This post is co-written by Fan Zhang, Sr Principal Engineer / Architect from Palo Alto Networks.
Palo Alto Networks’ Device Security team wanted to detect early warning signs of potential production issues to provide more time to SMEs to react to these emerging problems. The primary challenge they faced was that reactively processing over 200 million daily service and application log entries resulted in delayed response times to these critical issues, leaving them at risk for potential service degradation.
To address this challenge, they partnered with the AWS Generative AI Innovation Center (GenAIIC) to develop an automated log classification pipeline powered by Amazon Bedrock. The solution achieved 95% precision in detecting production issues while reducing incident response times by 83%.
In this post, we explore how to build a scalable and cost-effective log analysis system using Amazon Bedrock to transform reactive log monitoring into proactive…