Structured logging is the method of having a consistent log format for your application logs so that they can be easily searched and analyzed. Having structured logs allows for more efficient searching, filtering, and aggregation of log data. It enables users to extract meaningful information from log data easily.
Winston Logger is one of the most popular logging libraries for Node.js. It is designed to be a simple and universal logging library supporting multiple modes of transport. A transport is essentially a storage device for the logs.
Tools like Fluentbit and Fluentd make log management more efficient by centralizing log data from multiple sources and providing the ability to monitor and analyze it all in one place.
In this tutorial, we will learn about Docker container lifecycle. But first, let me share a personal anecdote. On a hot summer afternoon in 2021, my manager called me out of the blue and said, “Muskan, the project file you shared with me is not working on my machine. Could you please come over and fix the setup? It’s really urgent.” I rushed to his cabin and tried my best but could not fix the dependencies issues.
Docker containers are transient (lasting for a very short time), spawning quickly and in high numbers, which causes metrics bursts. This makes monitoring a challenge due to Docker's scaling and redeployment features. Docker stats is a built-in feature of Docker containers. The docker stats command returns a live data stream of your running containers.
Logs are useful for troubleshooting and identifying issues in applications, as they provide a record of events and activities. However, managing log data can be challenging due to the large volume of log events generated by modern applications, as well as the need to balance the level of detail in the logs and the impact on the application's performance.
Modern-day software systems emit millions of log lines per minute. Cloud computing and containerization have made it easy to have distributed systems. Distributed systems emit logs from multiple sources. While developers have always used logs to debug stand-alone applications, centralized logging solves the challenges of modern-day distributed software systems.
Syslog is an important messaging protocol in computing systems where it is used to send system logs or event messages to a specific server. In Python, you can either use the syslog module or the logging module to collect and send syslogs to a central server.
NGINX is a prominent web server, reverse proxy server, and mail proxy utilized by many websites and applications to serve content to their users. One important aspect of managing a web server is logging, which refers to the process of recording information about the server's activity and performance.
Client logging refers to the practice of collecting and storing log messages generated by client software, such as a web browser or mobile application. These log messages can provide valuable information about the behavior and performance of the client software, as well as any errors or issues that may have occurred.