Application performance monitoring (APM) is a process of monitoring and analyzing performance issues within an application. In monolithic architecture, monitoring the performance of an application using APM tools was straightforward. However, once the application adopts microservice architecture, the application becomes more complex, and the business functionalities flow into different microservices to complete the workflow.
Python is one of the most used languages among developers. There are many reasons why python is very famous among developers, which we will discuss in this blog. Due to the fame of python, it is used in many business applications, hence monitoring a python application is crucial. New Relic is one of the oldest monitoring tools for python monitoring. But New Relic competitors are growing rapidly; hence, if you do not like the New Relic user interface, many New Relic alternatives exist.
Most software companies rely on DevOps at some scale to aid their software development and deployment processes. DevOps has recently seen a major increase in popularity due to the advent of cloud-based tools and automation possibilities. DevOps can help you completely forget the woes of deploying software and focus better on building better apps and providing a holistic experience for your end user. However, just like other things in tech, DevOps is not perfect.
Following up on my previous piece on the real cost of downtime, I wanted to take a minute to list three ways to reduce the cost of downtime.
Recent economic shifts have affected many in the tech sector; while some of us are seeing significant reductions with hiring freezes and small layoffs, others are continuing business as usual. However, this zeitgeist has all of us looking at expenses that feel not reasonably necessary.
Due to its complex nature compared to the on-prem architecture, the cloud presents several challenges to maintaining observability in your apps. This is why you need a robust cloud monitoring solution to care for your cloud-based apps and your cloud. As more and more companies move their operations to the cloud, the need for cloud monitoring solutions continues to grow. Understanding the various aspects of cloud monitoring and how it affects your application is essential.
Most modern companies that offer web or mobile apps use APM at some stage to enhance their growth. APMs help you to understand what's going on inside your app. It helps you know when something breaks, and it also helps you learn how to make sure it doesn't happen again. However, choosing the right APM solution for your product is complex. If you select the incorrect tool, you may discard it because it will not enable you to meet your observability objectives.
Python web applications are taking over more and more of the internet (source). However, with great Pythonic power comes great responsibility — ensuring that your web applications consistently deliver in terms of performance and reliability. It is one thing to build and ship an application and another to continually monitor and maintain it on the internet.
Django is growing to become one of the most popular web frameworks, and it's built on top of Python, among the easiest programming languages to start with. As the number of companies releasing Django apps increases, it is natural that the need for Django monitoring will also increase. In this guide, we will share the benefits of implementing monitoring in a Django application. Without further ado, let's begin!
