Convert Log Files: Parse Text Logs Into JSON
Convert application log files to structured JSON: parse timestamps, severity levels, and message fields with regex or grok patterns for querying.
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Tags: logs, json, devops
Convert Log Files: Parse Plain Text Logs Into JSON for Analysis Plain text logs are human-readable and terrible for querying. The moment you need to answer "what's the P95 response time for in the last hour filtered by 4xx status codes", you want structured JSON — not grep and awk chains. This guide covers converting Apache/Nginx logs, custom app logs, and system logs into NDJSON for analysis in ELK, Loki, or a simple Python script. --- Why NDJSON (Not JSON Arrays) When converting logs to JSON, use Newline-Delimited JSON (NDJSON) — one JSON object per line — not a JSON array of objects: NDJSON is: Streamable — you can a NDJSON file and pipe each line to a parser Memory-efficient — no need to load the entire file to process one record Appendable — just append lines, no need to rewrite the…
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