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Administrator Guide
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Collect Logs
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Collect Logs: Apps & Services
- ESXi
- Routers network hardware
- Apple iOS and macOS
- Unix and BSD system logs
- C# and .NET (NLog)
- C# and .NET (log4net)
- Java logback
- Android
- Kubernetes cluster logging with rKubelog
- haproxy
- Advanced Unix logging tips
- Perl
- Windows
- Kubernetes
- Erlang
- Node.js
- Java log4j
- JavaScript
- Unicorn
- PHP
- Docker
- systemd
- Ruby on Rails
- MySQL
- Unix and BSD text log files (remote_syslog2)
- Redis
- Go
- Python
- Elixir
- IIS
- Embedded devices or proprietary systems
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Collect Logs: Hosting Services
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Collect Logs: Integrations
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Manage Logs
- Groups
- Log flood detection
- Web Hooks
- Log colorization
- Linking to logs
- JSON search syntax
- Settings API
- Log destinations
- Alerts
- Command-line client
- Log filtering
- HTTP API
- Automatic S3 archive export
- Managing Senders
- Permanent log archives
- Mapping senders to groups
- Search syntax
- Click-to-search
- Log search API
- Event Viewer
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Send Logs for Analytics
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SolarWinds Users & Orgs
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Support and Security
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What's New
JSON search syntax
In addition to using the Google-esque search syntax to find things in your logs, Papertrail can parse a JSON object that appears at the end of a log line. Each line can contain arbitrary string data before the JSON. For example:
2019-12-02 03:04:05 DEBUG {"a":123,"b":456}JSON Search Syntax
Root level search
json.orgId:1193Example matches:
| Exact match | { "orgId": 1193 }
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| Substring match | { "orgId": 11933962 }
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Nested search
json.user.name:peteExample matches:
| Exact match | { "user": {"name": "Pete"} }
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| Substring match | { "user": {"name": "Peter" } }
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Exact Match
json.orgId:"11933962"Example matches:
| Exact match | { "orgId": 11933962 }
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Negation
json.cursor.tail:false AND -json.orgId:15884562Example matches:
Different value for orgId |
{ "orgId": 11933962, "cursor": {"tail": false} }
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orgId not present |
{ "cursor": {"tail": false} }
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