When working with distributed systems behind load balancers, developers often need to monitor identical log files across multiple servers simultaneously. A common scenario involves tracking application logs on serverA and serverB where requests are distributed randomly.
The most straightforward approach combines SSH with tail commands:
ssh admin@serverA "tail -f ~/mylogs/log" &
ssh admin@serverB "tail -f ~/mylogs/log"
To color-code outputs for better differentiation:
ssh admin@serverA "tail -f ~/mylogs/log | sed 's/^/[SERVER_A]/'" &
ssh admin@serverB "tail -f ~/mylogs/log | sed 's/^/[SERVER_B]/'"
For more advanced monitoring, consider these tools:
1. multitail:
multitail -l 'ssh admin@serverA "tail -f ~/mylogs/log"' \
-l 'ssh admin@serverB "tail -f ~/mylogs/log"'
2. tmux session splitting:
tmux new-session -d -s logs "ssh admin@serverA 'tail -f ~/mylogs/log'"
tmux split-window -v "ssh admin@serverB 'tail -f ~/mylogs/log'"
tmux attach -t logs
For frequent use, create a shell script:
#!/bin/bash
servers=("serverA" "serverB")
log_path="~/mylogs/log"
for server in "${servers[@]}"; do
gnome-terminal -- ssh -t admin@$server "tail -f $log_path"
done
ClusterSSH provides synchronized terminal control:
cssh -l admin serverA serverB
# Then run in all windows:
tail -f ~/mylogs/log
When implementing these solutions:
- Use SSH keys instead of passwords
- Consider setting up a jump host for better security
- Limit user permissions on log files
For production environments, consider:
- ELK Stack (Elasticsearch, Logstash, Kibana)
- Fluentd
- Graylog
- AWS CloudWatch Logs
When working with load-balanced servers, developers often need to monitor identical log files across multiple machines in real-time. The naive approach of SSH-ing into each server separately is inefficient and makes correlation analysis difficult.
The most straightforward method combines SSH with standard Unix tools:
ssh admin@serverA "tail -f ~/mylogs/log" &
ssh admin@serverB "tail -f ~/mylogs/log" &
This runs two simultaneous SSH sessions in the background. Add | grep ERROR
to filter specific patterns.
For better visualization, consider these alternatives:
1. Using multitail
multitail -l 'ssh admin@serverA "tail -f ~/mylogs/log"' \
-l 'ssh admin@serverB "tail -f ~/mylogs/log"'
2. ClusterSSH Method
cssh -l admin serverA serverB
# Then run inside all sessions:
tail -f ~/mylogs/log
For mission-critical systems:
- Set up centralized logging with ELK Stack
- Use Kubernetes/Docker log aggregation if applicable
- Configure rsyslog to forward logs to a monitoring host
Always:
1. Use SSH keys instead of passwords
2. Restrict user permissions
3. Consider VPN tunnels for sensitive environments
4. Implement log rotation to prevent disk filling