1. Learn asynchronous programming
The best way to tackle this is to always use asynchronous APIs in your code. However, you should always keep in mind that understanding the intricacies of async programming is often challenging for the novices.
2. Define variables locally
Whenever you call a certain function, the variables that are used to define that function are stored inside. Variables can be categorized into two types.
- Local variable: – Variables that are defined only within themselves.
- Global variable: – Variables that are used throughout the script.
At the time when you’re calling a function, the browser does an activity which is termed as scope lookup. With the increase in the number of scopes in the scope chain, there’s also an increase in the amount of time taken to access variables that are outside the current scope.
That’s the reason why an engine takes longer time to access a global variable as compared to that of a local variable. This means that if you define most of variables locally then there will be a rapid decrease in the time required by the engine to search them. Hence, it will boost the overall speed of the application.
3. Keep codes light and small
To maintain the high performance of mobile applications, it’s essential that you keep the code as light and compact as possible. Keeping codes light and small would reduce the latency and boost up the speed.
While you’re in a development stage, you must ask yourself these questions below.
Do I really need this module?
Can I do this in a simpler manner?
Why am I using this framework?
Is this worth the overhead?
4. Event Delegation implementation
Event Delegation makes it easier to use a single event handler which eventually helps in efficient management of a type of event for the entire page. In the absence of Event Delegation, large web applications can stop due to the presence of several event handlers. Event Delegation comes with many perks such as: less functionality to manage, less memory required to process, and fewer ties between DOM and code.
5. Avoid unwanted loops
6. Gzip compression
7. Minimize DOM access
8. Boost performance by caching object
9. Specify the execution context
11. Refrain from using too much memory
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It’s obvious that users want the page to load quickly. However, it’s not necessary that all the functions are available at the initial load of a page. In case, a user performs various functions such as clicking and changing tabs, then it becomes possible for you to defer loading for that function till the initial page completes loading.
13. Eliminate memory leaks
In case of a memory leak, the loaded page will use up more and more memory and eventually occupy all the available memory in the device. This would impact the overall performance adversely. You might be familiar with this type of failure that occurs on a page with an image slide.
There are tools that analyse if your website is leaking memory. Chrome Dev Tools is one of such tools which records the timeline in the performance tab. Usually, the pieces of the removed DOM from the page are responsible for memory leaks because they have some variable which is responsible for reference which causes prevents the garbage collector from eliminating them.
14. Use tools that detect problems
In the Chrome’s main menu, there’s an option of ‘More Tools’ which shows you the memory and the CPU usage by each tab. To carry out even more detailed analysis use Performance view in either Chrome or Firefox. With this you can analyse various metrics, for example:
Devtools’ performance analysis enables you to simulate network, CPU consumption, and other metrics at a time when the page is loading. Due to this, you can identify and fix problems seamlessly.
To dive deeper, you must go with Navigation Timing API, which enables you to determine and measure which part of your code takes from the programming itself.
NodeSource platform is apt for exploring performance at a granular level for all the applications built on Node.js.
Moreover, comprehensive Node.js metrics also helps you to identify the source of memory leaks and other performance related issues.
15. Implement the various optimizations
To solve all the tasks with optimal data structures, you must always use the algorithms that has the least computational complexity.
- Get the same results with fewer calculations by rewriting algorithms.
- Avert recursive calls
- Put in calculations, calls, and variables for all the repeated functions
- Simplify mathematical formulas
- Use search arrays to get a value which is based on another rather than that of case statement or a switch.
- Take advantage of speculative execution of processor by creating conditions that are likely to be true.