The Walt Disney Company UK & Ireland’s Post

Weekend reading list to get you up to speed on latest tech articles: 5) How Disney+ Scaled to 11 Million Users on Launch Day: https://lnkd.in/eBnkwfY2 Author: Neo Kim 4) Retrospective Meetings Demystified: https://lnkd.in/eit7nD9d Author: Nicola Ballotta 3) Coding Challenge - xxd: https://lnkd.in/evPnmxFR Author: John Crickett 2) How to be a multiplier as a leader: https://lnkd.in/etN3hgas Author: Dr Milan Milanović 1) DoorDash's Game-Changing Strategy - 70% Hit Ratio in Cache Optimization: https://lnkd.in/ek276GC7 Author: Alex Nguyen and Akagra 0) Also if you're interested in more to read, Alexandre Zajac sends a curated list of articles each week: https://lnkd.in/eTdRAQAN PS - Join 52,001+ like-minded software engineers learning system design every week: https://lnkd.in/ed4URjuY --- If you liked this post. 🔔 Follow: Neo Kim ♻ Repost to help others find it. 💾 Save it for future reference. #programming #coding #systemdesign #softwaredevelopment

🌟 Excited to share that I have successfully completed GUVI's "Become a Full-stack Developer: Unveiling the Giant Netflix Application" 🌟 🚀 This experience was a fantastic deep dive into full-stack development, where I gained practical knowledge of building scalable applications like Netflix from scratch! It sharpened my skills in front-end, back-end, and overall application architecture. #FullStackDevelopment #NetflixClone #GUVI #LearningNeverStops #WebDevelopment #SoftwareEngineering

🚀 Achievement Unlocked: Solved Maximal Square on LeetCode! 🚀 I’m thrilled to share that I’ve successfully solved the Maximal Square problem on LeetCode! This challenge involved finding the largest square containing only 1’s in a 2D binary matrix and returning its area. 🔍 Key Learnings: Dynamic Programming: Leveraged a dynamic programming approach to efficiently solve the problem. Optimization: Improved my understanding of space and time complexity optimization. Problem-Solving Skills: Enhanced my ability to break down complex problems into manageable steps. 💡 Solution Highlights: Utilized a 2D DP array to store the size of the largest square ending at each cell. Iterated through the matrix to update the DP array based on the minimum value of adjacent cells. Achieved an optimal solution with a time complexity of O(mn) and space complexity of O(mn). I’m excited to continue my journey in mastering algorithmic challenges and applying these skills to real-world problems. Onward and upward! 🚀#day88

"Today marks a milestone: I wrote my first 'Hello World' program! 🖥️👋; It may seem simple, but this tiny piece of code represents the start of an exciting journey into the world of programming. I'm amazed at how a few lines can bring ideas to life on screen. Looking forward to building on this foundation and tackling more complex challenges. Here's to the bugs I'll encounter, the solutions I'll discover, and the developer I'll become! uffff this ("ops!");

✨ 6 years at the BBC ✨ Super proud of everything I've achieved at the BBC over the last 6 (!!) years, including: - For the last three years I've been the lead iOS developer on the BBC's iOS Weather app meaning I've solely managed the tech stack for an iOS app with over four million weekly active users. - Incrementally rearchitecting said weather app: moving a majority Object C codebase to 100% Swift and SwiftUI in less than a year, while keeping the app shippable at every stage of the process and delivering feature work throughout. The new architecture has a focus on testability, maintainability and separation of concerns, and the app has already seen an increase in positive reviews and performance gains. It's not perfect, we've still got tech debt, but that's agile. - Releasing features such as the daily forecast notification, which a fifth of our user base have opted into, and several A/B experiments using Optimizely 💪🏻 - Being the first mobile team to use AI in production at the BBC, shipping our audio forecast which enables visually impaired users to have better access to the app. - Taking part in a short journalism program which meant I have an actual bi-line on the BBC website, and then being featured in the BBC's Annual Report to HMRC for 2020/21. - Being a part of the press team during the 2024 UK general election, at the count live throughout the night. - Being a speaker at iOS Dev UK, presenting on the early pitfalls of adopting SwiftUI for iOS 13, and then presenting at the BBC internal conference earlier this year about how to ship an entire 2013 codebase re-architecture in an 'agile' way. (shaky video from iOS Dev attached!) It's not all been plain sailing, given I've been called out to deal with live incidents at all hours, but I've definitely had an exciting start to my career in software development.

