Struggling to choose between packetbeat and Scout APM? Both products offer unique advantages, making it a tough decision.
packetbeat is a Network & Admin solution with tags like packet-capture, network-analysis, open-source.
It boasts features such as Real-time network packet capture and analysis, Monitors application-layer protocols like HTTP, MySQL, Redis, etc, Collects metrics like response times, errors, bandwidth, Provides insights into network traffic and performance, Built-in dashboards and visualizations, Alerting and anomaly detection capabilities, Lightweight and efficient agent-based architecture and pros including Open source and free to use, Easy to install and configure, Minimal impact on network performance, Supports many common protocols out of the box, Good for monitoring microservices and distributed systems, Integrates well with Elasticsearch, Logstash and Kibana.
On the other hand, Scout APM is a Development product tagged with monitoring, performance, optimization, ruby, python, php, java, nodejs.
Its standout features include Real user monitoring, Error monitoring, Performance insights, Application tracing, Custom metrics, Alerting, and it shines with pros like Easy to set up and use, Detailed performance insights, Support for multiple languages/frameworks, Alerting and error tracking, Great UI and visualization.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Packetbeat is an open source network packet analyzer and monitoring tool. It captures network traffic in real-time and provides visibility into packets flowing through the network. Packetbeat can analyze application-layer protocols like HTTP, MySQL, and Redis to monitor performance.
Scout APM is an application performance monitoring tool that provides deep visibility into Ruby, Python, PHP, Java, and Node.js applications. It helps developers rapidly pinpoint and fix performance issues via its easy-to-use UI, allowing teams to optimize app response time and throughput.