The earlier you can integrate APM metrics into your application, especially in your staging environment, the better. Why? Using APM metrics can help with visibility in your application development process, as the sooner you can see how your latest code performs, the faster you can optimize your application.
APM tools are Application Performance Monitoring tools that help to evaluate, analyze, and monitor the application's performance. APM is a part of Application Performance Management. However, when it comes to Performance Management at an enterprise level, it is a broader concept in Managing the whole application infrastructure.
Here’s why Scout APM prevents Program Outages and supports your business with smooth operations We all know how we feel when there is a power outage. Think about that feeling for a user using your web application that is not working. Frustrating, huh? Well, the statistics out there are also swinging toward your defense. It was found that only 6% of customers using your application are willing to stay loyal to you after an outage, and 78% would just take the business elsewhere.
N+1 queries are the most common problems among developers. N+1 database query problems occur when you have to call the database for N items, and those N items have again N additional data fields which are not in the same table, and those extra N data fields are required for the use case. Generally, this issue is handled at the time of database designing, but every problem cannot be solved efficiently by one solution, some need to be solved by brute force.
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.
