Most applications on the web use Node to process multiple asynchronous events in unison. Its high scalability in handling a constantly increasing volume of requests gives this framework an edge over the other options. It is at the center of a MEAN stack’s framework, serving data quickly and efficiently. Express.js is purpose-built to work with both Node.js and Angular.js.
Node has an expansive logging functionality that is structured using JSON with advanced logging patterns and recorded data fields. Both on-prem and cloud-native Node applications have two logging options; logging to an exportable file or forwarding logs directly to a log management application. Logging Node.js applications is done via third-party logging libraries such as Winston, Pino, and Morgan.
For containerized and orchestrated applications built on the MEAN stack framework, it is recommended to use the console’s transport option to create the path to finally output logs to the container/ orchestrator’s centralized logging location.
Winston is the logging library of choice for most MEAN stack applications. Winston gives the extensibility and flexibility needed to log large application events. Using Winston as your log shipper you can:
Pino is a fast logging option for MEAN stack applications. It offers a command-line logging interface that decouples the log processing, alerting, and reformatting into separate processes, to overcome Node’s single-threaded event loop. For faster performance, Pino offers an extreme mode setting. In this mode, logs are written directly to the output stream to increase efficiency. Pino does this in chunks and this is the downside of using Pino because chunk output may result in missing out some logs when there’s downtime or outage.
Morgan simplifies the process of logging HTTP requests. It is a logging library and not a log shipper like Winston. The automatic logging capabilities of Morgan save time for developers by eliminating the need to manually code the application to log all HTTP requests. Morgan logs in the Apache combined log format and it needs Winston to forward the logs to any external application for analysis and log management.
By default, MongoDB outputs logs in the JSON format for database events such as entries, commands run, and issues. In container orchestrated applications, MongoDB offers a plethora of options to monitor the cluster. When troubleshooting the log granularity can be fine-tuned to get insights into every detail in the database. The most critical log information you can read and actions that you can take to make logs from Mongo useful:
Mongo offers a free log monitoring service named Mongo Atlas, which aggregates Mongo logs and provides insightful metrics. This is exclusive to Mongo logs only and not applicable to the whole stack.
We have a more streamlined and cohesive approach to MEAN stack application in the works. This solution brings unparalleled visibility into your logs and gives you much-needed relief from numerous configurations and preset alterations to aggregate your logs into a unified interface. Follow our blogs to get updates related to this.