Cloud Debug Log Analyzer -- 2
Budget: ₹12,500 – ₹37,500 INR
I regularly pull debug logs – sometimes as large as 20 MB – from the workloads running on my cloud platform. I need a lightweight, cloud-hosted application that lets me drop in one of these text files and instantly receive a coherent, well-formatted narrative of what happened during that run.
The story your code generates must capture:
• User activities tracking
• System performance history
• Error and issue history
Charts or dashboards aren’t necessary; a clean, human-readable block of formatted text is what I will copy into tickets and post-mortems. The log lines are structured, yet they vary by service, so the parser has to be tolerant of new or missing content and still stitch events into a single timeline.
Core expectations
• Accept single log files up to 20 MB through a simple upload or API endpoint.
• Process everything server-side and return the text report in seconds.
• Narrative should order events chronologically, group related entries, surface performance metrics, and highlight errors with brief context lines.
• I also need help to host this parser somewhere online.
If you have existing experience with log parsing frameworks, NLP summarisation, or cloud-native serverless runtimes, that will help you move fast. Attached is a sample log file from the cloud system. It generally describes various processes that run on the system such as code execution, automation (flow), validation rules, etc.
The story your code generates must capture:
• User activities tracking
• System performance history
• Error and issue history
Charts or dashboards aren’t necessary; a clean, human-readable block of formatted text is what I will copy into tickets and post-mortems. The log lines are structured, yet they vary by service, so the parser has to be tolerant of new or missing content and still stitch events into a single timeline.
Core expectations
• Accept single log files up to 20 MB through a simple upload or API endpoint.
• Process everything server-side and return the text report in seconds.
• Narrative should order events chronologically, group related entries, surface performance metrics, and highlight errors with brief context lines.
• I also need help to host this parser somewhere online.
If you have existing experience with log parsing frameworks, NLP summarisation, or cloud-native serverless runtimes, that will help you move fast. Attached is a sample log file from the cloud system. It generally describes various processes that run on the system such as code execution, automation (flow), validation rules, etc.