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7 Best Techniques to Boost AngularJS Applications Performance

2 minutes, 13 seconds read

AngularJS is a highly versatile framework and it can be used to build almost any type of web application. Some of the popular web AngularJS applications are — Netflix, LEGO, UpWork, YouTube for PS3, PayPal, Gmail, and The Guardian. Although, AngularJS is capable of handling high volumes of traffic, still, you can skyrocket applications performance by following these measures-

Infographic - Improve AngularJS Applications performance

1. Avoid using too much of watchers/data bindings

Any time we introduce more data-bindings, we create more $$watchers and $scopes. It prolongs the digest cycle. Too many $$watchers can cause lag. That’s why you should limit their use as much as possible. One needs to keep a check on the digest cycle. To understand this better, consider each digest cycle as a loop that monitors the changes to variables. The shorter the digest cycle, the faster the application will run.

2. Use native JavaScript or Lodash

Lodash improves your application performance by simply re-writing some of the basic logic instead of relying on inbuilt AngularJS methods. Built-in Angular methods mostly account for generic use cases.

3. Minimize the DOM access

Accessing the DOM very frequently could get expensive, so keep your DOM trees small. Don’t modify the DOM if you can help it, and don’t set any inline styles to avoid JavaScript reflow.

4. Use ng-if instead of ng-show/ng-hide

ng-show directive toggles the CSS display property on a particular element while ng-if directive actually removes the element from DOM and re-creates it (if required). Further, ng-switch directive is an alternative to ng-if for the same AngularJS application performance benefits.

5. Ensure proper Bundling and Minification

Bundling and minifying website scripts and stylesheets reduce page load time and asset size. For Bundling and Minification of code at the time of deployment, you can use several task runners available like gulp or grunt.

[Suggest reading – Working with DOM in Angular: unexpected consequences and optimization techniques]

6. Use $watchCollection instead of $watch

$watch with only 2 parameters is faster. However, Angular also supports a 3rd parameter to this function, that can look like this: $watch(‘value’, function( ){ }, true). The third parameter tells Angular to perform deep checking (i.e. to check every property of the object), which could be very time taking. Thus, for more than 2 parameters, use $watchCollection.

7. Use Chrome DevTools like CPU Profiler and Timeline

A general browser-related technique is to use both the browser devTools Profiler and the Timeline tool. It can help you find performance bottlenecks to guide your optimization efforts.

For further application development related queries, please feel free to write to us at hello@mantralabsglobal.com.

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Lake, Lakehouse, or Warehouse? Picking the Perfect Data Playground

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In 1997, the world watched in awe as IBM’s Deep Blue, a machine designed to play chess, defeated world champion Garry Kasparov. This moment wasn’t just a milestone for technology; it was a profound demonstration of data’s potential. Deep Blue analyzed millions of structured moves to anticipate outcomes. But imagine if it had access to unstructured data—Kasparov’s interviews, emotions, and instinctive reactions. Would the game have unfolded differently?

This historic clash mirrors today’s challenge in data architectures: leveraging structured, unstructured, and hybrid data systems to stay ahead. Let’s explore the nuances between Data Warehouses, Data Lakes, and Data Lakehouses—and uncover how they empower organizations to make game-changing decisions.

Deep Blue’s triumph was rooted in its ability to process structured data—moves on the chessboard, sequences of play, and pre-defined rules. Similarly, in the business world, structured data forms the backbone of decision-making. Customer transaction histories, financial ledgers, and inventory records are the “chess moves” of enterprises, neatly organized into rows and columns, ready for analysis. But as businesses grew, so did their need for a system that could not only store this structured data but also transform it into actionable insights efficiently. This need birthed the data warehouse.

Why was Data Warehouse the Best Move on the Board?

Data warehouses act as the strategic command centers for enterprises. By employing a schema-on-write approach, they ensure data is cleaned, validated, and formatted before storage. This guarantees high accuracy and consistency, making them indispensable for industries like finance and healthcare. For instance, global banks rely on data warehouses to calculate real-time risk assessments or detect fraud—a necessity when billions of transactions are processed daily, tools like Amazon Redshift, Snowflake Data Warehouse, and Azure Data Warehouse are vital. Similarly, hospitals use them to streamline patient care by integrating records, billing, and treatment plans into unified dashboards.

The impact is evident: according to a report by Global Market Insights, the globa