Cloud Computing Will Grow Together 1. AI Leverages Cloud Infrastructure: One fundamental reason AI won't replace the cloud is its dependence on cloud infrastructure. AI relies on the humongous computational power and storage capabilities provided by the cloud. As AI adoption continues to rise, the importance of the cloud will only grow stronger and reach new heights. This indirectly means, a huge opportunity for Cloud Engineers and Cloud Architects. 2. AI Enhances Cloud Offerings: Rather than replacing cloud computing, AI will act as a catalyst for improvement. Cloud providers are already leveraging AI to introduce new cap

5 AWS Services Powering Netflix's Tech Stack

Imagine you had a tough day, came back home, freshened up, sat on your couch, and turned on your favorite Netflix show. Boom, in just a few seconds, you can play ANY movie in the vast collection of Netflix, which if you had to store on your hard drive, you would need 26,000 GB at least, and imagine millions of them trying to access all at the same time! Have you ever wondered how it all works? Well, it's all thanks to Amazon Web Services (AWS) - a set of powerful tools that help Netflix bring you the best in entertainment. 1. Amazon S3 for storing All those movies and TV shows need a place to be stored, right? That's where Amazon S3 comes in. It's like a giant hard disk, storing all the movies and TV shows that millions want to watch. When you click play, the movie streams right from AWS S3 to your TV or mobile! 2. DynamoDB for storing user and other text data DynamoDB is where all structured information is stored, information like, username, what users liked, shared, added

Mastering System Design Interviews with the RESHADED Approach

Photo by UX Store on Unsplash Introduction System design interviews are one the most important interview rounds for almost all engineering job interviews at software companies. System Design interviews can be a bit tricky because there is no one right answer! Even the interviewer knows that, in fact, they are not even looking for a perfect solution! Yes, you heard it right! All they are looking for is the approach you take and the factors you consider while designing the system. RESHADED - System Design Cheatsheet RESHADED is an easy mental framework that can help you navigate system design interviews effectively. RESHADED is an easy-to-remember acronym which you can remember and apply as you solve System Design Problems: R - Requirements: Define functional requirements: Focus on Core Features and Services needed. Identify non-functional requirements: Performance, scalability, reliability, security, and maintainability. Scope the problem: Establish boundaries and constraints. This

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