Click the button below to see similar posts for other categories

What Performance Metrics Should Be Monitored After Deploying University Frontend Applications?

In frontend development for university web apps, deploying your application is an important step. But, the work doesn’t stop there! After deployment, it’s crucial to keep an eye on how well the app performs. This can show us how successful the app is and whether users are happy with it. Below are some key performance metrics to track after your application is live.

1. Page Load Time

Page load time is really important. Users want a page to load in about 2 seconds. If it takes longer, they might leave the site. By monitoring this metric, developers can find parts of the app that slow down loading. Tools like Google Lighthouse or WebPageTest can give detailed info on loading times and how to improve them.

2. First Contentful Paint (FCP)

FCP measures how long it takes for the first piece of content to show up on the screen. This is crucial because if users don’t see anything soon, they may think the app is frozen. Keeping track of FCP helps teams find elements that delay loading and fix them.

3. Time to Interactive (TTI)

TTI tells us how long it takes for a page to be fully usable. This includes loading all the scripts that might prevent users from clicking buttons or navigating the page. If TTI takes too long, it can really hurt the user experience. Improving this can make the app easier to use.

4. Cumulative Layout Shift (CLS)

CLS measures how stable the page is while it loads. A high CLS score means that things on the page might move around unexpectedly, causing users to accidentally click on the wrong items. It’s best to aim for a CLS score of less than 0.1 for a smoother experience.

5. Error Rates

It’s important to watch for JavaScript errors or failed network requests. If the number of errors goes up, this could indicate bigger problems with the app that might lead to users leaving. Tools like Sentry can help find and fix these issues.

6. User Engagement Metrics

Beyond just numbers, looking at how users engage with the app can show how well it connects with them. Here are some important metrics to consider:

  • Bounce Rate: The percentage of visitors who leave after only looking at one page.
  • Session Duration: The average time users spend on the site.
  • Conversion Rate: The percentage of users who complete a desired action, like filling out a form.

7. User Experience Feedback

Getting feedback from users can provide valuable insights into how the app is doing. Using things like surveys or feedback forms helps reveal what users think and where improvements are needed. This feedback is really important because just looking at numbers doesn’t tell the whole story.

8. Mobile Performance Metrics

Since many users access apps on phones, it’s essential to track mobile performance as well:

  • Responsive Design Issues: See how the app looks on different screen sizes.
  • Touch Events: Monitor how responsive the app is to touch.
  • Network Speed Variations: Check how performance changes on different network types (like 3G vs. Wi-Fi).

Conclusion

In conclusion, deploying university web apps is just the beginning. It’s important to track a variety of performance metrics, from loading times to user engagement, to ensure a great experience for everyone. By constantly monitoring and improving these metrics, teams can make their applications better and create a welcoming online space for students and staff alike.