Did You Know? 80% of the Netflix content we watch is suggested to us by big data. Netflix uses your watching history to determine what shows you'll like. Additionally, you can empower your company using Big Data. . . . #teamseven #teamsevensolutions #technology #tss #software #development #softwarehouse #softwarecompany #softwaredevelopment #tech #business #businesstips #informationtechnology #it #itservices #itcompany #programming #web #developer #webdevelopment #digitalmarketing   #didyouknow #netflix #fact #bigdata 

I spent 3+ hours studying how Disney+ Hotstar scaled to 25 million concurrent users, so you don't have to. Here's a summary of what I learned: - They pre-warmed the infrastructure ahead of major events by estimating peak traffic - They added jitter and caching to prevent the thundering herd problem - They focused on the high availability of important components - They used a multi-level cache to scale reads - They rate limited the traffic to prevent server overload - They installed panic mode on the server to avoid server overload - They ran tests to find bottlenecks - They used baked container images for faster provisioning - They used different instance types to get extra servers from AWS - They kept an open communication channel to align on important metrics Also I wrote a detailed post with visuals of this case study in my newsletter. Read now with other 45,001+ like-minded software engineers: https://lnkd.in/gd63MjHV -- If you liked this post. 🔔 Follow: Neo Kim ♻ Repost to help others find it. 💾 Save this post for future reference. #coding #programming #softwaredevelopment #systemdesign

Pre-warming makes so much sense at a scale like Hotstar's. 1. Keeps enough instances available to handle the expected traffic. A cloud provider's datacenter isn't an infinite resource(though most people consider it so). 2. Avoid shenanigans with the auto-scaler algorithms. Yes. It can be developed and tested to handle the scale but it's extremely expensive to create load big enough and also to run enough production instances. 3. The demand is relatively stable through the duration of the event (A sporting event). I still want to understand what they do during the breaks in the game. I'd like to think they just have them running but the demand drop is big enough that they might see savings from releasing instances. If anyone knows about it, I'd love to hear your thoughts. Disney+ Hotstar #scaling #cloudcomputing #hyperscale

"Thrilled to share my recent experience attending an eye-opening problem-solving session led by Kumar K sir at Uber! 🚀 We delved into the fascinating world of dynamic programming, exploring its applications and dissecting problems with precision. One key takeaway? The strategic use of data structures, like memoization arrays and matrices, played a pivotal role in optimizing solutions. Kumar's sir expertise illuminated the power of combining dynamic programming principles with the right data structures for efficient problem-solving. Grateful for the insights gained! #Uber #DynamicProgramming #ProblemSolving #DataStructures"

🚀 New Blog Post Alert: How Uber Powers Geofencing with Golang! 🚀 Ever wondered how Uber manages to efficiently handle millions of location-based transactions every day? My latest blog dives deep into Uber's use of Golang to power their geofencing technology, a key component behind their dynamic pricing and real-time ride availability. In the post, I explore the crucial role that Golang plays in enhancing operational efficiency and scalability at Uber. From concurrency handling to high-query performance, discover how Golang enables Uber to deliver seamless user experiences across the globe. Whether you're a software developer, a technology enthusiast, or just curious about how major tech companies leverage modern programming languages, this post has something for you. Feel free to share your thoughts and experiences with Golang, or discuss how modern programming languages are transforming the tech landscape in the comments below! Read the article below 👇 #Golang #Uber #Technology #SoftwareDevelopment #Programming #Geofencing