Srinivasan: Use fetch priorities, lazy loading, and techniques like lazy and eager loading based on the specific needs of your environment to impact LCP positively.
Srinivasan: Pre-built snippets are available; you can follow a specific website for helpful scripts. These scripts cover various aspects, including core web vitals and identifying render-blocking resources.
Srinivasan: Yes, if you have control over the generated code, you can experiment and improve performance metrics, including Largest Contentful Paint (LCP).
Srinivasan: Prioritize fetch for streaming assets, load based on user network conditions, and consider progressive streaming techniques. Analyzing metrics like interaction to next paint (INP) can be challenging but may improve over time.
Hi there,
In case you missed the live session, no problem at all! You can check out the recording right here:
Additionally, we’ve got you covered with a detailed session blog:
To ensure a successful learning performance test:
- Define Objectives: Clearly outline the goals of the test.
- Select Tools: Choose appropriate tools for monitoring and analysis.
- Environment Setup: Replicate real-world conditions in the testing environment.
- Data Preparation: Populate databases with relevant data for realistic scenarios.
- Scripting: Develop robust test scripts to simulate user interactions.
- Baseline Measurement: Establish baseline performance metrics for comparison.
- Collaboration: Coordinate with stakeholders for input and expectations.
- Documentation: Document the entire process for future reference.
From my point of view, there are some important things that you should have to consider to enhance testing skills, Engage in continuous learning through relevant courses and certifications. Practice various testing techniques, including manual and automated testing. Join testing communities to exchange knowledge. Develop a deep understanding of the application under test and its domain. Foster communication skills to collaborate effectively with stakeholders. Stay updated on industry trends and tools. Regularly participate in real-world testing projects for hands-on experience.
SmartUI from LambdaTest is widely recognized as one of the most popular automation testing software for visual testing. It specializes in visual AI and offers a platform that automates the visual validation of web and mobile applications.
It allows testers to identify visual bugs and differences across various browsers, devices, and screen sizes, providing a comprehensive solution for ensuring the visual integrity of applications. Its advanced capabilities, including smart visual testing and automatic baseline maintenance, make it a go-to choice for teams aiming to enhance the visual quality of their software through automation.
Hey there,
As I personally attended this session, I can help you provide the list of Priority-based requirements for web performance.
The requirements for web performance. vary depending on the specific context and goals of the project. However, some common priority-based requirements for web performance include:
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Page Load Time: Ensuring that web pages load quickly is often a top priority. This includes both initial page load time and subsequent interactions that require loading additional content.
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Response Time: The responsiveness of the web application to user interactions, such as clicks and inputs, is crucial for a smooth user experience.
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Resource Optimization: Minimizing the size of resources (such as images, CSS, and JavaScript files) and reducing the number of requests can help improve page load times.
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Scalability: Ensuring that the web application can handle increased traffic and load without significant degradation in performance is important for scalability.
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Reliability: Ensuring the web application performs consistently and reliably under different conditions, such as varying network speeds and device types.
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Mobile Performance: With the increasing use of mobile devices, optimizing performance for mobile users is essential. This includes considerations such as responsive design and efficient use of resources.
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SEO Performance: Performance can also impact search engine rankings, so optimizing for performance can have SEO benefits.
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User Experience: Ultimately, the priority for web performance should be to enhance the overall user experience, ensuring that users can navigate and interact with the web application smoothly and efficiently.
I hope this helps 
Hey there,
To identify and diagnose performance bottlenecks, you can use several strategies:
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Monitoring: Use monitoring tools to track system performance metrics such as CPU usage, memory usage, disk I/O, and network I/O.
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Profiling: Use profiling tools to analyze the performance of your code, identifying which parts are consuming the most resources.
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Benchmarking: Compare the performance of your application against known standards or previous versions to identify areas that need improvement.
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Load Testing: Simulate high loads on your system to see how it performs under stress and identify bottlenecks.
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Code Review: Review your code to identify any inefficient algorithms or code patterns that could be causing performance issues.
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Database Optimization: Optimize your database queries and indexes to improve performance.
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Resource Allocation: Ensure that your resources (CPU, memory, disk space) are properly allocated to avoid bottlenecks.
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Caching: Use caching to store frequently accessed data and reduce the load on your system.
By using these strategies, you can identify and diagnose performance bottlenecks in your system, allowing you to improve its overall performance.
I hope this answers your query.
Hello Dipak,
Congratulations on your new role as a Software Test Engineer! Transitioning into an Automation role or becoming a Software Development Engineer in Test (SDET) can be a great career move, offering opportunities to leverage your testing skills while diving deeper into automation and development.
To make this transition, you’ll need to focus on learning more about automation frameworks and scripting languages (like Python or Java), tools used in automation testing (like Selenium or Appium), and tools like Cypress.
You’ll also need to gain experience in CI/CD pipelines and understand concepts such as version control systems (like Git).
Keep learning, practicing, and looking for opportunities to apply automation within your current role to demonstrate your skills and readiness for the change.
You may also benefit from networking with professionals already working in an automation role or SDET position. This can be a great way to gain valuable insights and may open up mentorship or collaboration opportunities on projects.
Hello There,
When it comes to mobile app testing, selecting the right framework is crucial for ensuring your app delivers a seamless user experience across all devices. Among the plethora of options available, Appium stands out as a highly versatile and widely adopted framework. Appium’s open-source nature allows for testing native, hybrid, and web applications across iOS and Android platforms using the same API, which significantly streamlines the testing process. Its compatibility with multiple programming languages and integration with various development tools enhances its flexibility, making it a go-to choice for testers aiming for efficiency and comprehensive coverage. By leveraging Appium, teams can ensure their apps meet the highest standards of quality and reliability, providing users with exceptional experiences.
Hi,
Well, it depends on what exactly you’re testing and the scale of your web performance test. IMO, generally, for a thorough web performance test, having a server setup that closely resembles your production environment is ideal. This helps in simulating real-world scenarios and gives you more accurate results.
However, it doesn’t always mean you need a high-config server for every test. If you’re testing a small-scale application with a limited user base, you might not require an extensive server setup. On the other hand, if you’re testing a large-scale application with thousands of concurrent users, a robust server setup becomes more crucial to simulate the actual load accurately.
If a high-quality image is needed as per the client’s requirement, how can we build a site with good performance?
Srinivasan: Use progressive images, modern extensions like WebP, and Content Management Systems (CMS) such as Contentful to load progressive images of the appropriate size.
In my experience, analyzing the performance of a streaming web application involves monitoring key metrics such as latency, throughput, and error rates. Utilizing tools like Google Analytics, New Relic, or custom dashboards provides valuable insights into user experience, helping optimize the application for seamless streaming.
In my experience, images and lazy loading greatly impact Largest Contentful Paint (LCP). Optimized images and lazy loading reduce LCP by loading critical content first. Prioritizing visible elements enhances user experience, leading to faster page loads and improved performance, crucial for SEO and user engagement.
To track metrics, create snippets by incorporating keywords like “metrics tracking snippet” or “code snippet for performance monitoring.” From my perspective, embedding these snippets in your presentation ensures seamless metric tracking. Utilize keywords to enhance searchability and clarity in your response.