![]() ![]() The dashboard is much more convenient than having an infinite list of metric updates mixed with alerts.īy just a single glance at a well-designed dashboard, you will know where’s the problem, You don’t have to be a professional mechanic to know that something’s wrong with the car when one of them lights up. There are also indication lights that signal an issue, like low fuel, the battery isn’t charging an engine problem. It displays the current information, like speed, fuel level, and engine RPMs that you check from time to time. You need a concise visual representation of your application’s health, performance, scalability, and other vital metrics. Now that you have useful logs in place, it’s time to make a dashboard. Having them scattered all over the place would make further investigations a nightmare.ĭon’t forget that you can’t access the user’s browser console. ![]() Of course, every piece of the application should send logs to a single monitoring system. Unlike text logs, searching structured records is a breeze that saves countless hours on digging in the logs. It’s a tiny bit of upfront setup effort that pays out in the long run. We suggest using structured logging everywhere. These should capture as much context as possible, including arguments, steps that went good and all the details about potential failure. Warning and Error logs mean something isn’t working as expected. What request? What details? Even for info level logs, add at least some context to link them with the rest. In our opinion, writing useful logs requires a lot of experience.Įveryone knows that you must keep your logs relatively clean to find useful insights there quickly.īesides using different log levels, try to think about how you would debug that application using these records.Ī million “got a request” lines won’t help at all. Ideally, this ID should come from the frontend. This approach will allow you to find everything related to the request manually. If you’re using a different monitoring tool, at least log the same request-id across all the services. Like requests to other microservices, SNS messages, and database calls. Will auto-magically show you the whole request flow along with all the details that happened along the way, It’s not that straightforward to track what caused the issue in the first place. Monoliths are rare nowadays, and with distributed microservice or serverless architecture, Most frontend developers trust the backend too much, so even slightly invalid data may cause huge problems. In modern applications, the frontend is also very complex, and complexity is the number one reason for bugs. It’s good to know that backend works fine but knowing that users have a smooth UX experience is also essential. That might be the case for some mission-critical software, but the users see the frontend of an application, not the backend. Some people think that server monitoring is much more critical. Many proven open-source and proprietary solutions do everything you might ever need in your application out-of-the-box. Monitoring solutions aren’t that different. Using various open-source packages, reliable databases, version control systems, and web servers is the norm. Today, people build software on the shoulders of giants. ![]() Just send an email when something goes wrong, and that’s it.Īs an application grows, monitoring becomes much more complicated.Īggregating repeating errors into one alert, sending the daily digest, collecting issues from multiple microservices, frontend monitoring, data visualization, etc. What are APM tools?ĪPM tools include monitoring solutions that track various components of two types of performance metrics: the performance that users experience, including load and response times during peak usage, and the capacity of computational resources, which helps establish a baseline for performance and identifies possible bottleneck locations.Creating a monitoring solution might seem easy at first glance. APM tools provide real-time performance issue alerts and generate reports that offer data related to performance analysis that helps IT teams repair, improve, or update application software. How do I benefit from APM?Īdopting an integrated APM solution provides a comprehensive view of the performance metrics of business-critical applications. APM allows system administrators to identify and diagnose the root cause of performance problems more efficiently, which helps to ensure a consistent level of service. Application performance management tools monitor the transaction speeds of end-users, systems, and network infrastructure to detect bottlenecks and potential service interruptions. ![]()
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