In many critical areas, you can automate the completion of repetitive chores in an efficient and effective manner by using a computer language such as Python. When you are just starting out, it’s vital to understand the fundamentals of Python via coding examples. However, if you want to improve your Python skills, you should concentrate on constructing things and automating real-world tasks.
Nobody likes using an unstable mobile app or even worse, an app that crashes on them. In fact, 9 out of 10 US and UK consumers report uninstalling a mobile application due to poor performance. Crash rates and snappy experiences matter for all applications, but especially for mobile apps. Mobile app crashes and poor performance not only cause users to abandon an app but can also trigger the app to be ranked lower in Apple App Store and Google Play Store search results.
Clever.fm is developing a platform to connect podcast listeners with community and content to make podcasting financially sustainable for creators. Our application provides features such as capturing moments, sharing snippets, and having discussions on podcast episodes.
The following guest post addresses how to improve your services’s performance with Sentry and other application profilers for Python. Check out this post to learn more about application profiling and Sentry’s upcoming mobile application profiling offering. We’re making intentional investments in performance monitoring to make sure we give you all the context to help you solve what’s urgent faster.=
Unless you stare at Sentry all day waiting for error or performance problems to pop up, chances are you rely on alerts to let you know when something breaks or slows down. There are two types of alerts you can set up: 1) Issue Alerts, which are tied to issues that meet predefined criteria, and 2) Metric Alerts, which trigger when error volume or performance metrics like apdex, latency, or throughput surpass a pre-defined threshold.
Monitoring performance in front-end applications is vital. It focuses on the areas of the application users experience. These areas are slow rendering or frame rate, network request errors, and unresponsive user experience. Your application’s users expect the experience of using the application to be fast, responsive, and smooth. In the first article of this series, we discussed some tips for optimizing your React Native application performance.
There are multiple factors including speed, performance, UI interactions, etc. which are critical to the success of your iOS application. Slow and unresponsive applications are despised by users, so it’s critical to thoroughly test before releasing to the public.
Welcome to the final article in this Unity series where we are developing a Unity game.
The main goal of optimization in Django projects is to make it fast to perform database queries by ensuring that your projects run by making the best use of system resources. A properly optimized database will reduce the response time hence a better user experience. In this 4 part series, you will learn how to optimize the different areas of your Django application. This part will focus on optimizing the database for speed in Django applications.
Frontend technologies typically talk to several services in your backend, and those services talk to other services. At the root of every issue is a single event that causes a domino effect. A domino effect that impacts every operation from the first experience on the frontend to the backend API call. Sentry can show you how these exceptions and latency issues impact every one of your services. For example, take the ever common and seemingly simple to resolve 500 - Internal Server Error.
