Top open-source application monitoring tools

Let’s start by listing some of the most popular open-source application performance tools:

• Apache Sky Walking is a powerful, distributed performance and log analysis platform. It can monitor applications written in .NET Core, Java, PHP, Node.js, Golang, LUA, C++, and Python. It supports cloud integration and contains features like performance optimization, slow service and endpoint detection, service topology map analysis, and much more. See the feature map in the image below:

Figure 1

• Scouter is a powerful tool that can monitor Redis, Nginx, Kafka, MongoDB, Kubernetes, and other sources. It can monitor CPU, memory network and heap utilization, active users, active services, and more.

• GoappMonotr is a tool that provides performance monitoring for Golang applications.

• Pinpoint is a performance monitoring tool for Python, Java, and PHP applications. It can monitor CPU, memory, and storage utilization. We can integrate it into our project without changing a single line of code.

• Code Speed is a simple APM tool. We can install it into our Python application to monitor and analyze the performance of our code.

Tools like Datadog have community licenses or trials. Also, if we are using Azure, we can enable Azure AppInsights with low cost or no cost at all, depending on bandwidth.

Please check out the following shots for more information regarding this topic:

• How cloud performance monitoring can result in an outage
• What is high-load application architecture on AKS?
• What are the most common application performance anti-patterns?