{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Programming Tech Brief By HackerNoon","title":"Keyword-Based Anomaly Detection in Log Files","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/8a933877\"></iframe>","width":"100%","height":180,"duration":345,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/keyword-based-anomaly-detection-in-log-files.\nSpring-based suites are utilized to build a log anomaly detection system. This is a three-part series, with the foundation components covered in the first part.\nCheck more stories related to programming at: https://hackernoon.com/c/programming.\n            You can also check exclusive content about #spring-boot, #cybersecurity, #anomaly-detection, #spring-statemachine, #spring-webflux, #java, #threat-detection, #anomaly-detection-in-log-files,  and more.\nThis story was written by: @cybersreejith. Learn more about this writer by checking @cybersreejith's about page,\n            and for more stories, please visit hackernoon.com.\nSpring-based suites such as Spring Web Flux and Spring SSM are utilized to build a log anomaly detection system. This is a three-part series, with the foundation components covered in the first part. The subsequent parts will extend these components to enhance flexibility and robustness.\"","thumbnail_url":"https://img.transistorcdn.com/KhCapPSRkLGL2Xw8888yuChkNRWthaKapLYTvNdu4W4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMTY2LzE2ODM1/ODIzMzAtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}