System Design — Rate limiter and Data modelling | by Sai Sandeep Mopuri | Medium
More often than not, the design interview rounds start with basic questions such as “design a rate limiter” or “design a circuit breaker” and can go to much more depth based on your experience. The…
How We Built Prefixy: A Scalable Prefix Search Service for Powering Autocomplete | by Prefixy Team | Medium
If you’ve ever googled something, you probably take it for granted that suggestions appear based on what you’ve typed so far. Yet, these suggestions are an essential part of the googling experience…
This is a wonderfully informative Amazon update based on Joachim Rohde's discovery of an interview with Amazon's CTO. You'll learn about how Amazon organizes their teams around services, the CAP theorem of building scalable systems, how they deploy software, and a lot more. Many new additions from the ACM Queue article have also been included.
Amazon grew from a tiny online bookstore to one of the largest stores on earth. They did it while pioneering new and interesting ways to rate, review, an
A 360 Degree View of the Entire Netflix Stack - High Scalability -
This is a guest repost by Chris Ueland, creator of Scale Scale, with a creative high level view of the Netflix stack.
As we research and dig deeper into scaling, we keep running into Netflix. They are very public with their stories. This post is a round up that we put together with Bryan’s help. We collected info from all over the internet. If you’d like to reach out with more info, we’ll append this post. Otherwise, please enjoy!
–Chris / ScaleScale / MaxCDN
A look at what we think is i
Update 3: 7 Years Of YouTube Scalability Lessons In 30 Minutes and YouTube Strategy: Adding Jitter Isn't A Bug
Update 2: YouTube Reaches One Billion Views Per Day. That’s at least 11,574 views per second, 694,444 views per minute, and 41,666,667 views per hour.
Update: YouTube: The Platform. YouTube adds a new rich set of APIs in order to become your video platform leader--all for free. Upload, edit, watch, search, and comment on video from your own site without visiting YouTube. Compose yo
How Uber Scales Their Real-time Market Platform - High Scalability -
Reportedly Uber has grown an astonishing 38 times bigger in just four years. Now, for what I think is the first time, Matt Ranney, Chief Systems Architect at Uber, in a very interesting and detailed talk--Scaling Uber's Real-time Market Platform---tells us a lot about how Uber’s software works.
If you are interested in Surge pricing, that’s not covered in the talk. We do learn about Uber’s dispatch system, how they implement geospatial indexing, how they scale their system, how they implement h
Pinterest Architecture Update - 18 Million Visitors, 10x Growth,12 Employees, 410 TB of Data - High Scalability -
There has been an update on Pinterest: Pinterest growth driven by Amazon cloud scalability since our last post: A Short on the Pinterest Stack for Handling 3+ Million Users.
With Pinterest we see a story very similar to that of Instagram. Huge growth, lots of users, lots of data, with remarkably few employees, all on the cloud.
While it's true that both Pinterest and Instagram are not making great advances in science and technology, that is more indicator of the easy power of today's commodity
The WhatsApp Architecture Facebook Bought For $19 Billion - High Scalability -
Rick Reed in an upcoming talk in March titled That's 'Billion' with a 'B': Scaling to the next level at WhatsApp reveals some eye popping WhatsApp stats:
What has hundreds of nodes, thousands of cores, hundreds of terabytes of RAM, and hopes to serve the billions of smartphones that will soon be a reality around the globe? The Erlang/FreeBSD-based server infrastructure at WhatsApp. We've faced many challenges in meeting the ever-growing demand for our messaging services, but as we continue to p
Add to your system design knowledge toolkit! These are concepts, which every engineer must know, if they want to scale from zero to millions of users or ace their interviews!
Build for the Web, Build on the Web, Build With the Web
Every layer of abstraction made in the browser moves you further from the platform, ties you further into framework lock-in, and moves you further away from fast.
By using progressive enhancement, you can opt into browser-native features that are usually faster, more accessible, more secure, and—perhaps most importantly to the business—maintained by someone else.
The beauty of opting into web platform features as they become available is that your site becomes contextual. The same codebase adapts into its environment, playing to its strengths, rather than trying to build and ship your own environment from the ground up. Meet your users where they are.
