You can view critical details that include CPU usage, memory/garbage collection and JVM arguments. Pinpoint also lets you see the request count and response patterns so you’ll be able to identify potential problems. The dashboard helps visualize how the components are connected, and lets you monitor active threads inside the applications in real time. Meaning that it aims to explain how every transaction gets executed, trace the flows between the components and (bad joke ahead) pinpoints problem areas and potential bottlenecks. The tool helps analyze the overall structure of the system and how components within them are interconnected, by tracing transactions across distributed applications. It’s modelled after Dapper, a distributed systems tracing infrastructure built by Google, providing its developers more information about the behavior of complex distributed systems. Pinpoint is an APM tool made for large scale distributed systems. In the official documentation, Stagemonitor states that it offers support for non servlet based applications as well, and you can check out the full requirements here.īottom line: If you’re already familiar with the ELK stack, it’s definitely worth checking out for a quick test run. You can view the live demo in the following link. It offers an in-browser widget with no backend required that is automatically injected to the monitored webpage. You can create custom dashboards, write your custom plugins or even use 3rd party plugins. Stagemonitor includes a dashboard, so you can visualize and analyse the different metrics and requests you’re interested in. On the monitoring side, you can view historical or live data from the cluster, or directly from the developer server, create custom alerts and define thresholds for each metric. The tool only requires one instance to monitor all applications, instances and hosts and can be deployed inside your own datacenter. Stagemonitor includes an agent that sits in your Java application, sending metrics and request traces to the central database. These databases include Elasticsearch, Graphite and InfluxDB. This tool is optimized for handling time series data, along with arrays of numbers that are indexed by time. The tool integrates with time series databases (TSDB). Meaning that it aims to monitor applications that are running on a number of servers. Stagemonitor offers a Java monitoring agent, that was built with clustered application stacks in mind. If you’re intrigued and want to know exactly what open source APM has in store for you, we’ve covered the top 5 tools available for you: There are a few key APM tools in the open source community as well, each with its own offerings and possibilities. These tools present a good option if you’re interested in an easy way to gain visibility for you application in production, and if you want to know how your code is actually being monitored. However, there’s an alternative in the market: open source tools. Since there are so many players in the game, and they all know the value of monitoring your application, they keep their code for themselves. You have big and well known names such as New Relic, AppDynamics (check out this post for an overview about them), along with Dynatrace (who we compared in previous posts), along with some smaller or lesser known tools. In the following post we’ve gathered some open source APM tools that are available today as an alternative to the paid tools, so you’ll be able to see if it’s the right choice for you. If you’re looking for something a little different in the performance monitoring market, one option you can choose is going for an open sourced tool. That’s why most of us use at least one monitoring tool. We want to make sure the users are getting the best experience they can, and to know that our app is up and running. One of the most important things for any application is performance. Little known yet useful: The state of open source Application Performance Monitoring
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