Python is one of the most industry-oriented languages. It has versatile usability and features that are great for all types of tech teams. You can make both frontend websites and backend APIs with Python. According to a report by Statista, around 48.24% of the developers worldwide use Python as one of their programming languages. Python is a backend technology in most cases, so monitoring the application is very important. The backend is the backbone of the application.

Frontend monitoring is a process of tracking and maintaining the health of an application’s client-side. It involves monitoring the availability, functionality, and performance of the client-side of an application. We can segment a web application into two parts. I.e., client-side and server-side.

Microservices are one of the hottest app architectures in the current market. They easily solve some of the most common problems with monolithic and service-oriented architecture. The ability to split your application into multiple smaller components and develop as well as monitor them individually opens up a whole new world of possibilities. However, this also brings with it a new set of problems. Monitoring distributed applications requires thinking outside of the box.

SPOTcon 2022 is an annual conference hosted by Scout APM that empowers developers with solutions that drive leading-edge transformation in application development and observability. This year’s event took place virtually and was an educational couple of days filled with insights into the current and future states of application monitoring and observability. Didn’t make it to SPOTcon 2022 this year? Not a problem! Here’s a recap of everything that went down.

If you are running a website or have a live application, you will have to ensure that the digital experience for your end-user is seamless. That is where Synthetic Monitoring can help. Any bad experience, delay, or even a glitch could hurt your budget. Industry experts unanimously agree that it is best to ensure that the web pages load as quickly as possible.

The scope of the OpenTelemetry project encompasses how telemetry data is collected, processed, and transmitted. The OpenTelemetry project is not involved with how the data is stored, displayed, or used beyond the collection and transmission phases. The OpenTelemetry Collector is an application written in Go.

For this post, we’ll use a small Flask app that allows users to input a city name and they receive the current weather information for that city. We’ll make an API call to openweathermap.org to get the weather information for the city.

Imagine this scenario. Your company has been laboring for months on an application and is finally releasing it. Your team has worked out all the potential issues and has created an all-encompassing project, but something is not right. There is an issue, and your team is getting some much-needed R&R. You come the next day and see a ton of irate emails. You have to go back to the drawing boards to figure out what went wrong before you release a fix. What I explained was a nightmare.