11 Proven Ways to Optimize Website Performance

4 minutes, 23 seconds read

Published on Nov 26, 2019

Updated on Dec 18, 2019

Website performance optimization or simply, website optimization is a process of improving a website’s loading speed in the browser. It generally involves editing the website to optimize scripts, HTML, or CSS code and reducing the number of web page components like images, scripts, or video for faster loading.

What is web performance?

Web performance is the speed in which web pages are loaded and displayed on the user’s web browser.

The following are the website performance metrics-

#1 DNS lookup time

The Domain Name System (DNS) is the phonebook of the Internet. Users access online information through domain names, like www.mantralabsglobal.com. Web browsers interact through Internet Protocol (IP) addresses. DNS translates domain names to IP addresses so that browsers can load Internet resources.

#2 Initial connection

It is the time for a handshake between the browser and the server to retrieve the contents of the page. Handshaking is a process by which two devices initiate communications (here- browser and server). It initiates with the browser sending a message to the server indicating that it wants to establish a connection.

#3 Waiting time (TTFB)

It is the time spent waiting for the initial response, also known as the Time To First Byte. This time captures the latency (the delay between the instruction and data transfer) of a round trip to the server. It also accounts the time spent waiting for the server’s response.

#4 Download Time

It is the time spent receiving the response data.

11 Proven website performance optimization techniques

You’ll need to consider the following to enhance a website’s performance.

#1 Reduce DNS lookup time

Implement the following to reduce DNS lookup time-

Reduce the number of hostnames, that are used to generate a web page.
Host third party resources locally, which automatically reduces the DNS lookup.
Use DNS Cache, where cache time can be defined to different types of hosts, so it reduces the lookup time.
DNS prefetching: allows browsers to perform DNS lookup in the background while the user browses the current page.
Defer parsing Javascripts, which are not needed while loading a web page but render blockers.
Use a fast DNS provider: choose the DNS providers whose lookup time is minimal.

#2 Browser/Web cache

It is a temporary storage location on a computer for files that a browser downloads to display websites. Locally cached files may include any documents from a website, such as HTML files, CSS style sheets, JavaScript scripts, graphic images, and other multimedia content. When a user revisits the website, the browser checks for the updated content and downloads only those files or what is not already present in the cache. This reduces bandwidth usage on both the user and server-side and loads the page faster.

#3 Image Optimization

It is a process of delivering high-quality images in the right format, dimension, size, and resolution while keeping the smallest possible size. There are different ways to optimize images. You can resize, cache, or compress the image size.

#4 HTML, CSS, and JS Minification

While moving the source of website production, minify the contents of source code (Uglify), to reduce the overall size of the page. It will enhance the download speed for the page content on the web browser.

#5 HTML hierarchy

Maintain the standard HTML hierarchy, which means- push all the render-blocking scripts to the bottom of the page and keep only required assets on the header part of the load content. This way, the user doesn’t have to wait to see the actual page because of render-blocking scripts.

#6 Use Sprites

Sprite images are the group of images, which are combined to create a single image for a web page. As the number of server requests affects the bandwidth and loses the page speed score, it is better to combine all the possible images into sprite images.

#7 Enable compression

The web standards suggest GZIP compression. It is effective for optimum bandwidth utilization while rendering the contents. Let’s say- the overall size of the assets is 900KB. Enabling GZIP compression can compress the content size to at least 600KB. This enhances the bandwidth and pages render at a faster rate.

#8 Use secure channels/protocols

Prefer using secured channels to load the web page contents. It prevents the malware intro into the page.

#9 Reduce the number of redirections

Use a very less number of redirections in the websites. The introduction of too many redirections will consume the DNS lookup time and affect the page load time.

#10 Use CDN

Use CDN paths for the static resources, which enhances the load time performance of the website. CDN is useful for pre-caching static resources, which helps in reducing the time-to-index and hence reduces the load time. Also, distributed data centers host CDNs. Therefore, the nearest CDN host will fetch the assets- boosting the performance of the website.

#11 Avoid hotlinking

Hotlinking is the process of directly using the content from another site into the source website. Avoiding this will affect the bandwidth of both sites.

Also read – Everything you need to know about Test Automation as a Service.

why do we need webpage performance optimization

Do you have any questions regarding your website performance? Feel free to comment or write to us at hello@mantralabsglobal.com & stay tuned for our next article on 8 Factors that Affect Page Load Time & Website Optimization Strategies.

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing, they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human.

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.