Related articles

Similar Categories
Programming Basics for Year 7 Computer ScienceAlgorithms and Data Structures for Year 7 Computer ScienceProgramming Basics for Year 8 Computer ScienceAlgorithms and Data Structures for Year 8 Computer ScienceProgramming Basics for Year 9 Computer ScienceAlgorithms and Data Structures for Year 9 Computer ScienceProgramming Basics for Gymnasium Year 1 Computer ScienceAlgorithms and Data Structures for Gymnasium Year 1 Computer ScienceAdvanced Programming for Gymnasium Year 2 Computer ScienceWeb Development for Gymnasium Year 2 Computer ScienceFundamentals of Programming for University Introduction to ProgrammingControl Structures for University Introduction to ProgrammingFunctions and Procedures for University Introduction to ProgrammingClasses and Objects for University Object-Oriented ProgrammingInheritance and Polymorphism for University Object-Oriented ProgrammingAbstraction for University Object-Oriented ProgrammingLinear Data Structures for University Data StructuresTrees and Graphs for University Data StructuresComplexity Analysis for University Data StructuresSorting Algorithms for University AlgorithmsSearching Algorithms for University AlgorithmsGraph Algorithms for University AlgorithmsOverview of Computer Hardware for University Computer SystemsComputer Architecture for University Computer SystemsInput/Output Systems for University Computer SystemsProcesses for University Operating SystemsMemory Management for University Operating SystemsFile Systems for University Operating SystemsData Modeling for University Database SystemsSQL for University Database SystemsNormalization for University Database SystemsSoftware Development Lifecycle for University Software EngineeringAgile Methods for University Software EngineeringSoftware Testing for University Software EngineeringFoundations of Artificial Intelligence for University Artificial IntelligenceMachine Learning for University Artificial IntelligenceApplications of Artificial Intelligence for University Artificial IntelligenceSupervised Learning for University Machine LearningUnsupervised Learning for University Machine LearningDeep Learning for University Machine LearningFrontend Development for University Web DevelopmentBackend Development for University Web DevelopmentFull Stack Development for University Web DevelopmentNetwork Fundamentals for University Networks and SecurityCybersecurity for University Networks and SecurityEncryption Techniques for University Networks and SecurityFront-End Development (HTML, CSS, JavaScript, React)User Experience Principles in Front-End DevelopmentResponsive Design Techniques in Front-End DevelopmentBack-End Development with Node.jsBack-End Development with PythonBack-End Development with RubyOverview of Full-Stack DevelopmentBuilding a Full-Stack ProjectTools for Full-Stack DevelopmentPrinciples of User Experience DesignUser Research Techniques in UX DesignPrototyping in UX DesignFundamentals of User Interface DesignColor Theory in UI DesignTypography in UI DesignFundamentals of Game DesignCreating a Game ProjectPlaytesting and Feedback in Game DesignCybersecurity BasicsRisk Management in CybersecurityIncident Response in CybersecurityBasics of Data ScienceStatistics for Data ScienceData Visualization TechniquesIntroduction to Machine LearningSupervised Learning AlgorithmsUnsupervised Learning ConceptsIntroduction to Mobile App DevelopmentAndroid App DevelopmentiOS App DevelopmentBasics of Cloud ComputingPopular Cloud Service ProvidersCloud Computing Architecture
Click HERE to see similar posts for other categories

What Performance Metrics Should Be Monitored After Deploying University Frontend Applications?

In frontend development for university web apps, deploying your application is an important step. But, the work doesn’t stop there! After deployment, it’s crucial to keep an eye on how well the app performs. This can show us how successful the app is and whether users are happy with it. Below are some key performance metrics to track after your application is live.

1. Page Load Time

Page load time is really important. Users want a page to load in about 2 seconds. If it takes longer, they might leave the site. By monitoring this metric, developers can find parts of the app that slow down loading. Tools like Google Lighthouse or WebPageTest can give detailed info on loading times and how to improve them.

2. First Contentful Paint (FCP)

FCP measures how long it takes for the first piece of content to show up on the screen. This is crucial because if users don’t see anything soon, they may think the app is frozen. Keeping track of FCP helps teams find elements that delay loading and fix them.

3. Time to Interactive (TTI)

TTI tells us how long it takes for a page to be fully usable. This includes loading all the scripts that might prevent users from clicking buttons or navigating the page. If TTI takes too long, it can really hurt the user experience. Improving this can make the app easier to use.

4. Cumulative Layout Shift (CLS)

CLS measures how stable the page is while it loads. A high CLS score means that things on the page might move around unexpectedly, causing users to accidentally click on the wrong items. It’s best to aim for a CLS score of less than 0.1 for a smoother experience.

5. Error Rates

It’s important to watch for JavaScript errors or failed network requests. If the number of errors goes up, this could indicate bigger problems with the app that might lead to users leaving. Tools like Sentry can help find and fix these issues.

6. User Engagement Metrics

Beyond just numbers, looking at how users engage with the app can show how well it connects with them. Here are some important metrics to consider:

  • Bounce Rate: The percentage of visitors who leave after only looking at one page.
  • Session Duration: The average time users spend on the site.
  • Conversion Rate: The percentage of users who complete a desired action, like filling out a form.

7. User Experience Feedback

Getting feedback from users can provide valuable insights into how the app is doing. Using things like surveys or feedback forms helps reveal what users think and where improvements are needed. This feedback is really important because just looking at numbers doesn’t tell the whole story.

8. Mobile Performance Metrics

Since many users access apps on phones, it’s essential to track mobile performance as well:

  • Responsive Design Issues: See how the app looks on different screen sizes.
  • Touch Events: Monitor how responsive the app is to touch.
  • Network Speed Variations: Check how performance changes on different network types (like 3G vs. Wi-Fi).

Conclusion

In conclusion, deploying university web apps is just the beginning. It’s important to track a variety of performance metrics, from loading times to user engagement, to ensure a great experience for everyone. By constantly monitoring and improving these metrics, teams can make their applications better and create a welcoming online space for students and staff alike.

Related articles