System design questions are popular during a technical round of an interview at top tech companies and large-scale tech startups. These types of interviews are open-ended conversations where candidates are expected to take the lead and guide the discussion with the interviewer. In this blog, we will discuss critical steps that candidates can follow to solve system design questions during interviews.
Since system design questions are often open-ended and do not have a single correct answer, it is important to ask questions and clarify any ambiguities early in the interview process. Candidates who take time to understand the end goals of the system are more likely to be successful.
To gather requirements and understand the scope of the problem, it can be helpful to ask questions such as:
When designing a system, it is important to start by defining the system scale. This includes considering factors such as read-to-write ratio, number of concurrent requests, number of monthly users, number of daily active users, required storage capacity, bandwidth requirements, and any data limitations. Once these parameters have been discussed with the interviewer, you can start to think about the best way to design a system that will work well at scale.
To begin the design process, it can be helpful to outline a high-level design with all of the critical components and try to draw a diagram representing the system's core components. This will help you to identify all components that are needed to solve the problem from end to end.
By outlining the interaction of key components, you can better explain the overall structure of the system and how various components will work together to achieve desired results. This can help to ensure that your design is comprehensive and meets all requirements and constraints of the problem.
Before designing a hypothetical system, it is important to define how data will be processed. This includes identifying the inputs and outputs of the system, how they will be stored, and how data will flow through the system. Determining which database would be the best fit for the problem can also be helpful at this stage.
You can try to explore this blog: SQL vs NoSQL Comparison.
Once you have outlined the high-level structure of the system, it can be helpful to discuss the major components in more detail. At this stage, interviewer input can often help guide you to parts of the system that need more attention. It is important to present various approaches, benefits, and drawbacks of each option and justify why you have chosen a particular approach. For example, if you were asked to design Tiny-URL, then discuss these things:
Generating and storing a hash of the full URL
Translating a hashed URL to the full URL
To ensure that your system is able to meet the scale requirements of the problem, it is important to identify key concepts relevant to scalability. This can include considering approaches such as load balancing, horizontal scaling, caching, database sharding, replication, etc. to address scalability issues.
By considering these options and determining which are most appropriate for your system, you can ensure that your design is able to handle the expected workload and meet the needs of your users.
To ensure that your system is robust and able to handle unexpected challenges, it is important to discuss as many potential bottlenecks as possible and consider different approaches to mitigate them. Some questions to consider might include:
By considering such issues, you can ensure that your system is well-equipped to handle unexpected challenges and continue serving your users effectively.
If you have any queries or feedback, please write us at firstname.lastname@example.org. Enjoy learning, Enjoy system design!
Subscribe to get well designed content on data structure and algorithms, machine learning, system design, object orientd programming and math.
©2023 Code Algorithms Pvt. Ltd.
All rights reserved.