Preparing for the System Design Interviews -Free with Coupon

This lesson gives an introduction to the concept of load balancing.

This lesson shows the various layers where a load balancer can be used in a scalable system

This lesson would cover the various types of load balancers that can be used in production ready systems.

This lesson covers the type of loads a load balancer can handle and the different kind of load balancing techniques that can be used to scale your system.

This lesson gives an introduction to caching, what it is and why we use it.

This lesson covers the concept of caching and give an example of its usage.

This lesson covers the different types of caches that we can use for our applications.

This lesson gives an intro on the different ways data can be updated in the caches.

This lesson gives the different ways data can be evicted from the caches.

Twitter Timeline and Facebook Feed are common scenarios where user feeds are prebuilt and stored on distributed caches. In this sample application we will build a sample feed using real cache server.

Can we build a sample application for doctors where they login and can see all the patients they are responsible for in a feed that is built for them and served on the UI very fast.

This lesson covers the architecture of the sample application and use diagrams to depicts it class structure.

This lesson gives the demo of the sample application as well as gives access to downloadable code for the sample application.

This gives an introduction to the concept of CDNs

This lecture covers the concept of cdn.

This lesson cover a case study on creation of an ecommerce web store in depth. It gives the high level design, low level api design, database design and other details.

NOTE : There is separate case study coming up for building an ecommerce web store using Microservices (includes mongodb, cassandra design as well)

This videos covers building a local cache instance in depth.

This is a popular interview question. Designing and Coding it in an efficient way end to end is crucial in clearing the interviews. In most system design interviews you are expected to code on a whiteboard or in some software application. Coding in an efficient correct way is crucial to clearing these interviews.

Note: We are providing two ways of building the local cache. One a regular version and another an efficient version.

The code is available in the resources section.

This lesson gives a description of what an LRU cache is. It also gives an example of a case where this cache might not be useful at all.

This lesson covers the concept behind building a simple LRU cache.It walks through a simple diagram whereby an example is used to depict the formulation and concepts behind a LRU cache.

This lesson covers the actual code behind a simple LRU cache. The code demoed in the case study is entirely written in java but can easily be ported to any other language like python, C# etc.

This lesson covers the actual code behind a simple LRU cache. The code demoed in the case study is entirely written in java but can easily be ported to any other language like python, C# etc.

This lesson gives another implementation of an LRU Cache which is more efficient then the one described earlier.

This lesson contains the implementation of an efficient LRU Cache using Java.

In this lesson we will cover the various details on the design of a distributed cache.

In this lesson we will cover the various details on the design of a distributed cache.

In this lesson we will cover the various details on the design of a distributed cache.

In this lesson we will cover what is the question that is asked , or what exactly is the problem asked for.

In this lesson we will dig deeper into the problem by asking the right set of questions. We will try to understand what is expected from the system. What all are the complex points about this system.

This lesson gives the functional requirements of the system.

This chapter covers the non functional requirements of the system

This lesson covers the simplest possible case where the application is running on just one box and the entire system is built out of that box.

This lesson covers the simpler approaches in detail and explains how these simple approaches can be used to generate unique numbers.

This lesson gives the problems that are found while using the simple approach.

This lesson would give a small introduction on the 3 approaches that are suggested for handling this problem

This lesson gives a small description on this simple approach of generating a unique id by a global server.

Approach 1 continued...

This approach discusses the ticketing server approach that is very popular and is used in production systems as well.

Approach 2 continued...

In this lesson the twitter snowflake approach is covered along with the sample code for the same. If you are giving an example of this approach in your system design interview you would be expected to write the code for the same in your favorite language on the whiteboard.

This lesson gives the introduction to the problem we are working on as part of this case study.

This lesson would depict the details about understanding this problem of recommending items to users.

This lesson explains why relational db's are not suited for using to solve these kind of problems

This lesson will cover the requirements for the system we are designing as part of this case study.

This lesson briefly covers the high level design of this system.

This lesson covers the design of the data ingestion layer.

This lesson starts with the approach on analytics engine and gives a walk through of the first approach of using the Apriori Algorithm

Explanation of Apriori Algorithm or the market basket analysis approach

This lesson covers the code on the Apriori Algorithm using Apache Spark

This lesson covers the disadvantages of this approach.

An important point for this case study.

This lesson covers the approach for content based recommendation.

This lesson covers the code of implementing a content based recommendation system.

This lesson gives an introduction to collaborative filtering.

This lesson covers the collaborative filtering approach in short.