Logs serve as the chat history of your application, failures, and everything in between.
Initially, these logs were simple plain text, often cumbersome and difficult to decode. However, as applications have grown in complexity, a more efficient way to interpret these logs has become necessary.
This is where structured logs come into play. Unlike chaotic plain text logs, structured logs organize information systematically, often using JSON format.
Now, let’s understand logs better, especially how to decode JSON logs. We’ll utilize a tool called the JSON Loki pipeline stage to simplify the process.
{
"@timestamp": "2024-02-27T14:13:13.714+00:00",
"@version": "1",
"message": "{\"access-time\":\"2024-02-25T14:13:13.697+0000\",\"account-code\":\"viewsynergy.abc.com\",\"remote-address\":\"49.207.192.81\",\"host\":\"gt-cougar-547c68c464-vz2qp\",\"guid\":\"f53a7273-3e58-4d38-bc7a-0d95edbbfbce\",\"thread\":\"http-nio-8080-exec-12\",\"user\":-2,\"is-static-resource\":false,\"url\":\"/v2/payroll-config/income-tax-agent/calculate/7/100\",\"session-id\":\"cce324dfae80d3cfdcb63766b004dba4\"}",
"logger_name": "com.abc",
"thread_name": "pool-1-thread-1",
"level": "INFO",
"level_value": 20000,
"consumer-id": "0"
}Continue reading “Harnessing the Power of Loki’s JSON Log Parsing in Grafana”