Table of Contents
- 1 How do you write a scalable code?
- 2 How do you make a program more scalable?
- 3 What’s the best way of creating a maintainable code base?
- 4 How do you make a scalable code in JavaScript?
- 5 How do you increase the scalability of a Web application?
- 6 What does it mean to write scalable code?
- 7 Should scalable code be easy to debug?
How do you write a scalable code?
Server Level Scalability: share the load between servers to best serve those requests. Vertical Scalability: Vertical means take a machine and keep increasing the size(RAM, processing power, hard disk) of it to handle more load/data. This has it’s own disadvantage as there is a limit of how heavy server you can get.
How do you make a program more scalable?
Scalable software with efficient code
- Choosing the apt algorithm.
- Better memory management.
- Choosing performant libraries.
- Use queues and consumer for software scalability.
- Use async code where applicable.
- Don’t use the local file system.
- Replace server-side sessions with something client-side.
- Vertical Scaling (Scale-Up)
What is scalable programming?
Scalability is the ability of a program to scale. For example, if you can do something on a small database (say less than 1000 records), a program that is highly scalable would work well on a small set as well as working well on a large set (say millions, or billions of records).
What are the key considerations when writing highly scalable highly concurrent software components?
Requirements of Scalable Applications
- Performance: First and foremost, the system must operate well under stress with low latency.
- Availability and Reliability: These are closely related and equally necessary.
- Cost: Highly scalable apps don’t have to be unreasonably expensive to build, maintain, or scale.
What’s the best way of creating a maintainable code base?
13 Ways to Improve Maintainability
- Follow a clean and consistent coding standard.
- Use human readable and sensible names.
- Be clear and concise.
- Minimize complex conditional and nested logic.
- Methods should be small and singularly focused.
- Classes should be focused.
- Decouple and organize.
- Minimize redundancy.
How do you make a scalable code in JavaScript?
- 9 Tips for Writing Scalable JavaScript Code. You should be ready to scale your projects from the beginning.
- Use Design Patterns.
- Separate Your Code.
- Build Modules.
- Keep Your Files Small Even Tiny.
- Prefer Promise & Async/Await Over Callbacks.
- Destructuring.
- Initiate Default Values.
What is a scalable solution?
Scalable solutions is concept prompt for you to always be making choices in your business that will scale, that is, choices that will still work when you have a magnitude more volume through that system. For example, imagine you were building a web platform to process orders from your field sales force.
How do you create a scalable solution?
How to Design Scalable Architecture
- Don’t use vertical scaling.
- Do favor horizontal scaling.
- Don’t default to physical servers.
- Do take advantage of cloud storage.
- Don’t create unnecessary bottlenecks.
- Do consider a microservice architecture.
How do you increase the scalability of a Web application?
The best solution to most database scalability issues is optimizing SQL queries and implementing indexing strategies. By building articles and authors into a single query, you can dramatically reduce the volume of queries you’re running.
What does it mean to write scalable code?
Scalable code essentially means you solve problems such that your code is able to produce the desired output if the problem scales to a problem of millions or billions. The skills you would need to write such code would be an understanding of Computer science fundamentals such as data structures and algorithms (y…
How to maintain scalability in your Python code?
How to Maintain Scalability in Your Python Code 1 Learn to Cleverly Use ‘Collections’. Python support rich and powerful data structures/containers for ‘collections’ such as dict, list, set, and tuple. 2 Intelligent Iterating of Python Codes. 3 Using ‘Generators’ For Scalability in Python Code. 4 Final Words.
Why is scalable architecture important when building an app?
Scalable architecture is arguably the most important consideration when building an app because it is essentially an insurance policy for your code. Imagine a world where the engineer who has been around since day one has all of the knowledge about the codebase in their head with no documentation in sight. Not that far-fetched, right?
Should scalable code be easy to debug?
Scalable code should be easy to debug because if you have thorough tests, the likelihood of bugs being introduced is very slim. If bugs do surface, tests you’ve written will likely fail. This can help you isolate the exact part of the code that is causing the issue in a matter of seconds and before the bug impacts end users.