How can you monitor programming language health and performance for web applications?

2 What to monitor for programming language health and performance?

When monitoring the health and performance of web applications, there are many aspects to consider, depending on your goals and preferences. Commonly monitored metrics include errors, response time, throughput, resources, and user experience. Errors refer to exceptions or failures that prevent your web application from functioning properly. Response time is the time it takes for your web application to process a request and send a response. Throughput is the rate at which your web application handles requests or transactions. Resources are hardware or software resources that your web application consumes or relies on. Finally, user experience is the perception and satisfaction of your web application users. You can monitor each of these metrics in terms of average, median, minimum, maximum, percentile, distribution, breakdown by request type, endpoint, or component, peak trend, utilization of memory, CPU, disk or network availability, latency or performance of databases, servers or external services. Additionally you can monitor user satisfaction, engagement, retention, conversion or feedback as well as user behavior, demographics or preferences.

3 How to monitor programming language health and performance?

Monitoring programming language health and performance for web applications can be done using various tools and techniques, depending on the programming language, framework, platform, or environment. Common and useful ones include logging, profiling, testing, and feedback. Logging involves recording and storing information about events or activities in the web application. Profiling measures and analyzes the performance or resource consumption of the web application. Testing verifies and validates the functionality, reliability, or security of the web application. Finally, feedback collects and analyzes user opinions, suggestions, or complaints. Tools and frameworks compatible with specific programming languages can be used for each of these processes. Additionally, services or platforms can be used to collect, aggregate, analyze, visualize logs; provide insights on performance or resource consumption; simulate, measure, or report on performance or security; and aggregate user feedback.