1. Logs Not Ingesting into Loggly
Understanding the Issue
Logs fail to appear in Loggly despite correct configuration.
Root Causes
- Incorrect authentication credentials or token.
- Firewall or network restrictions blocking log transmission.
- Log format incompatibility causing parsing errors.
Fix
Verify the correct Loggly token in configuration:
curl -H "content-type: text/plain" -d "Test Log" https://logs-01.loggly.com/inputs/TOKEN/tag/http/
Ensure outgoing connections to Loggly’s endpoint are not blocked:
telnet logs-01.loggly.com 443
Check if the log format is supported and adjust logging settings:
logger --rfc3164 "Test Syslog Message"
2. Log Retrieval is Delayed
Understanding the Issue
Logs take longer than expected to appear in Loggly’s search.
Root Causes
- Indexing delays due to high log volume.
- Time zone mismatches between log sources and Loggly.
- Network latency affecting log ingestion.
Fix
Reduce log noise by filtering unnecessary logs:
grep -v "DEBUG" /var/log/syslog | logger -n logs-01.loggly.com
Ensure time settings are consistent across log sources:
timedatectl set-timezone UTC
Monitor log ingestion with Loggly’s status API:
curl -u user:password https://logs-01.loggly.com/apiv2/events
3. Logs Not Parsing Correctly
Understanding the Issue
Structured logs such as JSON or Syslog do not parse as expected.
Root Causes
- Incorrect JSON or Syslog formatting.
- Missing field mappings in Loggly’s parser settings.
- Special characters causing parsing failures.
Fix
Validate JSON log structure before sending:
echo '{"level":"error","message":"Test log"}' | jq .
Ensure Syslog messages follow RFC format:
logger --priority user.info "Test Syslog Message"
Use Loggly’s Field Parser to define custom log mappings:
Loggly → Source Setup → Custom Parsing
4. Inefficient Log Searches
Understanding the Issue
Log searches return irrelevant results or take too long.
Root Causes
- Broad search queries leading to large result sets.
- Unindexed fields slowing down searches.
- Incorrect use of search operators.
Fix
Use structured search queries for better accuracy:
json.level:error AND json.message:*timeout*
Enable field indexing for frequent search fields:
Loggly → Source Setup → Enable Field Indexing
Use filters to narrow down search results efficiently:
tag:apache severity:error
5. Integration Issues with External Services
Understanding the Issue
Loggly fails to integrate with third-party tools such as AWS, Kubernetes, or Slack.
Root Causes
- Misconfigured API endpoints.
- Incorrect webhook format for integrations.
- Permission issues preventing external access.
Fix
Verify API integration settings:
curl -X POST https://logs-01.loggly.com/inputs/TOKEN -d '{"message":"Test log"}'
Ensure webhook payloads match expected format:
{
"text": "Loggly Alert: Error detected",
"channel": "#alerts"
}
Grant necessary permissions for external services:
aws logs put-subscription-filter --log-group-name my-group --filter-name my-filter --filter-pattern "ERROR"
Conclusion
Loggly simplifies log management, but troubleshooting log ingestion failures, retrieval delays, parsing issues, search inefficiencies, and integration challenges is crucial for efficient monitoring. By optimizing log formats, ensuring proper indexing, and configuring external integrations correctly, teams can leverage Loggly effectively.
FAQs
1. Why are my logs not appearing in Loggly?
Check authentication tokens, network settings, and log formats.
2. How can I reduce log retrieval delays?
Filter unnecessary logs, synchronize time settings, and monitor ingestion status.
3. Why are my logs not parsing correctly?
Ensure JSON/Syslog formats are valid and configure Loggly’s field parser.
4. How do I improve Loggly search performance?
Use structured queries, enable field indexing, and apply filters.
5. How do I integrate Loggly with external services?
Verify API endpoints, format webhook payloads correctly, and grant necessary permissions.