Engineering Problem 1: Renting a Computer

On Demand Computing Solved

Concepts appear as they come up…

So we've identified our first engineering

00:00/01:23

1 / 1

On Demand Computing Solved

Certisured is an Edtech based out of Bangalore and is Co-founding team of Wizori - built to provide quick fundamental clarity in form of short vibes.

www.certisured.com

On Demand Computing Solved

Loading comments…

Continue your learning — your way

Sign in to unlock the full playlist, save your progress, and get a personalized feed.

Up next

Problem 6: Do We Really Need a Server?
1:29
Problem 8: Must We Ask the Database Every Time?
1:38
Problem 4: Who Should Handle the Next User?
1:32
Problem 5: what if demand for machines increases?
1:26
Problem 22: How Do We Analyze Massive Data?
1:39
Problem 7: Are Files Enough for Business?
1:45
Problem 21: Where Should We Keep Our Secrets?
1:44
Every Cloud Service Begins With a Problem
1:16
Problem 20: How Do Services Complete One Workflow?
1:38
Problem 3: Shared Object Storage
1:32
Problem 2 : Computer is temporary but, Data is permanent
1:20
Problem 23: How Do We Query Massive Data?
1:33

Engineering Problem 1: Renting a Computer — full transcript

On Demand Computing Solved

On Demand Computing Solved

So we've identified our first engineering problem. Buying physical servers is expensive, slow, and unpredictable. Sometimes you buy too little and your application crashes under heavy traffic. Other times you buy too much, and expensive machines sit almost idle for months. Now imagine a different world. Instead of purchasing a server, what if you could simply rent one whenever you needed it? Open a browser, choose how much CPU and memory you want, click a button, and within minutes, your computer is ready. That single idea transformed the industry. Amazon Web Services calls this service Elastic Compute Cloud, or EC2. The word Elastic means your computing resources can grow or shrink as your needs change. Microsoft Azure calls the same solution Azure Virtual Machines, while Google Cloud calls it Compute Engine. Different names. Same engineering solution. Today, launching a server takes minutes instead of weeks, allowing startups and enterprises alike to scale without investing in expensive hardware. But solving one problem immediately exposed another. If this rented computer is temporary... where should all its data be stored? That's the next engineering problem we'll solve.