Say you've been tasked with monitoring an application, so you set up some alerts to let you know when errors are coming in. The minutes roll by, the errors start coming... ...and they don't stop coming... Oh my, there seems to be quite a few errors coming through. Alerting on each error isn't going to help, better report on changes in the error rate instead right? Not quite.
FastAPI is a high-performance web framework for building APIs with Python that has been growing in popularity. In this article, Stefano Frassetto shows us how to set up error monitoring for a FastAPI app using Honeybadger.
Error-free apps are envied by all software teams today. But building and maintaining such an app is not as easy as it looks. You need to constantly keep a check on your app to see when it faces exceptions or errors. This is why we have so many error tracking tools in the current market. Rollbar is a popular error monitoring tool used for tracking and fixing all types of bugs and errors in modern applications. However, it has shortcomings too.
Due to the growing usage of online methods for almost everything globally, technology has become a part of our daily lives. Most people around the world are using mobile apps and websites. Most of the companies are already adopting brand-new tech stacks faster. They are trying hard to implement all the features and make their system robust and powerful. But it is not easy to make an application error-free. It is impossible to track all the issues, reproduce them, and fix them before shipping code.
Modern customers demand that their applications are as seamless and error-free as possible. However, building such apps is a herculean task in itself. You need to constantly look out for incoming exceptions and warnings in your app in production. Effective error monitoring is key to resolving such issues before they are discovered by your users and cause a disruption in the quality of your services.
We all need an application that can run smoothly, but this is not what we always get. After creating an application and putting it to use, you need to check and know when it faces exceptions/errors. As a result, this explains why the current market features several error tracking tools. Airbrake falls under the top-notch error monitoring tools used for log analysis and log management. However, it’s not without its problems.
Traditionally an APM tool, Scout has expanded its service offerings to now include error monitoring of Python web applications for more cohesive and actionable observability insights within a single platform. This new feature supports an overall better user experience by eliminating the need for multiple web-application monitoring services; Scout APM with Scout Error Monitoring offers performance and error insight and alerting within a single, integrated dashboard.
Software has the power to make the world a better place - but the real hero's are the people behind the code along with the technology they use to ship better software, faster. Today we're going to be looking into the top 10 error monitoring tools on the market to help you find the best solution for you and your team. Fortunately, there are plenty of innovative companies providing more powerful tools than ever before, all designed to make your life easier.
[Denver, CO] - Scout APM, a leading provider of Application Performance Monitoring (APM), announced the release of Scout Error Monitoring for Ruby applications on June 1, 2021. Scout APM provides developers and application administrators software performance insights by delivering key web application performance metrics.
Raygun enables you to track errors in your web and mobile applications and set up a process to manage them. This guide will help you set up Raygun to build more stable software.
