Applications create logs in multiple destinations and in the cases of microservices, the logs can be distributed across multiple hosts.
Long messages with inconsistent format and parameters increase troubleshooting complexity.
Events must be correlated manually, making transactions tracing and source analysis time-consuming.
Collect real-time log data from your Node.js applications, servers, services, and more.
View, tail, and search through events from a single, central UI to monitor events as they occur.
Troubleshoot a spike in events, quickly get to the root causes, or identify trends and anomalies.
Consolidate your Node.js logging data with syslogs, and other application and database logs to streamline troubleshooting. Automatically aggregate syslog, device, and application messages to a central location. Browse and check any log message as it appears. Set up alerts to message you when potential problems, unusual activities, or possible security threats are detected. Send log messages through many different channels like email, Slack, or PagerDuty. You can create your own custom Webhooks as well. Make automatic backups of all of your log data and send them to the cloud, or generate long-term storage archives to demonstrate compliance.Sign up for a free trial
Monitor all the events as they unfold with log aggregation in real time. Gain insight into system and application performance or errors. Scroll and search through a real-time log message feed. Filter events by level, date, IP address, UUIDS, hostname, service name, or message contents. Search option allows you to easily look through existing logs as new log messages appear in real time, which can be helpful when trying to reproduce Node.js related issues or perform analysis. Save your searches without closing the event viewer window to make future debugging easier.Sign up for a free trial
Use log velocity analytics to visualize the Node.js error flow at a specific point in time. Choose a point in the graph and jump directly to those events. Navigate the events chain to find the source of incident. Easily filter all the events by source, date, severity level or message text, then graph the outcome to see changes over time for unusual patterns and anomalies identification. Explore visual Node.js log data to analyze trends and catch any issue before it becomes critical.Sign up for a free trial