This will create a sense of responsibility in your team and relieve a lot of stress for your developers because the testing and deployment process is automated.
To keep error counts low, make sure to prioritize code quality, TDD and a nice CI/CD pipeline. If you have a high number of errors, there’s a probability you have issues with code quality. This includes 4xx/5xx status codes, runtime errors and application crashes. To discover issues you need to monitor the amount and type of errors your application is producing. If they stumble upon a problem, they’ll much more likely to leave your site than tell you. You can’t rely on your users telling you. Failing code can go unnoticed for a long period of time if you don’t have a way of knowing about them. Node.js Error Rates and Error Handlingįeatures can quickly turn into bugs. This will give you more insight into the real reason why your services are slow. If you have several APIs, make sure to analyze latency for each of them. What you can do to notice slow services is to collect data on a service level. More importantly, user satisfaction will be higher. It’s no secret, the faster your product is, the more customers you’ll have. That’s how much time you have to make sure you don’t lose that customer for good. It’s a fact that users don’t want to stick around and wait for your application to load. That’s why monitoring CPU utilization and memory is a crucial step. It should give you a way of improving your application so you don’t spend money, time and resources on unnecessary infrastructure because of your poor coding skills.Įliminating performance bottlenecks ensures you don’t need to scale up your infrastructure when you have sudden spikes in traffic. Finding performance issues and giving you an easy way of solving them is why you need to choose your APM tool carefully. Poorly-optimized services use more resources, cost more money and have higher latencies. It should notify you right away about downtimes, high latencies or any service issues that may occur. Your goal is to set up a monitoring solution to monitor how your system is behaving. The probability that they’ll come back is slim if they lose trust in you and your product. What’s much worse is that it causes them to lose trust in you. If your application isn’t working, your customers can’t spend money.
I’ve covered this in more detail in part 1 of this series called Top Node.js Metrics to Monitor. Ranging from general info about system health all the way to how your servers are utilizing memory and CPU cycles. There are a few main factors you want to take into consideration when monitoring your application.
You can easily add APM to your Node.js app with Sematext’s integration for Node.js. I’ll walk you through this in the next few sections of this tutorial. These charts show you averages, percentiles and any custom grouping you might want to define. It’s standardized by showing charts with performance metrics for things like request count, response times, CPU usage and memory utilization.
Time is money, and preventing downtime, loss of resources and saving your product from performance issues will save you money in the long run which is and should be the core focus of every business - to make money.Īpplication Performance Management (APM) defines a way to monitor the performance and availability of software applications. Monitoring provides a way of preventing the loss of customers and crucially, stops you from wasting time. So let’s skip the formalities and jump into some real-world use-cases. To observe and check the progress or quality of (something) over a period of time keep under systematic review.
A proper definition of what monitoring is, by the dictionary, would sound something like this. You want your users to have a pleasant experience in using your software. Monitoring your software revolves around making sure everything works the way it should. What is Application Performance Management? I’ll cover Application Performance Management (APM) and why it’s important, but also Log Management and how you can create structured logs to help you debug, troubleshoot and track errors in your application. This article will dive into how you can monitor your application and make sure these issues don’t happen. But, if a single function blocks the thread or event queue, the application performance will take a huge hit. Parallel execution is simulated in Node.js by using asynchronous execution of functions. This can easily result in memory leaks and high CPU loads. Because Node.js is a dynamically typed programming language and single-threaded you give the interpreter and runtime a lot of freedom to make decisions. There are certain challenges to look out for.