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11 Proven Ways to Optimize Website Performance

4 minutes, 23 seconds read

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.

Website performance metrics

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-

  1. Reduce the number of hostnames, that are used to generate a web page.
  2. Host third party resources locally, which automatically reduces the DNS lookup.
  3. Use DNS Cache, where cache time can be defined to different types of hosts, so it reduces the lookup time.
  4. DNS prefetching: allows browsers to perform DNS lookup in the background while the user browses the current page.
  5. Defer parsing Javascripts, which are not needed while loading a web page but render blockers.
  6. 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.

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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