Find the relevant entries
Search terms, quoted phrases, exclusions, case matching or regex. Combine severity, structured fields and time filters, then inspect the original entry and its fields.
Inspect JSON, syslog, Apache, Nginx and application logs in Flame IDE. Filter entries, explore timelines and ask AI about errors.
Open a log file, paste an excerpt, or inspect output from Docker, a terminal, or Flame itself. The viewer detects common formats and turns logs into searchable entries alongside your code.
Search terms, quoted phrases, exclusions, case matching or regex. Combine severity, structured fields and time filters, then inspect the original entry and its fields.
Ask a question with a masked sample of matching entries attached. The agent can read more from the viewer and request filter changes, which require your confirmation.
Use the Activity timeline, switch between structured and raw views, refresh supported sources, and export matching entries as CSV or JSON Lines.
Flame detects common formats automatically and falls back to plain or timestamped text when a specific format is not recognized. Text and gzip files, UTF-16 and supported legacy encodings are accepted.
JSON documents, JSON Lines / NDJSON, multiline JSON objects, and logfmt. Includes common JSON output from Pino, Bunyan, Winston, ECS, Docker and journald.
Syslog RFC 5424 and BSD / RFC 3164; Apache and Nginx access and error logs; W3C extended logs used by IIS and CloudFront.
Kubernetes glog / klog, CRI container logs, Android logcat, basic Python logging, Ruby Logger, Redis and legacy MongoDB text logs.
CSV, TSV, semicolon- and pipe-delimited logs, and plain or timestamped text. Supported multiline entries and stack traces stay together.
Combine filters to narrow the incident, then inspect or share the evidence.
Use the Activity chart, time presets from 5 minutes to 30 days, or a custom range with millisecond precision. Switch between UTC and local time; time-only logs support day offsets.
Select a row to see the original entry and filter by field value. Switch to read-only Raw text and use Ctrl/Cmd+F to find text. Docker, terminal and Flame log sources support manual and optional 2.5-second auto-refresh.
With logs loaded, choose Ask AI and enter your question. A bounded sample of matching entries and filter context is staged for the chat, with secrets masked even if revealed in the viewer. The agent can read more matching entries and request filter changes with confirmation.
Export matching entries as CSV or JSON Lines. Secrets are masked by default; exports respect the viewer's current reveal setting, so check it before sharing.
Open Logs Viewer from New tab → More tabs and open, drop or paste logs. Or choose Open in Logs Viewer from a Docker container or terminal.
Search for an error or request ID, choose a time range, and filter by severity or structured field. Select an entry for its original text and details.
Choose Ask AI and send your question with masked matching entries, or export the filtered results as CSV or JSON Lines.