How would you estimate the capacity needed for a cloud service to handle peak traffic during a major event?

During my final year project, I worked on organizing a tech festival at my university. To estimate the capacity needed for our online registration platform, I analyzed past event attendance data, which showed that similar events attracted around 500 participants. I also considered the peak registration times, typically the first few hours after launching the registration link. By anticipating a 30% increase in attendance due to increased promotion, I estimated that we would need to handle around 650 simultaneous users. We decided to use scalable cloud hosting that could adjust to traffic spikes, ensuring that our website remained functional during peak hours. This experience taught me the importance of data-driven decision-making and the need for flexibility in capacity planning.

While volunteering for a charity event, I helped manage the website for ticket sales. To estimate traffic, I looked at ticket sales from previous years, where the website had around 200 users during peak times. Given that we were expanding our outreach and expected to double attendance due to social media promotion, I estimated that we needed to prepare for at least 400 concurrent users. We scheduled a meeting with our web hosting provider to discuss our needs and opted for a cloud service that offered an auto-scaling feature. This ensured that we could accommodate the influx of users without crashing the site. This experience reinforced my understanding of the importance of planning for peak usage and leveraging cloud resources effectively.

In my first job as a junior analyst, I was involved in planning the launch of a new feature for our app. I collaborated with the development team to analyze user engagement data, which indicated that our user base was growing steadily, with a typical peak of 1,000 users during high-traffic times. We anticipated a 20% increase in traffic due to the feature's popularity, so we estimated needing to support 1,200 users simultaneously. We worked with our cloud service provider to set up load balancing and auto-scaling capabilities to ensure we could handle the increase without downtime. This hands-on experience taught me the significance of thorough analysis and planning in cloud capacity management.