5/27/2023 0 Comments Parsable vs moxtra![]() Let’s say you need to search through your log events to find all instances of a given user performing some action to reports. Also, the last example doesn’t use the same format as the other two. It wouldn’t be a stretch to imagine log events recording different occurrences: INFO|New report created by user 4253Īs you can see, users can also change and delete ports. ![]() Let’s also include the ID of the user who created the report: 14:54:55.1623|INFO|New report created by user 4253 It could use some more context, such as the time of day and a log level to express the severity of the event: 14:52:55.1623|INFO|New report created You have the date in ISO-8601 format, followed by the message. The bare minimum log message for that could look like this: | New report created Say your application lets users create reports, which you want to log. Structured Logging: An Example A Humble Start Structured logging acknowledges that machines are the most common readers of logs nowadays, while also striking a nice balance with the need for human readability. Development resources have to be diverted to do that work, which might be a waste, especially when you consider opportunity cost. The use of inconsistent log formats requires custom software to parse them. Structured logging ensures log events can be easily parsed, which subsequently makes it easier to process log files for business intelligence or analytics purposes. Ensuring logs from different sources use a consistent format makes life easier for system administrators when they need to read raw log files. Structured logging doesn’t only apply for machines. A consistent format for logs makes it easier when an application needs to consume log data from a different one. With structured logging, developers can more easily search through events, making troubleshooting defects easier. Structured logging addresses the limitations of regular logging, bringing benefits for different roles in the organization: This way, you can treat your log events as data rather than mere text. Structured logging makes this easier by generating logs in more easily parsable formats-such as JSON and XML. The assumption here is that humans are the main target audience for logs, which isn’t always the case.įor instance, being able to search through your log files to find all occurrences of a given event is valuable if you’re trying to troubleshoot some issue or investigating a concerning trend. With unstructured logging, events are expressed in plain text-in other words, plain English (or another language). What Is Structured Logging?įirst, to learn what structured logging is, you must take a step back and understand what exactly is unstructured logging. Writing logs in a machine-readable format ensures the log can be leveraged by software. Monitoring Cloud-Based Applications-Best Practices
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