Implement lazy loading in your existing angular application (get a faster, better and superior performance)

May 29, 20200 likes73 views

The document explains how to implement lazy loading in Angular applications to enhance performance by reducing page load times and conserving bandwidth and system resources. It introduces the ngx-loadable package for easy integration and outlines steps for installation and configuration. The author emphasizes optimizing the process step-by-step and offers services to assist with implementation if needed.

IMPLEMENT LAZY
LOADING IN YOUR
EXISTING ANGULAR
APPLICATION (GET A
FASTER, BETTER AND
SUPERIOR
PERFORMANCE)
www.bacancytechnology.com

Angular is a great JavaScript framework of
modern-day for building interactive
components as well as elements. It is widely
used for building SPAs and dynamic
programming structure. The front-end
framework is based on TypeScript with
additional features like interfaces, classes, and
static typing that encourages component-based
development and make sure that components
are decoupled as well as conveniently reusable.
Images play a significant role in page-load
times, and that’s the reason if you want to
improve the performance of your web
application, lazy-load images come handy.

So, let’s start with
what is Lazy
Loading?

Lazy loading, also known as on-demand
loading, is an optimization technique that
delays the loading or elements or components
until they are brought into the viewport.
When you log in to/admin, you will come across
a JavaScript code ‘chunk’ specially designed for
the Admin dashboard. Likewise, when you load
/shop, you will get a similar “chunk,” specially
written for the Shop! The code is lazy loaded
and injected into the browser for the specific
use of the Shop module.
main.chunk.js // loaded everywhere
shop.chunk.js // lazy module
admin.chunk.js // lazy module
In a layman’s term, while scrolling any
eCommerce website, the bottom images of a
page will only be displayed when the user
scrolls there.

Lazy loading in
Angular, why it
needs your special
attention and
importance?

It is one of the proven ways to improve the
performance of your website.
Reduce Page Load Time: Load only requested
elements and helps to reduce the amount of
data to be loaded.
Conserving Bandwidth: Helps to save
bandwidth from the viewers as well as a web
browser. Deliver only required content and
refrain from sending unnecessary content.
Save System Resources: Render code only
needed. Save memory resources.

How to
Implement Lazy
Loading in
Angular?
ngx-loadable is a lightweight package for
implementing Angular based lazy loading
components. It contains a simple API to
support loading indicators.

Stap 1.
Install ngx-loadable in npm/yarn and add
LoadableModule in your AppModule.
Stap 2.
To add a module with a bootstrapped, follow the
listed below command using Angular CLI.
Make sure that module, as well as component
names are same.Adding components in the
bootstrap is significant as well.
Step 3.

Step 4.
Hovering on the mouse button, you will find
that LoginModal Module is pre-loaded. When
clicking shows it is still downloading, then
LoginModalComponent loads in the ngx-
loadable element.
Configure ngx-loadable using custom paths.
Bypassing configuration to the
LoadableModule.

Lazy-loading non-routable modules—ngx-
loadable is a convenient approach to managing
lazy loading.
To boost the performance of your application, I
strongly recommend it to optimize it step-by-
step, instead of doing it all together in one big
step. Once you follow the above steps and if you
see a chunk, then you have configured it in the
right way.
If you are not sure about how to do it and
looking for the experts who can help you
implement lazy loading into your existing app,
then hire Angular developers from us. We are a
globally renowned Angular development
company, offering top-of-the-line Angular
development services.

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Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.

Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software

Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection. To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses. The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency. This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects

FME for Good: Integrating Multiple Data Sources with APIs to Support Local Ch...Safe Software

Have-a-skate-with-Bob (HASB-KC) is a local charity that holds two Hockey Tournaments every year to raise money in the fight against Pancreatic Cancer. The FME Form software is used to integrate and exchange data via API, between Google Forms, Google Sheets, Stripe payments, SmartWaiver, and the GoDaddy email marketing tools to build a grass-roots Customer Relationship Management (CRM) system for the charity. The CRM is used to communicate effectively and readily with the participants of the hockey events and most importantly the local area sponsors of the event. Communication consists of a BLOG used to inform participants of event details including, the ever-important team rosters. Funds raised by these events are used to support families in the local area to fight cancer and support PanCan research efforts to find a cure against this insidious disease. FME Form removes the tedium and error-prone manual ETL processes against these systems into 1 or 2 workbenches that put the data needed at the fingertips of the event organizers daily freeing them to work on outreach and marketing of the events in the community.

Crypto Super 500 - 14th Report - June2025.pdfStephen Perrenod

This OrionX's 14th semi-annual report on the state of the cryptocurrency mining market. The report focuses on Proof-of-Work cryptocurrencies since those use substantial supercomputer power to mint new coins and encode transactions on their blockchains. Only two make the cut this time, Bitcoin with $18 billion of annual economic value produced and Dogecoin with $1 billion. Bitcoin has now reached the Zettascale with typical hash rates of 0.9 Zettahashes per second. Bitcoin is powered by the world's largest decentralized supercomputer in a continuous winner take all lottery incentive network.

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Floods in Valencia: Two FME-Powered Stories of Data ResilienceSafe Software

In October 2024, the Spanish region of Valencia faced severe flooding that underscored the critical need for accessible and actionable data. This presentation will explore two innovative use cases where FME facilitated data integration and availability during the crisis. The first case demonstrates how FME was used to process and convert satellite imagery and other geospatial data into formats tailored for rapid analysis by emergency teams. The second case delves into making human mobility data—collected from mobile phone signals—accessible as source-destination matrices, offering key insights into population movements during and after the flooding. These stories highlight how FME's powerful capabilities can bridge the gap between raw data and decision-making, fostering resilience and preparedness in the face of natural disasters. Attendees will gain practical insights into how FME can support crisis management and urban planning in a changing climate.

FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)Safe Software

Peoples Gas in Chicago, IL has changed to a new Distribution & Transmission Integrity Management Program (DIMP & TIMP) software provider in recent years. In order to successfully deploy the new software we have created a series of ETL processes using FME Form to transform our gas facility data to meet the required DIMP & TIMP data specifications. This presentation will provide an overview of how we used FME to transform data from ESRI’s Utility Network and several other internal and external sources to meet the strict data specifications for the DIMP and TIMP software solutions.

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Presented by: Anish Kumar LinkedIn: https://www.linkedin.com/in/anishkumar/ This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks). This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights. Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.

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